Index (LangChain4j :: Aggregator 0.37.0-SNAPSHOT API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

ABSOLUTE_DIRECTORY_PATH - Static variable in class dev.langchain4j.data.document.Document

Common metadata key for the absolute path of the directory from which the document was loaded.

AbstractAzureAiSearchEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.search

AbstractAzureAiSearchEmbeddingStore() - Constructor for class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

AbstractBedrockChatModel<T> - Class in dev.langchain4j.model.bedrock.internal

Bedrock chat model

AbstractBedrockChatModel() - Constructor for class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel

AbstractBedrockEmbeddingModel<T> - Class in dev.langchain4j.model.bedrock.internal

Abstract bedrock embedding model

AbstractBedrockEmbeddingModel() - Constructor for class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel

AbstractBedrockStreamingChatModel - Class in dev.langchain4j.model.bedrock.internal

Bedrock Streaming chat model

AbstractBedrockStreamingChatModel() - Constructor for class dev.langchain4j.model.bedrock.internal.AbstractBedrockStreamingChatModel

AbstractSharedBedrockChatModel - Class in dev.langchain4j.model.bedrock.internal

AbstractSharedBedrockChatModel() - Constructor for class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

AbstractWorkersAIModel - Class in dev.langchain4j.model.workersai.client

Abstract class for WorkerAI models as they are all initialized the same way.

AbstractWorkersAIModel(String, String, String) - Constructor for class dev.langchain4j.model.workersai.client.AbstractWorkersAIModel

Simple constructor.

accessToken(String) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder

accessToken(String) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder

accountId - Variable in class dev.langchain4j.model.workersai.client.AbstractWorkersAIModel

Account identifier, provided by the WorkerAI platform.

accountId - Variable in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder

Account identifier, provided by the WorkerAI platform.

accountId - Variable in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder

Account identifier, provided by the WorkerAI platform.

accountId - Variable in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder

Account identifier, provided by the WorkerAI platform.

accountId - Variable in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder

Account identifier, provided by the WorkerAI platform.

accountId(String) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder

Simple constructor.

accountId(String) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder

Simple constructor.

accountId(String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder

Simple constructor.

accountId(String) - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder

Simple constructor.

adapt(TokenStream) - Method in interface dev.langchain4j.spi.services.TokenStreamAdapter

add(ToolSpecification, ToolExecutor) - Method in class dev.langchain4j.service.tool.ToolProviderResult.Builder

add(Document) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add Document to the full text search engine.

add(Embedding) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

Add a new embedding to the store.

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

Add a new embedding to the store.

add(Embedding) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Adds a given embedding to the store.

add(Embedding) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding to the store.

add(Embedding) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore

add(Embedding) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds a given embedding to the store.

add(Embedding) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Adds a given embedding to the store.

add(Embedding) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore

add(Embedding) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Adds a given embedding and the corresponding content that has been embedded to the store.

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding and the related content to the store.

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Adds a given embedding and the corresponding content that has been embedded to the store.

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

add(Embedding, Embedded) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds a given embedding and the corresponding content that has been embedded to the store.

add(Embedding, Embedded) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

add(ChatMessage) - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory

add(ChatMessage) - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory

add(ChatMessage) - Method in interface dev.langchain4j.memory.ChatMemory

Adds a message to the chat memory.

add(TextSegment) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add TextSegment to the full text search engine.

add(TokenUsage) - Method in class dev.langchain4j.model.output.TokenUsage

Adds the token usage of two responses together.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

Add a new embedding to the store.

add(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add content to the full text search engine.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Adds a given embedding to the store.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding to the store.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore

add(String, Embedding) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds a given embedding to the store.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Adds a given embedding to the store.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore

Adds a new embedding with provided ID to the store.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

Adds a new embedding with provided ID to the store.

add(String, Embedding, Embedded) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

add(String, Object) - Method in class dev.langchain4j.data.document.Metadata

Deprecated, for removal: This API element is subject to removal in a future version.

as of 0.31.0, use Metadata.put(String, String), Metadata.put(String, int), Metadata.put(String, long), Metadata.put(String, float), Metadata.put(String, double) instead.

add(String, String) - Method in class dev.langchain4j.data.document.Metadata

Deprecated, for removal: This API element is subject to removal in a future version.

as of 0.31.0, use Metadata.put(String, String), Metadata.put(String, int), Metadata.put(String, long), Metadata.put(String, float), Metadata.put(String, double) instead.

add(List<TextSegment>) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add a list of TextSegments to the full text search engine.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Adds multiple embeddings to the store.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add a list of embeddings to the store.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

Add multiple embeddings as a single action.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore

addAll(List<Embedding>) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds multiple embeddings to the store.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Adds multiple embeddings to the store.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

addAll(List<Embedding>, List<Embedded>) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds multiple embeddings and their corresponding contents that have been embedded to the store.

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore

Add multiple Embedding instances to the repository.

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore

addAll(List<String>, List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

addAll(List<String>, List<Embedding>, List<Embedded>) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore

Adds multiple embeddings and their corresponding contents that have been embedded to the store.

addAll(List<String>, List<Embedding>, List<Embedded>) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore

addAll(Map<ToolSpecification, ToolExecutor>) - Method in class dev.langchain4j.service.tool.ToolProviderResult.Builder

addBooleanProperty(String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single boolean property to the properties of this JSON object.

addBooleanProperty(String, String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single boolean property with a description to the properties of this JSON object.

addColumn(String, String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder

addColumn(String, String, String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder

addEnumProperty(String, List<String>) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single enum property to the properties of this JSON object.

addEnumProperty(String, List<String>, String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single enum property with a description to the properties of this JSON object.

addIntegerProperty(String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single integer property to the properties of this JSON object.

addIntegerProperty(String, String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single integer property with a description to the properties of this JSON object.

additionalParams() - Method in class dev.langchain4j.web.search.WebSearchRequest

Get the additional parameters for the search request.

additionalParams(Map<String, Object>) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder

Set the additional parameters for the search request.

additionalProperties() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema

additionalProperties(Boolean) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

addMessage(WorkersAiChatCompletionRequest.MessageRole, String) - Method in class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest

Adds a new message to the chat completion request.

addNumberProperty(String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single number property to the properties of this JSON object.

addNumberProperty(String, String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single number property with a description to the properties of this JSON object.

addOptionalParameter(String, JsonSchemaProperty...) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.Builder.parameters(JsonObjectSchema) instead. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

addOptionalParameter(String, Iterable<JsonSchemaProperty>) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.Builder.parameters(JsonObjectSchema) instead. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

addParameter(String, JsonSchemaProperty...) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.Builder.parameters(JsonObjectSchema) instead. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

addParameter(String, Iterable<JsonSchemaProperty>) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.Builder.parameters(JsonObjectSchema) instead. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

addProperty(String, JsonSchemaElement) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single property to the properties of this JSON object.

addStringProperty(String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single string property to the properties of this JSON object.

addStringProperty(String, String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Adds a single string property with a description to the properties of this JSON object.

aggregate(Map<Query, Collection<List<Content>>>) - Method in interface dev.langchain4j.rag.content.aggregator.ContentAggregator

Aggregates all Contents retrieved by all ContentRetrievers using all Querys.

aggregate(Map<Query, Collection<List<Content>>>) - Method in class dev.langchain4j.rag.content.aggregator.DefaultContentAggregator

aggregate(Map<Query, Collection<List<Content>>>) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator

ai - Enum constant in enum class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.MessageRole

The message is from the AI.

AI - Enum constant in enum class dev.langchain4j.data.message.ChatMessageType

A message from the AI.

AI21_JAMBA_1_5_LARGE - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

AI21_JAMBA_1_5_MINI - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

AI21_JAMBA_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

aiMessage() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse

aiMessage() - Method in class dev.langchain4j.model.chat.response.ChatResponse

aiMessage(ToolExecutionRequest...) - Static method in class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given tool execution requests.

aiMessage(AiMessage) - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder

aiMessage(AiMessage) - Method in class dev.langchain4j.model.chat.response.ChatResponse.Builder

aiMessage(String) - Static method in class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given text.

aiMessage(String, List<ToolExecutionRequest>) - Static method in class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given text and tool execution requests.

aiMessage(List<ToolExecutionRequest>) - Static method in class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given tool execution requests.

AiMessage - Class in dev.langchain4j.data.message

Represents a response message from an AI (language model).

AiMessage(String) - Constructor for class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given text.

AiMessage(String, List<ToolExecutionRequest>) - Constructor for class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given text and tool execution requests.

AiMessage(List<ToolExecutionRequest>) - Constructor for class dev.langchain4j.data.message.AiMessage

Create a new AiMessage with the given tool execution requests.

aiMessageFrom(ChatCompletionResponse) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

aiMessageFrom(MistralAiChatCompletionResponse) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

aiServiceClass - Variable in class dev.langchain4j.service.AiServiceContext

AiServiceContext - Class in dev.langchain4j.service

AiServiceContext(Class<?>) - Constructor for class dev.langchain4j.service.AiServiceContext

AiServices<T> - Class in dev.langchain4j.service

AI Services is a high-level API of LangChain4j to interact with ChatLanguageModel and StreamingChatLanguageModel.

AiServices(AiServiceContext) - Constructor for class dev.langchain4j.service.AiServices

AiServicesFactory - Interface in dev.langchain4j.spi.services

AiServiceTokenStream - Class in dev.langchain4j.service

AiServiceTokenStream(List<ChatMessage>, List<ToolSpecification>, Map<String, ToolExecutor>, List<Content>, AiServiceContext, Object) - Constructor for class dev.langchain4j.service.AiServiceTokenStream

ALL - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.ReturnLikelihood

ALLOW_ADULT - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration

ALLOW_ALL - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration

allowCodeExecution - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

allowCodeExecution - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

AmazonS3DocumentLoader - Class in dev.langchain4j.data.document.loader.amazon.s3

AmazonS3DocumentLoader(S3Client) - Constructor for class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader

AmazonS3DocumentLoader.Builder - Class in dev.langchain4j.data.document.loader.amazon.s3

AmazonS3Source - Class in dev.langchain4j.data.document.source.amazon.s3

AmazonS3Source(InputStream, String, String) - Constructor for class dev.langchain4j.data.document.source.amazon.s3.AmazonS3Source

AnalogFilm - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

and(Filter) - Method in interface dev.langchain4j.store.embedding.filter.Filter

and(Filter, Filter) - Static method in interface dev.langchain4j.store.embedding.filter.Filter

And - Class in dev.langchain4j.store.embedding.filter.logical

And(Filter, Filter) - Constructor for class dev.langchain4j.store.embedding.filter.logical.And

Anime - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

AnthropicApi - Interface in dev.langchain4j.model.anthropic.internal.api

AnthropicCacheControl - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicCacheControl(String) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheControl

AnthropicCacheType - Enum Class in dev.langchain4j.model.anthropic.internal.api

AnthropicChatModel - Class in dev.langchain4j.model.anthropic

Represents an Anthropic language model with a Messages (chat) API.

AnthropicChatModel.AnthropicChatModelBuilder - Class in dev.langchain4j.model.anthropic

AnthropicChatModelBuilder() - Constructor for class dev.langchain4j.model.anthropic.AnthropicChatModel.AnthropicChatModelBuilder

AnthropicChatModelName - Enum Class in dev.langchain4j.model.anthropic

See more details here.

AnthropicClaude3_5SonnetV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaude3HaikuV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaude3SonnetV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types

AnthropicClaude3SonnetV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaudeInstantV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types

AnthropicClaudeInstantV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaudeV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types

AnthropicClaudeV2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types

AnthropicClaudeV2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaudeV2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel.Types

AnthropicClaudeV2_1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types

AnthropicClaudeV2_1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types

AnthropicClaudeV2_1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel.Types

AnthropicClient - Class in dev.langchain4j.model.anthropic.internal.client

AnthropicClient() - Constructor for class dev.langchain4j.model.anthropic.internal.client.AnthropicClient

AnthropicClient.Builder<T,B> - Class in dev.langchain4j.model.anthropic.internal.client

AnthropicClientBuilderFactory - Interface in dev.langchain4j.model.anthropic.internal.client

AnthropicContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicContent() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicContent

AnthropicContentBlockType - Enum Class in dev.langchain4j.model.anthropic.internal.api

AnthropicCreateMessageRequest - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicCreateMessageRequest() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

AnthropicCreateMessageResponse - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicCreateMessageResponse() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse

AnthropicDelta - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicDelta() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta

AnthropicHttpException - Exception Class in dev.langchain4j.model.anthropic.internal.client

AnthropicHttpException(Integer, String) - Constructor for exception class dev.langchain4j.model.anthropic.internal.client.AnthropicHttpException

AnthropicImageContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicImageContent(String, String) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContent

AnthropicImageContentSource - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicImageContentSource() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContentSource

AnthropicMapper - Class in dev.langchain4j.model.anthropic.internal.mapper

AnthropicMapper() - Constructor for class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

AnthropicMessage - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicMessage() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicMessage

AnthropicMessageContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicMessageContent(String) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicMessageContent

AnthropicMessageContent(String, AnthropicCacheControl) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicMessageContent

AnthropicResponseMessage - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicResponseMessage() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage

AnthropicRole - Enum Class in dev.langchain4j.model.anthropic.internal.api

AnthropicStreamingChatModel - Class in dev.langchain4j.model.anthropic

Represents an Anthropic language model with a Messages (chat) API.

AnthropicStreamingChatModel.AnthropicStreamingChatModelBuilder - Class in dev.langchain4j.model.anthropic

AnthropicStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel.AnthropicStreamingChatModelBuilder

AnthropicStreamingData - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicStreamingData() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData

AnthropicTextContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicTextContent(String) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicTextContent

AnthropicTextContent(String, AnthropicCacheControl) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicTextContent

AnthropicTokenUsage - Class in dev.langchain4j.model.anthropic

AnthropicTokenUsage(Integer, Integer, Integer, Integer) - Constructor for class dev.langchain4j.model.anthropic.AnthropicTokenUsage

Creates a new AnthropicTokenUsage instance with the given input, output token counts and cache creation/read input tokens.

AnthropicTool - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicTool() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicTool

AnthropicToolChoice - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolChoice.Builder - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolChoiceType - Enum Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolResultContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolResultContent(String, String, Boolean) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicToolResultContent

AnthropicToolSchema - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolSchema() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicToolSchema

AnthropicToolUseContent - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicToolUseContent(String, String, Map<String, Object>) - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicToolUseContent

AnthropicUsage - Class in dev.langchain4j.model.anthropic.internal.api

AnthropicUsage() - Constructor for class dev.langchain4j.model.anthropic.internal.api.AnthropicUsage

anthropicVersion - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

ANY - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoiceType

ANY - Enum constant in enum class dev.langchain4j.model.googleai.GeminiMode

ANY - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolChoiceName

ANY - Enum constant in enum class dev.langchain4j.model.vertexai.ToolCallingMode

Gemini must ask only for a specified set of function calls (defined by the allowedFunctionNames() method)

anyOf() - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema

anyOf(JsonSchemaElement...) - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema.Builder

anyOf(List<JsonSchemaElement>) - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema.Builder

ApachePdfBoxDocumentParser - Class in dev.langchain4j.data.document.parser.apache.pdfbox

Parses PDF file into a Document using Apache PDFBox library

ApachePdfBoxDocumentParser() - Constructor for class dev.langchain4j.data.document.parser.apache.pdfbox.ApachePdfBoxDocumentParser

ApachePdfBoxDocumentParser(boolean) - Constructor for class dev.langchain4j.data.document.parser.apache.pdfbox.ApachePdfBoxDocumentParser

ApachePoiDocumentParser - Class in dev.langchain4j.data.document.parser.apache.poi

Parses Microsoft Office file into a Document using Apache POI library.

ApachePoiDocumentParser() - Constructor for class dev.langchain4j.data.document.parser.apache.poi.ApachePoiDocumentParser

ApacheTikaDocumentParser - Class in dev.langchain4j.data.document.parser.apache.tika

Parses files into Documents using Apache Tika library, automatically detecting the file format.

ApacheTikaDocumentParser() - Constructor for class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser

Creates an instance of an ApacheTikaDocumentParser with the default Tika components.

ApacheTikaDocumentParser(Supplier<Parser>, Supplier<ContentHandler>, Supplier<Metadata>, Supplier<ParseContext>) - Constructor for class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser

Creates an instance of an ApacheTikaDocumentParser with the provided suppliers for Tika components.

ApacheTikaDocumentParser(Parser, ContentHandler, Metadata, ParseContext) - Constructor for class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser

Deprecated, for removal: This API element is subject to removal in a future version.

Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files.

ApacheTikaDocumentParserFactory - Class in dev.langchain4j.data.document.parser.apache.tika

ApacheTikaDocumentParserFactory() - Constructor for class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParserFactory

apiKey - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder

apiKey - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

apiKey - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

apiKey - Variable in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder

apiKey - Variable in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder

apiKey() - Method in interface dev.langchain4j.model.huggingface.spi.HuggingFaceClientFactory.Input

apiKey(String) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

Sets the Azure OpenAI API key.

apiKey(String) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder

apiKey(String) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

apiKey(String) - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder

apiKey(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder

apiKey(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder

apiKey(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the Azure AI Search API key.

apiKey(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Sets the Azure AI Search API key.

apiKey(String) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead

apiKey(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder

apiKey(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder

apiKey(String) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder

ApiResponse<T> - Class in dev.langchain4j.model.workersai.client

Multiple models leverage the same output format, so we can use this class to parse the response.

ApiResponse() - Constructor for class dev.langchain4j.model.workersai.client.ApiResponse

Default constructor.

ApiResponse.Error - Class in dev.langchain4j.model.workersai.client

Error class.

apiToken - Variable in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder

ModelName, preferred as enum for extensibility.

apiToken - Variable in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder

ModelName, preferred as enum for extensibility.

apiToken - Variable in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder

ModelName, preferred as enum for extensibility.

apiToken - Variable in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder

ModelName, preferred as enum for extensibility.

apiToken(String) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder

Sets the apiToken for the Worker AI model builder.

apiToken(String) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder

Sets the apiToken for the Worker AI model builder.

apiToken(String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder

Sets the apiToken for the Worker AI model builder.

apiToken(String) - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder

Sets the apiToken for the Worker AI model builder.

apiUrl(String) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader.Builder

append(ChatCompletionResponse) - Method in class dev.langchain4j.model.openai.OpenAiStreamingResponseBuilder

append(CompletionResponse) - Method in class dev.langchain4j.model.openai.OpenAiStreamingResponseBuilder

applicationName(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder

apply(Object) - Method in class dev.langchain4j.model.input.PromptTemplate

Applies a value to a template containing a single variable.

apply(Map<String, Object>) - Method in class dev.langchain4j.model.input.PromptTemplate

Applies multiple values to a template containing multiple variables.

areNotNullOrBlank(String...) - Static method in class dev.langchain4j.internal.Utils

Are all the given strings not null and not blank?

arguments() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest

Returns the arguments of the tool.

arguments(String) - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest.Builder

Sets the arguments.

ARRAY - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty

Deprecated, for removal: This API element is subject to removal in a future version.

please use JsonArraySchema.builder() instead

Artifact() - Constructor for class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModelResponse.Artifact

asMap() - Method in class dev.langchain4j.data.document.Metadata

Deprecated, for removal: This API element is subject to removal in a future version.

as of 0.31.0, use Metadata.toMap() instead.

aspectRatio(VertexAiImageModel.AspectRatio) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

ASSISTANT - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicRole

ASSISTANT - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole

ASSISTANT_PROMPT - Static variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

assistantPrompt - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

AstraDbEmbeddingStore - Class in dev.langchain4j.store.embedding.astradb

Implementation of EmbeddingStore using AstraDB.

AstraDbEmbeddingStore(AstraDBCollection) - Constructor for class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Initialization of the store with an EXISTING collection.

AstraDbEmbeddingStore(AstraDBCollection, int, int) - Constructor for class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore

Initialization of the store with an EXISTING collection.

Attribute() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

attributes() - Method in class dev.langchain4j.model.chat.listener.ChatModelErrorContext

attributes() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequestContext

attributes() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponseContext

audio() - Method in class dev.langchain4j.data.message.AudioContent

Get the Audio.

Audio - Class in dev.langchain4j.data.audio

AUDIO - Enum constant in enum class dev.langchain4j.data.message.ContentType

Audio content.

Audio.Builder - Class in dev.langchain4j.data.audio

Builder for Audio.

AudioContent - Class in dev.langchain4j.data.message

AudioContent(Audio) - Constructor for class dev.langchain4j.data.message.AudioContent

Create a new AudioContent from the given Audio.

AudioContent(String) - Constructor for class dev.langchain4j.data.message.AudioContent

Create a new AudioContent from the given url.

AudioContent(String, String) - Constructor for class dev.langchain4j.data.message.AudioContent

Create a new AudioContent from the given base64 data and mime type.

AudioContent(URI) - Constructor for class dev.langchain4j.data.message.AudioContent

Create a new AudioContent from the given url.

augment(UserMessage, Metadata) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor

Deprecated.

use DefaultRetrievalAugmentor.augment(AugmentationRequest) instead.

augment(UserMessage, Metadata) - Method in interface dev.langchain4j.rag.RetrievalAugmentor

Deprecated.

Use/implement RetrievalAugmentor.augment(AugmentationRequest) instead.

augment(AugmentationRequest) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor

augment(AugmentationRequest) - Method in interface dev.langchain4j.rag.RetrievalAugmentor

Augments the ChatMessage provided in the AugmentationRequest with retrieved Contents.

AugmentationRequest - Class in dev.langchain4j.rag

Represents a request for ChatMessage augmentation.

AugmentationRequest(ChatMessage, Metadata) - Constructor for class dev.langchain4j.rag.AugmentationRequest

AugmentationResult - Class in dev.langchain4j.rag

Represents the result of a ChatMessage augmentation.

AugmentationResult(ChatMessage, List<Content>) - Constructor for class dev.langchain4j.rag.AugmentationResult

AugmentationResult.AugmentationResultBuilder - Class in dev.langchain4j.rag

AuthInterceptor(String) - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiClient.AuthInterceptor

Constructs an AuthInterceptor with a specified authorization token.

AUTO - Enum constant in enum class dev.langchain4j.data.message.ImageContent.DetailLevel

Auto detail.

AUTO - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoiceType

AUTO - Enum constant in enum class dev.langchain4j.model.googleai.GeminiMode

AUTO - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolChoiceName

AUTO - Enum constant in enum class dev.langchain4j.model.vertexai.ToolCallingMode

Lets Gemini decide if it needs to request a function call

autoFlushOnInsert(Boolean) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder

autoTruncate(Boolean) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder

availableModels() - Method in class dev.langchain4j.model.mistralai.MistralAiModels

Retrieves the list of all available models.

availableModels() - Method in class dev.langchain4j.model.ollama.OllamaModels

awsCredentials(AwsCredentials) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder

Set the AWS credentials.

AwsCredentials - Class in dev.langchain4j.data.document.loader.amazon.s3

Represents an AWS credentials object, including access key ID, secret access key, and optional session token.

AwsCredentials(String, String) - Constructor for class dev.langchain4j.data.document.loader.amazon.s3.AwsCredentials

AwsCredentials(String, String, String) - Constructor for class dev.langchain4j.data.document.loader.amazon.s3.AwsCredentials

AzureAiSearchContentRetriever - Class in dev.langchain4j.rag.content.retriever.azure.search

Represents Azure AI Search Service as a ContentRetriever.

AzureAiSearchContentRetriever(String, AzureKeyCredential, TokenCredential, boolean, int, SearchIndex, String, EmbeddingModel, int, double, AzureAiSearchQueryType, AzureAiSearchFilterMapper, Filter) - Constructor for class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

AzureAiSearchContentRetriever.Builder - Class in dev.langchain4j.rag.content.retriever.azure.search

AzureAiSearchEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.search

Azure AI Search EmbeddingStore Implementation

AzureAiSearchEmbeddingStore(String, AzureKeyCredential, boolean, int, String, AzureAiSearchFilterMapper) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, AzureKeyCredential, boolean, SearchIndex, String, AzureAiSearchFilterMapper) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, TokenCredential, boolean, int, String, AzureAiSearchFilterMapper) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, TokenCredential, boolean, SearchIndex, String, AzureAiSearchFilterMapper) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.azure.search

AzureAiSearchFilterMapper - Interface in dev.langchain4j.rag.content.retriever.azure.search

AzureAiSearchQueryType - Enum Class in dev.langchain4j.rag.content.retriever.azure.search

AzureAiSearchRuntimeException - Exception Class in dev.langchain4j.store.embedding.azure.search

AzureAiSearchRuntimeException() - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

AzureAiSearchRuntimeException(String) - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

AzureAiSearchRuntimeException(String, Throwable) - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

AzureBlobStorageDocumentLoader - Class in dev.langchain4j.data.document.loader.azure.storage.blob

AzureBlobStorageDocumentLoader(BlobServiceClient) - Constructor for class dev.langchain4j.data.document.loader.azure.storage.blob.AzureBlobStorageDocumentLoader

AzureBlobStorageSource - Class in dev.langchain4j.data.document.source.azure.storage.blob

AzureBlobStorageSource(InputStream, String, String, String, BlobProperties) - Constructor for class dev.langchain4j.data.document.source.azure.storage.blob.AzureBlobStorageSource

AzureCosmosDbMongoVCoreDocument - Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

AzureCosmosDbMongoVCoreDocument() - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreDocument

AzureCosmosDbMongoVCoreEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

Represents an Azure CosmosDB Mongo vCore as an embedding store.

AzureCosmosDbMongoVCoreEmbeddingStore(MongoClient, String, String, String, String, String, CreateCollectionOptions, Boolean, String, Integer, Integer, Integer, Integer, Integer) - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore

AzureCosmosDbMongoVCoreEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric - Enum Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType - Enum Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

AzureCosmosDbMongoVCoreMatchedDocument - Class in dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore

AzureCosmosDbMongoVCoreMatchedDocument() - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreMatchedDocument

AzureCosmosDbNoSqlEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.cosmos.nosql

You can read more about vector search using Azure Cosmos DB NoSQL here.

AzureCosmosDbNoSqlEmbeddingStore(CosmosClient, String, String, CosmosVectorEmbeddingPolicy, List<CosmosVectorIndexSpec>, CosmosContainerProperties) - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore

AzureCosmosDbNoSqlMatchedDocument - Class in dev.langchain4j.store.embedding.azure.cosmos.nosql

AzureCosmosDbNoSqlMatchedDocument() - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlMatchedDocument

AzureOpenAiChatModel - Class in dev.langchain4j.model.azure

Represents an OpenAI language model, hosted on Azure, that has a chat completion interface, such as gpt-3.5-turbo.

AzureOpenAiChatModel(OpenAIClient, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel

AzureOpenAiChatModel(String, String, KeyCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel

AzureOpenAiChatModel(String, String, TokenCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel

AzureOpenAiChatModel(String, String, String, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel

AzureOpenAiChatModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiChatModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiChatModel.Builder instances.

AzureOpenAiChatModelName - Enum Class in dev.langchain4j.model.azure

You can get the latest model names from the Azure OpenAI documentation or by executing the Azure CLI command: az cognitiveservices account list-models --resource-group "$RESOURCE_GROUP" --name "$AI_SERVICE" -o table

AzureOpenAiEmbeddingModel - Class in dev.langchain4j.model.azure

Represents an OpenAI embedding model, hosted on Azure, such as text-embedding-ada-002.

AzureOpenAiEmbeddingModel(String, String, KeyCredential, String, Tokenizer, Duration, Integer, ProxyOptions, boolean, String, Integer, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel

AzureOpenAiEmbeddingModel(String, String, TokenCredential, String, Tokenizer, Duration, Integer, ProxyOptions, boolean, String, Integer, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel

AzureOpenAiEmbeddingModel(String, String, String, String, Tokenizer, Duration, Integer, ProxyOptions, boolean, String, Integer, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel

AzureOpenAiEmbeddingModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiEmbeddingModel.Builder instances.

AzureOpenAiEmbeddingModelName - Enum Class in dev.langchain4j.model.azure

AzureOpenAiImageModel - Class in dev.langchain4j.model.azure

Represents an OpenAI image model, hosted on Azure, such as dall-e-3.

AzureOpenAiImageModel(OpenAIClient, String, String, String, String, String, String) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiImageModel

AzureOpenAiImageModel(String, String, KeyCredential, String, String, String, String, String, String, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiImageModel

AzureOpenAiImageModel(String, String, TokenCredential, String, String, String, String, String, String, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiImageModel

AzureOpenAiImageModel(String, String, String, String, String, String, String, String, String, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiImageModel

AzureOpenAiImageModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiImageModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiImageModel.Builder instances.

AzureOpenAiImageModelName - Enum Class in dev.langchain4j.model.azure

AzureOpenAiLanguageModel - Class in dev.langchain4j.model.azure

Represents an OpenAI language model, hosted on Azure, such as gpt-3.5-turbo-instruct.

AzureOpenAiLanguageModel(OpenAIClient, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Integer) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiLanguageModel

AzureOpenAiLanguageModel(String, String, KeyCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Integer, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiLanguageModel

AzureOpenAiLanguageModel(String, String, TokenCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Integer, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiLanguageModel

AzureOpenAiLanguageModel(String, String, String, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Integer, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiLanguageModel

AzureOpenAiLanguageModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiLanguageModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiLanguageModel.Builder instances.

AzureOpenAiLanguageModelName - Enum Class in dev.langchain4j.model.azure

AzureOpenAiModelName - Class in dev.langchain4j.model.azure

Deprecated, for removal: This API element is subject to removal in a future version.

use AzureOpenAiChatModelName, AzureOpenAiEmbeddingModelName, AzureOpenAiImageModelName and AzureOpenAiLanguageModelName, instead.

AzureOpenAiModelName() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiModelName

Deprecated.

AzureOpenAiStreamingChatModel - Class in dev.langchain4j.model.azure

Represents an OpenAI language model, hosted on Azure, that has a chat completion interface, such as gpt-3.5-turbo.

AzureOpenAiStreamingChatModel(OpenAIClient, OpenAIAsyncClient, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel

AzureOpenAiStreamingChatModel(String, String, KeyCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel

AzureOpenAiStreamingChatModel(String, String, TokenCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel

AzureOpenAiStreamingChatModel(String, String, String, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, Duration, Integer, ProxyOptions, boolean, boolean, List<ChatModelListener>, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel

AzureOpenAiStreamingChatModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiStreamingChatModel.Builder instances.

AzureOpenAiStreamingLanguageModel - Class in dev.langchain4j.model.azure

Represents an OpenAI language model, hosted on Azure, such as gpt-3.5-turbo-instruct.

AzureOpenAiStreamingLanguageModel(OpenAIClient, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel

AzureOpenAiStreamingLanguageModel(String, String, KeyCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel

AzureOpenAiStreamingLanguageModel(String, String, TokenCredential, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel

AzureOpenAiStreamingLanguageModel(String, String, String, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, Integer, Integer, Boolean, List<String>, Double, Double, Duration, Integer, ProxyOptions, boolean, String, Map<String, String>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel

AzureOpenAiStreamingLanguageModel.Builder - Class in dev.langchain4j.model.azure

AzureOpenAiStreamingLanguageModelBuilderFactory - Interface in dev.langchain4j.model.azure.spi

A factory for building AzureOpenAiStreamingLanguageModel.Builder instances.

AzureOpenAiTokenizer - Class in dev.langchain4j.model.azure

This class can be used to estimate the cost (in tokens) before calling OpenAI or when using streaming.

AzureOpenAiTokenizer() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiTokenizer

Creates an instance of the AzureOpenAiTokenizer for the "gpt-3.5-turbo" model.

AzureOpenAiTokenizer(AzureOpenAiChatModelName) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiTokenizer

Creates an instance of the AzureOpenAiTokenizer for a given AzureOpenAiChatModelName.

AzureOpenAiTokenizer(AzureOpenAiEmbeddingModelName) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiTokenizer

Creates an instance of the AzureOpenAiTokenizer for a given AzureOpenAiEmbeddingModelName.

AzureOpenAiTokenizer(AzureOpenAiLanguageModelName) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiTokenizer

Creates an instance of the AzureOpenAiTokenizer for a given AzureOpenAiLanguageModelName.

AzureOpenAiTokenizer(String) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiTokenizer

Creates an instance of the AzureOpenAiTokenizer for a given model name.

B

BAAI_EMBEDDING_BASE - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName: BAAI general embedding (bge) models transform any given text into a compact vector.
BAAI_EMBEDDING_LARGE - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName: BAAI general embedding (bge) models transform any given text into a compact vector.
BAAI_EMBEDDING_SMALL - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName: BAAI general embedding (bge) models transform any given text into a compact vector.
backoffExp(double) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Sets the backoff exponent.
base64Data() - Method in class dev.langchain4j.data.audio.Audio: Get the base64 data of the audio.
base64Data() - Method in class dev.langchain4j.data.image.Image: Get the base64 data of the image.
base64Data() - Method in class dev.langchain4j.data.pdf.PdfFile: Get the base64 data of the rich format document.
base64Data() - Method in class dev.langchain4j.data.text.TextFile: Get the base64 data of the text file content.
base64Data() - Method in class dev.langchain4j.data.video.Video: Get the base64 data of the video.
base64Data(String) - Method in class dev.langchain4j.data.audio.Audio.Builder: Set the base64 data of the audio.
base64Data(String) - Method in class dev.langchain4j.data.image.Image.Builder: Set the base64 data of the image.
base64Data(String) - Method in class dev.langchain4j.data.pdf.PdfFile.Builder: Set the base64 data of the PDF document.
base64Data(String) - Method in class dev.langchain4j.data.text.TextFile.Builder: Set the base64 data of the text document.
base64Data(String) - Method in class dev.langchain4j.data.video.Video.Builder: Set the base64 data of the video.
baseUrl - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
baseUrl - Variable in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
baseUrl - Variable in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
baseUrl(String) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
baseUrl(String) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
baseUrl(String) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
baseUrl(String) - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
baseUrl(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
baseUrl(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
baseUrl(String) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
BedrockAI21LabsChatModel - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel
BedrockAI21LabsChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock AI21 Labs model ids
BedrockAI21LabsChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock AI21 Labs model invoke response
BedrockAI21LabsChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse
BedrockAI21LabsChatModelResponse.Completion - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModelResponse.CompletionReason - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModelResponse.GeneratedToken - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModelResponse.Prompt - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModelResponse.TextRange - Class in dev.langchain4j.model.bedrock
BedrockAI21LabsChatModelResponse.Token - Class in dev.langchain4j.model.bedrock
BedrockAnthropicCompletionChatModel - Class in dev.langchain4j.model.bedrock
BedrockAnthropicCompletionChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel
BedrockAnthropicCompletionChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Anthropic model ids
BedrockAnthropicCompletionChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Anthropic Text Completions API Invoke response ...
BedrockAnthropicCompletionChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModelResponse
BedrockAnthropicContent - Class in dev.langchain4j.model.bedrock
BedrockAnthropicContent(String, BedrockAnthropicImageSource) - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicContent
BedrockAnthropicContent(String, String) - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicContent
BedrockAnthropicImageSource - Class in dev.langchain4j.model.bedrock
BedrockAnthropicImageSource() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicImageSource
BedrockAnthropicMessage - Class in dev.langchain4j.model.bedrock
BedrockAnthropicMessage() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicMessage
BedrockAnthropicMessageChatModel - Class in dev.langchain4j.model.bedrock
BedrockAnthropicMessageChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
BedrockAnthropicMessageChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Anthropic model ids
BedrockAnthropicMessageChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Anthropic Messages API Invoke response ...
BedrockAnthropicMessageChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModelResponse
BedrockAnthropicMessageChatModelResponse.BedrockAnthropicUsage - Class in dev.langchain4j.model.bedrock
BedrockAnthropicStreamingChatModel - Class in dev.langchain4j.model.bedrock
BedrockAnthropicStreamingChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel
BedrockAnthropicStreamingChatModel.Types - Enum Class in dev.langchain4j.model.bedrock
BedrockAnthropicUsage() - Constructor for class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModelResponse.BedrockAnthropicUsage
BedrockChatModelResponse - Interface in dev.langchain4j.model.bedrock.internal: Bedrock Chat model response
BedrockCohereChatModel - Class in dev.langchain4j.model.bedrock
BedrockCohereChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockCohereChatModel
BedrockCohereChatModel.ReturnLikelihood - Enum Class in dev.langchain4j.model.bedrock
BedrockCohereChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Cohere model ids
BedrockCohereChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Cohere model invoke response
BedrockCohereChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse
BedrockCohereChatModelResponse.Generation - Class in dev.langchain4j.model.bedrock
BedrockCohereChatModelResponse.TokenLikelihood - Class in dev.langchain4j.model.bedrock
BedrockEmbeddingResponse - Interface in dev.langchain4j.model.bedrock.internal: Bedrock embedding response
BedrockLlamaChatModel - Class in dev.langchain4j.model.bedrock
BedrockLlamaChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockLlamaChatModel
BedrockLlamaChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Llama model ids
BedrockLlamaChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Llama Invoke response
BedrockLlamaChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockLlamaChatModelResponse
BedrockMistralAiChatModel - Class in dev.langchain4j.model.bedrock
BedrockMistralAiChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel
BedrockMistralAiChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Mistral model ids
BedrockStabilityAIChatModel - Class in dev.langchain4j.model.bedrock: Bedrock stability AI model This is for image generation.
BedrockStabilityAIChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel
BedrockStabilityAIChatModel.StylePreset - Enum Class in dev.langchain4j.model.bedrock
BedrockStabilityAIChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Amazon Stability AI model ids
BedrockStabilityAIChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Anthropic Invoke response
BedrockStabilityAIChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModelResponse
BedrockStabilityAIChatModelResponse.Artifact - Class in dev.langchain4j.model.bedrock
BedrockTitanChatModel - Class in dev.langchain4j.model.bedrock: Bedrock Amazon Titan chat model
BedrockTitanChatModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockTitanChatModel
BedrockTitanChatModel.Types - Enum Class in dev.langchain4j.model.bedrock: Bedrock Amazon Titan model ids
BedrockTitanChatModelResponse - Class in dev.langchain4j.model.bedrock: Bedrock Titan Chat response
BedrockTitanChatModelResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockTitanChatModelResponse
BedrockTitanChatModelResponse.Result - Class in dev.langchain4j.model.bedrock
BedrockTitanEmbeddingModel - Class in dev.langchain4j.model.bedrock: Bedrock Amazon Titan embedding model with support for both versions: amazon.titan-embed-text-v1 and amazon.titan-embed-text-v2:0
See more details here and here.
BedrockTitanEmbeddingModel() - Constructor for class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel
BedrockTitanEmbeddingModel.Types - Enum Class in dev.langchain4j.model.bedrock
BedrockTitanEmbeddingResponse - Class in dev.langchain4j.model.bedrock: Bedrock Titan embedding response
BedrockTitanEmbeddingResponse() - Constructor for class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingResponse
bestOf(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
beta - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
beta(String) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
between(Embedding, Embedding) - Static method in class dev.langchain4j.store.embedding.CosineSimilarity: Calculates cosine similarity between two vectors.
BlankDocumentException - Exception Class in dev.langchain4j.data.document
BlankDocumentException() - Constructor for exception class dev.langchain4j.data.document.BlankDocumentException
BLOCK_LOW_AND_ABOVE - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold
BLOCK_LOW_AND_ABOVE - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
BLOCK_MEDIUM_AND_ABOVE - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold
BLOCK_MEDIUM_AND_ABOVE - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
BLOCK_NONE - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold
BLOCK_NONE - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
BLOCK_ONLY_HIGH - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold
BLOCK_ONLY_HIGH - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
BOOLEAN - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonBooleanSchema() instead
bucketName(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
bucketTimeout(Integer) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
build() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest.Builder: Returns a ToolExecutionRequest built from the parameters previously set.
build() - Method in class dev.langchain4j.agent.tool.ToolParameters.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonObjectSchema.Builder.build() instead
build() - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder: Returns a ToolSpecification built from the parameters previously set.
build() - Method in class dev.langchain4j.chain.ConversationalChain.ConversationalChainBuilder
build() - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
build() - Method in class dev.langchain4j.data.audio.Audio.Builder: Build the Audio.
build() - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder
build() - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader.Builder
build() - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader.Builder
build() - Method in class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader.Builder
build() - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader.Builder
build() - Method in class dev.langchain4j.data.image.Image.Builder: Build the Image.
build() - Method in class dev.langchain4j.data.pdf.PdfFile.Builder: Build the PdfFile.
build() - Method in class dev.langchain4j.data.text.TextFile.Builder: Build the TextFile.
build() - Method in class dev.langchain4j.data.video.Video.Builder: Build the Video.
build() - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Builds a RetryPolicy.
build() - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory.Builder
build() - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory.Builder
build() - Method in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoice.Builder
build() - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
build() - Method in class dev.langchain4j.model.anthropic.internal.client.DefaultAnthropicClient.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
build() - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
build() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder
build() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder
build() - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema.Builder
build() - Method in class dev.langchain4j.model.chat.request.ResponseFormat.Builder
build() - Method in class dev.langchain4j.model.chat.response.ChatResponse.Builder
build() - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
build() - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
build() - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
build() - Method in class dev.langchain4j.model.huggingface.client.Options.Builder
build() - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
build() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest.Builder
build() - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
build() - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
build() - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient.Builder
build() - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
build() - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
build() - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
build() - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
build() - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
build() - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
build() - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
build() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
build() - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
build() - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
build() - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
build() - Method in class dev.langchain4j.model.openai.OpenAiStreamingResponseBuilder
build() - Method in class dev.langchain4j.model.ovhai.internal.client.DefaultOvhAiClient.Builder
build() - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
build() - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
build() - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
build() - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
build() - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
build() - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder
build() - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
build() - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
build() - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder: Builds a new instance of Worker AI Chat Model.
build() - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder: Builds a new instance of Worker AI Chat Model.
build() - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder: Builds a new instance of Worker AI Chat Model.
build() - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder: Builds a new instance of Worker AI Chat Model.
build() - Method in class dev.langchain4j.rag.AugmentationResult.AugmentationResultBuilder
build() - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder
build() - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector.DefaultContentInjectorBuilder
build() - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder
build() - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
build() - Method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever.WebSearchContentRetrieverBuilder
build() - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
build() - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder
build() - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer.CompressingQueryTransformerBuilder
build() - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer.ExpandingQueryTransformerBuilder
build() - Method in class dev.langchain4j.service.AiServices: Constructs and returns the AI Service.
build() - Method in class dev.langchain4j.service.Result.ResultBuilder
build() - Method in class dev.langchain4j.service.tool.ToolExecution.Builder
build() - Method in class dev.langchain4j.service.tool.ToolProviderResult.Builder
build() - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
build() - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Build a CoherenceEmbeddingStore from the state in this builder.
build() - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationKnn.Builder
build() - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationScript.Builder
build() - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder
build() - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Builds the EmbeddingStoreIngestor.
build() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder
build() - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Builds the store
build() - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.mongodb.IndexMapping.Builder
build() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder
build() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Returns a new EmbeddingTable configured by this builder.
build() - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Builds an embedding store with the configuration applied to this builder.
build() - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig.Builder
build() - Method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig.Builder
build() - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
build() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
build() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
build() - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore.Builder: Build a CoherenceChatMemoryStore from the state in this builder.
build() - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder
build() - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Build the web search request.
build(Query) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
builder() - Static method in class dev.langchain4j.agent.tool.ToolExecutionRequest: Creates builder to build ToolExecutionRequest.
builder() - Static method in class dev.langchain4j.agent.tool.ToolParameters: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonObjectSchema.builder() instead
builder() - Static method in class dev.langchain4j.agent.tool.ToolSpecification: Creates builder to build ToolSpecification.
builder() - Static method in class dev.langchain4j.chain.ConversationalChain
builder() - Static method in class dev.langchain4j.chain.ConversationalRetrievalChain
builder() - Static method in class dev.langchain4j.data.audio.Audio: Create a new Audio.Builder.
builder() - Static method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader
builder() - Static method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader
builder() - Static method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
builder() - Static method in class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader
builder() - Static method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader
builder() - Static method in class dev.langchain4j.data.image.Image: Create a new Image.Builder.
builder() - Static method in class dev.langchain4j.data.pdf.PdfFile: Create a new PdfFile.Builder.
builder() - Static method in class dev.langchain4j.data.text.TextFile: Create a new TextFile.Builder.
builder() - Static method in class dev.langchain4j.data.video.Video: Create a new Video.Builder.
builder() - Static method in class dev.langchain4j.memory.chat.MessageWindowChatMemory
builder() - Static method in class dev.langchain4j.memory.chat.TokenWindowChatMemory
builder() - Static method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient
builder() - Static method in class dev.langchain4j.model.anthropic.internal.client.DefaultAnthropicClient
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiChatModel
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiImageModel
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel
builder() - Static method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel
builder() - Static method in class dev.langchain4j.model.chat.listener.ChatModelRequest
builder() - Static method in class dev.langchain4j.model.chat.listener.ChatModelResponse
builder() - Static method in class dev.langchain4j.model.chat.request.ChatRequest
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonArraySchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonSchema
builder() - Static method in class dev.langchain4j.model.chat.request.json.JsonStringSchema
builder() - Static method in class dev.langchain4j.model.chat.request.ResponseFormat
builder() - Static method in class dev.langchain4j.model.chat.response.ChatResponse
builder() - Static method in class dev.langchain4j.model.github.GitHubModelsChatModel
builder() - Static method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel
builder() - Static method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel
builder() - Static method in class dev.langchain4j.model.huggingface.client.Options
builder() - Static method in class dev.langchain4j.model.huggingface.client.Parameters
builder() - Static method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
builder() - Static method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel
builder() - Static method in class dev.langchain4j.model.huggingface.HuggingFaceEmbeddingModel
builder() - Static method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel
builder() - Static method in class dev.langchain4j.model.jlama.JlamaChatModel
builder() - Static method in class dev.langchain4j.model.jlama.JlamaEmbeddingModel
builder() - Static method in class dev.langchain4j.model.jlama.JlamaLanguageModel
builder() - Static method in class dev.langchain4j.model.jlama.JlamaStreamingChatModel
builder() - Static method in class dev.langchain4j.model.jlama.JlamaStreamingLanguageModel
builder() - Static method in class dev.langchain4j.model.localai.LocalAiChatModel
builder() - Static method in class dev.langchain4j.model.localai.LocalAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.localai.LocalAiLanguageModel
builder() - Static method in class dev.langchain4j.model.localai.LocalAiStreamingChatModel
builder() - Static method in class dev.langchain4j.model.localai.LocalAiStreamingLanguageModel
builder() - Static method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
builder() - Static method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
builder() - Static method in class dev.langchain4j.model.mistralai.MistralAiChatModel
builder() - Static method in class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.mistralai.MistralAiModels
builder() - Static method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaChatModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaLanguageModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaModelCard
builder() - Static method in class dev.langchain4j.model.ollama.OllamaModelDetails
builder() - Static method in class dev.langchain4j.model.ollama.OllamaModels
builder() - Static method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel
builder() - Static method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiChatModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiImageModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiLanguageModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiModerationModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
builder() - Static method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel
builder() - Static method in class dev.langchain4j.model.ovhai.internal.client.DefaultOvhAiClient
builder() - Static method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiChatModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiImageModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel
builder() - Static method in class dev.langchain4j.model.vertexai.VertexAiScoringModel
builder() - Static method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel
builder() - Static method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel
builder() - Static method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Builder access.
builder() - Static method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Builder access.
builder() - Static method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Builder access.
builder() - Static method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel: Builder access.
builder() - Static method in class dev.langchain4j.rag.AugmentationResult
builder() - Static method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
builder() - Static method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
builder() - Static method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever
builder() - Static method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
builder() - Static method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever
builder() - Static method in class dev.langchain4j.rag.DefaultRetrievalAugmentor
builder() - Static method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
builder() - Static method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
builder() - Static method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
builder() - Static method in class dev.langchain4j.service.Result
builder() - Static method in class dev.langchain4j.service.tool.ToolExecution
builder() - Static method in class dev.langchain4j.service.tool.ToolProviderResult
builder() - Static method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: Return a CoherenceEmbeddingStore.Builder to use to build a CoherenceEmbeddingStore.
builder() - Static method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationKnn
builder() - Static method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationScript
builder() - Static method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
builder() - Static method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Creates a new EmbeddingStoreIngestor builder.
builder() - Static method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition
builder() - Static method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.mongodb.IndexMapping
builder() - Static method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
builder() - Static method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable: Returns a builder that configures a new EmbeddingTable.
builder() - Static method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore: Returns a builder which configures and creates instances of OracleEmbeddingStore.
builder() - Static method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig
builder() - Static method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig
builder() - Static method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
builder() - Static method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore
builder() - Static method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore
builder() - Static method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: Return a CoherenceChatMemoryStore.Builder to use to build a CoherenceChatMemoryStore.
builder() - Static method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore
builder() - Static method in class dev.langchain4j.web.search.WebSearchRequest: Create a new builder instance.
builder(Class<T>) - Static method in class dev.langchain4j.service.AiServices: Begins the construction of an AI Service.
Builder() - Constructor for class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
Builder() - Constructor for class dev.langchain4j.data.audio.Audio.Builder: Create a new Audio.Builder.
Builder() - Constructor for class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder
Builder() - Constructor for class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader.Builder
Builder() - Constructor for class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader.Builder
Builder() - Constructor for class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader.Builder
Builder() - Constructor for class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader.Builder
Builder() - Constructor for class dev.langchain4j.data.image.Image.Builder: Create a new Image.Builder.
Builder() - Constructor for class dev.langchain4j.data.pdf.PdfFile.Builder: Create a new PdfFile.Builder.
Builder() - Constructor for class dev.langchain4j.data.text.TextFile.Builder: Create a new TextFile.Builder.
Builder() - Constructor for class dev.langchain4j.data.video.Video.Builder: Create a new Video.Builder.
Builder() - Constructor for class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Construct a RetryPolicy.Builder.
Builder() - Constructor for class dev.langchain4j.memory.chat.MessageWindowChatMemory.Builder
Builder() - Constructor for class dev.langchain4j.memory.chat.TokenWindowChatMemory.Builder
Builder() - Constructor for class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
Builder() - Constructor for class dev.langchain4j.model.anthropic.internal.client.DefaultAnthropicClient.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.ChatRequest.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonArraySchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonBooleanSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonEnumSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonIntegerSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonNumberSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonReferenceSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.json.JsonStringSchema.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.request.ResponseFormat.Builder
Builder() - Constructor for class dev.langchain4j.model.chat.response.ChatResponse.Builder
Builder() - Constructor for class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
Builder() - Constructor for class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.huggingface.client.Options.Builder
Builder() - Constructor for class dev.langchain4j.model.huggingface.client.Parameters.Builder
Builder() - Constructor for class dev.langchain4j.model.huggingface.client.TextGenerationRequest.Builder
Builder() - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient.Builder
Builder() - Constructor for class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
Builder() - Constructor for class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
Builder() - Constructor for class dev.langchain4j.model.ollama.OllamaModel.Builder
Builder() - Constructor for class dev.langchain4j.model.ollama.OllamaModelCard.Builder
Builder() - Constructor for class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
Builder() - Constructor for class dev.langchain4j.model.ovhai.internal.client.DefaultOvhAiClient.Builder
Builder() - Constructor for class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
Builder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
Builder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
Builder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
Builder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder
Builder() - Constructor for class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
Builder() - Constructor for class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
Builder() - Constructor for class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder: Simple constructor.
Builder() - Constructor for class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder: Simple constructor.
Builder() - Constructor for class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder: Simple constructor.
Builder() - Constructor for class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder: Simple constructor.
Builder() - Constructor for class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder
Builder() - Constructor for class dev.langchain4j.service.tool.ToolProviderResult.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Create a CoherenceEmbeddingStore.Builder.
Builder() - Constructor for class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationKnn.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationScript.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Creates a new EmbeddingStoreIngestor builder.
Builder() - Constructor for class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.mongodb.IndexMapping.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
Builder() - Constructor for class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
Builder() - Constructor for class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore.Builder: Create a CoherenceChatMemoryStore.Builder.
Builder() - Constructor for class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder
builderAstra() - Static method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore
builderAstra() - Static method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore
BuilderAstra() - Constructor for class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
BuilderAstra() - Constructor for class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
buildSchema(InfinispanStoreConfiguration) - Static method in class dev.langchain4j.store.embedding.infinispan.LangchainSchemaCreator: Build the Infinispan Schema to marshall embeddings

C

cacheConfig() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the cacheConfig record component.
cacheConfig(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan cache config to be used, will be created on first access
cacheControl - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicMessageContent
cacheControl - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicTool
cacheControl() - Method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheType
cacheCreationInputTokens - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicUsage
cacheCreationInputTokens() - Method in class dev.langchain4j.model.anthropic.AnthropicTokenUsage: Returns The total cached token created count, or null if unknown.
cacheName() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the cacheName record component.
cacheName(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan cache name to be used, will be created on first access
cacheReadInputTokens - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicUsage
cacheReadInputTokens() - Method in class dev.langchain4j.model.anthropic.AnthropicTokenUsage: Returns The total cached token read count, or null if unknown.
calculateTokensCounts(List<TextSegment>) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel: Calculates the number of tokens for each segment in the input list.
canAdaptTokenStreamTo(Type) - Method in interface dev.langchain4j.spi.services.TokenStreamAdapter
Capability - Enum Class in dev.langchain4j.model.chat
CassandraChatMemoryStore - Class in dev.langchain4j.store.memory.chat.cassandra: Implementation of ChatMemoryStore using Astra DB Vector Search.
CassandraChatMemoryStore(CqlSession) - Constructor for class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Constructor for message store
CassandraChatMemoryStore(CqlSession, String) - Constructor for class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Constructor for message store
CassandraChatMemoryStore.Builder - Class in dev.langchain4j.store.memory.chat.cassandra
CassandraChatMemoryStore.BuilderAstra - Class in dev.langchain4j.store.memory.chat.cassandra
CassandraEmbeddingStore - Class in dev.langchain4j.store.embedding.cassandra: Implementation of EmbeddingStore using Cassandra.
CassandraEmbeddingStore(CqlSession, String, int) - Constructor for class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Embedding Store.
CassandraEmbeddingStore(CqlSession, String, int, CassandraSimilarityMetric) - Constructor for class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Embedding Store.
CassandraEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.cassandra
CassandraEmbeddingStore.BuilderAstra - Class in dev.langchain4j.store.embedding.cassandra
cassandraSession - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Cassandra question.
Chain<Input,Output> - Interface in dev.langchain4j.chain: Represents a chain step that takes an input and produces an output.
chat(ChatRequest) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel
chat(ChatRequest) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
chat(ChatRequest) - Method in class dev.langchain4j.model.openai.OpenAiChatModel
chat(TextGenerationRequest) - Method in interface dev.langchain4j.model.huggingface.client.HuggingFaceClient
chatCompletion(MistralAiChatCompletionRequest) - Method in interface dev.langchain4j.model.mistralai.internal.api.MistralAiApi
chatCompletion(MistralAiChatCompletionRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
chatCompletion(MistralAiChatCompletionRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
chatCompletionsAsyncClient(ChatCompletionsAsyncClient) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
chatCompletionsClient(ChatCompletionsClient) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder: Sets the Azure AI Inference API client.
chatLanguageModel - Variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
chatLanguageModel - Variable in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
chatLanguageModel - Variable in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
chatLanguageModel - Variable in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.chain.ConversationalChain.ConversationalChainBuilder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer.CompressingQueryTransformerBuilder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer.ExpandingQueryTransformerBuilder
chatLanguageModel(ChatLanguageModel) - Method in class dev.langchain4j.service.AiServices: Configures chat model that will be used under the hood of the AI Service.
ChatLanguageModel - Interface in dev.langchain4j.model.chat: Represents a language model that has a chat interface.
chatMemories - Variable in class dev.langchain4j.service.AiServiceContext
chatMemory - Variable in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: The NamedMap used to store the chat messages.
chatMemory() - Method in class dev.langchain4j.rag.query.Metadata
chatMemory(ChatMemory) - Method in class dev.langchain4j.chain.ConversationalChain.ConversationalChainBuilder
chatMemory(ChatMemory) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
chatMemory(ChatMemory) - Method in class dev.langchain4j.service.AiServices: Configures the chat memory that will be used to preserve conversation history between method calls.
chatMemory(Object) - Method in class dev.langchain4j.service.AiServiceContext
ChatMemory - Interface in dev.langchain4j.memory: Represents the memory (history) of a chat conversation.
chatMemoryId() - Method in class dev.langchain4j.rag.query.Metadata
chatMemoryId() - Method in class dev.langchain4j.service.tool.ToolProviderRequest
chatMemoryProvider - Variable in class dev.langchain4j.service.AiServiceContext
chatMemoryProvider(ChatMemoryProvider) - Method in class dev.langchain4j.service.AiServices: Configures the chat memory provider, which provides a dedicated instance of ChatMemory for each user/conversation.
ChatMemoryProvider - Interface in dev.langchain4j.memory.chat: Provides instances of ChatMemory.
chatMemoryStore(ChatMemoryStore) - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory.Builder
chatMemoryStore(ChatMemoryStore) - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory.Builder
ChatMemoryStore - Interface in dev.langchain4j.store.memory.chat: Represents a store for the ChatMemory state.
chatMessage() - Method in class dev.langchain4j.rag.AugmentationRequest
chatMessage() - Method in class dev.langchain4j.rag.AugmentationResult
chatMessage(ChatMessage) - Method in class dev.langchain4j.rag.AugmentationResult.AugmentationResultBuilder
ChatMessage - Interface in dev.langchain4j.data.message: Represents a chat message.
ChatMessageDeserializer - Class in dev.langchain4j.data.message: A deserializer for ChatMessage objects.
ChatMessageJsonCodec - Interface in dev.langchain4j.data.message: A codec for serializing and deserializing ChatMessage objects to and from JSON.
ChatMessageJsonCodecFactory - Interface in dev.langchain4j.spi.data.message: A factory for creating ChatMessageJsonCodec objects.
ChatMessageSerializer - Class in dev.langchain4j.data.message
ChatMessageSerializer() - Constructor for class dev.langchain4j.data.message.ChatMessageSerializer
chatMessageToString(ChatMessage) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel: Convert chat message to string
ChatMessageType - Enum Class in dev.langchain4j.data.message: The type of content, e.g.
chatModel - Variable in class dev.langchain4j.service.AiServiceContext
ChatModelErrorContext - Class in dev.langchain4j.model.chat.listener: The error context.
ChatModelErrorContext(Throwable, ChatModelRequest, ChatModelResponse, Map<Object, Object>) - Constructor for class dev.langchain4j.model.chat.listener.ChatModelErrorContext
ChatModelListener - Interface in dev.langchain4j.model.chat.listener: A ChatLanguageModel listener that listens for requests, responses and errors.
ChatModelRequest - Class in dev.langchain4j.model.chat.listener: A request to the ChatLanguageModel or StreamingChatLanguageModel, intended to be used with ChatModelListener.
ChatModelRequest(String, Double, Double, Integer, List<ChatMessage>, List<ToolSpecification>) - Constructor for class dev.langchain4j.model.chat.listener.ChatModelRequest
ChatModelRequest.ChatModelRequestBuilder - Class in dev.langchain4j.model.chat.listener
ChatModelRequestContext - Class in dev.langchain4j.model.chat.listener: The request context.
ChatModelRequestContext(ChatModelRequest, Map<Object, Object>) - Constructor for class dev.langchain4j.model.chat.listener.ChatModelRequestContext
ChatModelResponse - Class in dev.langchain4j.model.chat.listener: A response from the ChatLanguageModel or StreamingChatLanguageModel, intended to be used with ChatModelListener.
ChatModelResponse(String, String, TokenUsage, FinishReason, AiMessage) - Constructor for class dev.langchain4j.model.chat.listener.ChatModelResponse
ChatModelResponse.ChatModelResponseBuilder - Class in dev.langchain4j.model.chat.listener
ChatModelResponseContext - Class in dev.langchain4j.model.chat.listener: The response context.
ChatModelResponseContext(ChatModelResponse, ChatModelRequest, Map<Object, Object>) - Constructor for class dev.langchain4j.model.chat.listener.ChatModelResponseContext
ChatRequest - Class in dev.langchain4j.model.chat.request
ChatRequest.Builder - Class in dev.langchain4j.model.chat.request
ChatResponse - Class in dev.langchain4j.model.chat.response
ChatResponse.Builder - Class in dev.langchain4j.model.chat.response
ChromaEmbeddingStore - Class in dev.langchain4j.store.embedding.chroma: Represents a store for embeddings using the Chroma backend.
ChromaEmbeddingStore(String, String, Duration, boolean, boolean) - Constructor for class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore: Initializes a new instance of ChromaEmbeddingStore with the specified parameters.
ChromaEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.chroma
Cinematic - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
CLASSIFICATION - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
CLASSIFICATION - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
ClassificationResult<L> - Record Class in dev.langchain4j.classification: Represent the result of classification.
ClassificationResult(List<ScoredLabel<L>>) - Constructor for record class dev.langchain4j.classification.ClassificationResult: Creates an instance of a ClassificationResult record class.
classify(Document) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given Document.
classify(TextSegment) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given TextSegment.
classify(String) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given text.
classifyWithScores(Document) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given Document and returns labels with scores.
classifyWithScores(TextSegment) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given TextSegment and returns labels with scores.
classifyWithScores(String) - Method in class dev.langchain4j.classification.EmbeddingModelTextClassifier
classifyWithScores(String) - Method in interface dev.langchain4j.classification.TextClassifier: Classifies the given text and returns labels with scores.
CLAUDE_2 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_2_1 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_5_HAIKU_20241022 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_5_SONNET_20240620 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_5_SONNET_20241022 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_HAIKU_20240307 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_OPUS_20240229 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
CLAUDE_3_SONNET_20240229 - Enum constant in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName
clean(String) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
clean(String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
clear() - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory
clear() - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory
clear() - Method in interface dev.langchain4j.memory.ChatMemory: Clears the chat memory.
clear() - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore: Delete all records from the table.
clear() - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Delete all rows.
clear() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Delete all rows.
clear() - Method in class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore: Clear all message.
clearCache() - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore
clearStore() - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore: Deletes all points from the Qdrant collection.
client(QdrantClient) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
close() - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
close() - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
close() - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore: Closes the underlying GRPC client.
close() - Method in class dev.langchain4j.store.graph.neo4j.Neo4jGraph
cloud(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig.Builder
CLUSTERING - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
CLUSTERING - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
clusterUrl(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
CODE_RETRIEVAL_QUERY - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
CodeExecutionEngine - Interface in dev.langchain4j.code: Interface for executing code.
CODELLAMA_7B_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Instruct fine-tuned version of the Mistral-7b generative text model with 7 billion parameters.
COHERE_COMMAND_R - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
COHERE_COMMAND_R_PLUS - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
COHERE_EMBED_V3_ENGLISH - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName
COHERE_EMBED_V3_MULTILINGUAL - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName
CohereEmbeddingModel - Class in dev.langchain4j.model.cohere: An implementation of an EmbeddingModel that uses Cohere Embed API.
CohereEmbeddingModel(String, String, String, String, Duration, Boolean, Boolean, Integer) - Constructor for class dev.langchain4j.model.cohere.CohereEmbeddingModel
CoherenceChatMemoryStore - Class in dev.langchain4j.store.memory.chat.coherence: A ChatMemoryStore backed by an Oracle Coherence named map.
CoherenceChatMemoryStore(NamedMap<Object, String>) - Constructor for class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: Create a CoherenceChatMemoryStore.
CoherenceChatMemoryStore.Builder - Class in dev.langchain4j.store.memory.chat.coherence: A builder to create CoherenceChatMemoryStore instances.
CoherenceEmbeddingStore - Class in dev.langchain4j.store.embedding.coherence: An EmbeddingStore backed by an Oracle Coherence NamedMap.
CoherenceEmbeddingStore(NamedMap<DocumentChunk.Id, DocumentChunk>, boolean) - Constructor for class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: Create an CoherenceEmbeddingStore.
CoherenceEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.coherence: A builder to create CoherenceEmbeddingStore instances.
CohereScoringModel - Class in dev.langchain4j.model.cohere: An implementation of a ScoringModel that uses Cohere Rerank API.
CohereScoringModel(String, String, String, Duration, Integer, Proxy, Boolean, Boolean) - Constructor for class dev.langchain4j.model.cohere.CohereScoringModel
collectionName(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
collectionName(String) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
collectionName(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
collectionName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
collectionName(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
collectionName(String) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
COLUMN_PER_KEY - Enum constant in enum class dev.langchain4j.store.embedding.pgvector.MetadataStorageMode: COLUMN_PER_KEY: for static metadata, when you know in advance the list of metadata
ColumnDefinition - Class in dev.langchain4j.store.embedding.filter.builder.sql
ColumnDefinition(String, String) - Constructor for class dev.langchain4j.store.embedding.filter.builder.sql.ColumnDefinition
ColumnDefinition(String, String, String) - Constructor for class dev.langchain4j.store.embedding.filter.builder.sql.ColumnDefinition
columnDefinitions() - Method in interface dev.langchain4j.store.embedding.pgvector.MetadataStorageConfig: SQL definition of metadata field(s) list.
columns() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition
columns(Collection<ColumnDefinition>) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder
COMBINED_JSON - Enum constant in enum class dev.langchain4j.store.embedding.pgvector.MetadataStorageMode: COMBINED_JSON: For dynamic metadata, when you don't know the list of metadata that will be used.
COMBINED_JSONB - Enum constant in enum class dev.langchain4j.store.embedding.pgvector.MetadataStorageMode: COMBINED_JSONB: Same as JSON, but stored in a binary way.
ComicBook - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
CommandTextV14 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.Types
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo
comparisonValue() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo
comparisonValue() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch
comparisonValue() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase
comparisonValues() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn
comparisonValues() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn
Completion() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.Completion
CompletionReason() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.CompletionReason
CompressingQueryTransformer - Class in dev.langchain4j.rag.query.transformer: A QueryTransformer that leverages a ChatLanguageModel to condense a given Query along with a chat memory (previous conversation history) into a concise Query.
CompressingQueryTransformer(ChatLanguageModel) - Constructor for class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
CompressingQueryTransformer(ChatLanguageModel, PromptTemplate) - Constructor for class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
CompressingQueryTransformer.CompressingQueryTransformerBuilder - Class in dev.langchain4j.rag.query.transformer
compressionQuality(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
computeMimeType(ResponseFormat) - Static method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
computeMimeType(ResponseFormat) - Static method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
configuration(ElasticsearchConfiguration) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder
connectionString(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder: Sets the Azure CosmosDB Mongo vCore connectionString.
consistencyLevel(ConsistencyLevelEnum) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
contactPoints(List<String>) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
contactPoints(List<String>) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
containsKey(String) - Method in class dev.langchain4j.data.document.Metadata: Check whether this Metadata contains a given key.
content - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
content - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicMessage
content - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
content - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolResultContent
content() - Method in class dev.langchain4j.model.output.Response: Get the content.
content() - Method in class dev.langchain4j.service.Result
content() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult: Returns the content scraped from the web page.
content(T) - Method in class dev.langchain4j.service.Result.ResultBuilder
Content - Class in dev.langchain4j.rag.content: Represents content relevant to a user Query with the potential to enhance and ground the LLM's response.
Content - Interface in dev.langchain4j.data.message: Abstract base interface for message content.
Content(TextSegment) - Constructor for class dev.langchain4j.rag.content.Content
Content(String) - Constructor for class dev.langchain4j.rag.content.Content
CONTENT_FILTER - Enum constant in enum class dev.langchain4j.model.output.FinishReason: The call finished signalling a need for content filtering.
contentAggregator(ContentAggregator) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
ContentAggregator - Interface in dev.langchain4j.rag.content.aggregator: Aggregates all Contents retrieved from all ContentRetrievers using all Querys.
contentBlock - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData
contentInjector(ContentInjector) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
ContentInjector - Interface in dev.langchain4j.rag.content.injector: Injects given Contents into a given UserMessage.
contentRetriever(ContentRetriever) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
contentRetriever(ContentRetriever) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
contentRetriever(ContentRetriever) - Method in class dev.langchain4j.service.AiServices: Configures a content retriever to be invoked on every method call for retrieving relevant content related to the user's message from an underlying data source (e.g., an embedding store in the case of an EmbeddingStoreContentRetriever).
ContentRetriever - Interface in dev.langchain4j.rag.content.retriever: Retrieves Contents from an underlying data source using a given Query.
contents() - Method in class dev.langchain4j.data.message.UserMessage: The contents of the message.
contents() - Method in class dev.langchain4j.rag.AugmentationResult
contents(List<Content>) - Method in class dev.langchain4j.rag.AugmentationResult.AugmentationResultBuilder
ContentType - Enum Class in dev.langchain4j.data.message: The type of content, e.g.
context - Variable in class dev.langchain4j.service.AiServices
contextLink() - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult
ConversationalChain - Class in dev.langchain4j.chain: A chain for conversing with a specified ChatLanguageModel while maintaining a memory of the conversation.
ConversationalChain.ConversationalChainBuilder - Class in dev.langchain4j.chain
ConversationalRetrievalChain - Class in dev.langchain4j.chain: A chain for conversing with a specified ChatLanguageModel based on the information retrieved by a specified ContentRetriever.
ConversationalRetrievalChain(ChatLanguageModel, ChatMemory, PromptTemplate, Retriever<TextSegment>) - Constructor for class dev.langchain4j.chain.ConversationalRetrievalChain: Deprecated, for removal: This API element is subject to removal in a future version.
Please use another constructor with a new ContentRetriever instead.
ConversationalRetrievalChain(ChatLanguageModel, ChatMemory, ContentRetriever) - Constructor for class dev.langchain4j.chain.ConversationalRetrievalChain
ConversationalRetrievalChain(ChatLanguageModel, ChatMemory, RetrievalAugmentor) - Constructor for class dev.langchain4j.chain.ConversationalRetrievalChain
ConversationalRetrievalChain.Builder - Class in dev.langchain4j.chain
convertAsImage(byte[]) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Convert Workers AI Image Generation output to Langchain4j model.
convertMessagesToAwsBody(List<ChatMessage>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
copy() - Method in class dev.langchain4j.data.document.Metadata: Copies the metadata.
copyIfNotNull(List<T>) - Static method in class dev.langchain4j.internal.Utils: Returns an (unmodifiable) copy of the provided list.
copyIfNotNull(Map<K, V>) - Static method in class dev.langchain4j.internal.Utils: Returns an (unmodifiable) copy of the provided map.
COS - Enum constant in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric
CosineSimilarity - Class in dev.langchain4j.store.embedding: Utility class for calculating cosine similarity between two vectors.
CouchbaseEmbeddingStore - Class in dev.langchain4j.store.embedding.couchbase: Represents a Couchbase index as an embedding store.
CouchbaseEmbeddingStore(String, String, String, String, String, String, String, Integer) - Constructor for class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore: Creates an instance of CouchbaseEmbeddingStore
CouchbaseEmbeddingStore(String, String, String, String, String, String, String, Integer, Integer) - Constructor for class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore: Creates an instance of CouchbaseEmbeddingStore
CouchbaseEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.couchbase
create() - Method in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParserFactory
create() - Method in class dev.langchain4j.data.document.splitter.recursive.RecursiveDocumentSplitterFactory
create() - Method in interface dev.langchain4j.spi.data.document.parser.DocumentParserFactory
create() - Method in interface dev.langchain4j.spi.data.document.splitter.DocumentSplitterFactory
create() - Method in interface dev.langchain4j.spi.data.message.ChatMessageJsonCodecFactory: Creates a new ChatMessageJsonCodec object.
create() - Method in interface dev.langchain4j.spi.json.JsonCodecFactory: Create a new Json.JsonCodec.
create() - Method in interface dev.langchain4j.spi.model.embedding.EmbeddingModelFactory
create() - Method in interface dev.langchain4j.spi.store.embedding.inmemory.InMemoryEmbeddingStoreJsonCodecFactory
create() - Static method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: Create a default CoherenceEmbeddingStore.
create() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Create the table if not exist.
create() - Static method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: Create a default CoherenceChatMemoryStore.
create(NamedMap<DocumentChunk.Id, DocumentChunk>) - Static method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: Create a CoherenceEmbeddingStore that uses the specified Coherence NamedMap name.
create(NamedMap<Object, String>) - Static method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: Create a CoherenceChatMemoryStore that uses the specified Coherence NamedMap name.
create(HuggingFaceClientFactory.Input) - Method in interface dev.langchain4j.model.huggingface.spi.HuggingFaceClientFactory
create(AiServiceContext) - Method in interface dev.langchain4j.spi.services.AiServicesFactory
create(PromptTemplateFactory.Input) - Method in interface dev.langchain4j.spi.prompt.PromptTemplateFactory: Create a new prompt template.
create(Class<T>, ChatLanguageModel) - Static method in class dev.langchain4j.service.AiServices: Creates an AI Service (an implementation of the provided interface), that is backed by the provided chat model.
create(Class<T>, StreamingChatLanguageModel) - Static method in class dev.langchain4j.service.AiServices: Creates an AI Service (an implementation of the provided interface), that is backed by the provided streaming chat model.
create(String) - Static method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: Create a CoherenceEmbeddingStore that uses the specified Coherence NamedMap name.
create(String) - Static method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: Create a CoherenceChatMemoryStore that uses the specified Coherence NamedMap name.
CREATE_IF_NOT_EXISTS - Enum constant in enum class dev.langchain4j.store.embedding.oracle.CreateOption: An existing schema object is reused, otherwise it is created.
CREATE_NONE - Enum constant in enum class dev.langchain4j.store.embedding.oracle.CreateOption: No attempt is made to create the schema object.
CREATE_OR_REPLACE - Enum constant in enum class dev.langchain4j.store.embedding.oracle.CreateOption: An existing schema object is dropped and replaced with a new one.
createCache() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the createCache record component.
createCache(boolean) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Create cache in the server
createChatModelRequest(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
createChatModelRequest(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
createCollectionOptions(CreateCollectionOptions) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
createCollectionOptions(CreateCollectionOptions) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
createGenerateContentRequest(List<ChatMessage>, List<ToolSpecification>, ResponseFormat) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
createGenerateContentRequest(List<ChatMessage>, List<ToolSpecification>, ResponseFormat) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
createIndex(PineconeIndexConfig) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
createIndex(Pinecone, String) - Method in interface dev.langchain4j.store.embedding.pinecone.PineconeIndexConfig
createIndex(Pinecone, String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig
createIndex(Pinecone, String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig
createIndex(Boolean) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder: Set to true if you want the application to create an index, or false if you want to create it manually.
createIndex(Boolean) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder: Set whether in production mode, production mode will not create index automatically
createMessage(AnthropicCreateMessageRequest) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient
createMessage(AnthropicCreateMessageRequest) - Method in class dev.langchain4j.model.anthropic.internal.client.DefaultAnthropicClient
createMessage(AnthropicCreateMessageRequest, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient
createMessage(AnthropicCreateMessageRequest, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.anthropic.internal.client.DefaultAnthropicClient
createMessage(String, String, String, AnthropicCreateMessageRequest) - Method in interface dev.langchain4j.model.anthropic.internal.api.AnthropicApi
createModelListenerRequest(InvokeModelRequest, List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
createModelListenerRequest(InvokeModelWithResponseStreamRequest, List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
createModelListenerResponse(String, String, Response<AiMessage>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
createOption(CreateOption) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Configures the option to create (or not create) a table.
CreateOption - Enum Class in dev.langchain4j.store.embedding.oracle: Options which configure the creation of database schema objects, such as tables and indexes.
createOrUpdateIndex(boolean) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Whether to create or update the search index.
createOrUpdateIndex(boolean) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: Whether to create or update the search index.
createOrUpdateIndex(int) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore: Creates or updates the index using a ready-made index.
createPrompt(ChatMessage, List<Content>) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
createPrompt(UserMessage, List<Content>) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector: Deprecated.
implement/override DefaultContentInjector.createPrompt(ChatMessage, List) instead.
createPrompt(Query) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
createPrompt(Query) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
createPrompt(Query) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
createPrompt(Query, String) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
createService(String) - Static method in class dev.langchain4j.model.workersai.client.WorkersAiClient: Initialization of okHTTP.
createSystemPrompt() - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
createTableStatement - Variable in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
credentials(Credentials) - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader.Builder
credentialsProvider - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
customHeaders(Map<String, String>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
CustomMimeTypesFileTypeDetector - Class in dev.langchain4j.internal: Utility class to guess the mime-type of a file from its path or URI.
CustomMimeTypesFileTypeDetector() - Constructor for class dev.langchain4j.internal.CustomMimeTypesFileTypeDetector: Create a file mime-type detector, using the internal default mappings, and fallback to JDK's built-in capabilities, when no suitable mapping is found.
CustomMimeTypesFileTypeDetector(Map<String, String>) - Constructor for class dev.langchain4j.internal.CustomMimeTypesFileTypeDetector: Create a file mime-type detector, using your own custom file extension to mime-type mappings, with a fallback to JDK's built-in capabilities, when no suitable mapping is found
CYBERPUNK - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle

D

DALL_E_2 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiImageModelName
DALL_E_2 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
DALL_E_3 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName
DALL_E_3 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiImageModelName
DALL_E_3 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
DALL_E_3 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
DALL_E_3_30 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName
data - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContentSource
data - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbeddingResponse
databaseId(UUID) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
databaseId(UUID) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
databaseName(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
databaseName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
databaseName(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
databaseRegion(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
databaseRegion(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
datasource - Variable in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore: Datasource used to create the store
dataSource(DataSource) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures a data source that connects to an Oracle Database.
dataSources(List<AzureChatExtensionConfiguration>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
dataSources(List<AzureChatExtensionConfiguration>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
decode(List<Integer>) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
decode(List<Integer>) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
DEEPSEEK_CODER_6_7_BASE - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese..
DEEPSEEK_CODER_MATH_7B_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese..
DEEPSEEK_CODER_MATH_7B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: DeepSeekMath is initialized with DeepSeek-Coder-v1.5 7B and continues pre-training on math-related tokens sourced from Common Crawl, together with natural language and code data for 500B tokens.
DEFAULT - Static variable in class dev.langchain4j.service.AiServices
DEFAULT_ANTHROPIC_VERSION - Static variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
DEFAULT_CACHE_CONFIG - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Default Cache Config
DEFAULT_CONTENT_HANDLER_SUPPLIER - Static variable in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser
DEFAULT_DISPLAY_NAME - Static variable in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
DEFAULT_DISTANCE - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: The default distance to for the search
DEFAULT_FIELD_CONTENT - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_FIELD_CONTENT_VECTOR - Variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_FIELD_METADATA - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_FIELD_METADATA_ATTRS - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_FIELD_METADATA_SOURCE - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_FILTER - Static variable in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
DEFAULT_INDEX_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
DEFAULT_ITEM_PACKAGE - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Default package of the schema
DEFAULT_LANGCHAIN_ITEM - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Default name of the protobuf langchain item.
DEFAULT_MAP_NAME - Static variable in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: The default NamedMap name.
DEFAULT_MAP_NAME - Static variable in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore: The default NamedMap name.
DEFAULT_MAX_RESULTS - Static variable in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
DEFAULT_METADATA_ITEM - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Default name of the protobuf metadata item.
DEFAULT_METADATA_SUPPLIER - Static variable in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser
DEFAULT_MIN_SCORE - Static variable in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
DEFAULT_N - Static variable in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
DEFAULT_PARSE_CONTEXT_SUPPLIER - Static variable in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser
DEFAULT_PARSER_SUPPLIER - Static variable in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser
DEFAULT_PORT - Static variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
DEFAULT_PORT - Static variable in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
DEFAULT_PROMPT_TEMPLATE - Static variable in class dev.langchain4j.rag.content.injector.DefaultContentInjector
DEFAULT_PROMPT_TEMPLATE - Static variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
DEFAULT_PROMPT_TEMPLATE - Static variable in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
DEFAULT_PROMPT_TEMPLATE - Static variable in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
DEFAULT_QUERY_SELECTOR - Static variable in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
DEFAULT_RETRY_POLICY - Static variable in class dev.langchain4j.internal.RetryUtils: Default retry policy used by RetryUtils.withRetry(Callable).
DEFAULT_SIMILARITY - Static variable in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Default vector similarity
DEFAULT_TABLE_NAME - Static variable in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Default message store.
DefaultAnthropicClient - Class in dev.langchain4j.model.anthropic.internal.client
DefaultAnthropicClient.Builder - Class in dev.langchain4j.model.anthropic.internal.client
DefaultAzureAiSearchFilterMapper - Class in dev.langchain4j.rag.content.retriever.azure.search: Maps Filter objects to Azure AI Search filter strings.
DefaultAzureAiSearchFilterMapper() - Constructor for class dev.langchain4j.rag.content.retriever.azure.search.DefaultAzureAiSearchFilterMapper
defaultConfig() - Static method in class dev.langchain4j.store.embedding.pgvector.DefaultMetadataStorageConfig: Default configuration
DefaultContentAggregator - Class in dev.langchain4j.rag.content.aggregator: Default implementation of ContentAggregator intended to be suitable for the majority of use cases.
DefaultContentAggregator() - Constructor for class dev.langchain4j.rag.content.aggregator.DefaultContentAggregator
DefaultContentInjector - Class in dev.langchain4j.rag.content.injector: Default implementation of ContentInjector intended to be suitable for the majority of use cases.
DefaultContentInjector() - Constructor for class dev.langchain4j.rag.content.injector.DefaultContentInjector
DefaultContentInjector(PromptTemplate) - Constructor for class dev.langchain4j.rag.content.injector.DefaultContentInjector
DefaultContentInjector(PromptTemplate, List<String>) - Constructor for class dev.langchain4j.rag.content.injector.DefaultContentInjector
DefaultContentInjector(List<String>) - Constructor for class dev.langchain4j.rag.content.injector.DefaultContentInjector
DefaultContentInjector.DefaultContentInjectorBuilder - Class in dev.langchain4j.rag.content.injector
defaultIndexMapping() - Static method in class dev.langchain4j.store.embedding.mongodb.IndexMapping
DefaultMetadataStorageConfig - Class in dev.langchain4j.store.embedding.pgvector: Metadata configuration implementation
DefaultMetadataStorageConfig() - Constructor for class dev.langchain4j.store.embedding.pgvector.DefaultMetadataStorageConfig: Just for warnings ?
DefaultMistralAiClient - Class in dev.langchain4j.model.mistralai.internal.client
DefaultMistralAiClient.Builder - Class in dev.langchain4j.model.mistralai.internal.client
DefaultOvhAiClient - Class in dev.langchain4j.model.ovhai.internal.client
DefaultOvhAiClient.Builder - Class in dev.langchain4j.model.ovhai.internal.client
DefaultQueryRouter - Class in dev.langchain4j.rag.query.router: Default implementation of QueryRouter intended to be suitable for the majority of use cases.
DefaultQueryRouter(ContentRetriever...) - Constructor for class dev.langchain4j.rag.query.router.DefaultQueryRouter
DefaultQueryRouter(Collection<ContentRetriever>) - Constructor for class dev.langchain4j.rag.query.router.DefaultQueryRouter
DefaultQueryTransformer - Class in dev.langchain4j.rag.query.transformer: Default implementation of QueryTransformer intended to be suitable for the majority of use cases.
DefaultQueryTransformer() - Constructor for class dev.langchain4j.rag.query.transformer.DefaultQueryTransformer
DefaultRetrievalAugmentor - Class in dev.langchain4j.rag: The default implementation of RetrievalAugmentor intended to be suitable for the majority of use cases.
DefaultRetrievalAugmentor(QueryTransformer, QueryRouter, ContentAggregator, ContentInjector, Executor) - Constructor for class dev.langchain4j.rag.DefaultRetrievalAugmentor
DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder - Class in dev.langchain4j.rag
DefaultStructuredPromptFactory - Class in dev.langchain4j.model.input.structured: Default implementation of StructuredPromptFactory.
DefaultStructuredPromptFactory() - Constructor for class dev.langchain4j.model.input.structured.DefaultStructuredPromptFactory: Create a default structured prompt factory.
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
defaultSubSplitter() - Method in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: The default sub-splitter to use when a single segment is too long.
DefaultToolExecutor - Class in dev.langchain4j.service.tool
DefaultToolExecutor(Object, ToolExecutionRequest) - Constructor for class dev.langchain4j.service.tool.DefaultToolExecutor
DefaultToolExecutor(Object, Method) - Constructor for class dev.langchain4j.service.tool.DefaultToolExecutor
definitions() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema: Used together with JsonReferenceSchema when recursion is required.
definitions(Map<String, JsonSchemaElement>) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder: Used together with JsonReferenceSchema when recursion is required.
delayMillis(int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Sets the base delay in milliseconds.
delete() - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Delete the table.
delete() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Delete the table.
deleteIndex() - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
deleteMessages(Object) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Deletes all messages for a specified chat memory.
deleteMessages(Object) - Method in interface dev.langchain4j.store.memory.chat.ChatMemoryStore: Deletes all messages for a specified chat memory.
deleteMessages(Object) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore
deleteMessages(Object) - Method in class dev.langchain4j.store.memory.chat.InMemoryChatMemoryStore
deleteMessages(Object) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore
deleteMessages(Object) - Method in class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore
deleteModel(OllamaModel) - Method in class dev.langchain4j.model.ollama.OllamaModels
deleteModel(String) - Method in class dev.langchain4j.model.ollama.OllamaModels
deleteTableAndIndex() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
delimiter() - Element in annotation interface dev.langchain4j.model.input.structured.StructuredPrompt: The delimiter to join the lines of the prompt template.
delimiter() - Element in annotation interface dev.langchain4j.service.SystemMessage
delimiter() - Element in annotation interface dev.langchain4j.service.UserMessage
delta - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder: Sets the deployment name in Azure OpenAI.
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder: Sets the deployment name in Azure OpenAI.
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the deployment name in Azure OpenAI.
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder: Sets the deployment name in Azure OpenAI.
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Sets the deployment name in Azure OpenAI.
deploymentName(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder: Sets the deployment name in Azure OpenAI.
description - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicTool
description() - Method in class dev.langchain4j.agent.tool.ToolSpecification: Returns the description of the tool.
description() - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema
description() - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema
description() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.ColumnDefinition
description() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition
description(String) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use the new JsonSchemaElement API instead to define the schema for tool parameters
description(String) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder: Sets the description.
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder
description(String) - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema.Builder
description(String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder
Description - Annotation Interface in dev.langchain4j.model.output.structured: Annotation to attach a description to a class field.
detailLevel() - Method in class dev.langchain4j.data.message.ImageContent: Get the DetailLevel.
details(OllamaModelDetails) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
details(OllamaModelDetails) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
dev.langchain4j - package dev.langchain4j
dev.langchain4j.agent.tool - package dev.langchain4j.agent.tool
dev.langchain4j.agent.tool.graalvm - package dev.langchain4j.agent.tool.graalvm
dev.langchain4j.chain - package dev.langchain4j.chain
dev.langchain4j.classification - package dev.langchain4j.classification
dev.langchain4j.code - package dev.langchain4j.code
dev.langchain4j.code.graalvm - package dev.langchain4j.code.graalvm
dev.langchain4j.code.judge0 - package dev.langchain4j.code.judge0
dev.langchain4j.data.audio - package dev.langchain4j.data.audio
dev.langchain4j.data.document - package dev.langchain4j.data.document
dev.langchain4j.data.document.loader - package dev.langchain4j.data.document.loader
dev.langchain4j.data.document.loader.amazon.s3 - package dev.langchain4j.data.document.loader.amazon.s3
dev.langchain4j.data.document.loader.azure.storage.blob - package dev.langchain4j.data.document.loader.azure.storage.blob
dev.langchain4j.data.document.loader.gcs - package dev.langchain4j.data.document.loader.gcs
dev.langchain4j.data.document.loader.github - package dev.langchain4j.data.document.loader.github
dev.langchain4j.data.document.loader.selenium - package dev.langchain4j.data.document.loader.selenium
dev.langchain4j.data.document.loader.tencent.cos - package dev.langchain4j.data.document.loader.tencent.cos
dev.langchain4j.data.document.parser - package dev.langchain4j.data.document.parser
dev.langchain4j.data.document.parser.apache.pdfbox - package dev.langchain4j.data.document.parser.apache.pdfbox
dev.langchain4j.data.document.parser.apache.poi - package dev.langchain4j.data.document.parser.apache.poi
dev.langchain4j.data.document.parser.apache.tika - package dev.langchain4j.data.document.parser.apache.tika
dev.langchain4j.data.document.source - package dev.langchain4j.data.document.source
dev.langchain4j.data.document.source.amazon.s3 - package dev.langchain4j.data.document.source.amazon.s3
dev.langchain4j.data.document.source.azure.storage.blob - package dev.langchain4j.data.document.source.azure.storage.blob
dev.langchain4j.data.document.source.gcs - package dev.langchain4j.data.document.source.gcs
dev.langchain4j.data.document.source.github - package dev.langchain4j.data.document.source.github
dev.langchain4j.data.document.source.tencent.cos - package dev.langchain4j.data.document.source.tencent.cos
dev.langchain4j.data.document.splitter - package dev.langchain4j.data.document.splitter
dev.langchain4j.data.document.splitter.recursive - package dev.langchain4j.data.document.splitter.recursive
dev.langchain4j.data.document.transformer.jsoup - package dev.langchain4j.data.document.transformer.jsoup
dev.langchain4j.data.embedding - package dev.langchain4j.data.embedding
dev.langchain4j.data.image - package dev.langchain4j.data.image
dev.langchain4j.data.message - package dev.langchain4j.data.message
dev.langchain4j.data.pdf - package dev.langchain4j.data.pdf
dev.langchain4j.data.segment - package dev.langchain4j.data.segment
dev.langchain4j.data.text - package dev.langchain4j.data.text
dev.langchain4j.data.video - package dev.langchain4j.data.video
dev.langchain4j.exception - package dev.langchain4j.exception
dev.langchain4j.experimental.rag.content.retriever.sql - package dev.langchain4j.experimental.rag.content.retriever.sql
dev.langchain4j.internal - package dev.langchain4j.internal
dev.langchain4j.memory - package dev.langchain4j.memory
dev.langchain4j.memory.chat - package dev.langchain4j.memory.chat
dev.langchain4j.model - package dev.langchain4j.model
dev.langchain4j.model.anthropic - package dev.langchain4j.model.anthropic
dev.langchain4j.model.anthropic.internal.api - package dev.langchain4j.model.anthropic.internal.api
dev.langchain4j.model.anthropic.internal.client - package dev.langchain4j.model.anthropic.internal.client
dev.langchain4j.model.anthropic.internal.mapper - package dev.langchain4j.model.anthropic.internal.mapper
dev.langchain4j.model.anthropic.internal.sanitizer - package dev.langchain4j.model.anthropic.internal.sanitizer
dev.langchain4j.model.azure - package dev.langchain4j.model.azure
dev.langchain4j.model.azure.spi - package dev.langchain4j.model.azure.spi
dev.langchain4j.model.bedrock - package dev.langchain4j.model.bedrock
dev.langchain4j.model.bedrock.internal - package dev.langchain4j.model.bedrock.internal
dev.langchain4j.model.chat - package dev.langchain4j.model.chat
dev.langchain4j.model.chat.listener - package dev.langchain4j.model.chat.listener
dev.langchain4j.model.chat.request - package dev.langchain4j.model.chat.request
dev.langchain4j.model.chat.request.json - package dev.langchain4j.model.chat.request.json
dev.langchain4j.model.chat.response - package dev.langchain4j.model.chat.response
dev.langchain4j.model.cohere - package dev.langchain4j.model.cohere
dev.langchain4j.model.embedding - package dev.langchain4j.model.embedding
dev.langchain4j.model.github - package dev.langchain4j.model.github
dev.langchain4j.model.github.spi - package dev.langchain4j.model.github.spi
dev.langchain4j.model.googleai - package dev.langchain4j.model.googleai
dev.langchain4j.model.huggingface - package dev.langchain4j.model.huggingface
dev.langchain4j.model.huggingface.client - package dev.langchain4j.model.huggingface.client
dev.langchain4j.model.huggingface.spi - package dev.langchain4j.model.huggingface.spi
dev.langchain4j.model.image - package dev.langchain4j.model.image
dev.langchain4j.model.input - package dev.langchain4j.model.input
dev.langchain4j.model.input.structured - package dev.langchain4j.model.input.structured
dev.langchain4j.model.jina - package dev.langchain4j.model.jina
dev.langchain4j.model.jina.internal.api - package dev.langchain4j.model.jina.internal.api
dev.langchain4j.model.jina.internal.client - package dev.langchain4j.model.jina.internal.client
dev.langchain4j.model.jlama - package dev.langchain4j.model.jlama
dev.langchain4j.model.jlama.spi - package dev.langchain4j.model.jlama.spi
dev.langchain4j.model.language - package dev.langchain4j.model.language
dev.langchain4j.model.localai - package dev.langchain4j.model.localai
dev.langchain4j.model.localai.spi - package dev.langchain4j.model.localai.spi
dev.langchain4j.model.mistralai - package dev.langchain4j.model.mistralai
dev.langchain4j.model.mistralai.internal.api - package dev.langchain4j.model.mistralai.internal.api
dev.langchain4j.model.mistralai.internal.client - package dev.langchain4j.model.mistralai.internal.client
dev.langchain4j.model.mistralai.internal.mapper - package dev.langchain4j.model.mistralai.internal.mapper
dev.langchain4j.model.mistralai.spi - package dev.langchain4j.model.mistralai.spi
dev.langchain4j.model.moderation - package dev.langchain4j.model.moderation
dev.langchain4j.model.nomic - package dev.langchain4j.model.nomic
dev.langchain4j.model.ollama - package dev.langchain4j.model.ollama
dev.langchain4j.model.ollama.spi - package dev.langchain4j.model.ollama.spi
dev.langchain4j.model.openai - package dev.langchain4j.model.openai
dev.langchain4j.model.openai.spi - package dev.langchain4j.model.openai.spi
dev.langchain4j.model.output - package dev.langchain4j.model.output
dev.langchain4j.model.output.structured - package dev.langchain4j.model.output.structured
dev.langchain4j.model.ovhai - package dev.langchain4j.model.ovhai
dev.langchain4j.model.ovhai.internal.api - package dev.langchain4j.model.ovhai.internal.api
dev.langchain4j.model.ovhai.internal.client - package dev.langchain4j.model.ovhai.internal.client
dev.langchain4j.model.scoring - package dev.langchain4j.model.scoring
dev.langchain4j.model.scoring.onnx - package dev.langchain4j.model.scoring.onnx
dev.langchain4j.model.vertexai - package dev.langchain4j.model.vertexai
dev.langchain4j.model.vertexai.spi - package dev.langchain4j.model.vertexai.spi
dev.langchain4j.model.voyageai - package dev.langchain4j.model.voyageai
dev.langchain4j.model.workersai - package dev.langchain4j.model.workersai
dev.langchain4j.model.workersai.client - package dev.langchain4j.model.workersai.client
dev.langchain4j.model.workersai.spi - package dev.langchain4j.model.workersai.spi
dev.langchain4j.rag - package dev.langchain4j.rag
dev.langchain4j.rag.content - package dev.langchain4j.rag.content
dev.langchain4j.rag.content.aggregator - package dev.langchain4j.rag.content.aggregator
dev.langchain4j.rag.content.injector - package dev.langchain4j.rag.content.injector
dev.langchain4j.rag.content.retriever - package dev.langchain4j.rag.content.retriever
dev.langchain4j.rag.content.retriever.azure.search - package dev.langchain4j.rag.content.retriever.azure.search
dev.langchain4j.rag.content.retriever.neo4j - package dev.langchain4j.rag.content.retriever.neo4j
dev.langchain4j.rag.query - package dev.langchain4j.rag.query
dev.langchain4j.rag.query.router - package dev.langchain4j.rag.query.router
dev.langchain4j.rag.query.transformer - package dev.langchain4j.rag.query.transformer
dev.langchain4j.retriever - package dev.langchain4j.retriever
dev.langchain4j.service - package dev.langchain4j.service
dev.langchain4j.service.output - package dev.langchain4j.service.output
dev.langchain4j.service.tool - package dev.langchain4j.service.tool
dev.langchain4j.spi - package dev.langchain4j.spi
dev.langchain4j.spi.data.document.parser - package dev.langchain4j.spi.data.document.parser
dev.langchain4j.spi.data.document.splitter - package dev.langchain4j.spi.data.document.splitter
dev.langchain4j.spi.data.message - package dev.langchain4j.spi.data.message
dev.langchain4j.spi.json - package dev.langchain4j.spi.json
dev.langchain4j.spi.model.embedding - package dev.langchain4j.spi.model.embedding
dev.langchain4j.spi.prompt - package dev.langchain4j.spi.prompt
dev.langchain4j.spi.prompt.structured - package dev.langchain4j.spi.prompt.structured
dev.langchain4j.spi.services - package dev.langchain4j.spi.services
dev.langchain4j.spi.store.embedding.inmemory - package dev.langchain4j.spi.store.embedding.inmemory
dev.langchain4j.store.embedding - package dev.langchain4j.store.embedding
dev.langchain4j.store.embedding.astradb - package dev.langchain4j.store.embedding.astradb
dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore - package dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore
dev.langchain4j.store.embedding.azure.cosmos.nosql - package dev.langchain4j.store.embedding.azure.cosmos.nosql
dev.langchain4j.store.embedding.azure.search - package dev.langchain4j.store.embedding.azure.search
dev.langchain4j.store.embedding.cassandra - package dev.langchain4j.store.embedding.cassandra
dev.langchain4j.store.embedding.chroma - package dev.langchain4j.store.embedding.chroma
dev.langchain4j.store.embedding.coherence - package dev.langchain4j.store.embedding.coherence
dev.langchain4j.store.embedding.couchbase - package dev.langchain4j.store.embedding.couchbase
dev.langchain4j.store.embedding.elasticsearch - package dev.langchain4j.store.embedding.elasticsearch
dev.langchain4j.store.embedding.filter - package dev.langchain4j.store.embedding.filter
dev.langchain4j.store.embedding.filter.builder.sql - package dev.langchain4j.store.embedding.filter.builder.sql
dev.langchain4j.store.embedding.filter.comparison - package dev.langchain4j.store.embedding.filter.comparison
dev.langchain4j.store.embedding.filter.logical - package dev.langchain4j.store.embedding.filter.logical
dev.langchain4j.store.embedding.filter.parser.sql - package dev.langchain4j.store.embedding.filter.parser.sql
dev.langchain4j.store.embedding.infinispan - package dev.langchain4j.store.embedding.infinispan
dev.langchain4j.store.embedding.inmemory - package dev.langchain4j.store.embedding.inmemory
dev.langchain4j.store.embedding.milvus - package dev.langchain4j.store.embedding.milvus
dev.langchain4j.store.embedding.mongodb - package dev.langchain4j.store.embedding.mongodb
dev.langchain4j.store.embedding.neo4j - package dev.langchain4j.store.embedding.neo4j
dev.langchain4j.store.embedding.opensearch - package dev.langchain4j.store.embedding.opensearch
dev.langchain4j.store.embedding.oracle - package dev.langchain4j.store.embedding.oracle
dev.langchain4j.store.embedding.pgvector - package dev.langchain4j.store.embedding.pgvector
dev.langchain4j.store.embedding.pinecone - package dev.langchain4j.store.embedding.pinecone
dev.langchain4j.store.embedding.qdrant - package dev.langchain4j.store.embedding.qdrant
dev.langchain4j.store.embedding.redis - package dev.langchain4j.store.embedding.redis
dev.langchain4j.store.embedding.tablestore - package dev.langchain4j.store.embedding.tablestore
dev.langchain4j.store.embedding.vespa - package dev.langchain4j.store.embedding.vespa
dev.langchain4j.store.embedding.weaviate - package dev.langchain4j.store.embedding.weaviate
dev.langchain4j.store.graph.neo4j - package dev.langchain4j.store.graph.neo4j
dev.langchain4j.store.memory.chat - package dev.langchain4j.store.memory.chat
dev.langchain4j.store.memory.chat.cassandra - package dev.langchain4j.store.memory.chat.cassandra
dev.langchain4j.store.memory.chat.coherence - package dev.langchain4j.store.memory.chat.coherence
dev.langchain4j.store.memory.chat.redis - package dev.langchain4j.store.memory.chat.redis
dev.langchain4j.store.memory.chat.tablestore - package dev.langchain4j.store.memory.chat.tablestore
dev.langchain4j.web.search - package dev.langchain4j.web.search
dev.langchain4j.web.search.google.customsearch - package dev.langchain4j.web.search.google.customsearch
dev.langchain4j.web.search.searchapi - package dev.langchain4j.web.search.searchapi
dev.langchain4j.web.search.tavily - package dev.langchain4j.web.search.tavily
digest(String) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
DIGITAL_ART - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle
DigitalArt - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
dimension - Variable in class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel: dimension of embedding
dimension - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
dimension() - Method in class dev.langchain4j.data.embedding.Embedding: Returns the dimension of the vector.
dimension() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName
dimension() - Method in class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel
dimension() - Method in interface dev.langchain4j.model.embedding.EmbeddingModel: Returns the dimension of the Embedding produced by this embedding model.
dimension() - Method in class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel
dimension() - Method in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName
dimension() - Method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName
dimension() - Method in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
dimension() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the dimension record component.
dimension(int) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
dimension(int) - Method in class dev.langchain4j.store.embedding.mongodb.IndexMapping.Builder
dimension(Integer) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
dimension(Integer) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
dimension is not used anymore.
dimension(Integer) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan vector dimension
dimension(Integer) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
dimension(Integer) - Method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig.Builder
dimension(Integer) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig.Builder
dimension(Integer) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
DimensionAwareEmbeddingModel - Class in dev.langchain4j.model.embedding: A dimension aware embedding model
DimensionAwareEmbeddingModel() - Constructor for class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel
dimensions(int) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: If using the ready-made index, sets the number of dimensions of the embeddings.
dimensions(int) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: If using the ready-made index, sets the number of dimensions of the embeddings.
dimensions(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
dimensions(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
dimensions(Integer) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
dimensions(Integer) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
dimensions(Integer) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
DisabledChatLanguageModel - Class in dev.langchain4j.model.chat: A ChatLanguageModel which throws a ModelDisabledException for all of its methods
DisabledChatLanguageModel() - Constructor for class dev.langchain4j.model.chat.DisabledChatLanguageModel
DisabledEmbeddingModel - Class in dev.langchain4j.model.embedding: An EmbeddingModel which throws a ModelDisabledException for all of its methods
DisabledEmbeddingModel() - Constructor for class dev.langchain4j.model.embedding.DisabledEmbeddingModel
DisabledImageModel - Class in dev.langchain4j.model.image: An ImageModel which throws a ModelDisabledException for all of its methods
DisabledImageModel() - Constructor for class dev.langchain4j.model.image.DisabledImageModel
DisabledLanguageModel - Class in dev.langchain4j.model.language: A LanguageModel which throws a ModelDisabledException for all of its methods
DisabledLanguageModel() - Constructor for class dev.langchain4j.model.language.DisabledLanguageModel
DisabledModerationModel - Class in dev.langchain4j.model.moderation: A ModerationModel which throws a ModelDisabledException for all of its methods
DisabledModerationModel() - Constructor for class dev.langchain4j.model.moderation.DisabledModerationModel
DisabledStreamingChatLanguageModel - Class in dev.langchain4j.model.chat: A StreamingChatLanguageModel which throws a ModelDisabledException for all of its methods
DisabledStreamingChatLanguageModel() - Constructor for class dev.langchain4j.model.chat.DisabledStreamingChatLanguageModel
DisabledStreamingLanguageModel - Class in dev.langchain4j.model.language: A StreamingLanguageModel which throws a ModelDisabledException for all of its methods
DisabledStreamingLanguageModel() - Constructor for class dev.langchain4j.model.language.DisabledStreamingLanguageModel
DISCOLM_GERMAN_7B_V1_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: DiscoLM German 7b is a Mistral-based large language model with a focus on German-language applications.
displayName(String) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
distance() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the distance record component.
distance(Integer) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan distance for knn query
DO_NOT_ROUTE - Enum constant in enum class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.FallbackStrategy: In this case, the Query will not be routed to any ContentRetriever, thus skipping the RAG flow.
document - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResult
document(String) - Static method in class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
document(String, Metadata) - Static method in class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
Document - Class in dev.langchain4j.data.document: Represents an unstructured piece of text that usually corresponds to a content of a single file.
Document - Class in dev.langchain4j.store.embedding.azure.search
Document() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document
Document(String) - Constructor for class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
Document(String, Metadata) - Constructor for class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
Document.Metadata - Class in dev.langchain4j.store.embedding.azure.search
Document.Metadata.Attribute - Class in dev.langchain4j.store.embedding.azure.search
DocumentByCharacterSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into characters and attempts to fit as many characters as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentByCharacterSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
DocumentByCharacterSplitter(int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
DocumentByCharacterSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
DocumentByCharacterSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
DocumentByLineSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into lines and attempts to fit as many lines as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentByLineSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
DocumentByLineSplitter(int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
DocumentByLineSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
DocumentByLineSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
DocumentByParagraphSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into paragraphs and attempts to fit as many paragraphs as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentByParagraphSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
DocumentByParagraphSplitter(int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
DocumentByParagraphSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
DocumentByParagraphSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
DocumentByRegexSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into parts using the provided regex and attempts to fit as many parts as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentByRegexSplitter(String, String, int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
DocumentByRegexSplitter(String, String, int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
DocumentByRegexSplitter(String, String, int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
DocumentByRegexSplitter(String, String, int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
DocumentBySentenceSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into sentences and attempts to fit as many sentences as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentBySentenceSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
DocumentBySentenceSplitter(int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
DocumentBySentenceSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
DocumentBySentenceSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
DocumentByWordSplitter - Class in dev.langchain4j.data.document.splitter: Splits the provided Document into words and attempts to fit as many words as possible into a single TextSegment, adhering to the limit set by maxSegmentSize.
DocumentByWordSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
DocumentByWordSplitter(int, int, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
DocumentByWordSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
DocumentByWordSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
documentChunks - Variable in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore: The NamedMap used to store the document chunks.
DocumentLoader - Class in dev.langchain4j.data.document: Utility class for loading documents.
DocumentParser - Interface in dev.langchain4j.data.document: Defines the interface for parsing an InputStream into a Document.
DocumentParserFactory - Interface in dev.langchain4j.spi.data.document.parser: A factory for creating DocumentParser instances through SPI.
documents - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingRequest
DocumentSource - Interface in dev.langchain4j.data.document: Defines the interface for a Document source.
documentSplitter(DocumentSplitter) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Sets the document splitter.
DocumentSplitter - Interface in dev.langchain4j.data.document: Defines the interface for splitting a document into text segments.
DocumentSplitterFactory - Interface in dev.langchain4j.spi.data.document.splitter: A factory for creating DocumentSplitter instances through SPI.
DocumentSplitters - Class in dev.langchain4j.data.document.splitter
DocumentSplitters() - Constructor for class dev.langchain4j.data.document.splitter.DocumentSplitters
documentTransformer(DocumentTransformer) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Sets the document transformer.
DocumentTransformer - Interface in dev.langchain4j.data.document: Defines the interface for transforming a Document.
DONT_ALLOW - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration
doSample(Boolean) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
DREAM_SHAPER_8_LCM - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Stable Diffusion model that has been fine-tuned to be better at photorealism without sacrificing range.
dropCollection(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore
dynamicFilter(Function<Query, Filter>) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
dynamicMaxResults(Function<Query, Integer>) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
dynamicMinScore(Function<Query, Double>) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder

E

echo(Boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
echo(Boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
edit(Image, Image, String) - Method in class dev.langchain4j.model.image.DisabledImageModel
edit(Image, Image, String) - Method in interface dev.langchain4j.model.image.ImageModel: Given an existing image, edit this image following the given prompt and apply the changes only to the part of the image specified by the given mask.
edit(Image, Image, String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel
edit(Image, Image, String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Given an existing image, edit this image following the given prompt and apply the changes only to the part of the image specified by the given mask.
edit(Image, String) - Method in class dev.langchain4j.model.image.DisabledImageModel
edit(Image, String) - Method in interface dev.langchain4j.model.image.ImageModel: Given an existing image, edit this image following the given prompt.
edit(Image, String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel
edit(Image, String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Given an existing image, edit this image following the given prompt.
efConstruction(Integer) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
efSearch(Integer) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
ElasticsearchConfiguration - Class in dev.langchain4j.store.embedding.elasticsearch
ElasticsearchConfiguration() - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfiguration
ElasticsearchConfigurationKnn - Class in dev.langchain4j.store.embedding.elasticsearch: Represents an Elasticsearch index as an embedding store using the approximate kNN query implementation.
ElasticsearchConfigurationKnn.Builder - Class in dev.langchain4j.store.embedding.elasticsearch
ElasticsearchConfigurationScript - Class in dev.langchain4j.store.embedding.elasticsearch: Represents an Elasticsearch index as an embedding store.
ElasticsearchConfigurationScript.Builder - Class in dev.langchain4j.store.embedding.elasticsearch
ElasticsearchEmbeddingStore - Class in dev.langchain4j.store.embedding.elasticsearch: Represents an Elasticsearch index as an embedding store.
ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String) - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)
ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String, Integer) - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)
ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String) - Constructor for class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore: Constructor using a RestClient
ElasticsearchEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.elasticsearch
ElasticsearchRequestFailedException - Exception Class in dev.langchain4j.store.embedding.elasticsearch
ElasticsearchRequestFailedException() - Constructor for exception class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchRequestFailedException
ElasticsearchRequestFailedException(String) - Constructor for exception class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchRequestFailedException
ElasticsearchRequestFailedException(String, Throwable) - Constructor for exception class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchRequestFailedException
ElasticsearchRequestFailedException(Throwable) - Constructor for exception class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchRequestFailedException
embed(TextSegment) - Method in class dev.langchain4j.model.embedding.DisabledEmbeddingModel
embed(TextSegment) - Method in interface dev.langchain4j.model.embedding.EmbeddingModel: Embed the text content of a TextSegment.
embed(TextSegment) - Method in class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel
embed(TextSegment) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Embed the text content of a TextSegment.
embed(EmbeddingRequest) - Method in interface dev.langchain4j.model.huggingface.client.HuggingFaceClient
embed(JinaEmbeddingRequest) - Method in class dev.langchain4j.model.jina.internal.client.JinaClient
embed(JinaEmbeddingRequest, String) - Method in interface dev.langchain4j.model.jina.internal.api.JinaApi
embed(EmbeddingRequest) - Method in class dev.langchain4j.model.ovhai.internal.client.DefaultOvhAiClient
embed(EmbeddingRequest, String) - Method in interface dev.langchain4j.model.ovhai.internal.api.OvhAiApi
embed(WorkersAiEmbeddingRequest, String, String) - Method in interface dev.langchain4j.model.workersai.client.WorkersAiApi: Generate embeddings.
embed(String) - Method in class dev.langchain4j.model.embedding.DisabledEmbeddingModel
embed(String) - Method in interface dev.langchain4j.model.embedding.EmbeddingModel: Embed a text.
embed(String) - Method in class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel
embed(String) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Embed a text.
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel: Embeds the provided text segments, processing a maximum of 16 segments at a time.
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.cohere.CohereEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.embedding.DisabledEmbeddingModel
embedAll(List<TextSegment>) - Method in interface dev.langchain4j.model.embedding.EmbeddingModel: Embeds the text content of a list of TextSegments.
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel: Embeds the provided text segments, processing a maximum of 16 segments at a time.
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.huggingface.HuggingFaceEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.jina.JinaEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.jlama.JlamaEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.localai.LocalAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel: Embeds a list of text segments using the Mistral AI embedding model.
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.nomic.NomicEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.ovhai.OvhAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel
embedAll(List<TextSegment>) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Embeds the text content of a list of TextSegments.
embedded() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch: Returns the original content that was embedded.
embedding - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbedding
embedding() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch: Returns the embedding that has been matched.
embedding() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Returns the value of the embedding record component.
embedding(MistralAiEmbeddingRequest) - Method in interface dev.langchain4j.model.mistralai.internal.api.MistralAiApi
embedding(MistralAiEmbeddingRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
embedding(MistralAiEmbeddingRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
embedding(List<Float>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder
Embedding - Class in dev.langchain4j.data.embedding: Represents a dense vector embedding of a text.
Embedding(float[]) - Constructor for class dev.langchain4j.data.embedding.Embedding: Creates a new Embedding.
embeddingColumn() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable: Returns the name of this table's embedding column.
embeddingColumn(String) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Configures the name of a column which stores an embedding.
embeddingId() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch: The ID of the embedding assigned when adding this embedding to the store.
EmbeddingMatch<Embedded> - Class in dev.langchain4j.store.embedding: Represents a matched embedding along with its relevance score (derivative of cosine distance), ID, and original embedded content.
EmbeddingMatch(Double, String, Embedding, Embedded) - Constructor for class dev.langchain4j.store.embedding.EmbeddingMatch: Creates a new instance.
embeddingModel(EmbeddingModel) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the Embedding Model.
embeddingModel(EmbeddingModel) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
embeddingModel(EmbeddingModel) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Sets the embedding model.
EmbeddingModel - Interface in dev.langchain4j.model.embedding: Represents a model that can convert a given text into an embedding (vector representation of the text).
EmbeddingModelFactory - Interface in dev.langchain4j.spi.model.embedding: A factory for creating EmbeddingModel instances through SPI.
EmbeddingModelTextClassifier<L> - Class in dev.langchain4j.classification: A TextClassifier that uses an EmbeddingModel and predefined examples to perform classification.
EmbeddingModelTextClassifier(EmbeddingModel, Map<L, ? extends Collection<String>>) - Constructor for class dev.langchain4j.classification.EmbeddingModelTextClassifier: Creates a classifier with the default values for EmbeddingModelTextClassifier.maxResults (1), EmbeddingModelTextClassifier.minScore (0) and EmbeddingModelTextClassifier.meanToMaxScoreRatio (0.5).
EmbeddingModelTextClassifier(EmbeddingModel, Map<L, ? extends Collection<String>>, int, double, double) - Constructor for class dev.langchain4j.classification.EmbeddingModelTextClassifier: Creates a classifier.
EmbeddingRequest - Class in dev.langchain4j.model.huggingface.client
EmbeddingRequest - Class in dev.langchain4j.model.ovhai.internal.api
EmbeddingRequest() - Constructor for class dev.langchain4j.model.ovhai.internal.api.EmbeddingRequest
EmbeddingRequest(List<String>, boolean) - Constructor for class dev.langchain4j.model.huggingface.client.EmbeddingRequest
EmbeddingResponse - Class in dev.langchain4j.model.ovhai.internal.api
EmbeddingResponse() - Constructor for class dev.langchain4j.model.ovhai.internal.api.EmbeddingResponse
EmbeddingResult() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiEmbeddingResponse.EmbeddingResult: Default constructor.
embeddingsClient(EmbeddingsClient) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder: Sets the Azure AI Inference API client.
EmbeddingSearchRequest - Class in dev.langchain4j.store.embedding: Represents a request to search in an EmbeddingStore.
EmbeddingSearchRequest(Embedding, Integer, Double, Filter) - Constructor for class dev.langchain4j.store.embedding.EmbeddingSearchRequest: Creates an instance of an EmbeddingSearchRequest.
EmbeddingSearchRequest.EmbeddingSearchRequestBuilder - Class in dev.langchain4j.store.embedding
EmbeddingSearchResult<Embedded> - Class in dev.langchain4j.store.embedding: Represents a result of a search in an EmbeddingStore.
EmbeddingSearchResult(List<EmbeddingMatch<Embedded>>) - Constructor for class dev.langchain4j.store.embedding.EmbeddingSearchResult
embeddingStore(EmbeddingStore<TextSegment>) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
embeddingStore(EmbeddingStore<TextSegment>) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder: Sets the embedding store.
EmbeddingStore<Embedded> - Interface in dev.langchain4j.store.embedding: Represents a store for embeddings, also known as a vector database.
EmbeddingStoreContentRetriever - Class in dev.langchain4j.rag.content.retriever: A ContentRetriever that retrieves from an EmbeddingStore.
EmbeddingStoreContentRetriever(EmbeddingStore<TextSegment>, EmbeddingModel) - Constructor for class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
EmbeddingStoreContentRetriever(EmbeddingStore<TextSegment>, EmbeddingModel, int) - Constructor for class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
EmbeddingStoreContentRetriever(EmbeddingStore<TextSegment>, EmbeddingModel, Integer, Double) - Constructor for class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder - Class in dev.langchain4j.rag.content.retriever
EmbeddingStoreIngestor - Class in dev.langchain4j.store.embedding: The EmbeddingStoreIngestor represents an ingestion pipeline and is responsible for ingesting Documents into an EmbeddingStore.
EmbeddingStoreIngestor(DocumentTransformer, DocumentSplitter, TextSegmentTransformer, EmbeddingModel, EmbeddingStore<TextSegment>) - Constructor for class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Creates an instance of an EmbeddingStoreIngestor.
EmbeddingStoreIngestor.Builder - Class in dev.langchain4j.store.embedding: EmbeddingStoreIngestor builder.
EmbeddingStoreRetriever - Class in dev.langchain4j.retriever: Deprecated, for removal: This API element is subject to removal in a future version.
use EmbeddingStoreContentRetriever instead.
EmbeddingStoreRetriever(EmbeddingStore<TextSegment>, EmbeddingModel, int, Double) - Constructor for class dev.langchain4j.retriever.EmbeddingStoreRetriever: Deprecated.
embeddingTable - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Represents an embedding table in Cassandra, it is a table with a vector column.
embeddingTable(EmbeddingTable) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures a table used to store embeddings, text, and metadata.
embeddingTable(String) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures the name of a table used to store embeddings, text, and metadata.
embeddingTable(String, CreateOption) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures the name of table used to store embeddings, text, and metadata.
EmbeddingTable - Class in dev.langchain4j.store.embedding.oracle: Represents a database table where embeddings, text, and metadata are stored.
EmbeddingTable.Builder - Class in dev.langchain4j.store.embedding.oracle: A builder that configures and builds an EmbeddingTable.
encode(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
encode(String) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
encode(String, int) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
encode(String, int) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
encodingFormat(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder: Format in which the embeddings are encoded.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder: Sets the Azure OpenAI endpoint.
endpoint(String) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder: Sets the GitHub Models endpoint.
endpoint(String) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder: Sets the GitHub Models endpoint.
endpoint(String) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder: Sets the GitHub Models endpoint.
endpoint(String) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
endpoint(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
endpoint(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
endpoint(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
endpoint(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the Azure AI Search endpoint.
endpoint(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: Sets the Azure AI Search endpoint.
endpointUrl(String) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder: Specifies a custom endpoint URL to override the default service URL.
Enhance - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
enhancements(AzureChatEnhancementConfiguration) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
enhancements(AzureChatEnhancementConfiguration) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
ensureBetween(Double, double, double, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given Double value is in [min, max].
ensureBetween(Integer, int, int, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given Integer value is in [min, max].
ensureBetween(Long, long, long, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given Long value is in [min, max].
ensureEq(Object, Object, String, Object...) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensure that the two values are equal.
ensureGreaterThanZero(Integer, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given expression is true.
ensureNotBlank(String, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given string is not null and not blank.
ensureNotEmpty(Map<K, V>, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given map is not null and not empty.
ensureNotEmpty(T, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given collection is not null and not empty.
ensureNotNull(T, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given object is not null.
ensureNotNull(T, String, Object...) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given object is not null.
ensureTrailingForwardSlash(String) - Static method in class dev.langchain4j.internal.Utils: Appends a trailing '/' if the provided URL does not end with '/'
ensureTrue(boolean, String) - Static method in class dev.langchain4j.internal.ValidationUtils: Ensures that the given expression is true.
enums(Class<?>) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonEnumSchema instead
enums(Object...) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonEnumSchema instead
enums(String...) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonEnumSchema instead
enumValues() - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema
enumValues(String...) - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema.Builder
enumValues(List<String>) - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema.Builder
env(AstraEnvironment) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
env(AstraEnvironment) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
environment(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)
environment(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig.Builder
EPHEMERAL - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheType
EPSILON - Static variable in class dev.langchain4j.store.embedding.CosineSimilarity: A small value to avoid division by zero.
equals(Object) - Method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated.
equals(Object) - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest
equals(Object) - Method in class dev.langchain4j.agent.tool.ToolParameters: Deprecated.
equals(Object) - Method in class dev.langchain4j.agent.tool.ToolSpecification
equals(Object) - Method in record class dev.langchain4j.classification.ClassificationResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class dev.langchain4j.classification.ScoredLabel: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class dev.langchain4j.data.audio.Audio
equals(Object) - Method in class dev.langchain4j.data.document.Document
equals(Object) - Method in class dev.langchain4j.data.document.Metadata
equals(Object) - Method in class dev.langchain4j.data.embedding.Embedding
equals(Object) - Method in class dev.langchain4j.data.image.Image
equals(Object) - Method in class dev.langchain4j.data.message.AiMessage
equals(Object) - Method in class dev.langchain4j.data.message.AudioContent
equals(Object) - Method in class dev.langchain4j.data.message.ImageContent
equals(Object) - Method in class dev.langchain4j.data.message.PdfFileContent
equals(Object) - Method in class dev.langchain4j.data.message.SystemMessage
equals(Object) - Method in class dev.langchain4j.data.message.TextContent
equals(Object) - Method in class dev.langchain4j.data.message.TextFileContent
equals(Object) - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage
equals(Object) - Method in class dev.langchain4j.data.message.UserMessage
equals(Object) - Method in class dev.langchain4j.data.message.VideoContent
equals(Object) - Method in class dev.langchain4j.data.pdf.PdfFile
equals(Object) - Method in class dev.langchain4j.data.segment.TextSegment
equals(Object) - Method in class dev.langchain4j.data.text.TextFile
equals(Object) - Method in class dev.langchain4j.data.video.Video
equals(Object) - Method in class dev.langchain4j.model.chat.request.ChatRequest
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema
equals(Object) - Method in class dev.langchain4j.model.chat.request.ResponseFormat
equals(Object) - Method in class dev.langchain4j.model.chat.response.ChatResponse
equals(Object) - Method in class dev.langchain4j.model.huggingface.client.Options
equals(Object) - Method in class dev.langchain4j.model.huggingface.client.Parameters
equals(Object) - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
equals(Object) - Method in class dev.langchain4j.model.input.Prompt
equals(Object) - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class dev.langchain4j.model.moderation.Moderation
equals(Object) - Method in class dev.langchain4j.model.output.Response
equals(Object) - Method in class dev.langchain4j.model.output.TokenUsage
equals(Object) - Method in class dev.langchain4j.rag.content.Content
equals(Object) - Method in class dev.langchain4j.rag.query.Metadata
equals(Object) - Method in class dev.langchain4j.rag.query.Query
equals(Object) - Method in class dev.langchain4j.service.tool.ToolExecution
equals(Object) - Method in class dev.langchain4j.store.embedding.EmbeddingMatch
equals(Object) - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.And
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.Not
equals(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.Or
equals(Object) - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch
equals(Object) - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase
equals(Object) - Method in class dev.langchain4j.web.search.WebSearchInformationResult
equals(Object) - Method in class dev.langchain4j.web.search.WebSearchOrganicResult
equals(Object) - Method in class dev.langchain4j.web.search.WebSearchRequest
equals(Object) - Method in class dev.langchain4j.web.search.WebSearchResults
error() - Method in class dev.langchain4j.model.chat.listener.ChatModelErrorContext
Error() - Constructor for class dev.langchain4j.model.workersai.client.ApiResponse.Error: Default constructor.
estimateTokenCount(UserMessage) - Method in interface dev.langchain4j.model.chat.TokenCountEstimator: Estimates the count of tokens in the specified message.
estimateTokenCount(TextSegment) - Method in interface dev.langchain4j.model.chat.TokenCountEstimator: Estimates the count of tokens in the specified text segment.
estimateTokenCount(TextSegment) - Method in interface dev.langchain4j.model.embedding.TokenCountEstimator: Estimates the count of tokens in the given text segment.
estimateTokenCount(TextSegment) - Method in interface dev.langchain4j.model.language.TokenCountEstimator: Estimates the count of tokens in the given text segment.
estimateTokenCount(Prompt) - Method in interface dev.langchain4j.model.chat.TokenCountEstimator: Estimates the count of tokens in the specified prompt.
estimateTokenCount(Prompt) - Method in interface dev.langchain4j.model.language.TokenCountEstimator: Estimates the count of tokens in the given prompt.
estimateTokenCount(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel
estimateTokenCount(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel
estimateTokenCount(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel
estimateTokenCount(String) - Method in interface dev.langchain4j.model.chat.TokenCountEstimator: Estimates the count of tokens in the specified text.
estimateTokenCount(String) - Method in interface dev.langchain4j.model.embedding.TokenCountEstimator: Estimates the count of tokens in the given text.
estimateTokenCount(String) - Method in interface dev.langchain4j.model.language.TokenCountEstimator: Estimates the count of tokens in the given text.
estimateTokenCount(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel
estimateTokenCount(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel
estimateTokenCount(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel
estimateTokenCount(List<ChatMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel
estimateTokenCount(List<ChatMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel
estimateTokenCount(List<ChatMessage>) - Method in interface dev.langchain4j.model.chat.TokenCountEstimator: Estimates the count of tokens in the specified list of messages.
estimateTokenCount(List<ChatMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
estimateTokenCount(List<ChatMessage>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel
estimateTokenCount(List<ChatMessage>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
estimateTokenCount(List<TextSegment>) - Method in interface dev.langchain4j.model.embedding.TokenCountEstimator: Estimates the count of tokens in the given text segments.
estimateTokenCountInForcefulToolExecutionRequest(ToolExecutionRequest) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInForcefulToolExecutionRequest(ToolExecutionRequest) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInForcefulToolExecutionRequest(ToolExecutionRequest) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given tool execution request.
estimateTokenCountInForcefulToolSpecification(ToolSpecification) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInForcefulToolSpecification(ToolSpecification) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInForcefulToolSpecification(ToolSpecification) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given tool specification.
estimateTokenCountInMessage(ChatMessage) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInMessage(ChatMessage) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiTokenizer
estimateTokenCountInMessage(ChatMessage) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInMessage(ChatMessage) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given message.
estimateTokenCountInMessages(Iterable<ChatMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInMessages(Iterable<ChatMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiTokenizer
estimateTokenCountInMessages(Iterable<ChatMessage>) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInMessages(Iterable<ChatMessage>) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given messages.
estimateTokenCountInText(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInText(String) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiTokenizer
estimateTokenCountInText(String) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInText(String) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given text.
estimateTokenCountInToolExecutionRequests(Iterable<ToolExecutionRequest>) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInToolExecutionRequests(Iterable<ToolExecutionRequest>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiTokenizer
estimateTokenCountInToolExecutionRequests(Iterable<ToolExecutionRequest>) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInToolExecutionRequests(Iterable<ToolExecutionRequest>) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given tool execution requests.
estimateTokenCountInTools(Iterable<Object>) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in Tool annotations of the given objects.
estimateTokenCountInTools(Object) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in Tool annotations of the given object.
estimateTokenCountInToolSpecifications(Iterable<ToolSpecification>) - Method in class dev.langchain4j.model.azure.AzureOpenAiTokenizer
estimateTokenCountInToolSpecifications(Iterable<ToolSpecification>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiTokenizer
estimateTokenCountInToolSpecifications(Iterable<ToolSpecification>) - Method in class dev.langchain4j.model.openai.OpenAiTokenizer
estimateTokenCountInToolSpecifications(Iterable<ToolSpecification>) - Method in interface dev.langchain4j.model.Tokenizer: Estimates the count of tokens in the given tool specifications.
exactSearch(boolean) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures the embedding store to use exact or approximate similarity search.
Exceptions - Class in dev.langchain4j.internal: Utility methods for creating common exceptions.
execute(ToolExecutionRequest, Object) - Method in class dev.langchain4j.service.tool.DefaultToolExecutor
execute(ToolExecutionRequest, Object) - Method in interface dev.langchain4j.service.tool.ToolExecutor: Executes a tool requests.
execute(Input) - Method in interface dev.langchain4j.chain.Chain: Execute the chain step.
execute(String) - Method in class dev.langchain4j.chain.ConversationalChain
execute(String) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain
execute(String) - Method in interface dev.langchain4j.code.CodeExecutionEngine: Execute the given code.
execute(String) - Method in class dev.langchain4j.code.graalvm.GraalVmJavaScriptExecutionEngine
execute(String) - Method in class dev.langchain4j.code.graalvm.GraalVmPythonExecutionEngine
execute(String, Statement) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
executeJavaScriptCode(String) - Method in class dev.langchain4j.agent.tool.graalvm.GraalVmJavaScriptExecutionTool
executeJavaScriptCode(String) - Method in class dev.langchain4j.code.judge0.Judge0JavaScriptExecutionTool
executePythonCode(String) - Method in class dev.langchain4j.agent.tool.graalvm.GraalVmPythonExecutionTool
executeRead(String) - Method in class dev.langchain4j.store.graph.neo4j.Neo4jGraph
executeWrite(String) - Method in class dev.langchain4j.store.graph.neo4j.Neo4jGraph
executor(Executor) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
ExpandingQueryTransformer - Class in dev.langchain4j.rag.query.transformer: A QueryTransformer that utilizes a ChatLanguageModel to expand a given Query.
ExpandingQueryTransformer(ChatLanguageModel) - Constructor for class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
ExpandingQueryTransformer(ChatLanguageModel, int) - Constructor for class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
ExpandingQueryTransformer(ChatLanguageModel, PromptTemplate) - Constructor for class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
ExpandingQueryTransformer(ChatLanguageModel, PromptTemplate, Integer) - Constructor for class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
ExpandingQueryTransformer.ExpandingQueryTransformerBuilder - Class in dev.langchain4j.rag.query.transformer
Experimental - Annotation Interface in dev.langchain4j: Indicates that a class/constructor/method is experimental and might change in the future.
expression() - Method in class dev.langchain4j.store.embedding.filter.logical.Not
extractSelectStatement(String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder

F

FACT_VERIFICATION - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
FACT_VERIFICATION - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
FAIL - Enum constant in enum class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.FallbackStrategy: In this case, an original exception will be re-thrown, and the RAG flow will fail.
FALCOM_7B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets.
fallback(Query, Exception) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
fallback(Query, String, String, Exception) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
fallbackStrategy - Variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
fallbackStrategy(LanguageModelQueryRouter.FallbackStrategy) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder
families(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
family(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
FantasyArt - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
FILE_NAME - Static variable in class dev.langchain4j.data.document.Document: Common metadata key for the name of the file from which the document was loaded.
fileName() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the fileName record component.
fileName(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan schema file name
FileSystemDocumentLoader - Class in dev.langchain4j.data.document.loader
FileSystemSource - Class in dev.langchain4j.data.document.source
FileSystemSource(Path) - Constructor for class dev.langchain4j.data.document.source.FileSystemSource
filter() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
filter(Filter) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the filter to be applied to the search query.
filter(Filter) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
filter(Filter) - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder
filter(Bson) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder: Document query filter, all fields included in filter must be contained in IndexMapping.metadataFieldNames
Filter - Interface in dev.langchain4j.store.embedding.filter: This class represents a filter that can be applied during search in an EmbeddingStore.
filterMapper - Variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
filterMapper(AzureAiSearchFilterMapper) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the filter mapper to be used to map Filter objects to Azure AI Search filter strings.
filterMapper(AzureAiSearchFilterMapper) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: Sets the filter mapper to be used.
FilterParser - Interface in dev.langchain4j.store.embedding.filter: Parses a filter expression string into a Filter object.
findRelevant(Embedding, int) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore: Finds the most relevant (closest in space) embeddings to the provided reference embedding.
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Search for relevant.
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
findRelevant(Embedding, int, double) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore
findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore: Finds the most relevant (closest in space) embeddings to the provided reference embedding.
findRelevant(Embedding, int, double, Metadata) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore: Similarity Search ANN based on the embedding.
findRelevant(Embedding, Filter, int, double) - Method in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore: Semantic search with metadata filtering.
findRelevant(Object, Embedding, int) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
findRelevant(Object, Embedding, int, double) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
findRelevant(Object, String) - Method in interface dev.langchain4j.retriever.Retriever: Deprecated.

Find relevant items for the given text and memoryId.
findRelevant(String) - Method in class dev.langchain4j.retriever.EmbeddingStoreRetriever: Deprecated.
findRelevant(String) - Method in interface dev.langchain4j.retriever.Retriever: Deprecated.

Find relevant items for the given text.
finishReason() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse
finishReason() - Method in class dev.langchain4j.model.chat.response.ChatResponse
finishReason() - Method in class dev.langchain4j.model.output.Response: Get the finish reason.
finishReason() - Method in class dev.langchain4j.service.Result
finishReason(FinishReason) - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder
finishReason(FinishReason) - Method in class dev.langchain4j.model.chat.response.ChatResponse.Builder
finishReason(FinishReason) - Method in class dev.langchain4j.service.Result.ResultBuilder
FinishReason - Enum Class in dev.langchain4j.model.output: The reason why a model call finished.
finishReasonFrom(String) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper
finishReasonFrom(String) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper
firstChars(String, int) - Static method in class dev.langchain4j.internal.Utils: Returns the first numberOfChars characters of the given string.
flagged() - Method in class dev.langchain4j.model.moderation.Moderation: Returns true if the text was flagged.
flagged(String) - Static method in class dev.langchain4j.model.moderation.Moderation: Constructs a Moderation object that is flagged.
flaggedText() - Method in class dev.langchain4j.model.moderation.Moderation: Returns the text that was flagged.
forcePathStyle(boolean) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder: Set the forcePathStyle.
format(Metadata) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
format(ChatMessage) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
format(Content) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
format(TableDefinition) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
format(String) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
format(String) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
format(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
format(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
format(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
format(String, String) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
format(List<ChatMessage>) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer
format(List<Content>) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
FOUR_THIRDS - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio
frequencyPenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
frequencyPenalty(Double) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
from(float[]) - Static method in class dev.langchain4j.data.embedding.Embedding: Creates a new Embedding from the given vector.
from(T) - Static method in class dev.langchain4j.model.output.Response: Create a new Response.
from(T, TokenUsage) - Static method in class dev.langchain4j.model.output.Response: Create a new Response.
from(T, TokenUsage, FinishReason) - Static method in class dev.langchain4j.model.output.Response: Create a new Response.
from(T, TokenUsage, FinishReason, Map<String, Object>) - Static method in class dev.langchain4j.model.output.Response: Create a new Response.
from(ToolExecutionRequest...) - Static method in class dev.langchain4j.data.message.AiMessage: Create a new AiMessage with the given tool execution requests.
from(ToolExecutionRequest, String) - Static method in class dev.langchain4j.data.message.ToolExecutionResultMessage: Creates a ToolExecutionResultMessage from a ToolExecutionRequest and the result of the tool execution.
from(Audio) - Static method in class dev.langchain4j.data.message.AudioContent: Create a new AudioContent from the given Audio.
from(Image) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given image.
from(Image, ImageContent.DetailLevel) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given image.
from(Content...) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from contents.
from(UserMessage, Object, List<ChatMessage>) - Static method in class dev.langchain4j.rag.query.Metadata
from(PdfFile) - Static method in class dev.langchain4j.data.message.PdfFileContent: Create a new PdfFileContent from the given PDF.
from(TextSegment) - Static method in class dev.langchain4j.rag.content.Content
from(TextFile) - Static method in class dev.langchain4j.data.message.TextFileContent: Create a new TextFileContent from the given text file.
from(Video) - Static method in class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given video.
from(JsonSchemaElement) - Static method in class dev.langchain4j.model.vertexai.SchemaHelper
from(MistralAiFunction) - Static method in class dev.langchain4j.model.mistralai.internal.api.MistralAiTool
from(EmbeddingStore<TextSegment>) - Static method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever: Creates an instance of an EmbeddingStoreContentRetriever from the specified EmbeddingStore and EmbeddingModel found through SPI (see EmbeddingModelFactory).
from(EmbeddingStore<TextSegment>, EmbeddingModel) - Static method in class dev.langchain4j.retriever.EmbeddingStoreRetriever: Deprecated.
from(EmbeddingStore<TextSegment>, EmbeddingModel, int) - Static method in class dev.langchain4j.retriever.EmbeddingStoreRetriever: Deprecated.
from(EmbeddingStore<TextSegment>, EmbeddingModel, int, double) - Static method in class dev.langchain4j.retriever.EmbeddingStoreRetriever: Deprecated.
from(WebSearchEngine) - Static method in class dev.langchain4j.web.search.WebSearchTool: Creates a new WebSearchTool with the specified web search engine.
from(WebSearchInformationResult, List<WebSearchOrganicResult>) - Static method in class dev.langchain4j.web.search.WebSearchResults: Creates a new instance of WebSearchResults from the specified parameters.
from(File) - Static method in class dev.langchain4j.data.document.source.FileSystemSource
from(Long) - Static method in class dev.langchain4j.web.search.WebSearchInformationResult: Creates a new WebSearchInformationResult with the specified total results.
from(Long, Integer, Map<String, Object>) - Static method in class dev.langchain4j.web.search.WebSearchInformationResult: Creates a new WebSearchInformationResult with the specified total results, page number, and metadata.
from(String) - Static method in class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
from(String) - Static method in class dev.langchain4j.data.document.source.FileSystemSource
from(String) - Static method in class dev.langchain4j.data.document.source.UrlSource
from(String) - Static method in class dev.langchain4j.data.message.AiMessage: Create a new AiMessage with the given text.
from(String) - Static method in class dev.langchain4j.data.message.AudioContent: Create a new AudioContent from the given url.
from(String) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url.
from(String) - Static method in class dev.langchain4j.data.message.PdfFileContent: Create a new PdfFileContent from the given url.
from(String) - Static method in class dev.langchain4j.data.message.SystemMessage: Creates a new system message.
from(String) - Static method in class dev.langchain4j.data.message.TextContent: Creates a new text content.
from(String) - Static method in class dev.langchain4j.data.message.TextFileContent: Create a new TextFileContent from the given url.
from(String) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a text.
from(String) - Static method in class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given url.
from(String) - Static method in class dev.langchain4j.data.segment.TextSegment: Creates a new text segment.
from(String) - Static method in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoice
from(String) - Static method in class dev.langchain4j.model.input.Prompt: Create a new Prompt.
from(String) - Static method in class dev.langchain4j.model.input.PromptTemplate: Create a new PromptTemplate.
from(String) - Static method in class dev.langchain4j.rag.content.Content
from(String) - Static method in class dev.langchain4j.rag.query.Query
from(String) - Static method in class dev.langchain4j.store.embedding.pgvector.MetadataColumDefinition: transform sql string to MetadataColumDefinition
from(String) - Static method in class dev.langchain4j.web.search.WebSearchRequest: Create a web search request with the given search terms.
from(String, Metadata) - Static method in class dev.langchain4j.data.document.Document: Creates a new Document from the given text.
from(String, Metadata) - Static method in class dev.langchain4j.data.segment.TextSegment: Creates a new text segment.
from(String, Content...) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and contents.
from(String, ImageContent.DetailLevel) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url and detail level.
from(String, Metadata) - Static method in class dev.langchain4j.rag.query.Query
from(String, Integer) - Static method in class dev.langchain4j.web.search.WebSearchRequest: Create a web search request with the given search terms and maximum number of results.
from(String, Object) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use the new JsonSchemaElement API instead to define the schema for tool parameters
from(String, Object) - Static method in class dev.langchain4j.data.document.Metadata: Deprecated, for removal: This API element is subject to removal in a future version.
Use Metadata.from(String, String) instead
from(String, String) - Static method in class dev.langchain4j.data.document.Metadata: Constructs a Metadata object from a single key-value pair.
from(String, String) - Static method in class dev.langchain4j.data.message.AudioContent: Create a new AudioContent from the given base64 data and mime type.
from(String, String) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given base64 data and mime type.
from(String, String) - Static method in class dev.langchain4j.data.message.PdfFileContent: Create a new PdfFileContent from the given base64 data and mime type.
from(String, String) - Static method in class dev.langchain4j.data.message.TextFileContent: Create a new TextFileContent from the given base64 data and mime type.
from(String, String) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and a text.
from(String, String) - Static method in class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given base64 data and mime type.
from(String, String, ImageContent.DetailLevel) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given base64 data and mime type.
from(String, String, String) - Static method in class dev.langchain4j.data.message.ToolExecutionResultMessage: Creates a ToolExecutionResultMessage from a ToolExecutionRequest and the result of the tool execution.
from(String, URI) - Static method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult
from(String, URI) - Static method in class dev.langchain4j.web.search.WebSearchOrganicResult: Creates a WebSearchOrganicResult object from the given title and URL.
from(String, URI, String, String) - Static method in class dev.langchain4j.web.search.WebSearchOrganicResult: Creates a WebSearchOrganicResult object from the given title, URL, snippet and/or content.
from(String, URI, String, String, Map<String, String>) - Static method in class dev.langchain4j.web.search.WebSearchOrganicResult: Creates a WebSearchOrganicResult object from the given title, URL, snippet and/or content, and result metadata.
from(String, URI, URI, URI) - Static method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult
from(String, List<ToolExecutionRequest>) - Static method in class dev.langchain4j.data.message.AiMessage: Create a new AiMessage with the given text and tool execution requests.
from(String, List<Content>) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and contents.
from(URI) - Static method in class dev.langchain4j.data.document.source.FileSystemSource
from(URI) - Static method in class dev.langchain4j.data.document.source.UrlSource
from(URI) - Static method in class dev.langchain4j.data.message.AudioContent: Create a new AudioContent from the given url.
from(URI) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url.
from(URI) - Static method in class dev.langchain4j.data.message.PdfFileContent: Create a new PdfFileContent from the given url.
from(URI) - Static method in class dev.langchain4j.data.message.TextFileContent: Create a new TextFileContent from the given url.
from(URI) - Static method in class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given url.
from(URI, ImageContent.DetailLevel) - Static method in class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url and detail level.
from(URL) - Static method in class dev.langchain4j.data.document.source.UrlSource
from(Path) - Static method in class dev.langchain4j.data.document.source.FileSystemSource
from(List<ToolExecutionRequest>) - Static method in class dev.langchain4j.data.message.AiMessage: Create a new AiMessage with the given tool execution requests.
from(List<Content>) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from contents.
from(List<Float>) - Static method in class dev.langchain4j.data.embedding.Embedding: Creates a new Embedding from the given vector.
from(Map<String, ?>) - Static method in class dev.langchain4j.data.document.Metadata: Constructs a Metadata object from a map of key-value pairs.
from(Map<String, Object>, WebSearchInformationResult, List<WebSearchOrganicResult>) - Static method in class dev.langchain4j.web.search.WebSearchResults: Creates a new instance of WebSearchResults from the specified parameters.
fromAzureScoreToRelevanceScore(double) - Static method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore: Calculates LangChain4j's RelevanceScore from Azure AI Search's score.
fromAzureScoreToRelevanceScore(SearchResult, AzureAiSearchQueryType) - Static method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore: Calculates LangChain4j's RelevanceScore from Azure AI Search's score, for the 4 types of search.
fromClass(Class<?>) - Static method in class dev.langchain4j.model.vertexai.SchemaHelper: Create an instance of Schema from a class by reflection on its fields.
fromClient(MongoClient) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder: Build Mongo Client, Please close the client to release resources after usage
fromCosineSimilarity(double) - Static method in class dev.langchain4j.store.embedding.RelevanceScore: Converts cosine similarity into relevance score.
fromFile(String) - Static method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
fromFile(Path) - Static method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
fromJson(String) - Method in class dev.langchain4j.store.embedding.inmemory.GsonInMemoryEmbeddingStoreJsonCodec
fromJson(String) - Static method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
fromJson(String) - Method in interface dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStoreJsonCodec
fromJson(String, Class<T>) - Static method in class dev.langchain4j.internal.Json: Deprecated.
use Jackson's ObjectMapper
fromJson(String, Class<T>) - Method in interface dev.langchain4j.internal.Json.JsonCodec: Deprecated.

Convert the given JSON string to an object of the given class.
fromJson(String, Class<T>) - Static method in class dev.langchain4j.model.bedrock.internal.Json
fromJson(String, Type) - Static method in class dev.langchain4j.internal.Json: Deprecated.
use Jackson's ObjectMapper
fromJson(String, Type) - Method in interface dev.langchain4j.internal.Json.JsonCodec: Deprecated.

Convert the given JSON string to an object of the given type.
fromJsonSchema(String) - Static method in class dev.langchain4j.model.vertexai.SchemaHelper: Create an instance of Schema from a JSON schema string.
fromRelevanceScore(double) - Static method in class dev.langchain4j.store.embedding.CosineSimilarity: Converts relevance score into cosine similarity.
fromResource() - Element in annotation interface dev.langchain4j.service.SystemMessage: The resource from which to read the prompt template.
fromResource() - Element in annotation interface dev.langchain4j.service.UserMessage: The resource from which to read the prompt template.
fromString(String) - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric
fromString(String) - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType
fromType(MistralAiResponseFormatType) - Static method in class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormat
FULL_TEXT - Enum constant in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Uses the full text search to find the most similar TextSegments.
FUNCTION - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolType
fuse(Collection<List<Content>>) - Static method in class dev.langchain4j.rag.content.aggregator.ReciprocalRankFuser: Fuses multiple List<Content> into a single List<Content> using the Reciprocal Rank Fusion (RRF) algorithm with k=60.
fuse(Collection<List<Content>>, int) - Static method in class dev.langchain4j.rag.content.aggregator.ReciprocalRankFuser: Fuses multiple List<Content> into a single List<Content> using the Reciprocal Rank Fusion (RRF) algorithm.
fuse(Map<Query, Collection<List<Content>>>) - Method in class dev.langchain4j.rag.content.aggregator.DefaultContentAggregator
fuse(Map<Query, Collection<List<Content>>>) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator

G

GcsSource - Class in dev.langchain4j.data.document.source.gcs
GcsSource(Blob) - Constructor for class dev.langchain4j.data.document.source.gcs.GcsSource
GeminiFunctionCallingConfig - Class in dev.langchain4j.model.googleai
GeminiFunctionCallingConfig() - Constructor for class dev.langchain4j.model.googleai.GeminiFunctionCallingConfig
GeminiHarmBlockThreshold - Enum Class in dev.langchain4j.model.googleai
GeminiHarmCategory - Enum Class in dev.langchain4j.model.googleai
GeminiMode - Enum Class in dev.langchain4j.model.googleai
GeminiSafetySetting - Class in dev.langchain4j.model.googleai
GeminiSafetySetting() - Constructor for class dev.langchain4j.model.googleai.GeminiSafetySetting
geminiService - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
geminiService - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
GEMMA_2B_IT_LORA - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: This is a Gemma-2B base model that Cloudflare dedicates for inference with LoRA adapters.
GEMMA_2B_IT_LORA_DUPLICATE - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters.
GEMMA_7B_IT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
generate(ChatMessage...) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Generates a response from the model based on a sequence of messages.
generate(ChatMessage...) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel: Generates a response from the model based on a sequence of messages.
generate(ChatMessage...) - Method in class dev.langchain4j.model.chat.DisabledChatLanguageModel
generate(UserMessage, StreamingResponseHandler<AiMessage>) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel: Generates a response from the model based on a message from a user.
generate(TextGenerationRequest) - Method in interface dev.langchain4j.model.huggingface.client.HuggingFaceClient
generate(Prompt) - Method in class dev.langchain4j.model.language.DisabledLanguageModel
generate(Prompt) - Method in interface dev.langchain4j.model.language.LanguageModel: Generate a response to the given prompt.
generate(Prompt) - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel: Generate a response to the given prompt.
generate(Prompt, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.language.DisabledStreamingLanguageModel
generate(Prompt, StreamingResponseHandler<String>) - Method in interface dev.langchain4j.model.language.StreamingLanguageModel: Generates a response from the model based on a prompt.
generate(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel
generate(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel
generate(String) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel: Generates a response from the model based on a message from a user.
generate(String) - Method in class dev.langchain4j.model.chat.DisabledChatLanguageModel
generate(String) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel
generate(String) - Method in class dev.langchain4j.model.image.DisabledImageModel
generate(String) - Method in interface dev.langchain4j.model.image.ImageModel: Given a prompt, generate an image.
generate(String) - Method in class dev.langchain4j.model.jlama.JlamaLanguageModel
generate(String) - Method in class dev.langchain4j.model.language.DisabledLanguageModel
generate(String) - Method in interface dev.langchain4j.model.language.LanguageModel: Generate a response to the given prompt.
generate(String) - Method in class dev.langchain4j.model.localai.LocalAiLanguageModel
generate(String) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel
generate(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel
generate(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel
generate(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel
generate(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel
generate(String) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Generates a response from the model based on a message from a user.
generate(String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Given a prompt, generate an image.
generate(String) - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel: Generate a response to the given prompt.
generate(String, int) - Method in class dev.langchain4j.model.image.DisabledImageModel
generate(String, int) - Method in interface dev.langchain4j.model.image.ImageModel: Given a prompt, generate n images.
generate(String, int) - Method in class dev.langchain4j.model.openai.OpenAiImageModel
generate(String, int) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel
generate(String, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockStreamingChatModel
generate(String, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.chat.DisabledStreamingChatLanguageModel
generate(String, StreamingResponseHandler<AiMessage>) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel: Generates a response from the model based on a message from a user.
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.jlama.JlamaStreamingLanguageModel
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.language.DisabledStreamingLanguageModel
generate(String, StreamingResponseHandler<String>) - Method in interface dev.langchain4j.model.language.StreamingLanguageModel: Generates a response from the model based on a prompt.
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.localai.LocalAiStreamingLanguageModel
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel
generate(String, StreamingResponseHandler<String>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel
generate(String, String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Generate image and save to file.
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.anthropic.AnthropicChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel
generate(List<ChatMessage>) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel: Generates a response from the model based on a sequence of messages.
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.chat.DisabledChatLanguageModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.jlama.JlamaChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.localai.LocalAiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel: Generates chat response based on the given list of messages.
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.ollama.OllamaChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
generate(List<ChatMessage>) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Generates a response from the model based on a sequence of messages.
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel: Generates a response from the model based on a list of messages and a single tool specification.
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.chat.DisabledChatLanguageModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.localai.LocalAiChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel: Generates an AI message response based on the given list of chat messages and a tool specification.
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.openai.OpenAiChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
generate(List<ChatMessage>, ToolSpecification) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Generates a response from the model based on a list of messages and a single tool specification.
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.chat.DisabledStreamingChatLanguageModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel: Generates a response from the model based on a list of messages and a single tool specification.
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.localai.LocalAiStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel: Generates streamed token response based on the given list of messages and tool specification.
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
generate(List<ChatMessage>, ToolSpecification, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.chat.DisabledStreamingChatLanguageModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel: Generates a response from the model based on a sequence of messages.
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.jlama.JlamaStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.localai.LocalAiStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel: Generates streamed token response based on the given list of messages.
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
generate(List<ChatMessage>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.anthropic.AnthropicChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel: Generates a response from the model based on a list of messages and a list of tool specifications.
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.chat.DisabledChatLanguageModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.jlama.JlamaChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.localai.LocalAiChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel: Generates an AI message response based on the given list of chat messages and tool specifications.
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.ollama.OllamaChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
generate(List<ChatMessage>, List<ToolSpecification>) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel: Generates a response from the model based on a list of messages and a list of tool specifications.
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.chat.DisabledStreamingChatLanguageModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel: Generates a response from the model based on a list of messages and a list of tool specifications.
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.jlama.JlamaStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.localai.LocalAiStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel: Generates streamed token response based on the given list of messages and tool specifications.
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
generate(List<ChatMessage>, List<ToolSpecification>, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
generateChat(WorkersAiChatCompletionRequest, String, String) - Method in interface dev.langchain4j.model.workersai.client.WorkersAiApi: Generate chat.
GeneratedToken() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.GeneratedToken
generateIds(int) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Generates list of UUID strings
generateImage(WorkersAiImageGenerationRequest, String, String) - Method in interface dev.langchain4j.model.workersai.client.WorkersAiApi: Generate image.
generateSqlQuery(Query, String, String) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
generateText(WorkersAiTextCompletionRequest, String, String) - Method in interface dev.langchain4j.model.workersai.client.WorkersAiApi: Generate text.
generateUUIDFrom(String) - Static method in class dev.langchain4j.internal.Utils: Generates a UUID from a hash of the given input string.
Generation() - Constructor for class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse.Generation
GENERATION - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.ReturnLikelihood
geoLocation() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the desired geolocation for search results.
geoLocation(String) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the desired geolocation for search results.
get(Object) - Method in interface dev.langchain4j.memory.chat.ChatMemoryProvider: Provides an instance of ChatMemory.
get(String) - Method in class dev.langchain4j.data.document.Metadata: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use Metadata.getString(String), Metadata.getInteger(String), Metadata.getLong(String), Metadata.getFloat(String), Metadata.getDouble(String) instead.
getAttributes() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata
getCassandraSession() - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Access the cassandra session for fined grained operation.
getCategories() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralModerationResult
getCategoryScores() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralModerationResult
getClient() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getConnection() - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore: Datasource connection Creates the vector extension and add the vector type if it does not exist.
getContent() - Method in class dev.langchain4j.store.embedding.azure.search.Document
getContentClass() - Method in enum class dev.langchain4j.data.message.ContentType: Returns the class of the content type.
getContentVector() - Method in class dev.langchain4j.store.embedding.azure.search.Document
getDangerousAndCriminalContent() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getDangerousAndCriminalContent() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getDetails() - Method in class dev.langchain4j.model.ollama.OllamaModel
getDetails() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getDetails() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getDigest() - Method in class dev.langchain4j.model.ollama.OllamaModel
getDigest() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getDimension() - Method in class dev.langchain4j.store.embedding.mongodb.IndexMapping
getDouble(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the Double value associated with the given key.
getEmbedding() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
getEmbedding() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
getEmbeddingField() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getEmbeddingMatches(SearchPagedIterable, Double, AzureAiSearchQueryType) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
getExpiresAt() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getFamilies() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
getFamily() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModelResponse
getFinishReason() - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModelResponse
getFinishReason() - Method in interface dev.langchain4j.model.bedrock.internal.BedrockChatModelResponse
getFloat(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the Float value associated with the given key.
getFormat() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
getGeneratedText() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationResponse
getHateAndDiscrimination() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getHateAndDiscrimination() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getHealth() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getHealth() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getId() - Method in class dev.langchain4j.store.embedding.azure.search.Document
getId() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
getId() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
getInputs() - Method in class dev.langchain4j.model.huggingface.client.EmbeddingRequest
getInputs() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
getInputTextTokenCount() - Method in interface dev.langchain4j.model.bedrock.internal.BedrockEmbeddingResponse: Get input text token count
getInteger(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the Integer value associated with the given key.
getJavaClass() - Method in class dev.langchain4j.store.embedding.infinispan.LangChainItemMarshaller
getJavaClass() - Method in class dev.langchain4j.store.embedding.infinispan.LangChainMetadataMarshaller
getKey() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute
getLaw() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getLaw() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getLicense() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getLong(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the Long value associated with the given key.
getMessages(Object) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Retrieves messages for a specified chat memory.
getMessages(Object) - Method in interface dev.langchain4j.store.memory.chat.ChatMemoryStore: Retrieves messages for a specified chat memory.
getMessages(Object) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore
getMessages(Object) - Method in class dev.langchain4j.store.memory.chat.InMemoryChatMemoryStore
getMessages(Object) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore
getMessages(Object) - Method in class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore
getMetadata() - Method in class dev.langchain4j.store.embedding.azure.search.Document
getMetadata() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
getMetadata() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
getMetadataFieldNames() - Method in class dev.langchain4j.store.embedding.mongodb.IndexMapping
getMetadataSchemaList() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getModel() - Method in class dev.langchain4j.model.ollama.OllamaModel
getModel() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getModelfile() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModel
getModelId() - Method in class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel
getModelId() - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel: Get model id
getModelId() - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel: Get model id
getModelInfo() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getModifiedAt() - Method in class dev.langchain4j.model.ollama.OllamaModel
getModifiedAt() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getName() - Method in class dev.langchain4j.model.ollama.OllamaModel
getName() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getName() - Method in interface dev.langchain4j.spi.prompt.PromptTemplateFactory.Input: Get the name of the template.
getOptions() - Method in class dev.langchain4j.model.huggingface.client.EmbeddingRequest
getOptions() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
getOrDefault(T, Supplier<T>) - Static method in class dev.langchain4j.internal.Utils: Returns the given value if it is not null, otherwise returns the value returned by the given supplier.
getOrDefault(T, T) - Static method in class dev.langchain4j.internal.Utils: Returns the given value if it is not null, otherwise returns the given default value.
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModelResponse
getOutputText() - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModelResponse
getOutputText() - Method in interface dev.langchain4j.model.bedrock.internal.BedrockChatModelResponse
getParameters() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
getParameters() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getParameterSize() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
getPii() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getPii() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getPixels(URL) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel: Convert an image into a array of number, supposedly the Pixels.
getPkName() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getQuantizationLevel() - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
getRawClass(Type) - Static method in class dev.langchain4j.service.TypeUtils
getRemoteCache() - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore: Gets the underlying Infinispan remote cache
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModel
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel: Get request parameters
getRequestParameters(String) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
getRequestParameters(List<TextSegment>) - Method in class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel
getRequestParameters(List<TextSegment>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel: Get request body
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel: Get response class type
getResponseClassType() - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel: Get response class type
getScore() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
getSearchIndexName() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getSelfHarm() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getSelfHarm() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getSexual() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getSexual() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
getSize() - Method in class dev.langchain4j.model.ollama.OllamaModel
getSize() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getSizeVram() - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
getSource() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata
getSqlDialect(DataSource) - Static method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
getString(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the String value associated with the given key.
getTableName() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getTemplate() - Method in class dev.langchain4j.model.ollama.OllamaModelCard
getTemplate() - Method in interface dev.langchain4j.spi.prompt.PromptTemplateFactory.Input: Get the template string.
getText() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
getText() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
getTextField() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockLlamaChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModelResponse
getTokenUsage() - Method in class dev.langchain4j.model.bedrock.BedrockTitanChatModelResponse
getTokenUsage() - Method in interface dev.langchain4j.model.bedrock.internal.BedrockChatModelResponse
getTypeName() - Method in class dev.langchain4j.store.embedding.infinispan.LangChainItemMarshaller
getTypeName() - Method in class dev.langchain4j.store.embedding.infinispan.LangChainMetadataMarshaller
getUUID(String) - Method in class dev.langchain4j.data.document.Metadata: Returns the UUID value associated with the given key.
getValue() - Method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric
getValue() - Method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType
getValue() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute
getVectorDimension() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getVectorMetricType() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
getViolenceAndThreats() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
getViolenceAndThreats() - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
GitHubDocumentLoader - Class in dev.langchain4j.data.document.loader.github
GitHubDocumentLoader() - Constructor for class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
GitHubDocumentLoader(String, String) - Constructor for class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
GitHubDocumentLoader(String, String, String) - Constructor for class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
GitHubDocumentLoader(GitHub) - Constructor for class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
GitHubDocumentLoader.Builder - Class in dev.langchain4j.data.document.loader.github
GitHubModelsChatModel - Class in dev.langchain4j.model.github: Represents a language model, hosted on GitHub Models, that has a chat completion interface, such as gpt-4o.
GitHubModelsChatModel.Builder - Class in dev.langchain4j.model.github
GitHubModelsChatModelBuilderFactory - Interface in dev.langchain4j.model.github.spi: A factory for building GitHubModelsChatModel.Builder instances.
GitHubModelsChatModelName - Enum Class in dev.langchain4j.model.github
GitHubModelsEmbeddingModel - Class in dev.langchain4j.model.github: Represents an embedding model, hosted on GitHub Models, such as text-embedding-3-small.
GitHubModelsEmbeddingModel.Builder - Class in dev.langchain4j.model.github
GitHubModelsEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.github.spi: A factory for building GitHubModelsEmbeddingModel.Builder instances.
GitHubModelsEmbeddingModelName - Enum Class in dev.langchain4j.model.github
GitHubModelsStreamingChatModel - Class in dev.langchain4j.model.github: Represents a language model, hosted on GitHub Models, that has a chat completion interface, such as gpt-4o.
GitHubModelsStreamingChatModel.Builder - Class in dev.langchain4j.model.github
GitHubModelsStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.github.spi: A factory for building GitHubModelsStreamingChatModel.Builder instances.
GitHubSource - Class in dev.langchain4j.data.document.source.github
GitHubSource(GHContent) - Constructor for class dev.langchain4j.data.document.source.github.GitHubSource
gitHubToken(String) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader.Builder
gitHubToken(String) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder: Sets the GitHub token to access GitHub Models.
gitHubToken(String) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder: Sets the GitHub token to access GitHub Models.
gitHubToken(String) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder: Sets the GitHub token to access GitHub Models.
gitHubTokenOrganization(String) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader.Builder
GoogleAiEmbeddingModel - Class in dev.langchain4j.model.googleai
GoogleAiEmbeddingModel(String, String, Integer, GoogleAiEmbeddingModel.TaskType, String, Integer, Duration, Boolean) - Constructor for class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel
GoogleAiEmbeddingModel.TaskType - Enum Class in dev.langchain4j.model.googleai
GoogleAiGeminiChatModel - Class in dev.langchain4j.model.googleai
GoogleAiGeminiChatModel(String, String, Integer, Double, Integer, Double, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
GoogleAiGeminiChatModel.GoogleAiGeminiChatModelBuilder - Class in dev.langchain4j.model.googleai
GoogleAiGeminiChatModelBuilder() - Constructor for class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel.GoogleAiGeminiChatModelBuilder
GoogleAiGeminiStreamingChatModel - Class in dev.langchain4j.model.googleai
GoogleAiGeminiStreamingChatModel(String, String, Double, Integer, Double, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>, Integer) - Constructor for class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder - Class in dev.langchain4j.model.googleai
GoogleAiGeminiStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder
GoogleAiGeminiTokenizer - Class in dev.langchain4j.model.googleai
GoogleCloudStorageDocumentLoader - Class in dev.langchain4j.data.document.loader.gcs: Google Cloud Storage Document Loader to load documents from Google Cloud Storage buckets.
GoogleCloudStorageDocumentLoader.Builder - Class in dev.langchain4j.data.document.loader.gcs
GoogleCustomWebSearchEngine - Class in dev.langchain4j.web.search.google.customsearch: An implementation of a WebSearchEngine that uses Google Custom Search API for performing web searches.
GoogleCustomWebSearchEngine(String, String, Boolean, Boolean, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine: Constructs a new GoogleCustomWebSearchEngine with the specified parameters.
GoogleCustomWebSearchEngine.ImageSearchResult - Class in dev.langchain4j.web.search.google.customsearch
GPT_3_5_TURBO - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_3_5_TURBO - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_0125 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_3_5_TURBO_0125 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_0301 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO_0301 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_0613 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO_0613 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_0613 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_1106 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO_1106 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_3_5_TURBO_1106 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_1106 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_16K - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO_16K - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_3_5_TURBO_16K - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_16K - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_16K_0613 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_3_5_TURBO_16K_0613 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_16K_0613 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_INSTRUCT - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName
GPT_3_5_TURBO_INSTRUCT - Enum constant in enum class dev.langchain4j.model.openai.OpenAiLanguageModelName
GPT_3_5_TURBO_INSTRUCT - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_3_5_TURBO_INSTRUCT - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_3_5_TURBO_INSTRUCT_0914 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName
GPT_4 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_0125_PREVIEW - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_0125_PREVIEW - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_0125_PREVIEW - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_0314 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName: Deprecated.
GPT_4_0314 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_0613 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_0613 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_0613 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_0613 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_1106_PREVIEW - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_1106_PREVIEW - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_1106_PREVIEW - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_1106_PREVIEW - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_32K - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_32K - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_32K - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_32K - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_32K_0314 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_32K_0314 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_32K_0613 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_32K_0613 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_32K_0613 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_32K_0613 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GPT_4_O - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_O - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
GPT_4_O - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_O - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_O_MINI - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
GPT_4_O_MINI - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_TURBO - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_TURBO - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_TURBO_2024_04_09 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_TURBO_2024_04_09 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_TURBO_PREVIEW - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName
GPT_4_VISION_PREVIEW - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
GPT_4_VISION_PREVIEW - Enum constant in enum class dev.langchain4j.model.openai.OpenAiChatModelName: Deprecated.
GPT_4_VISION_PREVIEW - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName: Deprecated.
GPT_4_VISION_PREVIEW - Static variable in class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
GraalVmJavaScriptExecutionEngine - Class in dev.langchain4j.code.graalvm: CodeExecutionEngine that uses GraalVM Polyglot/Truffle to execute provided JavaScript code.
GraalVmJavaScriptExecutionEngine() - Constructor for class dev.langchain4j.code.graalvm.GraalVmJavaScriptExecutionEngine
GraalVmJavaScriptExecutionTool - Class in dev.langchain4j.agent.tool.graalvm: A tool that executes provided JavaScript code using GraalVM Polyglot/Truffle.
GraalVmJavaScriptExecutionTool() - Constructor for class dev.langchain4j.agent.tool.graalvm.GraalVmJavaScriptExecutionTool
GraalVmPythonExecutionEngine - Class in dev.langchain4j.code.graalvm: CodeExecutionEngine that uses GraalVM Polyglot/Truffle to execute provided Python code.
GraalVmPythonExecutionEngine() - Constructor for class dev.langchain4j.code.graalvm.GraalVmPythonExecutionEngine
GraalVmPythonExecutionTool - Class in dev.langchain4j.agent.tool.graalvm: A tool that executes provided Python code using GraalVM Polyglot/Truffle.
GraalVmPythonExecutionTool() - Constructor for class dev.langchain4j.agent.tool.graalvm.GraalVmPythonExecutionTool
GsonChatMessageJsonCodec - Class in dev.langchain4j.data.message: A codec for serializing and deserializing ChatMessage objects to and from JSON.
GsonChatMessageJsonCodec() - Constructor for class dev.langchain4j.data.message.GsonChatMessageJsonCodec: Constructs a new GsonChatMessageJsonCodec.
GsonInMemoryEmbeddingStoreJsonCodec - Class in dev.langchain4j.store.embedding.inmemory
GsonInMemoryEmbeddingStoreJsonCodec() - Constructor for class dev.langchain4j.store.embedding.inmemory.GsonInMemoryEmbeddingStoreJsonCodec
guidanceScale(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

H

HARM_BLOCK_THRESHOLD_UNSPECIFIED - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold
HARM_BLOCK_THRESHOLD_UNSPECIFIED - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
HARM_CATEGORY_CIVIC_INTEGRITY - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmCategory
HARM_CATEGORY_DANGEROUS_CONTENT - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmCategory
HARM_CATEGORY_DANGEROUS_CONTENT - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
HARM_CATEGORY_HARASSMENT - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmCategory
HARM_CATEGORY_HARASSMENT - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
HARM_CATEGORY_HATE_SPEECH - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmCategory
HARM_CATEGORY_HATE_SPEECH - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
HARM_CATEGORY_SEXUALLY_EXPLICIT - Enum constant in enum class dev.langchain4j.model.googleai.GeminiHarmCategory
HARM_CATEGORY_SEXUALLY_EXPLICIT - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
HARM_CATEGORY_UNSPECIFIED - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
HarmCategory - Enum Class in dev.langchain4j.model.vertexai: Possible harm categories for the generation of responses that have been blocked by the model.
hasChatMemory() - Method in class dev.langchain4j.service.AiServiceContext
hashCode() - Method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated.
hashCode() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest
hashCode() - Method in class dev.langchain4j.agent.tool.ToolParameters: Deprecated.
hashCode() - Method in class dev.langchain4j.agent.tool.ToolSpecification
hashCode() - Method in record class dev.langchain4j.classification.ClassificationResult: Returns a hash code value for this object.
hashCode() - Method in record class dev.langchain4j.classification.ScoredLabel: Returns a hash code value for this object.
hashCode() - Method in class dev.langchain4j.data.audio.Audio
hashCode() - Method in class dev.langchain4j.data.document.Document
hashCode() - Method in class dev.langchain4j.data.document.Metadata
hashCode() - Method in class dev.langchain4j.data.embedding.Embedding
hashCode() - Method in class dev.langchain4j.data.image.Image
hashCode() - Method in class dev.langchain4j.data.message.AiMessage
hashCode() - Method in class dev.langchain4j.data.message.AudioContent
hashCode() - Method in class dev.langchain4j.data.message.ImageContent
hashCode() - Method in class dev.langchain4j.data.message.PdfFileContent
hashCode() - Method in class dev.langchain4j.data.message.SystemMessage
hashCode() - Method in class dev.langchain4j.data.message.TextContent
hashCode() - Method in class dev.langchain4j.data.message.TextFileContent
hashCode() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage
hashCode() - Method in class dev.langchain4j.data.message.UserMessage
hashCode() - Method in class dev.langchain4j.data.message.VideoContent
hashCode() - Method in class dev.langchain4j.data.pdf.PdfFile
hashCode() - Method in class dev.langchain4j.data.segment.TextSegment
hashCode() - Method in class dev.langchain4j.data.text.TextFile
hashCode() - Method in class dev.langchain4j.data.video.Video
hashCode() - Method in class dev.langchain4j.model.chat.request.ChatRequest
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema
hashCode() - Method in class dev.langchain4j.model.chat.request.ResponseFormat
hashCode() - Method in class dev.langchain4j.model.chat.response.ChatResponse
hashCode() - Method in class dev.langchain4j.model.huggingface.client.Options
hashCode() - Method in class dev.langchain4j.model.huggingface.client.Parameters
hashCode() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest
hashCode() - Method in class dev.langchain4j.model.input.Prompt
hashCode() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest: Returns a hash code value for this object.
hashCode() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Returns a hash code value for this object.
hashCode() - Method in class dev.langchain4j.model.moderation.Moderation
hashCode() - Method in class dev.langchain4j.model.output.Response
hashCode() - Method in class dev.langchain4j.model.output.TokenUsage
hashCode() - Method in class dev.langchain4j.rag.content.Content
hashCode() - Method in class dev.langchain4j.rag.query.Metadata
hashCode() - Method in class dev.langchain4j.rag.query.Query
hashCode() - Method in class dev.langchain4j.service.tool.ToolExecution
hashCode() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch
hashCode() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo
hashCode() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn
hashCode() - Method in class dev.langchain4j.store.embedding.filter.logical.And
hashCode() - Method in class dev.langchain4j.store.embedding.filter.logical.Not
hashCode() - Method in class dev.langchain4j.store.embedding.filter.logical.Or
hashCode() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns a hash code value for this object.
hashCode() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Returns a hash code value for this object.
hashCode() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata: Returns a hash code value for this object.
hashCode() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch
hashCode() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase
hashCode() - Method in class dev.langchain4j.web.search.WebSearchInformationResult
hashCode() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult
hashCode() - Method in class dev.langchain4j.web.search.WebSearchRequest
hashCode() - Method in class dev.langchain4j.web.search.WebSearchResults
hasSingleText() - Method in class dev.langchain4j.data.message.UserMessage: Whether this message contains a single TextContent.
hasToolExecutionRequests() - Method in class dev.langchain4j.data.message.AiMessage: Check if the message has ToolExecutionRequests.
HERMES_2_PRO_MISTRAL_7B - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes! Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.
HierarchicalDocumentSplitter - Class in dev.langchain4j.data.document.splitter: Base class for hierarchical document splitters.
HierarchicalDocumentSplitter(int, int) - Constructor for class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Creates a new instance of HierarchicalDocumentSplitter.
HierarchicalDocumentSplitter(int, int, HierarchicalDocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Creates a new instance of HierarchicalDocumentSplitter.
HierarchicalDocumentSplitter(int, int, Tokenizer) - Constructor for class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Creates a new instance of HierarchicalDocumentSplitter.
HierarchicalDocumentSplitter(int, int, Tokenizer, DocumentSplitter) - Constructor for class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Creates a new instance of HierarchicalDocumentSplitter.
HIGH - Enum constant in enum class dev.langchain4j.data.message.ImageContent.DetailLevel: High detail.
host(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
host(String) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
host(String) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
host(String) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder
HtmlToTextDocumentTransformer - Class in dev.langchain4j.data.document.transformer.jsoup: Extracts plain text from a given HTML document.
HtmlToTextDocumentTransformer() - Constructor for class dev.langchain4j.data.document.transformer.jsoup.HtmlToTextDocumentTransformer: Constructs an instance of HtmlToTextTransformer that extracts all text from a given Document containing HTML.
HtmlToTextDocumentTransformer(String) - Constructor for class dev.langchain4j.data.document.transformer.jsoup.HtmlToTextDocumentTransformer: Constructs an instance of HtmlToTextTransformer that extracts text from HTML elements matching the specified CSS selector.
HtmlToTextDocumentTransformer(String, Map<String, String>, boolean) - Constructor for class dev.langchain4j.data.document.transformer.jsoup.HtmlToTextDocumentTransformer: Constructs an instance of HtmlToTextTransformer that extracts text from HTML elements matching the specified CSS selector.
HuggingFaceChatModel - Class in dev.langchain4j.model.huggingface
HuggingFaceChatModel(HuggingFaceChatModel.Builder) - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceChatModel
HuggingFaceChatModel(String, String, Duration, Double, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceChatModel
HuggingFaceChatModel.Builder - Class in dev.langchain4j.model.huggingface
HuggingFaceChatModelBuilderFactory - Interface in dev.langchain4j.model.huggingface.spi: A factory for building HuggingFaceChatModel.Builder instances.
HuggingFaceClient - Interface in dev.langchain4j.model.huggingface.client
HuggingFaceClientFactory - Interface in dev.langchain4j.model.huggingface.spi
HuggingFaceClientFactory.Input - Interface in dev.langchain4j.model.huggingface.spi
HuggingFaceEmbeddingModel - Class in dev.langchain4j.model.huggingface
HuggingFaceEmbeddingModel(String, String, Boolean, Duration) - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceEmbeddingModel
HuggingFaceEmbeddingModel.HuggingFaceEmbeddingModelBuilder - Class in dev.langchain4j.model.huggingface
HuggingFaceEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceEmbeddingModel.HuggingFaceEmbeddingModelBuilder
HuggingFaceEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.huggingface.spi: A factory for building HuggingFaceEmbeddingModel.HuggingFaceEmbeddingModelBuilder instances.
HuggingFaceLanguageModel - Class in dev.langchain4j.model.huggingface
HuggingFaceLanguageModel(HuggingFaceLanguageModel.Builder) - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel
HuggingFaceLanguageModel(String, String, Duration, Double, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel
HuggingFaceLanguageModel.Builder - Class in dev.langchain4j.model.huggingface
HuggingFaceLanguageModelBuilderFactory - Interface in dev.langchain4j.model.huggingface.spi: A factory for building HuggingFaceLanguageModel.Builder instances.
HuggingFaceModelName - Class in dev.langchain4j.model.huggingface
HUMAN_PROMPT - Static variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
humanPrompt - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
HYBRID - Enum constant in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Uses the hybrid search (vector + full text) to find the most similar TextSegments.
HYBRID_WITH_RERANKING - Enum constant in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Uses the hybrid search (vector + full text) to find the most similar TextSegments, and uses the semantic re-ranker algorithm to rank the results.

I

id - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicContent
id - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
id - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
id - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolUseContent
id() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest: Returns the id of the tool.
id() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage: Returns the id of the tool.
id() - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory
id() - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory
id() - Method in interface dev.langchain4j.memory.ChatMemory: The ID of the ChatMemory.
id() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse
id() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Returns the value of the id record component.
id() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Returns the value of the id record component.
id(Object) - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory.Builder
id(Object) - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory.Builder
id(String) - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest.Builder: Sets the id.
id(String) - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder
id(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder
idColumn() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable: Returns the name of this table's ID column.
idColumn(String) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Configures the name of a column which stores an id.
idFieldName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
idToRetriever - Variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
ignoreErrors() - Method in class dev.langchain4j.service.AiServiceTokenStream
ignoreErrors() - Method in interface dev.langchain4j.service.TokenStream: All errors during streaming will be ignored (but will be logged with a WARN log level).
illegalArgument(String, Object...) - Static method in class dev.langchain4j.internal.Exceptions: Constructs an IllegalArgumentException with the given formatted result.
illegalConfiguration(String) - Static method in exception class dev.langchain4j.exception.IllegalConfigurationException
illegalConfiguration(String, Object...) - Static method in exception class dev.langchain4j.exception.IllegalConfigurationException
IllegalConfigurationException - Exception Class in dev.langchain4j.exception
IllegalConfigurationException(String) - Constructor for exception class dev.langchain4j.exception.IllegalConfigurationException
image() - Method in class dev.langchain4j.data.message.ImageContent: Get the Image.
Image - Class in dev.langchain4j.data.image: Represents an image as a URL or as a Base64-encoded string.
IMAGE - Enum constant in enum class dev.langchain4j.data.message.ContentType: Image content.
Image.Builder - Class in dev.langchain4j.data.image: Builder for Image.
ImageContent - Class in dev.langchain4j.data.message: Represents an image with a DetailLevel.
ImageContent(Image) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given image.
ImageContent(Image, ImageContent.DetailLevel) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given image.
ImageContent(String) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url.
ImageContent(String, ImageContent.DetailLevel) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url and detail level.
ImageContent(String, String) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given base64 data and mime type.
ImageContent(String, String, ImageContent.DetailLevel) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given base64 data and mime type.
ImageContent(URI) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url.
ImageContent(URI, ImageContent.DetailLevel) - Constructor for class dev.langchain4j.data.message.ImageContent: Create a new ImageContent from the given url and detail level.
ImageContent.DetailLevel - Enum Class in dev.langchain4j.data.message: The detail level of an Image.
ImageGenerationResult() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiImageGenerationResponse.ImageGenerationResult: Default constructor.
imageLink() - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult
ImageModel - Interface in dev.langchain4j.model.image: Text to Image generator model.
includeCodeExecutionOutput - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
includeCodeExecutionOutput - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
index - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData
index - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbedding
index - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResult
index(SearchIndex) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: If using a custom index, sets the index to be used.
index(SearchIndex) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: If using a custom index, sets the index to be used.
index(VectorIndexExtractor<DocumentChunk, Vector<?>>) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Set the vector index to add to the underlying NamedMap.
index(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
indexes() - Method in interface dev.langchain4j.store.embedding.pgvector.MetadataStorageConfig: Metadata Indexes, list of fields to use as index.
indexMapping(IndexMapping) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder: set MongoDB search index fields mapping
IndexMapping - Class in dev.langchain4j.store.embedding.mongodb
IndexMapping(int, Set<String>) - Constructor for class dev.langchain4j.store.embedding.mongodb.IndexMapping
IndexMapping.Builder - Class in dev.langchain4j.store.embedding.mongodb
indexName(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: If no index is provided, set the name of the default index to be used.
indexName(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
indexName(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder: If no index is provided, set the name of the default index to be used.
indexName(String) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder
indexName(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
indexName(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
indexName(String) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
indexType() - Method in interface dev.langchain4j.store.embedding.pgvector.MetadataStorageConfig: Index Type: BTREE (default) GIN ...
indexType(IndexType) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
infinispanConfigBuilder(ConfigurationBuilder) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan Configuration Builder
InfinispanEmbeddingStore - Class in dev.langchain4j.store.embedding.infinispan: Infinispan Embedding Store
InfinispanEmbeddingStore(ConfigurationBuilder, InfinispanStoreConfiguration) - Constructor for class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore: Creates an instance of InfinispanEmbeddingStore
InfinispanEmbeddingStore(RemoteCacheManager, InfinispanStoreConfiguration) - Constructor for class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore: Creates an Infinispan embedding store from a RemoteCacheManager Assumes marshalling configuration is already provided by the RemoteCacheManager instance.
InfinispanEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.infinispan
InfinispanStoreConfiguration - Record Class in dev.langchain4j.store.embedding.infinispan: Holds configuration for the store
InfinispanStoreConfiguration(String, Integer, Integer, String, String, String, String, String, String, boolean, boolean) - Constructor for record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Creates the configuration and sets default values
ingest(Document) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Ingests a specified document into an EmbeddingStore that was specified during the creation of this EmbeddingStoreIngestor.
ingest(Document...) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Ingests specified documents into an EmbeddingStore that was specified during the creation of this EmbeddingStoreIngestor.
ingest(Document, EmbeddingStore<TextSegment>) - Static method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Ingests a specified Document into a specified EmbeddingStore.
ingest(List<Document>) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Ingests specified documents into an EmbeddingStore that was specified during the creation of this EmbeddingStoreIngestor.
ingest(List<Document>, EmbeddingStore<TextSegment>) - Static method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor: Ingests specified Documents into a specified EmbeddingStore.
IngestionResult - Class in dev.langchain4j.store.embedding: Represents the result of a EmbeddingStoreIngestor ingestion process.
IngestionResult(TokenUsage) - Constructor for class dev.langchain4j.store.embedding.IngestionResult
init() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
init() - Method in class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore
initialize(String, AzureKeyCredential, TokenCredential, boolean, int, SearchIndex, String, AzureAiSearchFilterMapper) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
initTable(Boolean, Boolean, Boolean, Integer, Integer) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore: Initialize metadata table following configuration
inject(List<Content>, ChatMessage) - Method in interface dev.langchain4j.rag.content.injector.ContentInjector: Injects given Contents into a given ChatMessage.
inject(List<Content>, ChatMessage) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector
inject(List<Content>, UserMessage) - Method in interface dev.langchain4j.rag.content.injector.ContentInjector: Deprecated.
Use/implement ContentInjector.inject(List, ChatMessage) instead.
inject(List<Content>, UserMessage) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector: Deprecated.
use DefaultContentInjector.inject(List, ChatMessage) instead.
InMemoryChatMemoryStore - Class in dev.langchain4j.store.memory.chat: Implementation of ChatMemoryStore that stores state of ChatMemory (chat messages) in-memory.
InMemoryChatMemoryStore() - Constructor for class dev.langchain4j.store.memory.chat.InMemoryChatMemoryStore: Constructs a new InMemoryChatMemoryStore.
InMemoryEmbeddingStore<Embedded> - Class in dev.langchain4j.store.embedding.inmemory: An EmbeddingStore that stores embeddings in memory.
InMemoryEmbeddingStore() - Constructor for class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
InMemoryEmbeddingStoreJsonCodec - Interface in dev.langchain4j.store.embedding.inmemory
InMemoryEmbeddingStoreJsonCodecFactory - Interface in dev.langchain4j.spi.store.embedding.inmemory
innerAdd(String, Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
innerDelete(String) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
input - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicContent
input - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolUseContent
input - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbeddingRequest
input() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest: Returns the value of the input record component.
inputs(String) - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest.Builder
inputSchema - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicTool
inputStream() - Method in interface dev.langchain4j.data.document.DocumentSource: Provides an InputStream to read the content of the document.
inputStream() - Method in class dev.langchain4j.data.document.source.amazon.s3.AmazonS3Source
inputStream() - Method in class dev.langchain4j.data.document.source.azure.storage.blob.AzureBlobStorageSource
inputStream() - Method in class dev.langchain4j.data.document.source.FileSystemSource
inputStream() - Method in class dev.langchain4j.data.document.source.gcs.GcsSource
inputStream() - Method in class dev.langchain4j.data.document.source.github.GitHubSource
inputStream() - Method in class dev.langchain4j.data.document.source.tencent.cos.TencentCosSource
inputStream() - Method in class dev.langchain4j.data.document.source.UrlSource
inputTokenCount() - Method in class dev.langchain4j.model.output.TokenUsage: Returns the input token count, or null if unknown.
inputTokens - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicUsage
inputType(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder: Type of the input text.
INTEGER - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonIntegerSchema() instead
intercept(Interceptor.Chain) - Method in class dev.langchain4j.model.workersai.client.WorkersAiClient.AuthInterceptor: Intercepts an outgoing HTTP request, adding an authorization header.
InternalOpenAiHelper - Class in dev.langchain4j.model.openai
InternalOpenAiHelper() - Constructor for class dev.langchain4j.model.openai.InternalOpenAiHelper
invoke(String) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel: Invoke model
invoke(InvokeModelRequest, ChatModelRequestContext) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel: Invoke call to the API
isBetween(double, double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isBetween(float, float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isBetween(int, int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isBetween(long, long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isBetween(String, String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isCollectionEmpty(Collection<?>) - Static method in class dev.langchain4j.internal.Utils: Deprecated, for removal: This API element is subject to removal in a future version.
Use Utils.isNullOrEmpty(Collection) instead.
isEqualTo(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isEqualTo(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isEqualTo(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isEqualTo(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isEqualTo(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isEqualTo(UUID) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsEqualTo - Class in dev.langchain4j.store.embedding.filter.comparison
IsEqualTo(String, Object) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo
isError - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolResultContent
isGreaterThan(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThan(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThan(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThan(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThan(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsGreaterThan - Class in dev.langchain4j.store.embedding.filter.comparison
IsGreaterThan(String, Comparable<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan
isGreaterThanOrEqualTo(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThanOrEqualTo(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThanOrEqualTo(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThanOrEqualTo(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isGreaterThanOrEqualTo(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsGreaterThanOrEqualTo - Class in dev.langchain4j.store.embedding.filter.comparison
IsGreaterThanOrEqualTo(String, Comparable<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo
isIn(double...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(float...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(int...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(long...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(String...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(Collection<?>) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isIn(UUID...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsIn - Class in dev.langchain4j.store.embedding.filter.comparison
IsIn(String, Collection<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsIn
isJsonArray(Class<?>) - Static method in class dev.langchain4j.internal.TypeUtils
isJsonBoolean(Class<?>) - Static method in class dev.langchain4j.internal.TypeUtils
isJsonInteger(Class<?>) - Static method in class dev.langchain4j.internal.TypeUtils
isJsonNumber(Class<?>) - Static method in class dev.langchain4j.internal.TypeUtils
isJsonString(Class<?>) - Static method in class dev.langchain4j.internal.TypeUtils
isLessThan(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThan(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThan(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThan(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThan(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsLessThan - Class in dev.langchain4j.store.embedding.filter.comparison
IsLessThan(String, Comparable<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsLessThan
isLessThanOrEqualTo(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThanOrEqualTo(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThanOrEqualTo(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThanOrEqualTo(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isLessThanOrEqualTo(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsLessThanOrEqualTo - Class in dev.langchain4j.store.embedding.filter.comparison
IsLessThanOrEqualTo(String, Comparable<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo
isNotEqualTo(double) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotEqualTo(float) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotEqualTo(int) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotEqualTo(long) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotEqualTo(String) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotEqualTo(UUID) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsNotEqualTo - Class in dev.langchain4j.store.embedding.filter.comparison
IsNotEqualTo(String, Object) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo
isNotIn(double...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(float...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(int...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(long...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(String...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(Collection<?>) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
isNotIn(UUID...) - Method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
IsNotIn - Class in dev.langchain4j.store.embedding.filter.comparison
IsNotIn(String, Collection<?>) - Constructor for class dev.langchain4j.store.embedding.filter.comparison.IsNotIn
isNotNullOrBlank(String) - Static method in class dev.langchain4j.internal.Utils: Is the given string not null and not blank?
isNotNullOrEmpty(String) - Static method in class dev.langchain4j.internal.Utils: Is the given string not null and not empty ("")?
isNullOrBlank(String) - Static method in class dev.langchain4j.internal.Utils: Is the given string null or blank?
isNullOrEmpty(Iterable<?>) - Static method in class dev.langchain4j.internal.Utils: Is the iterable object null or empty?
isNullOrEmpty(String) - Static method in class dev.langchain4j.internal.Utils: Is the given string null or empty ("")?
isNullOrEmpty(Collection<?>) - Static method in class dev.langchain4j.internal.Utils: Is the collection null or empty?
isNullOrEmpty(Map<?, ?>) - Static method in class dev.langchain4j.internal.Utils: Is the map object null or empty?
Isometric - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
isSelect(String) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
IsTextMatch - Class in dev.langchain4j.store.embedding.tablestore
IsTextMatch(String, String) - Constructor for class dev.langchain4j.store.embedding.tablestore.IsTextMatch
IsTextMatchPhrase - Class in dev.langchain4j.store.embedding.tablestore
IsTextMatchPhrase(String, String) - Constructor for class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase
items() - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema
items(JsonSchemaProperty) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonArraySchema instead
items(JsonSchemaElement) - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema.Builder

J

J2MidV2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel.Types
J2UltraV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel.Types
JacocoIgnoreCoverageGenerated - Annotation Interface in dev.langchain4j.internal: Annotation to mark methods where JaCoCo coverage should be ignored.
JinaApi - Interface in dev.langchain4j.model.jina.internal.api
JinaClient - Class in dev.langchain4j.model.jina.internal.client
JinaDocument - Class in dev.langchain4j.model.jina.internal.api
JinaDocument() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaDocument
JinaEmbedding - Class in dev.langchain4j.model.jina.internal.api
JinaEmbedding() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaEmbedding
JinaEmbeddingModel - Class in dev.langchain4j.model.jina: An implementation of an EmbeddingModel that uses Jina Embeddings API.
JinaEmbeddingModel(String, String, String, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.jina.JinaEmbeddingModel
JinaEmbeddingRequest - Class in dev.langchain4j.model.jina.internal.api
JinaEmbeddingRequest() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaEmbeddingRequest
JinaEmbeddingResponse - Class in dev.langchain4j.model.jina.internal.api
JinaEmbeddingResponse() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaEmbeddingResponse
JinaRerankingRequest - Class in dev.langchain4j.model.jina.internal.api
JinaRerankingRequest() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaRerankingRequest
JinaRerankingResponse - Class in dev.langchain4j.model.jina.internal.api
JinaRerankingResponse() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaRerankingResponse
JinaRerankingResult - Class in dev.langchain4j.model.jina.internal.api
JinaRerankingResult() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaRerankingResult
JinaScoringModel - Class in dev.langchain4j.model.jina: An implementation of a ScoringModel that uses Jina Reranker API.
JinaScoringModel(String, String, String, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.jina.JinaScoringModel
JinaUsage - Class in dev.langchain4j.model.jina.internal.api
JinaUsage() - Constructor for class dev.langchain4j.model.jina.internal.api.JinaUsage
jitterDelayMillis(int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy: This method returns the jitter delay in milliseconds for a given attempt.
jitterScale(double) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Sets the jitter scale.
JlamaChatModel - Class in dev.langchain4j.model.jlama
JlamaChatModel(Path, String, String, Integer, Boolean, Path, DType, Float, Integer) - Constructor for class dev.langchain4j.model.jlama.JlamaChatModel
JlamaChatModel.JlamaChatModelBuilder - Class in dev.langchain4j.model.jlama
JlamaChatModelBuilder() - Constructor for class dev.langchain4j.model.jlama.JlamaChatModel.JlamaChatModelBuilder
JlamaChatModelBuilderFactory - Interface in dev.langchain4j.model.jlama.spi: A factory for building JlamaChatModel.JlamaChatModelBuilder instances.
JlamaEmbeddingModel - Class in dev.langchain4j.model.jlama
JlamaEmbeddingModel(Path, String, String, Integer, Boolean, Generator.PoolingType, Path) - Constructor for class dev.langchain4j.model.jlama.JlamaEmbeddingModel
JlamaEmbeddingModel.JlamaEmbeddingModelBuilder - Class in dev.langchain4j.model.jlama
JlamaEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.jlama.JlamaEmbeddingModel.JlamaEmbeddingModelBuilder
JlamaEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.jlama.spi: A factory for building JlamaEmbeddingModel.JlamaEmbeddingModelBuilder instances.
JlamaLanguageModel - Class in dev.langchain4j.model.jlama
JlamaLanguageModel(Path, String, String, Integer, Boolean, Path, DType, Float, Integer) - Constructor for class dev.langchain4j.model.jlama.JlamaLanguageModel
JlamaLanguageModel.JlamaLanguageModelBuilder - Class in dev.langchain4j.model.jlama
JlamaLanguageModelBuilder() - Constructor for class dev.langchain4j.model.jlama.JlamaLanguageModel.JlamaLanguageModelBuilder
JlamaLanguageModelBuilderFactory - Interface in dev.langchain4j.model.jlama.spi: A factory for building JlamaLanguageModel.JlamaLanguageModelBuilder instances.
JlamaStreamingChatModel - Class in dev.langchain4j.model.jlama
JlamaStreamingChatModel(Path, String, String, Integer, Boolean, Path, DType, Float, Integer) - Constructor for class dev.langchain4j.model.jlama.JlamaStreamingChatModel
JlamaStreamingChatModel.JlamaStreamingChatModelBuilder - Class in dev.langchain4j.model.jlama
JlamaStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.jlama.JlamaStreamingChatModel.JlamaStreamingChatModelBuilder
JlamaStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.jlama.spi: A factory for building JlamaStreamingChatModel.JlamaStreamingChatModelBuilder instances.
JlamaStreamingLanguageModel - Class in dev.langchain4j.model.jlama
JlamaStreamingLanguageModel(Path, String, String, Integer, Boolean, Path, DType, Float, Integer) - Constructor for class dev.langchain4j.model.jlama.JlamaStreamingLanguageModel
JlamaStreamingLanguageModel.JlamaStreamingLanguageModelBuilder - Class in dev.langchain4j.model.jlama
JlamaStreamingLanguageModelBuilder() - Constructor for class dev.langchain4j.model.jlama.JlamaStreamingLanguageModel.JlamaStreamingLanguageModelBuilder
JlamaStreamingLanguageModelBuilderFactory - Interface in dev.langchain4j.model.jlama.spi: A factory for building JlamaStreamingLanguageModel.JlamaStreamingLanguageModelBuilder instances.
join(StructuredPrompt) - Static method in class dev.langchain4j.model.input.structured.StructuredPrompt.Util: Joins the lines of the prompt template.
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
joinDelimiter() - Method in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Delimiter string to use to re-join the parts.
JPEG - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.MimeType
Json - Class in dev.langchain4j.internal: Deprecated.
Do not use Json from third-party modules. If you need to serialize/deserialize JSON in third-party modules, use Jackson's ObjectMapper. Json can be used only by langchain4j-core and langchain4j modules.
Json - Class in dev.langchain4j.model.bedrock.internal
Json() - Constructor for class dev.langchain4j.model.bedrock.internal.Json
JSON - Enum constant in enum class dev.langchain4j.model.chat.request.ResponseFormatType
JSON - Static variable in class dev.langchain4j.model.chat.request.ResponseFormat
JSON_OBJECT - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormatType
Json.JsonCodec - Interface in dev.langchain4j.internal: Deprecated.

The abstract JSON codec interface.
JsonAnyOfSchema - Class in dev.langchain4j.model.chat.request.json
JsonAnyOfSchema(JsonAnyOfSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema
JsonAnyOfSchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonArraySchema - Class in dev.langchain4j.model.chat.request.json
JsonArraySchema(JsonArraySchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonArraySchema
JsonArraySchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonBooleanSchema - Class in dev.langchain4j.model.chat.request.json
JsonBooleanSchema() - Constructor for class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
JsonBooleanSchema(JsonBooleanSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonBooleanSchema
JsonBooleanSchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonCodecFactory - Interface in dev.langchain4j.spi.json: A factory for creating Json.JsonCodec instances through SPI.
JsonEnumSchema - Class in dev.langchain4j.model.chat.request.json
JsonEnumSchema(JsonEnumSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonEnumSchema
JsonEnumSchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonIntegerSchema - Class in dev.langchain4j.model.chat.request.json
JsonIntegerSchema() - Constructor for class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
JsonIntegerSchema(JsonIntegerSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonIntegerSchema
JsonIntegerSchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonNumberSchema - Class in dev.langchain4j.model.chat.request.json
JsonNumberSchema() - Constructor for class dev.langchain4j.model.chat.request.json.JsonNumberSchema
JsonNumberSchema(JsonNumberSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonNumberSchema
JsonNumberSchema.Builder - Class in dev.langchain4j.model.chat.request.json
jsonObjectOrReferenceSchemaFrom(Class<?>, String, Map<Class<?>, JsonSchemaElementHelper.VisitedClassMetadata>, boolean) - Static method in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper
JsonObjectSchema - Class in dev.langchain4j.model.chat.request.json
JsonObjectSchema(JsonObjectSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonObjectSchema
JsonObjectSchema.Builder - Class in dev.langchain4j.model.chat.request.json
JsonReferenceSchema - Class in dev.langchain4j.model.chat.request.json: Can reference JsonObjectSchema when recursion is required.
JsonReferenceSchema(JsonReferenceSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonReferenceSchema
JsonReferenceSchema.Builder - Class in dev.langchain4j.model.chat.request.json
jsonSchema() - Method in class dev.langchain4j.model.chat.request.ResponseFormat
jsonSchema(JsonSchema) - Method in class dev.langchain4j.model.chat.request.ResponseFormat.Builder
JsonSchema - Class in dev.langchain4j.model.chat.request.json
JsonSchema(JsonSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonSchema
JsonSchema.Builder - Class in dev.langchain4j.model.chat.request.json
jsonSchemaElement - Variable in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper.VisitedClassMetadata
JsonSchemaElement - Interface in dev.langchain4j.model.chat.request.json: A base interface for a JSON schema element.
jsonSchemaElementFrom(Class<?>) - Static method in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper
jsonSchemaElementFrom(Class<?>, Type, String, Map<Class<?>, JsonSchemaElementHelper.VisitedClassMetadata>) - Static method in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper
JsonSchemaElementHelper - Class in dev.langchain4j.model.chat.request.json
JsonSchemaElementHelper() - Constructor for class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper
JsonSchemaElementHelper.VisitedClassMetadata - Class in dev.langchain4j.model.chat.request.json
jsonSchemaFrom(Type) - Static method in class dev.langchain4j.service.output.JsonSchemas
JsonSchemaProperty - Class in dev.langchain4j.agent.tool: Deprecated, for removal: This API element is subject to removal in a future version.
please use the new JsonSchemaElement API instead to define the schema for tool parameters
JsonSchemaProperty(String, Object) - Constructor for class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use the new JsonSchemaElement API instead to define the schema for tool parameters
JsonSchemas - Class in dev.langchain4j.service.output
JsonSchemas() - Constructor for class dev.langchain4j.service.output.JsonSchemas
JsonStringSchema - Class in dev.langchain4j.model.chat.request.json
JsonStringSchema() - Constructor for class dev.langchain4j.model.chat.request.json.JsonStringSchema
JsonStringSchema(JsonStringSchema.Builder) - Constructor for class dev.langchain4j.model.chat.request.json.JsonStringSchema
JsonStringSchema.Builder - Class in dev.langchain4j.model.chat.request.json
Judge0JavaScriptExecutionTool - Class in dev.langchain4j.code.judge0: A tool that executes JS code using the Judge0 service, hosted by Rapid API.
Judge0JavaScriptExecutionTool(String) - Constructor for class dev.langchain4j.code.judge0.Judge0JavaScriptExecutionTool: Constructs a new instance with the provided Rapid API key.
Judge0JavaScriptExecutionTool(String, boolean, Duration) - Constructor for class dev.langchain4j.code.judge0.Judge0JavaScriptExecutionTool: Constructs a new instance with the provided Rapid API key, a flag to control whether to fix the code, and a timeout.

K

key() - Method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated.

Get the key.
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo
key() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn
key() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch
key() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase
KEY_ATTRIBUTES_BLOB - Static variable in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore: Saving the text chunk as an attribut.
KEY_SIMILARITY - Static variable in class dev.langchain4j.store.embedding.astradb.AstraDbEmbeddingStore: Metadata used for similarity.
keyspace - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
keyspace - Variable in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
keyspace(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
keyspace(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
keyspace(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
keyspace(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra
kind(String) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
knownDimension() - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel
knownDimension() - Method in class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel: When known (e.g., can be derived from the model name), returns the dimension of the Embedding produced by this embedding model.
knownDimension() - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel
knownDimension() - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel
knownDimension() - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel
knownDimension() - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel
knownDimension(String) - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName
knownDimension(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName
knownDimension(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName
knownDimension(String) - Static method in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName

L

label() - Method in record class dev.langchain4j.classification.ScoredLabel: Returns the value of the label record component.
LambdaStreamingResponseHandler<T> - Class in dev.langchain4j.model: Utility class with lambda-based streaming response handlers.
LambdaStreamingResponseHandler() - Constructor for class dev.langchain4j.model.LambdaStreamingResponseHandler
LANDSCAPE - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio
LANDSCAPE - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle
LangChainInfinispanItem - Record Class in dev.langchain4j.store.embedding.infinispan: Langchain item that is serialized for the langchain integration use case
LangChainInfinispanItem(String, float[], String, Set<LangChainMetadata>) - Constructor for record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Creates an instance of a LangChainInfinispanItem record class.
langchainItemFullType() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Get the full name of the langchainItem protobuf type
LangChainItemMarshaller - Class in dev.langchain4j.store.embedding.infinispan: Marshaller to read and write embeddings to Infinispan
LangChainItemMarshaller(String) - Constructor for class dev.langchain4j.store.embedding.infinispan.LangChainItemMarshaller: Constructor for the LangChainItemMarshaller Marshaller
langchainItemName() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the langchainItemName record component.
langchainItemName(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan schema langchainItemName
LangChainMetadata - Record Class in dev.langchain4j.store.embedding.infinispan: Langchain Metadata item that is serialized for the langchain integration use case
LangChainMetadata(String, String) - Constructor for record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata: Creates an instance of a LangChainMetadata record class.
LangChainMetadataMarshaller - Class in dev.langchain4j.store.embedding.infinispan: Marshaller to read and write metadata to Infinispan
LangChainMetadataMarshaller(String) - Constructor for class dev.langchain4j.store.embedding.infinispan.LangChainMetadataMarshaller: Constructor for the LangChainMetadata Marshaller
LangchainSchemaCreator - Class in dev.langchain4j.store.embedding.infinispan: LangchainSchemaCreator for Infinispan
LangchainSchemaCreator() - Constructor for class dev.langchain4j.store.embedding.infinispan.LangchainSchemaCreator
language() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the desired language for search results.
language(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
language(String) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the desired language for search results.
LanguageModel - Interface in dev.langchain4j.model.language: Represents a language model that has a simple text interface (as opposed to a chat interface).
LanguageModelQueryRouter - Class in dev.langchain4j.rag.query.router: A QueryRouter that utilizes a ChatLanguageModel to make a routing decision.
LanguageModelQueryRouter(ChatLanguageModel, Map<ContentRetriever, String>) - Constructor for class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
LanguageModelQueryRouter(ChatLanguageModel, Map<ContentRetriever, String>, PromptTemplate, LanguageModelQueryRouter.FallbackStrategy) - Constructor for class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
LanguageModelQueryRouter.FallbackStrategy - Enum Class in dev.langchain4j.rag.query.router: Strategy applied if the call to the LLM fails of if LLM does not return a valid response.
LanguageModelQueryRouter.LanguageModelQueryRouterBuilder - Class in dev.langchain4j.rag.query.router
LanguageModelSqlFilterBuilder - Class in dev.langchain4j.store.embedding.filter.builder.sql: Given a natural language Query, this class creates a suitable Filter using a language model.
LanguageModelSqlFilterBuilder(ChatLanguageModel, TableDefinition) - Constructor for class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
left() - Method in class dev.langchain4j.store.embedding.filter.logical.And
left() - Method in class dev.langchain4j.store.embedding.filter.logical.Or
LENGTH - Enum constant in enum class dev.langchain4j.model.output.FinishReason: The call finished because the token length was reached.
license(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
LineArt - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
listenerErrorResponse(Throwable, ChatModelRequest, Map<Object, Object>) - Method in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
listeners - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
listeners - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
listeners - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
listeners(List<ChatModelListener>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
listModels() - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
listModels() - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
LLAMA_2_13B_CHAT_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Llama 2 13B Chat AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Llama 2 variant.
LLAMA_2_13B_CHAT_AWQ_DUPLICATE - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Quantized (int4) generative text model with 8 billion parameters from Meta.
LLAMA_2_7B_CHAT_HF_LORA - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters.
LLAMA_3_8B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Generation over generation, Meta Llama 3 demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.
LLAMA2_7B_FULL - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Full precision (fp16) generative text model with 7 billion parameters from Met.
LLAMA2_7B_QUANTIZED - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Quantized (int8) generative text model with 7 billion parameters from Meta.
LLAMAGUARD_7B_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Llama Guard is a model for classifying the safety of LLM prompts and responses, using a taxonomy of safety risks.
load(DocumentSource, DocumentParser) - Static method in class dev.langchain4j.data.document.DocumentLoader: Loads a document from the given source using the given parser.
load(String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader: Loads a document from the specified URL.
load(String, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.UrlDocumentLoader: Loads a document from the specified URL.
load(URL, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.UrlDocumentLoader: Loads a document from the specified URL.
loadDocument(String) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads a Document from the specified file path.
loadDocument(String, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads a Document from the specified file path.
loadDocument(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader: Loads a single document from the specified S3 bucket based on the specified object key.
loadDocument(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.azure.storage.blob.AzureBlobStorageDocumentLoader
loadDocument(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader: Loads a single document from the specified Google Cloud Storage bucket based on the specified object key.
loadDocument(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader: Loads a single document from the specified COS bucket based on the specified object key.
loadDocument(String, String, String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
loadDocument(Path) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads a Document from the specified file Path.
loadDocument(Path, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads a Document from the specified file Path.
loadDocuments(String) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads Documents from the specified directory.
loadDocuments(String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader: Loads all documents from an S3 bucket.
loadDocuments(String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.azure.storage.blob.AzureBlobStorageDocumentLoader
loadDocuments(String, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads Documents from the specified directory.
loadDocuments(String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader: Loads all documents from an GCS bucket.
loadDocuments(String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader: Loads all documents from an COS bucket.
loadDocuments(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader: Loads all documents from an S3 bucket.
loadDocuments(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader: Load a list of documents from the specified bucket, filtered with a glob pattern.
loadDocuments(String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader: Loads all documents from an COS bucket.
loadDocuments(String, String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
loadDocuments(String, String, String, String, DocumentParser) - Method in class dev.langchain4j.data.document.loader.github.GitHubDocumentLoader
loadDocuments(String, PathMatcher) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads matching Documents from the specified directory.
loadDocuments(String, PathMatcher, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads matching Documents from the specified directory.
loadDocuments(Path) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads Documents from the specified directory.
loadDocuments(Path, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads Documents from the specified directory.
loadDocuments(Path, PathMatcher) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads matching Documents from the specified directory.
loadDocuments(Path, PathMatcher, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Loads matching Documents from the specified directory.
loadDocumentsRecursively(String) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(String, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(String, PathMatcher) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads matching Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(String, PathMatcher, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads matching Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(Path) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(Path, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(Path, PathMatcher) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads matching Documents from the specified directory and its subdirectories.
loadDocumentsRecursively(Path, PathMatcher, DocumentParser) - Static method in class dev.langchain4j.data.document.loader.FileSystemDocumentLoader: Recursively loads matching Documents from the specified directory and its subdirectories.
loadFactories(Class<T>) - Static method in class dev.langchain4j.spi.ServiceHelper: Load all the services of a given type.
loadFactories(Class<T>, ClassLoader) - Static method in class dev.langchain4j.spi.ServiceHelper: Load all the services of a given type.
LocalAiChatModel - Class in dev.langchain4j.model.localai: See LocalAI documentation for more details.
LocalAiChatModel(String, String, Double, Double, Integer, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.localai.LocalAiChatModel
LocalAiChatModel.LocalAiChatModelBuilder - Class in dev.langchain4j.model.localai
LocalAiChatModelBuilder() - Constructor for class dev.langchain4j.model.localai.LocalAiChatModel.LocalAiChatModelBuilder
LocalAiChatModelBuilderFactory - Interface in dev.langchain4j.model.localai.spi: A factory for building LocalAiChatModel.LocalAiChatModelBuilder instances.
LocalAiEmbeddingModel - Class in dev.langchain4j.model.localai: See LocalAI documentation for more details.
LocalAiEmbeddingModel(String, String, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.localai.LocalAiEmbeddingModel
LocalAiEmbeddingModel.LocalAiEmbeddingModelBuilder - Class in dev.langchain4j.model.localai
LocalAiEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.localai.LocalAiEmbeddingModel.LocalAiEmbeddingModelBuilder
LocalAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.localai.spi: A factory for building LocalAiEmbeddingModel.LocalAiEmbeddingModelBuilder instances.
LocalAiLanguageModel - Class in dev.langchain4j.model.localai: See LocalAI documentation for more details.
LocalAiLanguageModel(String, String, Double, Double, Integer, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.localai.LocalAiLanguageModel
LocalAiLanguageModel.LocalAiLanguageModelBuilder - Class in dev.langchain4j.model.localai
LocalAiLanguageModelBuilder() - Constructor for class dev.langchain4j.model.localai.LocalAiLanguageModel.LocalAiLanguageModelBuilder
LocalAiLanguageModelBuilderFactory - Interface in dev.langchain4j.model.localai.spi: A factory for building LocalAiLanguageModel.LocalAiLanguageModelBuilder instances.
LocalAiStreamingChatModel - Class in dev.langchain4j.model.localai: See LocalAI documentation for more details.
LocalAiStreamingChatModel(String, String, Double, Double, Integer, Duration, Boolean, Boolean) - Constructor for class dev.langchain4j.model.localai.LocalAiStreamingChatModel
LocalAiStreamingChatModel.LocalAiStreamingChatModelBuilder - Class in dev.langchain4j.model.localai
LocalAiStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.localai.LocalAiStreamingChatModel.LocalAiStreamingChatModelBuilder
LocalAiStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.localai.spi: A factory for building LocalAiStreamingChatModel.LocalAiStreamingChatModelBuilder instances.
LocalAiStreamingLanguageModel - Class in dev.langchain4j.model.localai: See LocalAI documentation for more details.
LocalAiStreamingLanguageModel(String, String, Double, Double, Integer, Duration, Boolean, Boolean) - Constructor for class dev.langchain4j.model.localai.LocalAiStreamingLanguageModel
LocalAiStreamingLanguageModel.LocalAiStreamingLanguageModelBuilder - Class in dev.langchain4j.model.localai
LocalAiStreamingLanguageModelBuilder() - Constructor for class dev.langchain4j.model.localai.LocalAiStreamingLanguageModel.LocalAiStreamingLanguageModelBuilder
LocalAiStreamingLanguageModelBuilderFactory - Interface in dev.langchain4j.model.localai.spi: A factory for building LocalAiStreamingLanguageModel.LocalAiStreamingLanguageModelBuilder instances.
localDataCenter(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
localDataCenter(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
location(String) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
location(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
location(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
location(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
location(String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
logitBias(Map<String, Integer>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
logprobs(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
logprobs(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
logRequests - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logRequests - Variable in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logRequests - Variable in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logRequests() - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logRequests() - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logRequests() - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logRequests(boolean) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
logRequests(Boolean) - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
logRequests(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
logRequestsAndResponses(boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
logRequestsAndResponses(boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
logRequestsAndResponses(boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
logRequestsAndResponses(boolean) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
logRequestsAndResponses(boolean) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
logRequestsAndResponses(Boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
logRequestsAndResponses(Boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
logRequestsAndResponses(Boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
logRequestsAndResponses(Boolean) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
logResponses - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logResponses - Variable in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logResponses - Variable in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logResponses() - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logResponses() - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logResponses() - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logResponses(boolean) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
logResponses(Boolean) - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
logResponses(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
LOW - Enum constant in enum class dev.langchain4j.data.message.ImageContent.DetailLevel: Low detail.
LowPoly - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

M

m(Integer) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
map(Filter) - Method in interface dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchFilterMapper
map(Filter) - Method in class dev.langchain4j.rag.content.retriever.azure.search.DefaultAzureAiSearchFilterMapper
mapFilterToQuery(Filter) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
matches() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchResult
maxAttempts(int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy.Builder: Sets the default maximum number of attempts.
maxCompletionTokens(Integer) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
maxCompletionTokens(Integer) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
maxMessages(Integer) - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory.Builder
maxNewTokens(Integer) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
maxNewTokens(Integer) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
maxNewTokens(Integer) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
maxOutputTokens - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
maxOutputTokens - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
maxOutputTokens(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
maxOutputTokens(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
maxOverlapSize - Variable in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter
maxResultRatio(Long) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore.Builder
maxResults() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
maxResults() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the maximum number of results.
maxResults(int) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the maximum number of Contents to retrieve.
maxResults(Integer) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder
maxResults(Integer) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
maxResults(Integer) - Method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever.WebSearchContentRetrieverBuilder
maxResults(Integer) - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder
maxResults(Integer) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the maximum number of results.
maxRetries - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
maxRetries - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
maxRetries - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
maxRetries(int) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
maxRetries(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
maxRetries(Integer) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder
maxSegmentSize - Variable in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter
maxSegmentsPerBatch(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
maxSegmentsPerBatch(Integer) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder
maxTime(Double) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
maxTokens - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
maxTokens - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
maxTokens() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest
maxTokens(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder
maxTokens(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
maxTokens(Integer) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
maxTokens(Integer) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
maxTokens(Integer, Tokenizer) - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory.Builder
maxTokensPerBatch(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
mediaType - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContentSource
MemoryId - Annotation Interface in dev.langchain4j.service: The value of a method parameter annotated with @MemoryId will be used to find the memory belonging to that user/conversation.
merge(InMemoryEmbeddingStore<Embedded>, InMemoryEmbeddingStore<Embedded>) - Static method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore: Merges given InMemoryEmbeddingStores into a single InMemoryEmbeddingStore, copying all entries from each store.
merge(Collection<InMemoryEmbeddingStore<Embedded>>) - Static method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore: Merges given InMemoryEmbeddingStores into a single InMemoryEmbeddingStore, copying all entries from each store.
message - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData
Message() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.Message: Default constructor.
messageClass() - Method in enum class dev.langchain4j.data.message.ChatMessageType: Returns the class of the message type.
messageFromJson(String) - Static method in class dev.langchain4j.data.message.ChatMessageDeserializer: Deserializes a JSON string into a ChatMessage.
messageFromJson(String) - Method in interface dev.langchain4j.data.message.ChatMessageJsonCodec: Deserializes a JSON string to a ChatMessage object.
messageFromJson(String) - Method in class dev.langchain4j.data.message.GsonChatMessageJsonCodec
messages - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
messages() - Method in class dev.langchain4j.memory.chat.MessageWindowChatMemory
messages() - Method in class dev.langchain4j.memory.chat.TokenWindowChatMemory
messages() - Method in interface dev.langchain4j.memory.ChatMemory: Retrieves messages from the chat memory.
messages() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest
messages() - Method in class dev.langchain4j.model.chat.request.ChatRequest
messages(ChatMessage...) - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder
messages(List<ChatMessage>) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder
messages(List<ChatMessage>) - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder
MessageSanitizer - Class in dev.langchain4j.model.anthropic.internal.sanitizer: Sanitizes the messages to conform to the format expected by the Anthropic API.
MessageSanitizer() - Constructor for class dev.langchain4j.model.anthropic.internal.sanitizer.MessageSanitizer
messagesFromJson(String) - Static method in class dev.langchain4j.data.message.ChatMessageDeserializer: Deserializes a JSON string into a list of ChatMessage.
messagesFromJson(String) - Method in interface dev.langchain4j.data.message.ChatMessageJsonCodec: Deserializes a JSON string to a list of ChatMessage objects.
messagesFromJson(String) - Method in class dev.langchain4j.data.message.GsonChatMessageJsonCodec
messagesToJson(List<ChatMessage>) - Method in interface dev.langchain4j.data.message.ChatMessageJsonCodec: Serializes a list of ChatMessage objects to a JSON string.
messagesToJson(List<ChatMessage>) - Static method in class dev.langchain4j.data.message.ChatMessageSerializer: Serializes a list of chat messages into a JSON string.
messagesToJson(List<ChatMessage>) - Method in class dev.langchain4j.data.message.GsonChatMessageJsonCodec
messageToJson(ChatMessage) - Method in interface dev.langchain4j.data.message.ChatMessageJsonCodec: Serializes a ChatMessage object to a JSON string.
messageToJson(ChatMessage) - Static method in class dev.langchain4j.data.message.ChatMessageSerializer: Serializes a chat message into a JSON string.
messageToJson(ChatMessage) - Method in class dev.langchain4j.data.message.GsonChatMessageJsonCodec
MessageWindowChatMemory - Class in dev.langchain4j.memory.chat: This chat memory operates as a sliding window of MessageWindowChatMemory.maxMessages messages.
MessageWindowChatMemory.Builder - Class in dev.langchain4j.memory.chat
META_LLAMA_3_1_405B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
META_LLAMA_3_1_70B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
META_LLAMA_3_1_8B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
META_LLAMA_3_70B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
META_LLAMA_3_8B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
META_LLAMA_3_8B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Quantized (int4) generative text model with 8 billion parameters from Meta.
META_LLAMA3_1_70B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_1_8B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_2_11B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_2_1B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_2_3B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_2_90B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_70B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
META_LLAMA3_8B_INSTRUCT_V1_0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types
metadata() - Method in class dev.langchain4j.data.document.Document: Returns the metadata associated with this document.
metadata() - Method in interface dev.langchain4j.data.document.DocumentSource: Returns the metadata associated with the source of the document.
metadata() - Method in class dev.langchain4j.data.document.source.amazon.s3.AmazonS3Source
metadata() - Method in class dev.langchain4j.data.document.source.azure.storage.blob.AzureBlobStorageSource
metadata() - Method in class dev.langchain4j.data.document.source.FileSystemSource
metadata() - Method in class dev.langchain4j.data.document.source.gcs.GcsSource
metadata() - Method in class dev.langchain4j.data.document.source.github.GitHubSource
metadata() - Method in class dev.langchain4j.data.document.source.tencent.cos.TencentCosSource
metadata() - Method in class dev.langchain4j.data.document.source.UrlSource
metadata() - Method in class dev.langchain4j.data.segment.TextSegment: Returns the metadata.
metadata() - Method in class dev.langchain4j.model.output.Response: Get the response metadata.
metadata() - Method in class dev.langchain4j.rag.AugmentationRequest
metadata() - Method in class dev.langchain4j.rag.query.Query
metadata() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem: Returns the value of the metadata record component.
metadata() - Method in class dev.langchain4j.web.search.WebSearchInformationResult: Gets the metadata.
metadata() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult: Returns the result metadata associated with the search result.
metadata(String) - Method in class dev.langchain4j.data.document.Document: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use Document.metadata() and then Metadata.getString(String), Metadata.getInteger(String), Metadata.getLong(String), Metadata.getFloat(String), Metadata.getDouble(String) instead.
metadata(String) - Method in class dev.langchain4j.data.segment.TextSegment: Deprecated, for removal: This API element is subject to removal in a future version.
as of 0.31.0, use TextSegment.metadata() and then Metadata.getString(String), Metadata.getInteger(String), Metadata.getLong(String), Metadata.getFloat(String), Metadata.getDouble(String) instead.
metadata(String, Object) - Static method in class dev.langchain4j.data.document.Metadata: Deprecated, for removal: This API element is subject to removal in a future version.
Use Metadata.metadata(String, String) instead
metadata(String, String) - Static method in class dev.langchain4j.data.document.Metadata: Constructs a Metadata object from a single key-value pair.
metadata(Map<String, Object>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder
Metadata - Class in dev.langchain4j.data.document: Represents metadata of a Document or a TextSegment.
Metadata - Class in dev.langchain4j.rag.query: Represents metadata that may be useful or necessary for retrieval or augmentation purposes.
Metadata() - Constructor for class dev.langchain4j.data.document.Metadata: Construct a Metadata object with an empty map of key-value pairs.
Metadata() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document.Metadata
Metadata(UserMessage, Object, List<ChatMessage>) - Constructor for class dev.langchain4j.rag.query.Metadata
Metadata(Map<String, ?>) - Constructor for class dev.langchain4j.data.document.Metadata: Constructs a Metadata object from a map of key-value pairs.
MetadataColumDefinition - Class in dev.langchain4j.store.embedding.pgvector: MetadataColumDefinition used to define column definition from sql String
metadataColumn() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable: Returns the name of this table's metadata column.
metadataColumn(String) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Configures the name of a column which stores metadata.
metadataFieldName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
metadataFieldNames(Set<String>) - Method in class dev.langchain4j.store.embedding.mongodb.IndexMapping.Builder
metadataFieldsName(Collection<String>) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder: Deprecated.
use RedisEmbeddingStore.Builder.metadataKeys(Collection) instead
MetadataFilterBuilder - Class in dev.langchain4j.store.embedding.filter: A helper class for building a Filter for Metadata key.
MetadataFilterBuilder(String) - Constructor for class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
metadataFullType() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Get the full name of the metadata protobuf type
metadataItemName() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the metadataItemName record component.
metadataItemName(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan schema metadataItemName
metadataKey(String) - Static method in class dev.langchain4j.store.embedding.filter.MetadataFilterBuilder
metadataKeys(Collection<String>) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
metadataKeysToInclude(List<String>) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector.DefaultContentInjectorBuilder
MetadataStorageConfig - Interface in dev.langchain4j.store.embedding.pgvector: Metadata configuration.
MetadataStorageMode - Enum Class in dev.langchain4j.store.embedding.pgvector: Metadata storage mode COLUMN_PER_KEY: for static metadata, when you know in advance the list of metadata COMBINED_JSON: For dynamic metadata, when you don't know the list of metadata that will be used.
metadataTextKey(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
metric - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
metric(CassandraSimilarityMetric) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
metric(CassandraSimilarityMetric) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra
metricType(MetricType) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
milvusClient(MilvusServiceClient) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
MilvusEmbeddingStore - Class in dev.langchain4j.store.embedding.milvus: Represents an Milvus index as an embedding store.
MilvusEmbeddingStore(MilvusServiceClient, String, Integer, IndexType, MetricType, ConsistencyLevelEnum, Boolean, Boolean, String, String, String, String) - Constructor for class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore
MilvusEmbeddingStore(String, Integer, String, Integer, IndexType, MetricType, String, String, String, String, ConsistencyLevelEnum, Boolean, Boolean, String, String, String, String, String) - Constructor for class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore
MilvusEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.milvus
mimeType() - Method in class dev.langchain4j.data.audio.Audio: Get the mime type of the audio.
mimeType() - Method in class dev.langchain4j.data.image.Image: Get the mime type of the image.
mimeType() - Method in class dev.langchain4j.data.text.TextFile: Get the mime type of the text file.
mimeType() - Method in class dev.langchain4j.data.video.Video: Get the mime type of the video.
mimeType(VertexAiImageModel.MimeType) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
mimeType(String) - Method in class dev.langchain4j.data.audio.Audio.Builder: Set the mime type of the audio.
mimeType(String) - Method in class dev.langchain4j.data.image.Image.Builder: Set the mime type of the image.
mimeType(String) - Method in class dev.langchain4j.data.text.TextFile.Builder: Set the mime type of the text document.
mimeType(String) - Method in class dev.langchain4j.data.video.Video.Builder: Set the mime type of the video.
minScore() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
minScore(double) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the minimum relevance score for the returned Contents.
minScore(Double) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder
minScore(Double) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder
minScore(Double) - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder
MISTRAL_7B_INSTRUCT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: DeepSeekMath-Instruct 7B is a mathematically instructed tuning model derived from DeepSeekMath-Base 7B.
MISTRAL_7B_INSTRUCT_V0_1_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Mistral 7B Instruct v0.1 AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Mistral variant.
MISTRAL_7B_INSTRUCT_V0_2 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
MISTRAL_7B_INSTRUCT_V0_2_LORA - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
MISTRAL_EMBED - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiEmbeddingModelName: The MISTRAL_EMBED model.
MISTRAL_LARGE - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
MISTRAL_LARGE_2407 - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
MISTRAL_LARGE_LATEST - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
MISTRAL_MEDIUM - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName: Deprecated, for removal: This API element is subject to removal in a future version.
As of release 0.29.0, replaced by MistralAiChatModelName.MISTRAL_MEDIUM_LATEST
MISTRAL_MEDIUM_LATEST - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
MISTRAL_MODERATION_LATEST - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
MISTRAL_NEMO - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
MISTRAL_SMALL - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName
MISTRAL_SMALL - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName: Deprecated, for removal: This API element is subject to removal in a future version.
As of release 0.29.0, replaced by MistralAiChatModelName.MISTRAL_SMALL_LATEST
MISTRAL_SMALL_LATEST - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
MISTRAL_TINY - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName: Deprecated, for removal: This API element is subject to removal in a future version.
As of release 0.29.0, replaced by MistralAiChatModelName.OPEN_MISTRAL_7B
Mistral7bInstructV0_2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel.Types
MistralAiApi - Interface in dev.langchain4j.model.mistralai.internal.api
MistralAiChatCompletionChoice - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiChatCompletionChoice() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiChatCompletionChoice
MistralAiChatCompletionRequest - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiChatCompletionRequest() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiChatCompletionRequest
MistralAiChatCompletionResponse - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiChatCompletionResponse() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiChatCompletionResponse
MistralAiChatMessage - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiChatMessage() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiChatMessage
MistralAiChatModel - Class in dev.langchain4j.model.mistralai: Represents a Mistral AI Chat Model with a chat completion interface, such as open-mistral-7b and open-mixtral-8x7b This model allows generating chat completion of a sync way based on a list of chat messages.
MistralAiChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, String, Duration, Boolean, Boolean, Integer) - Constructor for class dev.langchain4j.model.mistralai.MistralAiChatModel: Constructs a MistralAiChatModel with the specified parameters.
MistralAiChatModel.MistralAiChatModelBuilder - Class in dev.langchain4j.model.mistralai
MistralAiChatModelBuilder() - Constructor for class dev.langchain4j.model.mistralai.MistralAiChatModel.MistralAiChatModelBuilder
MistralAiChatModelBuilderFactory - Interface in dev.langchain4j.model.mistralai.spi: A factory for building MistralAiChatModel.MistralAiChatModelBuilder instances.
MistralAiChatModelName - Enum Class in dev.langchain4j.model.mistralai: Represents the available chat completion models for Mistral AI.
MistralAiClient - Class in dev.langchain4j.model.mistralai.internal.client
MistralAiClient() - Constructor for class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
MistralAiClient.Builder<T,B> - Class in dev.langchain4j.model.mistralai.internal.client
MistralAiClientBuilderFactory - Interface in dev.langchain4j.model.mistralai.internal.client
MistralAiDeltaMessage - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiDeltaMessage() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiDeltaMessage
MistralAiEmbedding - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiEmbedding() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiEmbedding
MistralAiEmbeddingModel - Class in dev.langchain4j.model.mistralai: Represents a Mistral AI embedding model, such as mistral-embed.
MistralAiEmbeddingModel(String, String, String, Duration, Boolean, Boolean, Integer) - Constructor for class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel: Constructs a new MistralAiEmbeddingModel instance.
MistralAiEmbeddingModel.MistralAiEmbeddingModelBuilder - Class in dev.langchain4j.model.mistralai
MistralAiEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel.MistralAiEmbeddingModelBuilder
MistralAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.mistralai.spi: A factory for building MistralAiEmbeddingModel.MistralAiEmbeddingModelBuilder instances.
MistralAiEmbeddingModelName - Enum Class in dev.langchain4j.model.mistralai: The MistralAiEmbeddingModelName enum represents the available embedding models in the Mistral AI module.
MistralAiEmbeddingRequest - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiEmbeddingRequest() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiEmbeddingRequest
MistralAiEmbeddingResponse - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiEmbeddingResponse() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiEmbeddingResponse
MistralAiFunction - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiFunction() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiFunction
MistralAiFunctionCall - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiFunctionCall() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiFunctionCall
MistralAiMapper - Class in dev.langchain4j.model.mistralai.internal.mapper
MistralAiMapper() - Constructor for class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper
MistralAiModelCard - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiModelCard() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiModelCard
MistralAiModelPermission - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiModelPermission() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiModelPermission
MistralAiModelResponse - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiModelResponse() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiModelResponse
MistralAiModels - Class in dev.langchain4j.model.mistralai: Represents a collection of Mistral AI models.
MistralAiModels(String, String, Duration, Boolean, Boolean, Integer) - Constructor for class dev.langchain4j.model.mistralai.MistralAiModels: Constructs a new instance of MistralAiModels.
MistralAiModels.MistralAiModelsBuilder - Class in dev.langchain4j.model.mistralai
MistralAiModelsBuilder() - Constructor for class dev.langchain4j.model.mistralai.MistralAiModels.MistralAiModelsBuilder
MistralAiModelsBuilderFactory - Interface in dev.langchain4j.model.mistralai.spi: A factory for building MistralAiModels.MistralAiModelsBuilder instances.
MistralAiModerationModel - Class in dev.langchain4j.model.mistralai
MistralAiModerationModel(String, String, Duration, Integer, String, Boolean, Boolean) - Constructor for class dev.langchain4j.model.mistralai.MistralAiModerationModel
MistralAiModerationModel.Builder - Class in dev.langchain4j.model.mistralai
MistralAiModerationRequest - Record Class in dev.langchain4j.model.mistralai.internal.api
MistralAiModerationRequest(String, List<String>) - Constructor for record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest: Creates an instance of a MistralAiModerationRequest record class.
MistralAiModerationResponse - Record Class in dev.langchain4j.model.mistralai.internal.api
MistralAiModerationResponse(String, String, List<MistralModerationResult>) - Constructor for record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Creates an instance of a MistralAiModerationResponse record class.
MistralAiParameters - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiParameters() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiParameters
MistralAiResponseFormat - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiResponseFormat() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormat
MistralAiResponseFormatType - Enum Class in dev.langchain4j.model.mistralai.internal.api: Represents the value of the 'type' field in the response_format parameter of the MistralAi Chat completions request.
MistralAiRole - Enum Class in dev.langchain4j.model.mistralai.internal.api
MistralAiStreamingChatModel - Class in dev.langchain4j.model.mistralai: Represents a Mistral AI Chat Model with a chat completion interface, such as mistral-tiny and mistral-small.
MistralAiStreamingChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, String, Boolean, Boolean, Duration) - Constructor for class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel: Constructs a MistralAiStreamingChatModel with the specified parameters.
MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder - Class in dev.langchain4j.model.mistralai
MistralAiStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder
MistralAiStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.mistralai.spi: A factory for building MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder instances.
MistralAiTool - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiTool() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiTool
MistralAiToolCall - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiToolCall() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiToolCall
MistralAiToolChoiceName - Enum Class in dev.langchain4j.model.mistralai.internal.api
MistralAiToolType - Enum Class in dev.langchain4j.model.mistralai.internal.api
MistralAiUsage - Class in dev.langchain4j.model.mistralai.internal.api
MistralAiUsage() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralAiUsage
MistralCategories - Class in dev.langchain4j.model.mistralai.internal.api
MistralCategories() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralCategories
MistralCategoryScores - Class in dev.langchain4j.model.mistralai.internal.api
MistralCategoryScores() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
MistralMixtral8x7bInstructV0_1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel.Types
MistralModerationResult - Class in dev.langchain4j.model.mistralai.internal.api
MistralModerationResult() - Constructor for class dev.langchain4j.model.mistralai.internal.api.MistralModerationResult
model - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
model - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
model - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
model - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbeddingRequest
model - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbeddingResponse
model - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingRequest
model - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResponse
model() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest
model() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse
model() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest: Returns the value of the model record component.
model() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Returns the value of the model record component.
model() - Method in class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
model(String) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder
model(String) - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder
model(String) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
model(String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder
modelCard(OllamaModel) - Method in class dev.langchain4j.model.ollama.OllamaModels
modelCard(String) - Method in class dev.langchain4j.model.ollama.OllamaModels
ModelDisabledException - Exception Class in dev.langchain4j.model: An exception thrown by a model that could be disabled by a user.
ModelDisabledException(String) - Constructor for exception class dev.langchain4j.model.ModelDisabledException
modelfile(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
modelId() - Method in interface dev.langchain4j.model.huggingface.spi.HuggingFaceClientFactory.Input
modelId(String) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
modelId(String) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
modelInfo(Map<String, Object>) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
ModelingCompound - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
modelName - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
modelName - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
modelName - Variable in class dev.langchain4j.model.workersai.client.AbstractWorkersAIModel: ModelName, preferred as enum for extensibility.
modelName - Variable in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder: ModelName, preferred as enum for extensibility.
modelName - Variable in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder: ModelName, preferred as enum for extensibility.
modelName - Variable in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder: ModelName, preferred as enum for extensibility.
modelName - Variable in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder: ModelName, preferred as enum for extensibility.
modelName() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
modelName() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName
modelName() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName
modelName() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName
modelName() - Method in class dev.langchain4j.model.openai.OpenAiChatModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiImageModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiModerationModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel
modelName() - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel
modelName(AnthropicChatModelName) - Method in class dev.langchain4j.model.anthropic.AnthropicChatModel.AnthropicChatModelBuilder
modelName(AnthropicChatModelName) - Method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel.AnthropicStreamingChatModelBuilder
modelName(GitHubModelsChatModelName) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
modelName(GitHubModelsChatModelName) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
modelName(GitHubModelsEmbeddingModelName) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
modelName(MistralAiChatModelName) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel.MistralAiChatModelBuilder
modelName(MistralAiChatModelName) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder
modelName(MistralAiEmbeddingModelName) - Method in class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel.MistralAiEmbeddingModelBuilder
modelName(OpenAiChatModelName) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
modelName(OpenAiChatModelName) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
modelName(OpenAiEmbeddingModelName) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
modelName(OpenAiImageModelName) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
modelName(OpenAiLanguageModelName) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
modelName(OpenAiLanguageModelName) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
modelName(OpenAiModerationModelName) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
modelName(VoyageAiEmbeddingModelName) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder: Name of the model.
modelName(VoyageAiScoringModelName) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder: Name of the model.
modelName(String) - Method in class dev.langchain4j.model.anthropic.AnthropicChatModel.AnthropicChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel.AnthropicStreamingChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder: Sets the model name in Azure AI Inference API.
modelName(String) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder: Sets the model name in Azure AI Inference API.
modelName(String) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder: Sets the model name in Azure OpenAI.
modelName(String) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel.MistralAiChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel.MistralAiEmbeddingModelBuilder
modelName(String) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder
modelName(String) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
modelName(String) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
modelName(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
modelName(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
modelName(String) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder
modelName(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
modelName(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
modelName(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder
modelName(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder: Name of the model.
modelName(String) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder: Name of the model.
modelName(String) - Method in class dev.langchain4j.model.workersai.WorkersAiChatModel.Builder: Sets the model name for the Worker AI model builder.
modelName(String) - Method in class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel.Builder: Sets the model name for the Worker AI model builder.
modelName(String) - Method in class dev.langchain4j.model.workersai.WorkersAiImageModel.Builder: Sets the model name for the Worker AI model builder.
modelName(String) - Method in class dev.langchain4j.model.workersai.WorkersAiLanguageModel.Builder: Sets the model name for the Worker AI model builder.
models() - Method in interface dev.langchain4j.model.mistralai.internal.api.MistralAiApi
modelType() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
modelType() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName
modelType() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName
modelType() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName
modelVersion() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName
modelVersion() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName
modelVersion() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName
modelVersion() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName
moderate(ChatMessage) - Method in class dev.langchain4j.model.moderation.DisabledModerationModel
moderate(ChatMessage) - Method in interface dev.langchain4j.model.moderation.ModerationModel: Moderates the given chat message.
moderate(TextSegment) - Method in class dev.langchain4j.model.moderation.DisabledModerationModel
moderate(TextSegment) - Method in interface dev.langchain4j.model.moderation.ModerationModel: Moderates the given text segment.
moderate(Prompt) - Method in class dev.langchain4j.model.moderation.DisabledModerationModel
moderate(Prompt) - Method in interface dev.langchain4j.model.moderation.ModerationModel: Moderates the given prompt.
moderate(String) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel
moderate(String) - Method in class dev.langchain4j.model.moderation.DisabledModerationModel
moderate(String) - Method in interface dev.langchain4j.model.moderation.ModerationModel: Moderates the given text.
moderate(String) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel
moderate(List<ChatMessage>) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel
moderate(List<ChatMessage>) - Method in class dev.langchain4j.model.moderation.DisabledModerationModel
moderate(List<ChatMessage>) - Method in interface dev.langchain4j.model.moderation.ModerationModel: Moderates the given list of chat messages.
moderate(List<ChatMessage>) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel
Moderate - Annotation Interface in dev.langchain4j.service: When a method in the AI Service is annotated with @Moderate, each invocation of this method will call not only the LLM, but also the moderation model (which must be provided during the construction of the AI Service) in parallel.
moderation(MistralAiModerationRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
moderation(MistralAiModerationRequest) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
Moderation - Class in dev.langchain4j.model.moderation: Represents moderation status.
Moderation() - Constructor for class dev.langchain4j.model.moderation.Moderation: Construct a Moderation object that is not flagged.
Moderation(String) - Constructor for class dev.langchain4j.model.moderation.Moderation: Construct a Moderation object that is flagged.
ModerationException - Exception Class in dev.langchain4j.service: Thrown when content moderation fails, i.e., when content is flagged by the moderation model.
ModerationException(String) - Constructor for exception class dev.langchain4j.service.ModerationException
moderationModel - Variable in class dev.langchain4j.service.AiServiceContext
moderationModel(ModerationModel) - Method in class dev.langchain4j.service.AiServices: Configures a moderation model to be used for automatic content moderation.
ModerationModel - Interface in dev.langchain4j.model.moderation: Represents a model that can moderate text.
moderations(MistralAiModerationRequest) - Method in interface dev.langchain4j.model.mistralai.internal.api.MistralAiApi
modifiedAt(OffsetDateTime) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
modifiedAt(OffsetDateTime) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder
mongoClient(MongoClient) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder: Build Mongo Client, Please close the client to release resources after usage.
MongoDbDocument - Class in dev.langchain4j.store.embedding.mongodb
MongoDbDocument() - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
MongoDbDocument(String, List<Float>, String, Map<String, Object>) - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
MongoDbDocument.Builder - Class in dev.langchain4j.store.embedding.mongodb
MongoDbEmbeddingStore - Class in dev.langchain4j.store.embedding.mongodb: Represents a MongoDB indexed collection as an embedding store.
MongoDbEmbeddingStore(MongoClient, String, String, String, Long, CreateCollectionOptions, Bson, IndexMapping, Boolean) - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
MongoDbEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.mongodb
MongoDbMatchedDocument - Class in dev.langchain4j.store.embedding.mongodb
MongoDbMatchedDocument() - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
MongoDbMatchedDocument(String, List<Float>, String, Map<String, String>, Double) - Constructor for class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
MULTIMODALEMBEDDING - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

N

n - Variable in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer
n(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
n(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
n(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
n(Integer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
n(Integer) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer.ExpandingQueryTransformerBuilder
name - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicContent
name - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicTool
name - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolUseContent
name() - Element in annotation interface dev.langchain4j.agent.tool.Tool: Name of the tool.
name() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest: Returns the name of the tool.
name() - Method in class dev.langchain4j.agent.tool.ToolSpecification: Returns the name of the tool.
name() - Method in class dev.langchain4j.data.message.UserMessage: The name of the user.
name() - Method in class dev.langchain4j.model.chat.request.json.JsonSchema
name() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.ColumnDefinition
name() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition
name() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata: Returns the value of the name record component.
name() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable: Returns the name of this table.
name(String) - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest.Builder: Sets the name.
name(String) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder: Sets the name.
name(String) - Method in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoice.Builder
name(String) - Method in class dev.langchain4j.model.chat.request.json.JsonSchema.Builder
name(String) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
name(String) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Set the name of the NamedMap that will hold the document chunks.
name(String) - Method in class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition.Builder
name(String) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder: Configures the name of a table where embeddings are stored and retrieved from.
name(String) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore.Builder: Set the name of the NamedMap that will hold the document chunks.
nameSpace(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder
negativePrompt(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
Neo4jContentRetriever - Class in dev.langchain4j.rag.content.retriever.neo4j: A ContentRetriever that retrieves from an Neo4jGraph.
Neo4jContentRetriever(Neo4jGraph, ChatLanguageModel, PromptTemplate) - Constructor for class dev.langchain4j.rag.content.retriever.neo4j.Neo4jContentRetriever
Neo4jEmbeddingStore - Class in dev.langchain4j.store.embedding.neo4j: Represents a Vector index as an embedding store.
Neo4jEmbeddingStore(SessionConfig, Driver, int, String, String, String, String, String, String, String, String, long) - Constructor for class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore: Creates an instance of Neo4jEmbeddingStore
Neo4jEmbeddingStore.Neo4jEmbeddingStoreBuilder - Class in dev.langchain4j.store.embedding.neo4j: Creates an instance of Neo4jEmbeddingStore defining a Driver starting from uri, user and password
Neo4jEmbeddingStoreBuilder() - Constructor for class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore.Neo4jEmbeddingStoreBuilder
Neo4jException - Exception Class in dev.langchain4j.store.graph.neo4j
Neo4jException(String, Throwable) - Constructor for exception class dev.langchain4j.store.graph.neo4j.Neo4jException
Neo4jGraph - Class in dev.langchain4j.store.graph.neo4j
Neo4jGraph(Driver) - Constructor for class dev.langchain4j.store.graph.neo4j.Neo4jGraph
NeonPunk - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
NEURAL_CHAT_7B_V3_1_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: This model is a fine-tuned 7B parameter LLM on the Intel Gaudi 2 processor from the mistralai/Mistral-7B-v0.1 on the open source dataset Open-Orca/SlimOrca.
NO_CACHE - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheType
NomicEmbeddingModel - Class in dev.langchain4j.model.nomic: An integration with Nomic Atlas's Text Embeddings API.
NomicEmbeddingModel(String, String, String, String, Integer, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.nomic.NomicEmbeddingModel
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
nonAzureApiKey(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder: Used to authenticate with the OpenAI service, instead of Azure OpenAI.
NONE - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.ReturnLikelihood
NONE - Enum constant in enum class dev.langchain4j.model.googleai.GeminiMode
NONE - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolChoiceName
NONE - Enum constant in enum class dev.langchain4j.model.vertexai.ToolCallingMode: Gemini shouldn't request to make any function call
normalize() - Method in class dev.langchain4j.data.embedding.Embedding: Normalize vector
normalizeEmbeddings - Variable in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
normalizeEmbeddings(boolean) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Set whether to force normalization of vectors on adding and searching.
not(Filter) - Static method in interface dev.langchain4j.store.embedding.filter.Filter
Not - Class in dev.langchain4j.store.embedding.filter.logical
Not(Filter) - Constructor for class dev.langchain4j.store.embedding.filter.logical.Not
notFlagged() - Static method in class dev.langchain4j.model.moderation.Moderation: Constructs a Moderation object that is not flagged.
notifyListenersOnError(Exception, ChatModelRequest, ConcurrentHashMap<Object, Object>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
notifyListenersOnError(Exception, ChatModelRequest, ConcurrentHashMap<Object, Object>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
notifyListenersOnRequest(ChatModelRequestContext) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
notifyListenersOnRequest(ChatModelRequestContext) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
notifyListenersOnResponse(Response<AiMessage>, ChatModelRequest, ConcurrentHashMap<Object, Object>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
notifyListenersOnResponse(Response<AiMessage>, ChatModelRequest, ConcurrentHashMap<Object, Object>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
NULL - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
NUMBER - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonNumberSchema() instead
numCandidates(Integer) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchConfigurationKnn.Builder: The number of nearest neighbor candidates to consider per shard while doing knn search.
numCtx(Integer) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
numCtx(Integer) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
numCtx(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
numCtx(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
numLists(Integer) - Method in class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.Builder
numPredict(Integer) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
numPredict(Integer) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
numPredict(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
numPredict(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
numReturnSequences(Integer) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder

O

object - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbedding
OBJECT - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonObjectSchema.builder() instead
objectItems(JsonSchemaProperty) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonObjectSchema instead
of(String, Object) - Static method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel: Create map with single entry
of(String, Object) - Static method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockEmbeddingModel: Create map with single entry
OllamaChatModel - Class in dev.langchain4j.model.ollama: Ollama API reference
Ollama API parameters.
OllamaChatModel(String, String, Double, Integer, Double, Double, Integer, Integer, Integer, List<String>, String, Duration, Integer, Map<String, String>, Boolean, Boolean, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.ollama.OllamaChatModel
OllamaChatModel.OllamaChatModelBuilder - Class in dev.langchain4j.model.ollama
OllamaChatModelBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
OllamaChatModelBuilderFactory - Interface in dev.langchain4j.model.ollama.spi: A factory for building OllamaChatModel.OllamaChatModelBuilder instances.
OllamaEmbeddingModel - Class in dev.langchain4j.model.ollama: Ollama API reference
OllamaEmbeddingModel(String, String, Duration, Integer, Boolean, Boolean, Map<String, String>) - Constructor for class dev.langchain4j.model.ollama.OllamaEmbeddingModel
OllamaEmbeddingModel.OllamaEmbeddingModelBuilder - Class in dev.langchain4j.model.ollama
OllamaEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder
OllamaEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.ollama.spi: A factory for building OllamaEmbeddingModel.OllamaEmbeddingModelBuilder instances.
OllamaLanguageModel - Class in dev.langchain4j.model.ollama: Ollama API reference
Ollama API parameters.
OllamaLanguageModel(String, String, Double, Integer, Double, Double, Integer, Integer, Integer, List<String>, String, Duration, Integer, Boolean, Boolean, Map<String, String>) - Constructor for class dev.langchain4j.model.ollama.OllamaLanguageModel
OllamaLanguageModel.OllamaLanguageModelBuilder - Class in dev.langchain4j.model.ollama
OllamaLanguageModelBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
OllamaLanguageModelBuilderFactory - Interface in dev.langchain4j.model.ollama.spi: A factory for building OllamaLanguageModel.OllamaLanguageModelBuilder instances.
OllamaModel - Class in dev.langchain4j.model.ollama
OllamaModel(String, long, String, OllamaModelDetails, OffsetDateTime, String) - Constructor for class dev.langchain4j.model.ollama.OllamaModel
OllamaModel.Builder - Class in dev.langchain4j.model.ollama
OllamaModelCard - Class in dev.langchain4j.model.ollama
OllamaModelCard(String, String, String, OllamaModelDetails) - Constructor for class dev.langchain4j.model.ollama.OllamaModelCard
OllamaModelCard.Builder - Class in dev.langchain4j.model.ollama
OllamaModelDetails - Class in dev.langchain4j.model.ollama
OllamaModelDetails(String, String, List<String>, String, String) - Constructor for class dev.langchain4j.model.ollama.OllamaModelDetails
OllamaModelDetails.Builder - Class in dev.langchain4j.model.ollama
OllamaModels - Class in dev.langchain4j.model.ollama
OllamaModels(String, Duration, Integer, Boolean, Boolean) - Constructor for class dev.langchain4j.model.ollama.OllamaModels
OllamaModels.OllamaModelsBuilder - Class in dev.langchain4j.model.ollama
OllamaModelsBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder
OllamaStreamingChatModel - Class in dev.langchain4j.model.ollama: Ollama API reference
Ollama API parameters.
OllamaStreamingChatModel(String, String, Double, Integer, Double, Double, Integer, Integer, Integer, List<String>, String, Duration, Boolean, Boolean, Map<String, String>, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.ollama.OllamaStreamingChatModel
OllamaStreamingChatModel.OllamaStreamingChatModelBuilder - Class in dev.langchain4j.model.ollama
OllamaStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
OllamaStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.ollama.spi: A factory for building OllamaStreamingChatModel.OllamaStreamingChatModelBuilder instances.
OllamaStreamingLanguageModel - Class in dev.langchain4j.model.ollama: Ollama API reference
Ollama API parameters.
OllamaStreamingLanguageModel(String, String, Double, Integer, Double, Double, Integer, Integer, Integer, List<String>, String, Duration, Boolean, Boolean, Map<String, String>) - Constructor for class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel
OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder - Class in dev.langchain4j.model.ollama
OllamaStreamingLanguageModelBuilder() - Constructor for class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
OllamaStreamingLanguageModelBuilderFactory - Interface in dev.langchain4j.model.ollama.spi: A factory for building OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder instances.
onComplete(Response<T>) - Method in interface dev.langchain4j.model.StreamingResponseHandler: Invoked when the language model has finished streaming a response.
onComplete(Consumer<Response<AiMessage>>) - Method in class dev.langchain4j.service.AiServiceTokenStream
onComplete(Consumer<Response<AiMessage>>) - Method in interface dev.langchain4j.service.TokenStream: The provided consumer will be invoked when a language model finishes streaming a response.
onError(ChatModelErrorContext) - Method in interface dev.langchain4j.model.chat.listener.ChatModelListener: This method is called when an error occurs during interaction with the model.
onError(Throwable) - Method in interface dev.langchain4j.model.StreamingResponseHandler: This method is invoked when an error occurs during streaming.
onError(Consumer<Throwable>) - Method in class dev.langchain4j.service.AiServiceTokenStream
onError(Consumer<Throwable>) - Method in interface dev.langchain4j.service.TokenStream: The provided consumer will be invoked when an error occurs during streaming.
onNext(String) - Method in interface dev.langchain4j.model.StreamingResponseHandler: Invoked each time the language model generates a new token in a textual response.
onNext(Consumer<String>) - Static method in class dev.langchain4j.model.LambdaStreamingResponseHandler
onNext(Consumer<String>) - Method in class dev.langchain4j.service.AiServiceTokenStream
onNext(Consumer<String>) - Method in interface dev.langchain4j.service.TokenStream: The provided consumer will be invoked every time a new token from a language model is available.
onNextAndError(Consumer<String>, Consumer<Throwable>) - Static method in class dev.langchain4j.model.LambdaStreamingResponseHandler
OnnxScoringModel - Class in dev.langchain4j.model.scoring.onnx
OnnxScoringModel(String, OrtSession.SessionOptions, String) - Constructor for class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
OnnxScoringModel(String, OrtSession.SessionOptions, String, int, boolean) - Constructor for class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
OnnxScoringModel(String, String) - Constructor for class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
OnnxScoringModel(String, String, int) - Constructor for class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
onRequest(ChatModelRequestContext) - Method in interface dev.langchain4j.model.chat.listener.ChatModelListener: This method is called before the request is sent to the model.
onResponse(ChatModelResponseContext) - Method in interface dev.langchain4j.model.chat.listener.ChatModelListener: This method is called after the response is received from the model.
onRetrieved(Consumer<List<Content>>) - Method in class dev.langchain4j.service.AiServiceTokenStream
onRetrieved(Consumer<List<Content>>) - Method in interface dev.langchain4j.service.TokenStream: The provided consumer will be invoked if any Contents are retrieved using RetrievalAugmentor.
onToolExecuted(Consumer<ToolExecution>) - Method in class dev.langchain4j.service.AiServiceTokenStream
onToolExecuted(Consumer<ToolExecution>) - Method in interface dev.langchain4j.service.TokenStream: The provided consumer will be invoked if any tool is executed.
OPEN_MISTRAL_7B - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
OPEN_MIXTRAL_8X22B - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
OPEN_MIXTRAL_8x7B - Enum constant in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName
openAIAsyncClient(OpenAIAsyncClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI client.
OpenAiChatModel - Class in dev.langchain4j.model.openai: Represents an OpenAI language model with a chat completion interface, such as gpt-3.5-turbo and gpt-4.
OpenAiChatModel(String, String, String, String, Double, Double, List<String>, Integer, Integer, Double, Double, Map<String, Integer>, String, Boolean, Integer, String, Boolean, Boolean, Duration, Integer, Proxy, Boolean, Boolean, Tokenizer, Map<String, String>, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.openai.OpenAiChatModel
OpenAiChatModel.OpenAiChatModelBuilder - Class in dev.langchain4j.model.openai
OpenAiChatModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
OpenAiChatModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiChatModel.OpenAiChatModelBuilder instances.
OpenAiChatModelName - Enum Class in dev.langchain4j.model.openai
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI client.
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI client.
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder: Sets the Azure OpenAI client.
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
Please use AzureOpenAiStreamingChatModel.Builder.openAIAsyncClient(OpenAIAsyncClient) instead, if you require response streaming. Please use AzureOpenAiChatModel instead, if you require sync responses.
openAIClient(OpenAIClient) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder: Sets the Azure OpenAI client.
OpenAiEmbeddingModel - Class in dev.langchain4j.model.openai: Represents an OpenAI embedding model, such as text-embedding-ada-002.
OpenAiEmbeddingModel(String, String, String, String, Integer, String, Duration, Integer, Proxy, Boolean, Boolean, Tokenizer, Map<String, String>) - Constructor for class dev.langchain4j.model.openai.OpenAiEmbeddingModel
OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder - Class in dev.langchain4j.model.openai
OpenAiEmbeddingModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
OpenAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder instances.
OpenAiEmbeddingModelName - Enum Class in dev.langchain4j.model.openai
OpenAiImageModel - Class in dev.langchain4j.model.openai: Represents an OpenAI DALL·E models to generate artistic images.
OpenAiImageModel(String, String, String, String, String, String, String, String, String, Duration, Integer, Proxy, Boolean, Boolean, Boolean, Path, Map<String, String>) - Constructor for class dev.langchain4j.model.openai.OpenAiImageModel: Instantiates OpenAI DALL·E image processing model.
OpenAiImageModel.OpenAiImageModelBuilder - Class in dev.langchain4j.model.openai
OpenAiImageModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
OpenAiImageModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiImageModel.OpenAiImageModelBuilder instances.
OpenAiImageModelName - Enum Class in dev.langchain4j.model.openai
OpenAiLanguageModel - Class in dev.langchain4j.model.openai: Represents an OpenAI language model with a completion interface, such as gpt-3.5-turbo-instruct.
OpenAiLanguageModel(String, String, String, String, Double, Duration, Integer, Proxy, Boolean, Boolean, Tokenizer, Map<String, String>) - Constructor for class dev.langchain4j.model.openai.OpenAiLanguageModel
OpenAiLanguageModel.OpenAiLanguageModelBuilder - Class in dev.langchain4j.model.openai: Builder class for constructing instances of OpenAiLanguageModel.
OpenAiLanguageModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
OpenAiLanguageModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiLanguageModel.OpenAiLanguageModelBuilder instances.
OpenAiLanguageModelName - Enum Class in dev.langchain4j.model.openai
OpenAiModelName - Class in dev.langchain4j.model.openai: Deprecated, for removal: This API element is subject to removal in a future version.
use one of the following enums instead: OpenAiChatModelName, OpenAiEmbeddingModelName OpenAiImageModelName, OpenAiLanguageModelName, OpenAiModerationModelName
OpenAiModelName() - Constructor for class dev.langchain4j.model.openai.OpenAiModelName: Deprecated.
OpenAiModerationModel - Class in dev.langchain4j.model.openai: Represents an OpenAI moderation model, such as text-moderation-latest.
OpenAiModerationModel(String, String, String, String, Duration, Integer, Proxy, Boolean, Boolean, Map<String, String>) - Constructor for class dev.langchain4j.model.openai.OpenAiModerationModel
OpenAiModerationModel.OpenAiModerationModelBuilder - Class in dev.langchain4j.model.openai
OpenAiModerationModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
OpenAiModerationModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiModerationModel.OpenAiModerationModelBuilder instances.
OpenAiModerationModelName - Enum Class in dev.langchain4j.model.openai
OpenAiStreamingChatModel - Class in dev.langchain4j.model.openai: Represents an OpenAI language model with a chat completion interface, such as gpt-3.5-turbo and gpt-4.
OpenAiStreamingChatModel(String, String, String, String, Double, Double, List<String>, Integer, Integer, Double, Double, Map<String, Integer>, String, Integer, String, Boolean, Boolean, Duration, Proxy, Boolean, Boolean, Tokenizer, Map<String, String>, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.openai.OpenAiStreamingChatModel
OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder - Class in dev.langchain4j.model.openai
OpenAiStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
OpenAiStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder instances.
OpenAiStreamingLanguageModel - Class in dev.langchain4j.model.openai: Represents an OpenAI language model with a completion interface, such as gpt-3.5-turbo-instruct.
OpenAiStreamingLanguageModel(String, String, String, String, Double, Duration, Proxy, Boolean, Boolean, Tokenizer, Map<String, String>) - Constructor for class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel
OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder - Class in dev.langchain4j.model.openai
OpenAiStreamingLanguageModelBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
OpenAiStreamingLanguageModelBuilderFactory - Interface in dev.langchain4j.model.openai.spi: A factory for building OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder instances.
OpenAiStreamingResponseBuilder - Class in dev.langchain4j.model.openai: This class needs to be thread safe because it is called when a streaming result comes back and there is no guarantee that this thread will be the same as the one that initiated the request, in fact it almost certainly won't be.
OpenAiStreamingResponseBuilder() - Constructor for class dev.langchain4j.model.openai.OpenAiStreamingResponseBuilder
OpenAiTokenizer - Class in dev.langchain4j.model.openai: This class can be used to estimate the cost (in tokens) before calling OpenAI or when using streaming.
OpenAiTokenizer() - Constructor for class dev.langchain4j.model.openai.OpenAiTokenizer: Deprecated, for removal: This API element is subject to removal in a future version.
Please use other constructors and specify the model name explicitly.
OpenAiTokenizer(OpenAiChatModelName) - Constructor for class dev.langchain4j.model.openai.OpenAiTokenizer: Creates an instance of the OpenAiTokenizer for a given OpenAiChatModelName.
OpenAiTokenizer(OpenAiEmbeddingModelName) - Constructor for class dev.langchain4j.model.openai.OpenAiTokenizer: Creates an instance of the OpenAiTokenizer for a given OpenAiEmbeddingModelName.
OpenAiTokenizer(OpenAiLanguageModelName) - Constructor for class dev.langchain4j.model.openai.OpenAiTokenizer: Creates an instance of the OpenAiTokenizer for a given OpenAiLanguageModelName.
OpenAiTokenizer(String) - Constructor for class dev.langchain4j.model.openai.OpenAiTokenizer: Creates an instance of the OpenAiTokenizer for a given model name.
OPENCHAT_3_5_0106 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning.
OPENHERMES_2_5_MISTRAL_7B_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets.
openSearchClient(OpenSearchClient) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
OpenSearchEmbeddingStore - Class in dev.langchain4j.store.embedding.opensearch: Represents an OpenSearch index as an embedding store.
OpenSearchEmbeddingStore(String, String, String, String, String) - Constructor for class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore: Creates an instance of OpenSearchEmbeddingStore to connect with OpenSearch clusters running locally and network reachable.
OpenSearchEmbeddingStore(String, String, String, AwsSdk2TransportOptions, String) - Constructor for class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore: Creates an instance of OpenSearchEmbeddingStore to connect with OpenSearch clusters running as a fully managed service at AWS.
OpenSearchEmbeddingStore(OpenSearchClient, String) - Constructor for class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore: Creates an instance of OpenSearchEmbeddingStore using provided OpenSearchClient
OpenSearchEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.opensearch
OpenSearchRequestFailedException - Exception Class in dev.langchain4j.store.embedding.opensearch
OpenSearchRequestFailedException() - Constructor for exception class dev.langchain4j.store.embedding.opensearch.OpenSearchRequestFailedException
OpenSearchRequestFailedException(String) - Constructor for exception class dev.langchain4j.store.embedding.opensearch.OpenSearchRequestFailedException
OpenSearchRequestFailedException(String, Throwable) - Constructor for exception class dev.langchain4j.store.embedding.opensearch.OpenSearchRequestFailedException
options - Variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
options(Options) - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest.Builder
options(AwsSdk2TransportOptions) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
Options - Class in dev.langchain4j.model.huggingface.client
Options.Builder - Class in dev.langchain4j.model.huggingface.client
or(Filter) - Method in interface dev.langchain4j.store.embedding.filter.Filter
or(Filter, Filter) - Static method in interface dev.langchain4j.store.embedding.filter.Filter
Or - Class in dev.langchain4j.store.embedding.filter.logical
Or(Filter, Filter) - Constructor for class dev.langchain4j.store.embedding.filter.logical.Or
OracleEmbeddingStore - Class in dev.langchain4j.store.embedding.oracle: An EmbeddingStore which uses AI Vector Search capabilities of Oracle Database.
OracleEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.oracle: Builder which configures and creates instances of OracleEmbeddingStore.
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
organizationId(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder
Origami - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset
OTHER - Enum constant in enum class dev.langchain4j.model.output.FinishReason: The call finished for some other reason.
outputDimensionality(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder
outputFormatInstructions(Type) - Method in class dev.langchain4j.service.output.ServiceOutputParser
outputTokenCount() - Method in class dev.langchain4j.model.output.TokenUsage: Returns the output token count, or null if unknown.
outputTokens - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicUsage
OvhAiApi - Interface in dev.langchain4j.model.ovhai.internal.api
OvhAiClient - Class in dev.langchain4j.model.ovhai.internal.client
OvhAiClient() - Constructor for class dev.langchain4j.model.ovhai.internal.client.OvhAiClient
OvhAiClient.Builder<T,B> - Class in dev.langchain4j.model.ovhai.internal.client
OvhAiClientBuilderFactory - Interface in dev.langchain4j.model.ovhai.internal.client
OvhAiEmbeddingModel - Class in dev.langchain4j.model.ovhai: Represents an OVHcloud embedding model.

P

P - Annotation Interface in dev.langchain4j.agent.tool

Parameter of a Tool

packageItem() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration

Returns the value of the packageItem record component.

packageName(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder

Infinispan schema package name

pageNumber() - Method in class dev.langchain4j.web.search.WebSearchInformationResult

Gets the page number.

parallelToolCalls(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

parallelToolCalls(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

parameters() - Method in class dev.langchain4j.agent.tool.ToolSpecification

Returns the parameters of the tool.

parameters(ToolParameters) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.Builder.parameters(JsonObjectSchema) instead. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

parameters(JsonObjectSchema) - Method in class dev.langchain4j.agent.tool.ToolSpecification.Builder

Sets the parameters.

parameters(Parameters) - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest.Builder

parameters(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder

Parameters - Class in dev.langchain4j.model.huggingface.client

Parameters(Parameters.Builder) - Constructor for class dev.langchain4j.model.huggingface.client.Parameters

Parameters.Builder - Class in dev.langchain4j.model.huggingface.client

parameterSize(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder

parse(Response<AiMessage>, Type) - Method in class dev.langchain4j.service.output.ServiceOutputParser

parse(InputStream) - Method in interface dev.langchain4j.data.document.DocumentParser

Parses a given InputStream into a Document.

parse(InputStream) - Method in class dev.langchain4j.data.document.parser.apache.pdfbox.ApachePdfBoxDocumentParser

parse(InputStream) - Method in class dev.langchain4j.data.document.parser.apache.poi.ApachePoiDocumentParser

parse(InputStream) - Method in class dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser

parse(InputStream) - Method in class dev.langchain4j.data.document.parser.TextDocumentParser

parse(String) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter

parse(String) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer

parse(String) - Method in interface dev.langchain4j.store.embedding.filter.FilterParser

Parses a filter expression string into a Filter object.

parse(String) - Method in class dev.langchain4j.store.embedding.filter.parser.sql.SqlFilterParser

partialJson - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta

partialResponse() - Method in class dev.langchain4j.model.chat.listener.ChatModelErrorContext

password(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder

password(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder

password(String) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead

password(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder

password(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder

password(String) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder

password(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder

password(String) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder

path - Variable in class dev.langchain4j.data.document.source.FileSystemSource

payloadTextKey(String) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder

PDF - Enum constant in enum class dev.langchain4j.data.message.ContentType

PDF file content.

pdfFile() - Method in class dev.langchain4j.data.message.PdfFileContent

Get the PdfFile.

PdfFile - Class in dev.langchain4j.data.pdf

PdfFile.Builder - Class in dev.langchain4j.data.pdf

Builder for PdfFile.

PdfFileContent - Class in dev.langchain4j.data.message

PdfFileContent(PdfFile) - Constructor for class dev.langchain4j.data.message.PdfFileContent

Create a new PdfFileContent from the given PDF file.

PdfFileContent(String) - Constructor for class dev.langchain4j.data.message.PdfFileContent

Create a new PdfFileContent from the given url.

PdfFileContent(String, String) - Constructor for class dev.langchain4j.data.message.PdfFileContent

Create a new PdfFileContent from the given base64 data and mime type.

PdfFileContent(URI) - Constructor for class dev.langchain4j.data.message.PdfFileContent

Create a new PdfFileContent from the given url.

performBasicValidation() - Method in class dev.langchain4j.service.AiServices

persistTo(Path) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder

persistTo(Path) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

persistToCloudStorage(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

personGeneration(VertexAiImageModel.PersonGeneration) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

PgVectorEmbeddingStore - Class in dev.langchain4j.store.embedding.pgvector

PGVector EmbeddingStore Implementation

PgVectorEmbeddingStore(String, Integer, String, String, String, String, Integer, Boolean, Integer, Boolean, Boolean, MetadataStorageConfig) - Constructor for class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Constructor for PgVectorEmbeddingStore Class Use this builder when you don't have datasource management.

PgVectorEmbeddingStore(DataSource, String, Integer, Boolean, Integer, Boolean, Boolean, MetadataStorageConfig) - Constructor for class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Constructor for PgVectorEmbeddingStore Class

PHI_2 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName

Phi-2 is a Transformer-based model with a next-word prediction objective, trained on 1.4T tokens from multiple passes on a mixture of Synthetic and Web datasets for NLP and coding.

PHI_3_5_MINI_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_5_VISION_INSTRUCT - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_MEDIUM_INSTRUCT_128K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_MEDIUM_INSTRUCT_4K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_MINI_INSTRUCT_128K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_MINI_INSTRUCT_4K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_SMALL_INSTRUCT_128K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHI_3_SMALL_INSTRUCT_8K - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

PHOTOGRAPH - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle

Photographic - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

PineconeEmbeddingStore - Class in dev.langchain4j.store.embedding.pinecone

Represents a Pinecone index as an embedding store.

PineconeEmbeddingStore(String, String, String, String, PineconeIndexConfig, String, String) - Constructor for class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore

Creates an instance of PineconeEmbeddingStore.

PineconeEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.pinecone

PineconeIndexConfig - Interface in dev.langchain4j.store.embedding.pinecone

PineconePodIndexConfig - Class in dev.langchain4j.store.embedding.pinecone

PineconePodIndexConfig.Builder - Class in dev.langchain4j.store.embedding.pinecone

PineconeServerlessIndexConfig - Class in dev.langchain4j.store.embedding.pinecone

PineconeServerlessIndexConfig.Builder - Class in dev.langchain4j.store.embedding.pinecone

PixelArt - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

PNG - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.MimeType

podType(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconePodIndexConfig.Builder

POP_ART - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle

port(int) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder

port(Integer) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder

port(Integer) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder

port(Integer) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder

port(Integer) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder

port(Integer) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder

PORTRAIT - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio

prefix(String) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder

presencePenalty(Double) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

presencePenalty(Double) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

probeContentType(String) - Method in class dev.langchain4j.internal.CustomMimeTypesFileTypeDetector

probeContentType(URI) - Method in class dev.langchain4j.internal.CustomMimeTypesFileTypeDetector

Guess the mime-type of a given URI.

probeContentType(Path) - Method in class dev.langchain4j.internal.CustomMimeTypesFileTypeDetector

Guess the mime-type of a given path.

processErrors(ApiResponse<?>, ResponseBody) - Method in class dev.langchain4j.model.workersai.client.AbstractWorkersAIModel

Process errors from the API.

profile(String) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder

Set the profile defined in AWS credentials.

project(String) - Method in class dev.langchain4j.data.document.loader.gcs.GoogleCloudStorageDocumentLoader.Builder

project(String) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder

project(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder

project(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

project(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder

projectId(String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder

projectId(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)

projectNumber(String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder

Prompt - Class in dev.langchain4j.model.input

Represents a prompt (an input text sent to the LLM).

Prompt() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.Prompt

Prompt(String) - Constructor for class dev.langchain4j.model.input.Prompt

Create a new Prompt.

promptTemplate - Variable in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter

promptTemplate - Variable in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer

promptTemplate - Variable in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer

promptTemplate - Variable in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder

promptTemplate(PromptTemplate) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

Use this instead:

 .retrievalAugmentor(DefaultRetrievalAugmentor.builder()
     .contentInjector(DefaultContentInjector.builder()
         .promptTemplate(promptTemplate)
         .build())
     .build());

promptTemplate(PromptTemplate) - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector.DefaultContentInjectorBuilder

promptTemplate(PromptTemplate) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder

promptTemplate(PromptTemplate) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer.CompressingQueryTransformerBuilder

promptTemplate(PromptTemplate) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer.ExpandingQueryTransformerBuilder

PromptTemplate - Class in dev.langchain4j.model.input

Represents a template of a prompt that can be reused multiple times.

PromptTemplate(String) - Constructor for class dev.langchain4j.model.input.PromptTemplate

Create a new PromptTemplate.

PromptTemplateFactory - Interface in dev.langchain4j.spi.prompt

A factory for creating prompt templates.

PromptTemplateFactory.Input - Interface in dev.langchain4j.spi.prompt

Interface for input for the factory.

PromptTemplateFactory.Template - Interface in dev.langchain4j.spi.prompt

Interface for a prompt template.

promptTokens - Variable in class dev.langchain4j.model.jina.internal.api.JinaUsage

properties - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolSchema

properties() - Method in class dev.langchain4j.agent.tool.ToolParameters

Deprecated.

Returns the properties of the tool.

properties() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema

properties(Map<String, JsonSchemaElement>) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder

Sets the properties of this JSON object.

properties(Map<String, Map<String, Object>>) - Method in class dev.langchain4j.agent.tool.ToolParameters.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use JsonObjectSchema.Builder.properties(Map) instead

property(String, Object) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty

Deprecated, for removal: This API element is subject to removal in a future version.

please use the new JsonSchemaElement API instead to define the schema for tool parameters

provideTools(ToolProviderRequest) - Method in interface dev.langchain4j.service.tool.ToolProvider

Provides tools for the request to the LLM.

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

proxy(Proxy) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder

proxyOptions(ProxyOptions) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder

publisher(String) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder

publisher(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder

publisher(String) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder

publisher(String) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder

put(String, double) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

put(String, float) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

put(String, int) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

put(String, long) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

put(String, String) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

put(String, UUID) - Method in class dev.langchain4j.data.document.Metadata

Adds a key-value pair to the metadata.

Q

QdrantEmbeddingStore - Class in dev.langchain4j.store.embedding.qdrant: Represents a Qdrant collection as an embedding store.
QdrantEmbeddingStore(QdrantClient, String, String) - Constructor for class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
QdrantEmbeddingStore(String, String, int, boolean, String, String) - Constructor for class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
QdrantEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.qdrant
quality(ImageGenerationQuality) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the quality of the image, using the ImageGenerationQuality enum.
quality(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the quality of the image.
quality(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
quantizationLevel(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails.Builder
query - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingRequest
Query - Class in dev.langchain4j.rag.query: Represents a query from the user intended for retrieving relevant Contents.
Query(String) - Constructor for class dev.langchain4j.rag.query.Query
Query(String, Metadata) - Constructor for class dev.langchain4j.rag.query.Query
queryEmbedding() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest
queryEmbedding(Embedding) - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder
queryRouter(QueryRouter) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
QueryRouter - Interface in dev.langchain4j.rag.query.router: Routes the given Query to one or multiple ContentRetrievers.
querySelector(Function<Map<Query, Collection<List<Content>>>, Query>) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder
queryTransformer(QueryTransformer) - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder
QueryTransformer - Interface in dev.langchain4j.rag.query.transformer: Transforms the given Query into one or multiple Querys.
queryType(AzureAiSearchQueryType) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder: Sets the Azure AI Search Query Type.
QUESTION_ANSWERING - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
QUESTION_ANSWERING - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
quoted(Object) - Static method in class dev.langchain4j.internal.Utils: Returns the given object's toString() surrounded by quotes.
QWEN1_5_0_5B_CHAT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
QWEN1_5_1_8B_CHAT - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
QWEN1_5_14B_CHAT_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
QWEN1_5_7B_CHAT_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.

R

randomUUID() - Static method in class dev.langchain4j.internal.Utils: Returns a random UUID.
rawDelayMs(int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy: This method returns the raw delay in milliseconds for a given attempt.
readBytes(String) - Static method in class dev.langchain4j.internal.Utils: Reads the content as bytes from the given URL as a GET request for HTTP/HTTPS resources, and from files stored on the local filesystem.
readFrom(MessageMarshaller.ProtoStreamReader) - Method in class dev.langchain4j.store.embedding.infinispan.LangChainItemMarshaller
readFrom(MessageMarshaller.ProtoStreamReader) - Method in class dev.langchain4j.store.embedding.infinispan.LangChainMetadataMarshaller
ReciprocalRankFuser - Class in dev.langchain4j.rag.content.aggregator: Implementation of Reciprocal Rank Fusion.
ReciprocalRankFuser() - Constructor for class dev.langchain4j.rag.content.aggregator.ReciprocalRankFuser
recursionDetected - Variable in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper.VisitedClassMetadata
recursive(int, int) - Static method in class dev.langchain4j.data.document.splitter.DocumentSplitters: This is a recommended DocumentSplitter for generic text.
recursive(int, int, Tokenizer) - Static method in class dev.langchain4j.data.document.splitter.DocumentSplitters: This is a recommended DocumentSplitter for generic text.
RecursiveDocumentSplitterFactory - Class in dev.langchain4j.data.document.splitter.recursive
RecursiveDocumentSplitterFactory() - Constructor for class dev.langchain4j.data.document.splitter.recursive.RecursiveDocumentSplitterFactory
RedisChatMemoryStore - Class in dev.langchain4j.store.memory.chat.redis
RedisChatMemoryStore(String, Integer, String, String) - Constructor for class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore
RedisChatMemoryStore.Builder - Class in dev.langchain4j.store.memory.chat.redis
RedisChatMemoryStoreException - Exception Class in dev.langchain4j.store.memory.chat.redis
RedisChatMemoryStoreException(String) - Constructor for exception class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStoreException
RedisEmbeddingStore - Class in dev.langchain4j.store.embedding.redis: Represents a Redis index as an embedding store.
RedisEmbeddingStore(String, Integer, String, String, String, String, Integer, Collection<String>) - Constructor for class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore: Creates an instance of RedisEmbeddingStore
RedisEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.redis
RedisRequestFailedException - Exception Class in dev.langchain4j.store.embedding.redis
RedisRequestFailedException() - Constructor for exception class dev.langchain4j.store.embedding.redis.RedisRequestFailedException
RedisRequestFailedException(String) - Constructor for exception class dev.langchain4j.store.embedding.redis.RedisRequestFailedException
RedisRequestFailedException(String, Throwable) - Constructor for exception class dev.langchain4j.store.embedding.redis.RedisRequestFailedException
reference - Variable in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper.VisitedClassMetadata
reference() - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema
reference(String) - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema.Builder
refreshSchema() - Method in class dev.langchain4j.store.graph.neo4j.Neo4jGraph
region - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
region(Region) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader.Builder: Set the Tencent region.
region(String) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder: Set the AWS region.
region(String) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader.Builder: Set the Tencent region.
region(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
region(String) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig.Builder
region(Region) - Method in class dev.langchain4j.data.document.loader.amazon.s3.AmazonS3DocumentLoader.Builder: Set the AWS region.
registerSchema() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the registerSchema record component.
registerSchema(boolean) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Register Langchain schema in the server
relevanceScore - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResult
RelevanceScore - Class in dev.langchain4j.store.embedding: Utility class for converting between cosine similarity and relevance score.
remoteCache() - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore
remove(String) - Method in class dev.langchain4j.data.document.Metadata: Removes the given key from the metadata.
remove(String) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
remove(String) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
remove(String) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Removes a single embedding from the store by ID.
remove(String) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
remove(String) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore: The Elasticsearch implementation will simply drop the index instead of removing all documents one by one.
removeAll() - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Removes all embeddings from the store.
removeAll() - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore: Removes all embeddings from the store.
removeAll() - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
removeAll() - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore
removeAll(Filter) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Removes all embeddings that match the specified Filter from the store.
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore: Removes all embeddings that match the specified Filter from the store.
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
removeAll(Filter) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore
removeAll(Collection<String>) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Removes all embeddings that match the specified IDs from the store.
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore: Removes a single embedding from the store by ID.
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
removeAll(Collection<String>) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore
removeToolMessages(List<ChatMessage>) - Static method in class dev.langchain4j.service.AiServices
render(Map<String, Object>) - Method in interface dev.langchain4j.spi.prompt.PromptTemplateFactory.Template: Render the template.
repeat(String, int) - Static method in class dev.langchain4j.internal.Utils: Returns a string consisting of the given string repeated times times.
repeatPenalty(Double) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
repeatPenalty(Double) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
repeatPenalty(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
repeatPenalty(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
repetitionPenalty(Double) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
request() - Method in class dev.langchain4j.model.chat.listener.ChatModelErrorContext
request() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequestContext
request() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponseContext
request() - Method in class dev.langchain4j.service.tool.ToolExecution: Returns the request of the tool execution.
request(ToolExecutionRequest) - Method in class dev.langchain4j.service.tool.ToolExecution.Builder
required - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolSchema
required() - Element in annotation interface dev.langchain4j.agent.tool.P: Whether the parameter is required
required() - Method in class dev.langchain4j.agent.tool.ToolParameters: Deprecated.

Returns the required properties of the tool.
required() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema
required(String...) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder
required(List<String>) - Method in class dev.langchain4j.agent.tool.ToolParameters.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonObjectSchema.Builder.required(List) instead
required(List<String>) - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema.Builder
rerank(JinaRerankingRequest) - Method in class dev.langchain4j.model.jina.internal.client.JinaClient
rerank(JinaRerankingRequest, String) - Method in interface dev.langchain4j.model.jina.internal.api.JinaApi
RERANK_1 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiScoringModelName
RERANK_LITE_1 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiScoringModelName
reRankAndFilter(List<Content>, Query) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
ReRankingContentAggregator - Class in dev.langchain4j.rag.content.aggregator: A ContentAggregator that performs re-ranking using a ScoringModel, such as Cohere.
ReRankingContentAggregator(ScoringModel) - Constructor for class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
ReRankingContentAggregator(ScoringModel, Function<Map<Query, Collection<List<Content>>>, Query>, Double) - Constructor for class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
ReRankingContentAggregator(ScoringModel, Function<Map<Query, Collection<List<Content>>>, Query>, Double, Integer) - Constructor for class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator
ReRankingContentAggregator.ReRankingContentAggregatorBuilder - Class in dev.langchain4j.rag.content.aggregator
resolveFirstGenericParameterClass(Type) - Static method in class dev.langchain4j.service.TypeUtils
response() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponseContext
Response<T> - Class in dev.langchain4j.model.output: Represents the response from various types of models, including language, chat, embedding, and moderation models.
Response(T) - Constructor for class dev.langchain4j.model.output.Response: Create a new Response.
Response(T, TokenUsage, FinishReason) - Constructor for class dev.langchain4j.model.output.Response: Create a new Response.
Response(T, TokenUsage, FinishReason, Map<String, Object>) - Constructor for class dev.langchain4j.model.output.Response: Create a new Response.
RESPONSE_FORMAT_JSON_SCHEMA - Enum constant in enum class dev.langchain4j.model.chat.Capability
responseFormat - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
responseFormat - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
responseFormat() - Method in class dev.langchain4j.model.chat.request.ChatRequest
responseFormat(ChatCompletionsResponseFormat) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
responseFormat(ChatCompletionsResponseFormat) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
responseFormat(ChatCompletionsResponseFormat) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
responseFormat(ChatCompletionsResponseFormat) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
responseFormat(ImageGenerationResponseFormat) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the response format of the image, using the ImageGenerationResponseFormat enum.
responseFormat(ResponseFormat) - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder
responseFormat(MistralAiResponseFormatType) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel.MistralAiChatModelBuilder
responseFormat(MistralAiResponseFormatType) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder
responseFormat(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the response format of the image.
responseFormat(String) - Method in class dev.langchain4j.model.mistralai.MistralAiChatModel.MistralAiChatModelBuilder
responseFormat(String) - Method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel.MistralAiStreamingChatModelBuilder
responseFormat(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
responseFormat(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
responseFormat(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
ResponseFormat - Class in dev.langchain4j.model.chat.request
ResponseFormat.Builder - Class in dev.langchain4j.model.chat.request
ResponseFormatType - Enum Class in dev.langchain4j.model.chat.request
restClient(RestClient) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder
result() - Method in class dev.langchain4j.service.tool.ToolExecution: Returns the result of the tool execution.
result(String) - Method in class dev.langchain4j.service.tool.ToolExecution.Builder
Result<T> - Class in dev.langchain4j.service: Represents the result of an AI Service invocation.
Result() - Constructor for class dev.langchain4j.model.bedrock.BedrockTitanChatModelResponse.Result
Result(T, TokenUsage, List<Content>, FinishReason, List<ToolExecution>) - Constructor for class dev.langchain4j.service.Result
Result.ResultBuilder<T> - Class in dev.langchain4j.service
results - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResponse
results() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse: Returns the value of the results record component.
results() - Method in class dev.langchain4j.web.search.WebSearchResults: Gets the list of organic search results.
RETRIEVAL_DOCUMENT - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
RETRIEVAL_DOCUMENT - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
RETRIEVAL_QUERY - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
RETRIEVAL_QUERY - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
retrievalAugmentor - Variable in class dev.langchain4j.service.AiServiceContext
retrievalAugmentor(RetrievalAugmentor) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder
retrievalAugmentor(RetrievalAugmentor) - Method in class dev.langchain4j.service.AiServices: Configures a retrieval augmentor to be invoked on every method call.
RetrievalAugmentor - Interface in dev.langchain4j.rag: Augments the provided ChatMessage with retrieved Contents.
retrieve(Query) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
retrieve(Query) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever
retrieve(Query) - Method in interface dev.langchain4j.rag.content.retriever.ContentRetriever: Retrieves relevant Contents using a given Query.
retrieve(Query) - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever
retrieve(Query) - Method in class dev.langchain4j.rag.content.retriever.neo4j.Neo4jContentRetriever
retrieve(Query) - Method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever
retrieveEmbeddingsOnSearch(Boolean) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
retriever(Retriever<TextSegment>) - Method in class dev.langchain4j.chain.ConversationalRetrievalChain.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
Use ConversationalRetrievalChain.Builder.contentRetriever(ContentRetriever) instead.
retriever(Retriever<TextSegment>) - Method in class dev.langchain4j.service.AiServices: Deprecated, for removal: This API element is subject to removal in a future version.
Use AiServices.contentRetriever(ContentRetriever) (e.g. EmbeddingStoreContentRetriever) instead.
Configures a retriever that will be invoked on every method call to fetch relevant information related to the current user message from an underlying source (e.g., embedding store). This relevant information is automatically injected into the message sent to the LLM.
Retriever<T> - Interface in dev.langchain4j.retriever: Deprecated, for removal: This API element is subject to removal in a future version.
Please use ContentRetriever instead.
retrieverToDescription(Map<ContentRetriever, String>) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder
RetryPolicy(int, int, double, double) - Constructor for class dev.langchain4j.internal.RetryUtils.RetryPolicy: Construct a RetryPolicy.
retryPolicyBuilder() - Static method in class dev.langchain4j.internal.RetryUtils: This method returns a RetryPolicy.Builder.
RetryUtils - Class in dev.langchain4j.internal: Utility class for retrying actions.
RetryUtils.RetryPolicy - Class in dev.langchain4j.internal: This class encapsulates a retry policy.
RetryUtils.RetryPolicy.Builder - Class in dev.langchain4j.internal: This class encapsulates a retry policy builder.
returnDocuments - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingRequest
returnFullText(Boolean) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder
returnFullText(Boolean) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
returnFullText(Boolean) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
revisedPrompt() - Method in class dev.langchain4j.data.image.Image: Get the revised prompt of the image.
revisedPrompt(String) - Method in class dev.langchain4j.data.image.Image.Builder: Set the revised prompt of the image.
right() - Method in class dev.langchain4j.store.embedding.filter.logical.And
right() - Method in class dev.langchain4j.store.embedding.filter.logical.Or
role - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
role - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicMessage
role - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
rootElement() - Method in class dev.langchain4j.model.chat.request.json.JsonSchema
rootElement(JsonSchemaElement) - Method in class dev.langchain4j.model.chat.request.json.JsonSchema.Builder
route(Query) - Method in class dev.langchain4j.rag.query.router.DefaultQueryRouter
route(Query) - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter
route(Query) - Method in interface dev.langchain4j.rag.query.router.QueryRouter: Routes the given Query to one or multiple ContentRetrievers.
ROUTE_TO_ALL - Enum constant in enum class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.FallbackStrategy: In this case, the Query will be routed to all ContentRetrievers.
runningModels() - Method in class dev.langchain4j.model.ollama.OllamaModels
RunningOllamaModel - Class in dev.langchain4j.model.ollama
runtime(String, Object...) - Static method in class dev.langchain4j.internal.Exceptions: Constructs an RuntimeException with the given formatted result.

S

safeSearch() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the safe search flag.
safeSearch(Boolean) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the safe search flag.
safetySettings - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
safetySettings - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
safetySettings(Map<GeminiHarmCategory, GeminiHarmBlockThreshold>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel.GoogleAiGeminiChatModelBuilder
safetySettings(Map<GeminiHarmCategory, GeminiHarmBlockThreshold>) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder
SafetyThreshold - Enum Class in dev.langchain4j.model.vertexai: Safety thresholds, for the harm categories for the generation of responses that have been blocked by the model.
sampleImageSize(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
sampleImageStyle(VertexAiImageModel.ImageStyle) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
sanitizeMessages(List<ChatMessage>) - Static method in class dev.langchain4j.model.anthropic.internal.sanitizer.MessageSanitizer
SchemaHelper - Class in dev.langchain4j.model.vertexai: Helper class to create a com.google.cloud.vertexai.api.Schema from a JSON schema string, or from a class by reflection on its public fields.
SchemaHelper() - Constructor for class dev.langchain4j.model.vertexai.SchemaHelper
scopeName(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
score() - Method in record class dev.langchain4j.classification.ScoredLabel: Returns the value of the score record component.
score() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch: Returns the relevance score (derivative of cosine distance) of this embedding compared to a reference embedding during a search.
score(TextSegment, String) - Method in interface dev.langchain4j.model.scoring.ScoringModel: Scores a given TextSegment against a given query.
score(String, String) - Method in interface dev.langchain4j.model.scoring.ScoringModel: Scores a given text against a given query.
scoreAll(List<TextSegment>, String) - Method in class dev.langchain4j.model.cohere.CohereScoringModel
scoreAll(List<TextSegment>, String) - Method in class dev.langchain4j.model.jina.JinaScoringModel
scoreAll(List<TextSegment>, String) - Method in class dev.langchain4j.model.scoring.onnx.OnnxScoringModel
scoreAll(List<TextSegment>, String) - Method in interface dev.langchain4j.model.scoring.ScoringModel: Scores all provided TextSegments against a given query.
scoreAll(List<TextSegment>, String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel: Scores all provided TextSegments against a given query.
scoreAll(List<TextSegment>, String) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel
ScoredLabel<L> - Record Class in dev.langchain4j.classification: Represents a classification label with score.
ScoredLabel(L, double) - Constructor for record class dev.langchain4j.classification.ScoredLabel: Creates an instance of a ScoredLabel record class.
scoredLabels() - Method in record class dev.langchain4j.classification.ClassificationResult: Returns the value of the scoredLabels record component.
scoringModel(ScoringModel) - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder
ScoringModel - Interface in dev.langchain4j.model.scoring: Represents a model capable of scoring a text against a query.
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore
search(EmbeddingSearchRequest) - Method in interface dev.langchain4j.store.embedding.EmbeddingStore: Searches for the most similar (closest in the embedding space) Embeddings.
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore: This implementation uses the exact k-NN with scoring script to calculate See https://opensearch.org/docs/latest/search-plugins/knn/knn-score-script/
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore: Searches for the most similar (closest in the embedding space) Embeddings.
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore
search(EmbeddingSearchRequest) - Method in class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore: Searches for the most similar (closest in the embedding space) Embeddings.
search(WebSearchRequest) - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine
search(WebSearchRequest) - Method in class dev.langchain4j.web.search.searchapi.SearchApiWebSearchEngine
search(WebSearchRequest) - Method in class dev.langchain4j.web.search.tavily.TavilyWebSearchEngine
search(WebSearchRequest) - Method in interface dev.langchain4j.web.search.WebSearchEngine: Performs a search request on the web search engine and returns the search results.
search(String) - Method in interface dev.langchain4j.web.search.WebSearchEngine: Performs a search query on the web search engine and returns the search results.
SearchApiWebSearchEngine - Class in dev.langchain4j.web.search.searchapi: An implementation of a WebSearchEngine that uses Search API for performing web searches.
SearchApiWebSearchEngine(String, String, Duration, String, Map<String, Object>) - Constructor for class dev.langchain4j.web.search.searchapi.SearchApiWebSearchEngine
searchClient - Variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
searchIndexName(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
searchInformation() - Method in class dev.langchain4j.web.search.WebSearchResults: Gets the information about the web search.
searchMetadata() - Method in class dev.langchain4j.web.search.WebSearchResults: Gets the metadata associated with the web search.
searchTerms() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the search terms.
searchTerms(String) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the search terms.
searchWeb(String) - Method in class dev.langchain4j.web.search.WebSearchTool: Runs a search query on the web search engine and returns a pretty-string representation of the search results.
seed(Integer) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
seed(Integer) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
seed(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
seed(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
seed(Integer) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
seed(Integer) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
seed(Long) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
seed(Long) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
seed(Long) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
seed(Long) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
seed(Long) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
SeleniumDocumentLoader - Class in dev.langchain4j.data.document.loader.selenium: Utility class for loading web documents using Selenium.
SeleniumDocumentLoader.Builder - Class in dev.langchain4j.data.document.loader.selenium
SEMANTIC_SEARCH_CONFIG_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
SEMANTIC_SIMILARITY - Enum constant in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType
SEMANTIC_SIMILARITY - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType
SENTENCE_TRANSFORMERS_ALL_MINI_LM_L6_V2 - Static variable in class dev.langchain4j.model.huggingface.HuggingFaceModelName
serialize() - Method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicRole
serializeToFile(String) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
serializeToFile(Path) - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
serializeToJson() - Method in class dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore
serverUrl(String) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
serverUrl(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
ServiceHelper - Class in dev.langchain4j.spi: Utility wrapper around ServiceLoader.load().
serviceName(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
ServiceOutputParser - Class in dev.langchain4j.service.output
ServiceOutputParser() - Constructor for class dev.langchain4j.service.output.ServiceOutputParser
serviceVersion(ModelServiceVersion) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(ModelServiceVersion) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(ModelServiceVersion) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Sets the Azure OpenAI API service version.
serviceVersion(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder: Sets the Azure OpenAI API service version.
session(Session) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Set the Session to use to obtain the document chunk NamedMap.
session(Session) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore.Builder: Set the Session to use to obtain the document chunk NamedMap.
session(String) - Method in class dev.langchain4j.store.embedding.coherence.CoherenceEmbeddingStore.Builder: Set the name of the Session to use to obtain the document chunk NamedMap.
session(String) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore.Builder: Set the name of the Session to use to obtain the document chunk NamedMap.
setAttributes(Collection<Document.Metadata.Attribute>) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata
setCategories(MistralCategories) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralModerationResult
setCategoryScores(MistralCategoryScores) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralModerationResult
setContent(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document
setContentVector(Collection<Float>) - Method in class dev.langchain4j.store.embedding.azure.search.Document
setDangerousAndCriminalContent(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setDangerousAndCriminalContent(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setDetails(OllamaModelDetails) - Method in class dev.langchain4j.model.ollama.OllamaModel
setDetails(OllamaModelDetails) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setDetails(OllamaModelDetails) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setDigest(String) - Method in class dev.langchain4j.model.ollama.OllamaModel
setDigest(String) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setEmbedding(List<Float>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
setEmbedding(List<Float>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
setExpiresAt(OffsetDateTime) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setFamilies(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
setFamily(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
setFormat(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
setGeneratedText(String) - Method in class dev.langchain4j.model.huggingface.client.TextGenerationResponse
setHateAndDiscrimination(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setHateAndDiscrimination(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setHealth(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setHealth(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setId(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document
setId(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
setId(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
setKey(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute
setLaw(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setLaw(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setLicense(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setMetadata(Document.Metadata) - Method in class dev.langchain4j.store.embedding.azure.search.Document
setMetadata(Map<String, Object>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
setMetadata(Map<String, Object>) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
setModel(String) - Method in class dev.langchain4j.model.ollama.OllamaModel
setModel(String) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setModelfile(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setModelInfo(Map<String, Object>) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setModifiedAt(OffsetDateTime) - Method in class dev.langchain4j.model.ollama.OllamaModel
setModifiedAt(OffsetDateTime) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setName(String) - Method in class dev.langchain4j.model.ollama.OllamaModel
setName(String) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setParameters(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setParameterSize(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
setPii(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setPii(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setQuantizationLevel(String) - Method in class dev.langchain4j.model.ollama.OllamaModelDetails
setScore(Double) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
setSelfHarm(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setSelfHarm(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setSexual(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setSexual(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
setSize(long) - Method in class dev.langchain4j.model.ollama.OllamaModel
setSize(Long) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setSizeVram(Long) - Method in class dev.langchain4j.model.ollama.RunningOllamaModel
setSource(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata
setTemplate(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard
setText(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument
setText(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbMatchedDocument
setValue(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute
setViolenceAndThreats(Boolean) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategories
setViolenceAndThreats(Double) - Method in class dev.langchain4j.model.mistralai.internal.api.MistralCategoryScores
similarity() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration: Returns the value of the similarity record component.
similarity(String) - Method in class dev.langchain4j.store.embedding.infinispan.InfinispanEmbeddingStore.Builder: Infinispan similarity for the embedding definition
singleText() - Method in class dev.langchain4j.data.message.UserMessage: Returns text from a single TextContent.
size(long) - Method in class dev.langchain4j.model.ollama.OllamaModel.Builder
size(ImageSize) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the size of the image, using the ImageSize enum.
size(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the size of the image.
size(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
SKETCH - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle
sleep(int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy: This method sleeps for a given attempt.
snippet() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult: Returns the snippet associated with the web page.
source - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContent
SOURCE - Static variable in class dev.langchain4j.data.document.source.amazon.s3.AmazonS3Source
SOURCE - Static variable in class dev.langchain4j.data.document.source.azure.storage.blob.AzureBlobStorageSource
SOURCE - Static variable in class dev.langchain4j.data.document.source.tencent.cos.TencentCosSource
sources() - Method in class dev.langchain4j.service.Result
sources(List<Content>) - Method in class dev.langchain4j.service.Result.ResultBuilder
split(Document) - Method in interface dev.langchain4j.data.document.DocumentSplitter: Splits a single Document into a list of TextSegment objects.
split(Document) - Method in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentByCharacterSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentByLineSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentByParagraphSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentByRegexSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentBySentenceSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.DocumentByWordSplitter
split(String) - Method in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter: Splits the provided text into parts.
splitAll(List<Document>) - Method in interface dev.langchain4j.data.document.DocumentSplitter: Splits a list of Documents into a list of TextSegment objects.
SQLCODER_7B_2 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: This model is intended to be used by non-technical users to understand data inside their SQL databases.
SqlDatabaseContentRetriever - Class in dev.langchain4j.experimental.rag.content.retriever.sql: WARNING! Although fun and exciting, this class is dangerous to use! Do not ever use this in production! The database user must have very limited READ-ONLY permissions! Although the generated SQL is somewhat validated (to ensure that the SQL is a SELECT statement) using JSqlParser, this class does not guarantee that the SQL will be harmless.
SqlDatabaseContentRetriever(DataSource, String, String, PromptTemplate, ChatLanguageModel, Integer) - Constructor for class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever: Creates an instance of a SqlDatabaseContentRetriever.
sqlFilterParser - Variable in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder
SqlFilterParser - Class in dev.langchain4j.store.embedding.filter.parser.sql: Parses an SQL "WHERE" clause into a Filter object using JSqlParser.
SqlFilterParser() - Constructor for class dev.langchain4j.store.embedding.filter.parser.sql.SqlFilterParser: Creates an instance of SqlFilterParser.
SqlFilterParser(Clock) - Constructor for class dev.langchain4j.store.embedding.filter.parser.sql.SqlFilterParser: Creates an instance of SqlFilterParser.
SQUARE - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio
STABLE_DIFFUSION_V1_5_IMG2IMG - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images.
STABLE_DIFFUSION_V1_5_IN_PAINTING - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask.
STABLE_DIFFUSION_XL - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Diffusion-based text-to-image generative model by Stability AI.
STABLE_DIFFUSION_XL_LIGHTNING - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: SDXL-Lightning is a lightning-fast text-to-image generation model.
StableDiffuseXlV0 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.Types
StableDiffuseXlV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.Types
STARLING_LM_7B_BETA - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: We introduce Starling-LM-7B-beta, an open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF).
start() - Method in class dev.langchain4j.service.AiServiceTokenStream
start() - Method in interface dev.langchain4j.service.TokenStream: Completes the current token stream building and starts processing.
startIndex() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the start index for search results.
startIndex(Integer) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the start index for search results.
startPage() - Method in class dev.langchain4j.web.search.WebSearchRequest: Get the start page number for search results.
startPage(Integer) - Method in class dev.langchain4j.web.search.WebSearchRequest.Builder: Set the start page number for search results.
statusCode() - Method in exception class dev.langchain4j.model.anthropic.internal.client.AnthropicHttpException: HTTP response status code.
stop(List<String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
stop(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder
stop(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder
stop(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder
stop(List<String>) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder
stop(List<String>) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
stop(List<String>) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
STOP - Enum constant in enum class dev.langchain4j.model.output.FinishReason: The model call finished because the model decided the request was done.
stopReason - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
stopReason - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta
stopReason - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
stopSequence - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
stopSequence - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta
stopSequence - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
stopSequences - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
stopSequences - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel
stopSequences - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
stopSequences - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel
storageMode() - Method in interface dev.langchain4j.store.embedding.pgvector.MetadataStorageConfig: Metadata storage mode COMBINED_JSON: For dynamic metadata, when you don't know the list of metadata that will be used.
stream - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
streamingChatCompletion(MistralAiChatCompletionRequest) - Method in interface dev.langchain4j.model.mistralai.internal.api.MistralAiApi
streamingChatCompletion(MistralAiChatCompletionRequest, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.mistralai.internal.client.DefaultMistralAiClient
streamingChatCompletion(MistralAiChatCompletionRequest, StreamingResponseHandler<AiMessage>) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient
streamingChatLanguageModel(StreamingChatLanguageModel) - Method in class dev.langchain4j.service.AiServices: Configures streaming chat model that will be used under the hood of the AI Service.
StreamingChatLanguageModel - Interface in dev.langchain4j.model.chat: Represents a language model that has a chat interface and can stream a response one token at a time.
streamingChatModel - Variable in class dev.langchain4j.service.AiServiceContext
StreamingLanguageModel - Interface in dev.langchain4j.model.language: Represents a language model that has a simple text interface (as opposed to a chat interface) and can stream a response one token at a time.
StreamingResponseHandler<T> - Interface in dev.langchain4j.model: Represents a handler for streaming responses from a language model.
streamMessage(String, String, String, AnthropicCreateMessageRequest) - Method in interface dev.langchain4j.model.anthropic.internal.api.AnthropicApi
strictJsonSchema(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
strictTools(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
strictTools(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
STRING - Static variable in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated, for removal: This API element is subject to removal in a future version.
please use JsonStringSchema() instead
StructuredPrompt - Annotation Interface in dev.langchain4j.model.input.structured: Represents a structured prompt.
StructuredPrompt.Util - Class in dev.langchain4j.model.input.structured: Utility class for StructuredPrompt.
StructuredPromptFactory - Interface in dev.langchain4j.spi.prompt.structured: Represents a factory for structured prompts.
StructuredPromptProcessor - Class in dev.langchain4j.model.input.structured: Utility class for structured prompts.
style(ImageGenerationStyle) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the style of the image, using the ImageGenerationStyle enum.
style(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the style of the image.
style(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
subSplitter - Variable in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter
sum(TokenUsage, TokenUsage) - Static method in class dev.langchain4j.model.output.TokenUsage: Adds two token usages.
supportedCapabilities() - Method in interface dev.langchain4j.model.chat.ChatLanguageModel
supportedCapabilities() - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel
supportedCapabilities() - Method in class dev.langchain4j.model.openai.OpenAiChatModel
system - Enum constant in enum class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.MessageRole: Directive for the prompt
system - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest
SYSTEM - Enum constant in enum class dev.langchain4j.data.message.ChatMessageType: A message from the system, typically defined by a developer.
SYSTEM - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole
systemMessage(String) - Static method in class dev.langchain4j.data.message.SystemMessage: Creates a new system message.
SystemMessage - Class in dev.langchain4j.data.message: Represents a system message, typically defined by a developer.
SystemMessage - Annotation Interface in dev.langchain4j.service: Specifies either a complete system message (prompt) or a system message template to be used each time an AI service is invoked.
SystemMessage(String) - Constructor for class dev.langchain4j.data.message.SystemMessage: Creates a new system message.
systemMessageProvider - Variable in class dev.langchain4j.service.AiServiceContext
systemMessageProvider(Function<Object, String>) - Method in class dev.langchain4j.service.AiServices: Configures the system message provider, which provides a system message to be used each time an AI service is invoked.

T

table - Variable in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder

table - Variable in class dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore

Embeddings table name

table - Variable in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder

table(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder

table(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra

table(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder

table(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra

tableDefinition - Variable in class dev.langchain4j.store.embedding.filter.builder.sql.LanguageModelSqlFilterBuilder

TableDefinition - Class in dev.langchain4j.store.embedding.filter.builder.sql

TableDefinition(String, String, Collection<ColumnDefinition>) - Constructor for class dev.langchain4j.store.embedding.filter.builder.sql.TableDefinition

TableDefinition.Builder - Class in dev.langchain4j.store.embedding.filter.builder.sql

TablestoreChatMemoryStore - Class in dev.langchain4j.store.memory.chat.tablestore

TablestoreChatMemoryStore(SyncClient) - Constructor for class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore

TablestoreChatMemoryStore(SyncClient, String, String, String, String) - Constructor for class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore

TablestoreEmbeddingStore - Class in dev.langchain4j.store.embedding.tablestore

TablestoreEmbeddingStore(SyncClient, int) - Constructor for class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

TablestoreEmbeddingStore(SyncClient, int, List<FieldSchema>) - Constructor for class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

TablestoreEmbeddingStore(SyncClient, String, String, String, String, String, int, VectorMetricType, List<FieldSchema>) - Constructor for class dev.langchain4j.store.embedding.tablestore.TablestoreEmbeddingStore

taskType(VertexAiEmbeddingModel.TaskType) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder

TavilyWebSearchEngine - Class in dev.langchain4j.web.search.tavily

Represents Tavily Search API as a WebSearchEngine.

TavilyWebSearchEngine(String, String, Duration, String, Boolean, Boolean, List<String>, List<String>) - Constructor for class dev.langchain4j.web.search.tavily.TavilyWebSearchEngine

temperature - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

temperature - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

temperature - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

temperature - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

temperature() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest

temperature(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder

temperature(Double) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder

temperature(Double) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

temperature(Double) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder

temperature(Double) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder

template() - Method in class dev.langchain4j.model.input.PromptTemplate

template(String) - Method in class dev.langchain4j.model.ollama.OllamaModelCard.Builder

TencentCosDocumentLoader - Class in dev.langchain4j.data.document.loader.tencent.cos

TencentCosDocumentLoader(COSClient) - Constructor for class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader

TencentCosDocumentLoader.Builder - Class in dev.langchain4j.data.document.loader.tencent.cos

TencentCosSource - Class in dev.langchain4j.data.document.source.tencent.cos

TencentCosSource(InputStream, String, String) - Constructor for class dev.langchain4j.data.document.source.tencent.cos.TencentCosSource

tencentCredentials(TencentCredentials) - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCosDocumentLoader.Builder

Set the Tencent credentials.

TencentCredentials - Class in dev.langchain4j.data.document.loader.tencent.cos

TencentCredentials(String, String) - Constructor for class dev.langchain4j.data.document.loader.tencent.cos.TencentCredentials

TencentCredentials(String, String, String) - Constructor for class dev.langchain4j.data.document.loader.tencent.cos.TencentCredentials

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo

test(Object) - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn

test(Object) - Method in interface dev.langchain4j.store.embedding.filter.Filter

Tests if a given object satisfies this Filter.

test(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.And

test(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.Not

test(Object) - Method in class dev.langchain4j.store.embedding.filter.logical.Or

test(Object) - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch

test(Object) - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase

text - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicContent

text - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta

text - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicTextContent

text - Variable in class dev.langchain4j.model.jina.internal.api.JinaDocument

text() - Method in class dev.langchain4j.data.document.Document

Returns the text of this document.

text() - Method in class dev.langchain4j.data.message.AiMessage

Get the text of the message.

text() - Method in interface dev.langchain4j.data.message.ChatMessage

Deprecated, for removal: This API element is subject to removal in a future version.

use accessors of SystemMessage, UserMessage, AiMessage and ToolExecutionResultMessage instead

text() - Method in class dev.langchain4j.data.message.SystemMessage

Returns the message text.

text() - Method in class dev.langchain4j.data.message.TextContent

Returns the text.

text() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage

Returns the result of the tool execution.

text() - Method in class dev.langchain4j.data.message.UserMessage

Deprecated, for removal: This API element is subject to removal in a future version.

Use UserMessage.singleText() or UserMessage.contents() instead.

text() - Method in class dev.langchain4j.data.segment.TextSegment

Returns the text.

text() - Method in class dev.langchain4j.model.input.Prompt

The text of the prompt.

text() - Method in class dev.langchain4j.rag.query.Query

text() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem

Returns the value of the text record component.

text(String) - Method in class dev.langchain4j.store.embedding.mongodb.MongoDbDocument.Builder

TEXT - Enum constant in enum class dev.langchain4j.data.message.ContentType

Text content.

TEXT - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicContentBlockType

TEXT - Enum constant in enum class dev.langchain4j.model.chat.request.ResponseFormatType

TEXT - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormatType

TEXT - Static variable in class dev.langchain4j.model.chat.request.ResponseFormat

TEXT_DAVINCI_002 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName

TEXT_DAVINCI_002 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName

Deprecated.

TEXT_DAVINCI_002_1 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName

TEXT_EMBEDDING_004 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TEXT_EMBEDDING_3_LARGE - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_3_LARGE - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName

TEXT_EMBEDDING_3_LARGE - Enum constant in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName

TEXT_EMBEDDING_3_LARGE - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName

Deprecated.

TEXT_EMBEDDING_3_LARGE_1 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_3_SMALL - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_3_SMALL - Enum constant in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName

TEXT_EMBEDDING_3_SMALL - Enum constant in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName

TEXT_EMBEDDING_3_SMALL - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName

Deprecated.

TEXT_EMBEDDING_3_SMALL_1 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_ADA_002 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_ADA_002 - Enum constant in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName

TEXT_EMBEDDING_ADA_002 - Static variable in class dev.langchain4j.model.azure.AzureOpenAiModelName

Deprecated.

TEXT_EMBEDDING_ADA_002 - Static variable in class dev.langchain4j.model.openai.OpenAiModelName

Deprecated.

TEXT_EMBEDDING_ADA_002_1 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_ADA_002_2 - Enum constant in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

TEXT_EMBEDDING_PREVIEW_0815 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TEXT_FILE - Enum constant in enum class dev.langchain4j.data.message.ContentType

Text file content.

TEXT_MODERATION_LATEST - Enum constant in enum class dev.langchain4j.model.openai.OpenAiModerationModelName

TEXT_MODERATION_LATEST - Static variable in class dev.langchain4j.model.openai.OpenAiModelName

Deprecated.

TEXT_MODERATION_STABLE - Enum constant in enum class dev.langchain4j.model.openai.OpenAiModerationModelName

TEXT_MODERATION_STABLE - Static variable in class dev.langchain4j.model.openai.OpenAiModelName

Deprecated.

TEXT_MULTILINGUAL_EMBEDDING_002 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TextClassifier<L> - Interface in dev.langchain4j.classification

Classifies a given text based on a set of labels.

textColumn() - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable

Returns the name of this table's text column.

textColumn(String) - Method in class dev.langchain4j.store.embedding.oracle.EmbeddingTable.Builder

Configures the name of a column which stores text.

TextContent - Class in dev.langchain4j.data.message

Represents a text content.

TextContent(String) - Constructor for class dev.langchain4j.data.message.TextContent

Creates a new text content.

TextDocumentParser - Class in dev.langchain4j.data.document.parser

TextDocumentParser() - Constructor for class dev.langchain4j.data.document.parser.TextDocumentParser

TextDocumentParser(Charset) - Constructor for class dev.langchain4j.data.document.parser.TextDocumentParser

TEXTEMBEDDING_GECKO_001 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TEXTEMBEDDING_GECKO_002 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TEXTEMBEDDING_GECKO_003 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

TEXTEMBEDDING_GECKO_MULTILINGUAL_001 - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

textFieldName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder

textFile() - Method in class dev.langchain4j.data.message.TextFileContent

Get the TextFile.

TextFile - Class in dev.langchain4j.data.text

TextFile.Builder - Class in dev.langchain4j.data.text

Builder for TextFile.

TextFileContent - Class in dev.langchain4j.data.message

TextFileContent(TextFile) - Constructor for class dev.langchain4j.data.message.TextFileContent

Create a new TextFileContent from the given text file.

TextFileContent(String) - Constructor for class dev.langchain4j.data.message.TextFileContent

Create a new TextFileContent from the given url.

TextFileContent(String, String) - Constructor for class dev.langchain4j.data.message.TextFileContent

Create a new TextFileContent from the given base64 data and mime type.

TextFileContent(URI) - Constructor for class dev.langchain4j.data.message.TextFileContent

Create a new TextFileContent from the given url.

TextGenerationRequest - Class in dev.langchain4j.model.huggingface.client

TextGenerationRequest.Builder - Class in dev.langchain4j.model.huggingface.client

TextGenerationResponse - Class in dev.langchain4j.model.huggingface.client

TextGenerationResponse() - Constructor for class dev.langchain4j.model.huggingface.client.TextGenerationResponse

TextGenerationResponse(String) - Constructor for class dev.langchain4j.model.huggingface.client.TextGenerationResponse

TextRange() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.TextRange

TextResponse() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiTextCompletionResponse.TextResponse

Default constructor.

textSegment() - Method in class dev.langchain4j.rag.content.Content

textSegment(String) - Static method in class dev.langchain4j.data.segment.TextSegment

Creates a new text segment.

textSegment(String, Metadata) - Static method in class dev.langchain4j.data.segment.TextSegment

Creates a new text segment.

TextSegment - Class in dev.langchain4j.data.segment

Represents a semantically meaningful segment (chunk/piece/fragment) of a larger entity such as a document or chat conversation.

TextSegment(String, Metadata) - Constructor for class dev.langchain4j.data.segment.TextSegment

Creates a new text segment.

textSegmentTransformer(TextSegmentTransformer) - Method in class dev.langchain4j.store.embedding.EmbeddingStoreIngestor.Builder

Sets the text segment transformer.

TextSegmentTransformer - Interface in dev.langchain4j.data.segment

Defines the interface for transforming a TextSegment.

THREE_FOURTHS - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio

ThreeDModel - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

thumbnailLink() - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult

TII_UAE_FALCON_7B_INSTRUCT - Static variable in class dev.langchain4j.model.huggingface.HuggingFaceModelName

TileTexture - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset

timeout - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder

timeout - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

timeout - Variable in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder

timeout - Variable in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder

timeout() - Method in interface dev.langchain4j.model.huggingface.spi.HuggingFaceClientFactory.Input

timeout(Duration) - Method in class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader.Builder

timeout(Duration) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.mistralai.internal.client.MistralAiClient.Builder

timeout(Duration) - Method in class dev.langchain4j.model.mistralai.MistralAiModerationModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaEmbeddingModel.OllamaEmbeddingModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaModels.OllamaModelsBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

timeout(Duration) - Method in class dev.langchain4j.model.ovhai.internal.client.OvhAiClient.Builder

timeout(Duration) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder

timeout(Duration) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder

timeout(Duration) - Method in class dev.langchain4j.store.embedding.chroma.ChromaEmbeddingStore.Builder

TINYLLAMA_1_1B_CHAT_V1_0 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName

The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens.

TitanEmbedTextV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel.Types

TitanEmbedTextV2 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel.Types

TitanTextExpressV1 - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockTitanChatModel.Types

TitanTg1Large - Enum constant in enum class dev.langchain4j.model.bedrock.BedrockTitanChatModel.Types

title() - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult

title() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult

Returns the title of the web page.

titleMetadataKey(String) - Method in class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.Builder

titleMetadataKey(String) - Method in class dev.langchain4j.model.vertexai.VertexAiScoringModel.Builder

toAiMessage() - Method in class dev.langchain4j.model.input.Prompt

Convert this prompt to an AiMessage.

toAiMessage(List<AnthropicContent>) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toAiMessage(T) - Method in class dev.langchain4j.model.bedrock.internal.AbstractBedrockChatModel

toAnthropicMessages(List<ChatMessage>) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toAnthropicSystemPrompt(List<ChatMessage>, AnthropicCacheType) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toAnthropicTool(ToolSpecification, AnthropicCacheType) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toAnthropicTools(List<ToolSpecification>, AnthropicCacheType) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toContentRetriever() - Method in interface dev.langchain4j.retriever.Retriever

Deprecated.

toCredentials() - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCredentials

toCredentialsProvider() - Method in class dev.langchain4j.data.document.loader.amazon.s3.AwsCredentials

toCredentialsProvider() - Method in class dev.langchain4j.data.document.loader.tencent.cos.TencentCredentials

toDocument() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult

Converts this WebSearchOrganicResult to a Document.

toDocuments() - Method in class dev.langchain4j.web.search.WebSearchResults

Converts the organic search results to a list of documents.

toEmbedding() - Method in class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingResponse

toEmbedding() - Method in interface dev.langchain4j.model.bedrock.internal.BedrockEmbeddingResponse

Get embedding

toFinishReason(Generator.FinishReason) - Static method in class dev.langchain4j.model.jlama.JlamaLanguageModel

toFinishReason(String) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toFunctions(Collection<ToolSpecification>) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

Deprecated.

Functions are deprecated by OpenAI, use InternalOpenAiHelper.toTools(Collection, boolean) instead

toInputStream(Object, Class<?>) - Method in interface dev.langchain4j.internal.Json.JsonCodec

Deprecated.

Convert the given object to an InputStream.

toInputStream(Object, Class<?>) - Static method in class dev.langchain4j.internal.Json

Deprecated.

use Jackson's ObjectMapper

toJson(InMemoryEmbeddingStore<?>) - Method in class dev.langchain4j.store.embedding.inmemory.GsonInMemoryEmbeddingStoreJsonCodec

toJson(InMemoryEmbeddingStore<?>) - Method in interface dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStoreJsonCodec

toJson(Object) - Method in interface dev.langchain4j.internal.Json.JsonCodec

Deprecated.

Convert the given object to JSON.

toJson(Object) - Static method in class dev.langchain4j.internal.Json

Deprecated.

use Jackson's ObjectMapper

toJson(Object) - Static method in class dev.langchain4j.model.bedrock.internal.Json

token(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.BuilderAstra

token(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder

token(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.BuilderAstra

Token() - Constructor for class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModelResponse.Token

TokenCountEstimator - Interface in dev.langchain4j.model.chat

Represents an interface for estimating the count of tokens in various text types such as a text, message, prompt, text segment, etc.

TokenCountEstimator - Interface in dev.langchain4j.model.embedding

Represents an interface for estimating the count of tokens in various texts, text segments, etc.

TokenCountEstimator - Interface in dev.langchain4j.model.language

Represents an interface for estimating the count of tokens in various text types such as a text, prompt, text segment, etc.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenizer - Variable in class dev.langchain4j.data.document.splitter.HierarchicalDocumentSplitter

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

tokenizer(Tokenizer) - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

Tokenizer - Interface in dev.langchain4j.model

Represents an interface for estimating the count of tokens in various text types such as a text, prompt, text segment, etc.

TokenLikelihood() - Constructor for class dev.langchain4j.model.bedrock.BedrockCohereChatModelResponse.TokenLikelihood

TokenStream - Interface in dev.langchain4j.service

Represents a token stream from language model to which you can subscribe and receive updates when a new token is available, when language model finishes streaming, or when an error occurs during streaming.

TokenStreamAdapter - Interface in dev.langchain4j.spi.services

tokenUsage() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse

tokenUsage() - Method in class dev.langchain4j.model.chat.response.ChatResponse

tokenUsage() - Method in class dev.langchain4j.model.output.Response

Get the token usage statistics.

tokenUsage() - Method in class dev.langchain4j.service.Result

tokenUsage() - Method in class dev.langchain4j.store.embedding.IngestionResult

tokenUsage(TokenUsage) - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder

tokenUsage(TokenUsage) - Method in class dev.langchain4j.model.chat.response.ChatResponse.Builder

tokenUsage(TokenUsage) - Method in class dev.langchain4j.service.Result.ResultBuilder

TokenUsage - Class in dev.langchain4j.model.output

Represents the token usage of a response.

TokenUsage() - Constructor for class dev.langchain4j.model.output.TokenUsage

Creates a new TokenUsage instance with all fields set to null.

TokenUsage(Integer) - Constructor for class dev.langchain4j.model.output.TokenUsage

Creates a new TokenUsage instance with the given input token count.

TokenUsage(Integer, Integer) - Constructor for class dev.langchain4j.model.output.TokenUsage

Creates a new TokenUsage instance with the given input and output token counts.

TokenUsage(Integer, Integer, Integer) - Constructor for class dev.langchain4j.model.output.TokenUsage

Creates a new TokenUsage instance with the given input, output and total token counts.

tokenUsageFrom(Usage) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

tokenUsageFrom(MistralAiUsage) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

TokenWindowChatMemory - Class in dev.langchain4j.memory.chat

This chat memory operates as a sliding window of TokenWindowChatMemory.maxTokens tokens.

TokenWindowChatMemory.Builder - Class in dev.langchain4j.memory.chat

toMap() - Method in class dev.langchain4j.data.document.Metadata

Get a copy of the metadata as a map of key-value pairs.

toMap(JsonSchemaElement) - Static method in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper

toMap(Map<String, JsonSchemaElement>) - Static method in class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper

toMistralAiMessages(List<ChatMessage>) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

toMistralAiResponseFormat(String) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

toMistralAiTools(List<ToolSpecification>) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

Tool - Annotation Interface in dev.langchain4j.agent.tool

Java methods annotated with @Tool are considered tools/functions that language model can execute/call.

TOOL - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoiceType

TOOL - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole

TOOL_EXECUTION - Enum constant in enum class dev.langchain4j.model.output.FinishReason

The call finished signalling a need for tool execution.

TOOL_EXECUTION_RESULT - Enum constant in enum class dev.langchain4j.data.message.ChatMessageType

A message from a tool.

TOOL_USE - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicContentBlockType

ToolCallingMode - Enum Class in dev.langchain4j.model.vertexai

Tool calling mode, to instruct Gemini whether it can request calls to any functions, to just a subset of the available functions, or to none at all.

toolChoice - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

toolConfig - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

toolConfig - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

toolConfig(GeminiMode, String...) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel.GoogleAiGeminiChatModelBuilder

toolConfig(GeminiMode, String...) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder

ToolExecution - Class in dev.langchain4j.service.tool

Represents the execution of a tool, including the request and the result.

ToolExecution.Builder - Class in dev.langchain4j.service.tool

ToolExecutionRequest - Class in dev.langchain4j.agent.tool

Represents an LLM-generated request to execute a tool.

ToolExecutionRequest.Builder - Class in dev.langchain4j.agent.tool

ToolExecutionRequest builder static inner class.

toolExecutionRequests() - Method in class dev.langchain4j.data.message.AiMessage

Get the tool execution requests of the message.

toolExecutionResultMessage(ToolExecutionRequest, String) - Static method in class dev.langchain4j.data.message.ToolExecutionResultMessage

Creates a ToolExecutionResultMessage from a ToolExecutionRequest and the result of the tool execution.

toolExecutionResultMessage(String, String, String) - Static method in class dev.langchain4j.data.message.ToolExecutionResultMessage

Creates a ToolExecutionResultMessage from a ToolExecutionRequest and the result of the tool execution.

ToolExecutionResultMessage - Class in dev.langchain4j.data.message

Represents the result of a tool execution in response to a ToolExecutionRequest.

ToolExecutionResultMessage(String, String, String) - Constructor for class dev.langchain4j.data.message.ToolExecutionResultMessage

Creates a ToolExecutionResultMessage.

toolExecutions() - Method in class dev.langchain4j.service.Result

toolExecutions(List<ToolExecution>) - Method in class dev.langchain4j.service.Result.ResultBuilder

ToolExecutor - Interface in dev.langchain4j.service.tool

A low-level executor/handler of a ToolExecutionRequest.

toolExecutors - Variable in class dev.langchain4j.service.AiServiceContext

ToolMemoryId - Annotation Interface in dev.langchain4j.agent.tool

If a Tool method parameter is annotated with this annotation, memory id (parameter annotated with @MemoryId in AI Service) will be injected automatically.

toolName() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage

Returns the name of the tool.

toolParameters() - Method in class dev.langchain4j.agent.tool.ToolSpecification

Deprecated, for removal: This API element is subject to removal in a future version.

please use ToolSpecification.parameters() instead

ToolParameters - Class in dev.langchain4j.agent.tool

Deprecated, for removal: This API element is subject to removal in a future version.

please use the new JsonObjectSchema API instead to define the schema for tool parameters. Example:

 ToolSpecification.builder()
     .name("weather")
     .description("Returns the current weather in the specified city")
     .parameters(JsonObjectSchema.builder()
         .addStringProperty("city", "The name of the city, e.g., Munich")
         .addEnumProperty("units", List.of("CELSIUS", "FAHRENHEIT"))
         .required("city") // please specify mandatory properties explicitly
         .build())
     .build();

ToolParameters.Builder - Class in dev.langchain4j.agent.tool

Deprecated.

ToolParameters builder static inner class.

toolProvider - Variable in class dev.langchain4j.service.AiServiceContext

toolProvider(ToolProvider) - Method in class dev.langchain4j.service.AiServices

Configures the tool provider that the LLM can use

ToolProvider - Interface in dev.langchain4j.service.tool

A tool provider.

ToolProviderRequest - Class in dev.langchain4j.service.tool

ToolProviderRequest(Object, UserMessage) - Constructor for class dev.langchain4j.service.tool.ToolProviderRequest

ToolProviderResult - Class in dev.langchain4j.service.tool

ToolProviderResult(Map<ToolSpecification, ToolExecutor>) - Constructor for class dev.langchain4j.service.tool.ToolProviderResult

ToolProviderResult.Builder - Class in dev.langchain4j.service.tool

tools - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

tools() - Method in class dev.langchain4j.service.tool.ToolProviderResult

tools(Object...) - Method in class dev.langchain4j.service.AiServices

Configures the tools that the LLM can use.

tools(List<Object>) - Method in class dev.langchain4j.service.AiServices

Configures the tools that the LLM can use.

tools(Map<ToolSpecification, ToolExecutor>) - Method in class dev.langchain4j.service.AiServices

Configures the tools that the LLM can use.

ToolSpecification - Class in dev.langchain4j.agent.tool

Describes a tool that language model can execute.

ToolSpecification.Builder - Class in dev.langchain4j.agent.tool

ToolSpecification builder static inner class.

toolSpecificationFrom(Method) - Static method in class dev.langchain4j.agent.tool.ToolSpecifications

Returns the ToolSpecification for the given method annotated with @Tool.

toolSpecifications - Variable in class dev.langchain4j.service.AiServiceContext

toolSpecifications() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest

toolSpecifications() - Method in class dev.langchain4j.model.chat.request.ChatRequest

toolSpecifications(ToolSpecification...) - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder

toolSpecifications(List<ToolSpecification>) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder

toolSpecifications(List<ToolSpecification>) - Method in class dev.langchain4j.model.chat.request.ChatRequest.Builder

ToolSpecifications - Class in dev.langchain4j.agent.tool

Utility methods for ToolSpecifications.

toolSpecificationsFrom(Class<?>) - Static method in class dev.langchain4j.agent.tool.ToolSpecifications

Returns ToolSpecifications for all methods annotated with @Tool within the specified class.

toolSpecificationsFrom(Object) - Static method in class dev.langchain4j.agent.tool.ToolSpecifications

Returns ToolSpecifications for all methods annotated with @Tool within the class of the specified object.

toolUseId - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolResultContent

toOpenAiMessage(ChatMessage) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

toOpenAiMessages(List<ChatMessage>) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

topK - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

topK - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

topK - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

topK - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

topK(Integer) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder

topK(Integer) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder

topK(Integer) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder

topK(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder

topK(Integer) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder

topK(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder

topK(Integer) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder

topK(Integer) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder

The number of most relevant documents to return.

topP - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageRequest

topP - Variable in class dev.langchain4j.model.bedrock.internal.AbstractSharedBedrockChatModel

topP - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

topP - Variable in class dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel

topP() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest

topP(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder

topP(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder

topP(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder

topP(Double) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder

topP(Double) - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder

topP(Double) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder

topP(Double) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder

topP(Double) - Method in class dev.langchain4j.model.huggingface.client.Parameters.Builder

topP(Double) - Method in class dev.langchain4j.model.ollama.OllamaChatModel.OllamaChatModelBuilder

topP(Double) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder

topP(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder

topP(Double) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder

topP(Double) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

topP(Double) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

topP(Double) - Method in class dev.langchain4j.model.vertexai.VertexAiChatModel.Builder

topP(Double) - Method in class dev.langchain4j.model.vertexai.VertexAiLanguageModel.Builder

toPrompt(Object) - Method in class dev.langchain4j.model.input.structured.DefaultStructuredPromptFactory

toPrompt(Object) - Static method in class dev.langchain4j.model.input.structured.StructuredPromptProcessor

Converts the given structured prompt to a prompt.

toPrompt(Object) - Method in interface dev.langchain4j.spi.prompt.structured.StructuredPromptFactory

Converts the given structured prompt to a prompt.

toString() - Method in class dev.langchain4j.agent.tool.JsonSchemaProperty

Deprecated.

toString() - Method in class dev.langchain4j.agent.tool.ToolExecutionRequest

toString() - Method in class dev.langchain4j.agent.tool.ToolParameters

Deprecated.

toString() - Method in class dev.langchain4j.agent.tool.ToolSpecification

toString() - Method in class dev.langchain4j.chain.ConversationalChain.ConversationalChainBuilder

toString() - Method in record class dev.langchain4j.classification.ClassificationResult

Returns a string representation of this record class.

toString() - Method in record class dev.langchain4j.classification.ScoredLabel

Returns a string representation of this record class.

toString() - Method in class dev.langchain4j.data.audio.Audio

toString() - Method in class dev.langchain4j.data.document.Document

toString() - Method in class dev.langchain4j.data.document.Metadata

toString() - Method in class dev.langchain4j.data.embedding.Embedding

toString() - Method in class dev.langchain4j.data.image.Image

toString() - Method in class dev.langchain4j.data.message.AiMessage

toString() - Method in class dev.langchain4j.data.message.AudioContent

toString() - Method in class dev.langchain4j.data.message.ImageContent

toString() - Method in class dev.langchain4j.data.message.PdfFileContent

toString() - Method in class dev.langchain4j.data.message.SystemMessage

toString() - Method in class dev.langchain4j.data.message.TextContent

toString() - Method in class dev.langchain4j.data.message.TextFileContent

toString() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage

toString() - Method in class dev.langchain4j.data.message.UserMessage

toString() - Method in class dev.langchain4j.data.message.VideoContent

toString() - Method in class dev.langchain4j.data.pdf.PdfFile

toString() - Method in class dev.langchain4j.data.segment.TextSegment

toString() - Method in class dev.langchain4j.data.text.TextFile

toString() - Method in class dev.langchain4j.data.video.Video

toString() - Method in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName

toString() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName

toString() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName

toString() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName

toString() - Method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName

toString() - Method in class dev.langchain4j.model.chat.listener.ChatModelRequest.ChatModelRequestBuilder

toString() - Method in class dev.langchain4j.model.chat.listener.ChatModelResponse.ChatModelResponseBuilder

toString() - Method in class dev.langchain4j.model.chat.request.ChatRequest

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonAnyOfSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonArraySchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonBooleanSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonEnumSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonIntegerSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonNumberSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonObjectSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonReferenceSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonSchema

toString() - Method in class dev.langchain4j.model.chat.request.json.JsonStringSchema

toString() - Method in class dev.langchain4j.model.chat.request.ResponseFormat

toString() - Method in class dev.langchain4j.model.chat.response.ChatResponse

toString() - Method in enum class dev.langchain4j.model.github.GitHubModelsChatModelName

toString() - Method in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName

toString() - Method in class dev.langchain4j.model.huggingface.client.Options

toString() - Method in class dev.langchain4j.model.huggingface.client.Parameters

toString() - Method in class dev.langchain4j.model.huggingface.client.TextGenerationRequest

toString() - Method in class dev.langchain4j.model.input.Prompt

toString() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationRequest

Returns a string representation of this record class.

toString() - Method in record class dev.langchain4j.model.mistralai.internal.api.MistralAiModerationResponse

Returns a string representation of this record class.

toString() - Method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormatType

Returns the string representation in lowercase of the response format type.

toString() - Method in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName

toString() - Method in enum class dev.langchain4j.model.mistralai.MistralAiEmbeddingModelName

Returns the string representation of the embedding model.

toString() - Method in class dev.langchain4j.model.moderation.Moderation

toString() - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

toString() - Method in enum class dev.langchain4j.model.openai.OpenAiChatModelName

toString() - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder

toString() - Method in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName

toString() - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder

toString() - Method in enum class dev.langchain4j.model.openai.OpenAiImageModelName

toString() - Method in class dev.langchain4j.model.openai.OpenAiLanguageModel.OpenAiLanguageModelBuilder

toString() - Method in enum class dev.langchain4j.model.openai.OpenAiLanguageModelName

toString() - Method in class dev.langchain4j.model.openai.OpenAiModerationModel.OpenAiModerationModelBuilder

toString() - Method in enum class dev.langchain4j.model.openai.OpenAiModerationModelName

toString() - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

toString() - Method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel.OpenAiStreamingLanguageModelBuilder

toString() - Method in class dev.langchain4j.model.output.Response

toString() - Method in class dev.langchain4j.model.output.TokenUsage

toString() - Method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName

toString() - Method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio

toString() - Method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle

toString() - Method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.MimeType

toString() - Method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration

toString() - Method in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName

toString() - Method in enum class dev.langchain4j.model.voyageai.VoyageAiScoringModelName

toString() - Method in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName

toString() - Method in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName

toString() - Method in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName

toString() - Method in class dev.langchain4j.rag.AugmentationResult.AugmentationResultBuilder

toString() - Method in class dev.langchain4j.rag.content.aggregator.ReRankingContentAggregator.ReRankingContentAggregatorBuilder

toString() - Method in class dev.langchain4j.rag.content.Content

toString() - Method in class dev.langchain4j.rag.content.injector.DefaultContentInjector.DefaultContentInjectorBuilder

toString() - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever.EmbeddingStoreContentRetrieverBuilder

toString() - Method in class dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever

toString() - Method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever.WebSearchContentRetrieverBuilder

toString() - Method in class dev.langchain4j.rag.DefaultRetrievalAugmentor.DefaultRetrievalAugmentorBuilder

toString() - Method in class dev.langchain4j.rag.query.Metadata

toString() - Method in class dev.langchain4j.rag.query.Query

toString() - Method in class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.LanguageModelQueryRouterBuilder

toString() - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer.CompressingQueryTransformerBuilder

toString() - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer.ExpandingQueryTransformerBuilder

toString() - Method in class dev.langchain4j.service.Result.ResultBuilder

toString() - Method in class dev.langchain4j.service.tool.ToolExecution

toString() - Method in class dev.langchain4j.store.embedding.EmbeddingMatch

toString() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest.EmbeddingSearchRequestBuilder

toString() - Method in class dev.langchain4j.store.embedding.EmbeddingSearchRequest

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsEqualTo

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThan

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsGreaterThanOrEqualTo

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsIn

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThan

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsLessThanOrEqualTo

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotEqualTo

toString() - Method in class dev.langchain4j.store.embedding.filter.comparison.IsNotIn

toString() - Method in class dev.langchain4j.store.embedding.filter.logical.And

toString() - Method in class dev.langchain4j.store.embedding.filter.logical.Not

toString() - Method in class dev.langchain4j.store.embedding.filter.logical.Or

toString() - Method in record class dev.langchain4j.store.embedding.infinispan.InfinispanStoreConfiguration

Returns a string representation of this record class.

toString() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainInfinispanItem

Returns a string representation of this record class.

toString() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata

Returns a string representation of this record class.

toString() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatch

toString() - Method in class dev.langchain4j.store.embedding.tablestore.IsTextMatchPhrase

toString() - Method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine.ImageSearchResult

toString() - Method in class dev.langchain4j.web.search.WebSearchInformationResult

toString() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult

toString() - Method in class dev.langchain4j.web.search.WebSearchRequest

toString() - Method in class dev.langchain4j.web.search.WebSearchResults

toSystemMessage() - Method in class dev.langchain4j.model.input.Prompt

Convert this prompt to a SystemMessage.

totalResults() - Method in class dev.langchain4j.web.search.WebSearchInformationResult

Gets the total number of results.

totalTokenCount() - Method in class dev.langchain4j.model.output.TokenUsage

Returns the total token count, or null if unknown.

totalTokens - Variable in class dev.langchain4j.model.jina.internal.api.JinaUsage

toTextSegment() - Method in class dev.langchain4j.data.document.Document

Builds a TextSegment from this document.

toTextSegment() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult

Converts this WebSearchOrganicResult to a TextSegment.

toTextSegments() - Method in class dev.langchain4j.web.search.WebSearchResults

Converts the organic search results to a list of text segments.

toTokenUsage(AnthropicUsage) - Static method in class dev.langchain4j.model.anthropic.internal.mapper.AnthropicMapper

toToolExecutionRequest(MistralAiToolCall) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

toToolExecutionRequests(List<MistralAiToolCall>) - Static method in class dev.langchain4j.model.mistralai.internal.mapper.MistralAiMapper

toTools(Collection<ToolSpecification>, boolean) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

toUserMessage() - Method in class dev.langchain4j.model.input.Prompt

Convert this prompt to a UserMessage.

toUserMessage(String) - Method in class dev.langchain4j.model.input.Prompt

Convert this prompt to a UserMessage with specified userName.

transform(Document) - Method in interface dev.langchain4j.data.document.DocumentTransformer

Transforms a provided document.

transform(Document) - Method in class dev.langchain4j.data.document.transformer.jsoup.HtmlToTextDocumentTransformer

transform(TextSegment) - Method in interface dev.langchain4j.data.segment.TextSegmentTransformer

Transforms a provided segment.

transform(Query) - Method in class dev.langchain4j.rag.query.transformer.CompressingQueryTransformer

transform(Query) - Method in class dev.langchain4j.rag.query.transformer.DefaultQueryTransformer

transform(Query) - Method in class dev.langchain4j.rag.query.transformer.ExpandingQueryTransformer

transform(Query) - Method in interface dev.langchain4j.rag.query.transformer.QueryTransformer

Transforms the given Query into one or multiple Querys.

transformAll(List<Document>) - Method in interface dev.langchain4j.data.document.DocumentTransformer

Transforms all the provided documents.

transformAll(List<TextSegment>) - Method in interface dev.langchain4j.data.segment.TextSegmentTransformer

Transforms all the provided segments.

truncation(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel.Builder

Whether to truncate the input texts to fit within the context length.

truncation(Boolean) - Method in class dev.langchain4j.model.voyageai.VoyageAiScoringModel.Builder

Whether to truncate the input to satisfy the "context length limit" on the query and the documents.

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicContent

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicDelta

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicImageContentSource

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicMessageContent

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData

type - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolSchema

type() - Method in class dev.langchain4j.agent.tool.ToolParameters

Deprecated.

Returns the type of the tool.

type() - Method in class dev.langchain4j.data.message.AiMessage

type() - Method in class dev.langchain4j.data.message.AudioContent

type() - Method in interface dev.langchain4j.data.message.ChatMessage

The type of the message.

type() - Method in interface dev.langchain4j.data.message.Content

Returns the type of content.

type() - Method in class dev.langchain4j.data.message.ImageContent

type() - Method in class dev.langchain4j.data.message.PdfFileContent

type() - Method in class dev.langchain4j.data.message.SystemMessage

type() - Method in class dev.langchain4j.data.message.TextContent

type() - Method in class dev.langchain4j.data.message.TextFileContent

type() - Method in class dev.langchain4j.data.message.ToolExecutionResultMessage

type() - Method in class dev.langchain4j.data.message.UserMessage

type() - Method in class dev.langchain4j.data.message.VideoContent

type() - Method in class dev.langchain4j.model.chat.request.ResponseFormat

type() - Method in class dev.langchain4j.store.embedding.filter.builder.sql.ColumnDefinition

type(AnthropicToolChoiceType) - Method in class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoice.Builder

type(ResponseFormatType) - Method in class dev.langchain4j.model.chat.request.ResponseFormat.Builder

type(String) - Static method in class dev.langchain4j.agent.tool.JsonSchemaProperty

Deprecated, for removal: This API element is subject to removal in a future version.

please use the new JsonSchemaElement API instead to define the schema for tool parameters

type(String) - Method in class dev.langchain4j.agent.tool.ToolParameters.Builder

Deprecated, for removal: This API element is subject to removal in a future version.

please use JsonObjectSchema.builder() instead

typeHasRawClass(Type, Class<?>) - Static method in class dev.langchain4j.service.TypeUtils

TypeUtils - Class in dev.langchain4j.internal

TypeUtils - Class in dev.langchain4j.service

TypeUtils() - Constructor for class dev.langchain4j.internal.TypeUtils

TypeUtils() - Constructor for class dev.langchain4j.service.TypeUtils

U

UNA_CYBERTRON_7B_V2_BF16 - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Cybertron 7B v2 is a 7B MistralAI based model, best on it’s series.
UNRECOGNIZED - Enum constant in enum class dev.langchain4j.model.vertexai.HarmCategory
UNRECOGNIZED - Enum constant in enum class dev.langchain4j.model.vertexai.SafetyThreshold
updateMessages(Object, List<ChatMessage>) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore: Updates messages for a specified chat memory.
updateMessages(Object, List<ChatMessage>) - Method in interface dev.langchain4j.store.memory.chat.ChatMemoryStore: Updates messages for a specified chat memory.
updateMessages(Object, List<ChatMessage>) - Method in class dev.langchain4j.store.memory.chat.coherence.CoherenceChatMemoryStore
updateMessages(Object, List<ChatMessage>) - Method in class dev.langchain4j.store.memory.chat.InMemoryChatMemoryStore
updateMessages(Object, List<ChatMessage>) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore
updateMessages(Object, List<ChatMessage>) - Method in class dev.langchain4j.store.memory.chat.tablestore.TablestoreChatMemoryStore
uri(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
url() - Method in class dev.langchain4j.data.audio.Audio: Get the url of the audio.
url() - Method in class dev.langchain4j.data.image.Image: Get the url of the image.
url() - Method in class dev.langchain4j.data.pdf.PdfFile: Get the url of the PDF.
url() - Method in class dev.langchain4j.data.text.TextFile: Get the url of the text file.
url() - Method in class dev.langchain4j.data.video.Video: Get the url of the video.
url() - Method in class dev.langchain4j.web.search.WebSearchOrganicResult: Returns the URL associated with the web page.
url(String) - Method in class dev.langchain4j.data.audio.Audio.Builder: Set the url of the audio.
url(String) - Method in class dev.langchain4j.data.image.Image.Builder: Set the url of the image.
url(String) - Method in class dev.langchain4j.data.pdf.PdfFile.Builder: Set the url of the PDF document.
url(String) - Method in class dev.langchain4j.data.text.TextFile.Builder: Set the url of the text document.
url(String) - Method in class dev.langchain4j.data.video.Video.Builder: Set the url of the video.
url(URI) - Method in class dev.langchain4j.data.audio.Audio.Builder: Set the url of the audio.
url(URI) - Method in class dev.langchain4j.data.image.Image.Builder: Set the url of the image.
url(URI) - Method in class dev.langchain4j.data.pdf.PdfFile.Builder: Set the url of the PDF document.
url(URI) - Method in class dev.langchain4j.data.text.TextFile.Builder: Set the url of the text document.
url(URI) - Method in class dev.langchain4j.data.video.Video.Builder: Set the url of the video.
URL - Static variable in class dev.langchain4j.data.document.Document: Common metadata key for the URL from which the document was loaded.
UrlDocumentLoader - Class in dev.langchain4j.data.document.loader
UrlDocumentLoader() - Constructor for class dev.langchain4j.data.document.loader.UrlDocumentLoader
UrlSource - Class in dev.langchain4j.data.document.source
UrlSource(URL) - Constructor for class dev.langchain4j.data.document.source.UrlSource
usage - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicCreateMessageResponse
usage - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicResponseMessage
usage - Variable in class dev.langchain4j.model.anthropic.internal.api.AnthropicStreamingData
usage - Variable in class dev.langchain4j.model.jina.internal.api.JinaEmbeddingResponse
usage - Variable in class dev.langchain4j.model.jina.internal.api.JinaRerankingResponse
useAsyncClient(boolean) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
If you want to continue using sync client, use AzureOpenAiChatModel instead.
useCache(Boolean) - Method in class dev.langchain4j.model.huggingface.client.Options.Builder
user - Enum constant in enum class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.MessageRole: The message is from the user.
user(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
user(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder: Sets the user of the image.
user(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
user(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
user(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
user(String) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder
user(String) - Method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel.OpenAiEmbeddingModelBuilder
user(String) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
user(String) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder
user(String) - Method in class dev.langchain4j.store.embedding.redis.RedisEmbeddingStore.Builder
user(String) - Method in class dev.langchain4j.store.memory.chat.redis.RedisChatMemoryStore.Builder
USER - Enum constant in enum class dev.langchain4j.data.message.ChatMessageType: A message from the user.
USER - Enum constant in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicRole
USER - Enum constant in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiChatModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiImageModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiLanguageModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingChatModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.azure.AzureOpenAiStreamingLanguageModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.github.GitHubModelsChatModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.github.GitHubModelsEmbeddingModel.Builder
userAgentSuffix(String) - Method in class dev.langchain4j.model.github.GitHubModelsStreamingChatModel.Builder
userMessage() - Method in class dev.langchain4j.rag.query.Metadata
userMessage() - Method in class dev.langchain4j.service.tool.ToolProviderRequest
userMessage(Content...) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from contents.
userMessage(String) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a text.
userMessage(String, Content...) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and contents.
userMessage(String, String) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and a text.
userMessage(String, List<Content>) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from a name and contents.
userMessage(List<Content>) - Static method in class dev.langchain4j.data.message.UserMessage: Create a UserMessage from contents.
UserMessage - Class in dev.langchain4j.data.message: Represents a message from a user, typically an end user of the application.
UserMessage - Annotation Interface in dev.langchain4j.service: Specifies either a complete user message or a user message template to be used each time an AI service is invoked.
UserMessage(Content...) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from one or multiple Contents.
UserMessage(String) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from a text.
UserMessage(String, Content...) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from a name and one or multiple Contents.
UserMessage(String, String) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from a name and a text.
UserMessage(String, List<Content>) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from a name and a list of Contents.
UserMessage(List<Content>) - Constructor for class dev.langchain4j.data.message.UserMessage: Creates a UserMessage from a list of Contents.
username(String) - Method in class dev.langchain4j.store.embedding.couchbase.CouchbaseEmbeddingStore.Builder
username(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
userName(String) - Method in class dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore.Builder
userName(String) - Method in class dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder: Deprecated, for removal: This API element is subject to removal in a future version.
call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
userName(String) - Method in class dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore.Builder
userName(String) - Method in class dev.langchain4j.store.memory.chat.cassandra.CassandraChatMemoryStore.Builder
UserName - Annotation Interface in dev.langchain4j.service: The value of a method parameter annotated with @UserName will be injected into the field 'name' of a UserMessage.
useTls(boolean) - Method in class dev.langchain4j.store.embedding.qdrant.QdrantEmbeddingStore.Builder
Utils - Class in dev.langchain4j.internal: Utility methods.

V

V - Annotation Interface in dev.langchain4j.service: When a parameter of a method in an AI Service is annotated with @V, it becomes a prompt template variable.
validate(String) - Method in class dev.langchain4j.experimental.rag.content.retriever.sql.SqlDatabaseContentRetriever
validateReturnTypesAreProperlyParametrized(String, Type) - Static method in class dev.langchain4j.service.TypeUtils: Ensures that no wildcard and/or parametrized types are being used as service method return type.
validateSpecifications(List<ToolSpecification>) - Static method in class dev.langchain4j.agent.tool.ToolSpecifications: Validates all the ToolSpecifications.
validateStructuredPrompt(Object) - Static method in class dev.langchain4j.model.input.structured.StructuredPrompt.Util: Validates that the given object is annotated with StructuredPrompt.
ValidationUtils - Class in dev.langchain4j.internal: Utility class for validating method arguments.
value() - Method in class dev.langchain4j.agent.tool.JsonSchemaProperty: Deprecated.

Get the value.
value() - Element in annotation interface dev.langchain4j.agent.tool.P: Description of a parameter
value() - Element in annotation interface dev.langchain4j.agent.tool.Tool: Description of the tool.
value() - Element in annotation interface dev.langchain4j.model.input.structured.StructuredPrompt: Prompt template can be defined in one line or multiple lines.
value() - Element in annotation interface dev.langchain4j.model.output.structured.Description: The description can be defined in one line or multiple lines.
value() - Element in annotation interface dev.langchain4j.service.SystemMessage: Prompt template can be defined in one line or multiple lines.
value() - Element in annotation interface dev.langchain4j.service.UserMessage: Prompt template can be defined in one line or multiple lines.
value() - Element in annotation interface dev.langchain4j.service.V: Name of a variable (placeholder) in a prompt template.
value() - Method in record class dev.langchain4j.store.embedding.infinispan.LangChainMetadata: Returns the value of the value record component.
valueOf(String) - Static method in enum class dev.langchain4j.data.message.ChatMessageType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.data.message.ContentType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.data.message.ImageContent.DetailLevel: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicContentBlockType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicRole: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoiceType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.ReturnLikelihood: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockTitanChatModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel.Types: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.chat.Capability: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.chat.request.ResponseFormatType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.github.GitHubModelsChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.googleai.GeminiHarmCategory: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.googleai.GeminiMode: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormatType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolChoiceName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.mistralai.MistralAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiImageModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiLanguageModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.openai.OpenAiModerationModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.output.FinishReason: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.HarmCategory: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.SafetyThreshold: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.ToolCallingMode: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.MimeType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.voyageai.VoyageAiScoringModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.MessageRole: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.FallbackStrategy: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.store.embedding.oracle.CreateOption: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class dev.langchain4j.store.embedding.pgvector.MetadataStorageMode: Returns the enum constant of this class with the specified name.
values() - Static method in enum class dev.langchain4j.data.message.ChatMessageType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.data.message.ContentType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.data.message.ImageContent.DetailLevel: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.anthropic.AnthropicChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicCacheType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicContentBlockType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicRole: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.anthropic.internal.api.AnthropicToolChoiceType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiImageModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.azure.AzureOpenAiLanguageModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockAI21LabsChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicCompletionChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicMessageChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockAnthropicStreamingChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.ReturnLikelihood: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockCohereChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockLlamaChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockMistralAiChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.StylePreset: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockStabilityAIChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockTitanChatModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.bedrock.BedrockTitanEmbeddingModel.Types: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.chat.Capability: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.chat.request.ResponseFormatType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.github.GitHubModelsChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.github.GitHubModelsEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.googleai.GeminiHarmBlockThreshold: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.googleai.GeminiHarmCategory: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.googleai.GeminiMode: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.googleai.GoogleAiEmbeddingModel.TaskType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiResponseFormatType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiRole: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolChoiceName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.internal.api.MistralAiToolType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.MistralAiChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.mistralai.MistralAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.openai.OpenAiChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.openai.OpenAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.openai.OpenAiImageModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.openai.OpenAiLanguageModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.openai.OpenAiModerationModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.output.FinishReason: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.HarmCategory: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.SafetyThreshold: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.ToolCallingMode: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel.TaskType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.AspectRatio: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.MimeType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.PersonGeneration: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.voyageai.VoyageAiScoringModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest.MessageRole: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.workersai.WorkersAiEmbeddingModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.model.workersai.WorkersAiImageModelName: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.rag.query.router.LanguageModelQueryRouter.FallbackStrategy: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.SimilarityMetric: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.store.embedding.oracle.CreateOption: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class dev.langchain4j.store.embedding.pgvector.MetadataStorageMode: Returns an array containing the constants of this enum class, in the order they are declared.
vector() - Method in class dev.langchain4j.data.embedding.Embedding: Returns the vector.
VECTOR - Enum constant in enum class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType: Uses the vector search algorithm to find the most similar TextSegments.
VECTOR_ALGORITHM_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
VECTOR_HNSW - Enum constant in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType
VECTOR_IVF - Enum constant in enum class dev.langchain4j.store.embedding.azure.cosmos.mongo.vcore.AzureCosmosDbMongoVCoreEmbeddingStore.VectorIndexType
VECTOR_SEARCH_PROFILE_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore
vectorAsList() - Method in class dev.langchain4j.data.embedding.Embedding: Returns a copy of the vector as a list.
vectorFieldName(String) - Method in class dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore.Builder
vectorIndex(CreateOption) - Method in class dev.langchain4j.store.embedding.oracle.OracleEmbeddingStore.Builder: Configures the creation of an index on the embedding column of the EmbeddingTable used by the embedding store.
verifyModerationIfNeeded(Future<Moderation>) - Static method in class dev.langchain4j.service.AiServices
version - Variable in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
version(String) - Method in class dev.langchain4j.model.anthropic.internal.client.AnthropicClient.Builder
VertexAiChatModel - Class in dev.langchain4j.model.vertexai: Represents a Google Vertex AI language model with a chat completion interface, such as chat-bison.
VertexAiChatModel(String, String, String, String, String, Double, Integer, Integer, Double, Integer) - Constructor for class dev.langchain4j.model.vertexai.VertexAiChatModel
VertexAiChatModel.Builder - Class in dev.langchain4j.model.vertexai
VertexAiChatModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiChatModel.Builder instances.
VertexAiEmbeddingModel - Class in dev.langchain4j.model.vertexai: Represents a Google Vertex AI embedding model, such as textembedding-gecko.
VertexAiEmbeddingModel(String, String, String, String, String, Integer, Integer, Integer, VertexAiEmbeddingModel.TaskType, String, Integer, Boolean) - Constructor for class dev.langchain4j.model.vertexai.VertexAiEmbeddingModel
VertexAiEmbeddingModel.Builder - Class in dev.langchain4j.model.vertexai
VertexAiEmbeddingModel.TaskType - Enum Class in dev.langchain4j.model.vertexai
VertexAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiChatModel.Builder instances.
VertexAiEmbeddingModelName - Enum Class in dev.langchain4j.model.vertexai
VertexAiGeminiChatModel - Class in dev.langchain4j.model.vertexai: Represents a Google Vertex AI Gemini language model with a chat completion interface, such as gemini-pro.
VertexAiGeminiChatModel(GenerativeModel, GenerationConfig) - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
VertexAiGeminiChatModel(GenerativeModel, GenerationConfig, Integer) - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
VertexAiGeminiChatModel(String, String, String, Float, Integer, Integer, Float, Integer, Integer, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel
VertexAiGeminiChatModel.VertexAiGeminiChatModelBuilder - Class in dev.langchain4j.model.vertexai
VertexAiGeminiChatModelBuilder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel.VertexAiGeminiChatModelBuilder
VertexAiGeminiChatModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiGeminiChatModel.VertexAiGeminiChatModelBuilder instances.
VertexAiGeminiStreamingChatModel - Class in dev.langchain4j.model.vertexai: Represents a Google Vertex AI Gemini language model with a stream chat completion interface, such as gemini-pro.
VertexAiGeminiStreamingChatModel(GenerativeModel, GenerationConfig) - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
VertexAiGeminiStreamingChatModel(String, String, String, Float, Integer, Integer, Float, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>) - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel
VertexAiGeminiStreamingChatModel.VertexAiGeminiStreamingChatModelBuilder - Class in dev.langchain4j.model.vertexai
VertexAiGeminiStreamingChatModelBuilder() - Constructor for class dev.langchain4j.model.vertexai.VertexAiGeminiStreamingChatModel.VertexAiGeminiStreamingChatModelBuilder
VertexAiGeminiStreamingChatModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiGeminiStreamingChatModel.VertexAiGeminiStreamingChatModelBuilder instances.
VertexAiImageModel - Class in dev.langchain4j.model.vertexai: Image model for the Google Cloud Vertex AI Imagen image generation models.
VertexAiImageModel(String, String, String, String, String, Long, String, Integer, String, VertexAiImageModel.ImageStyle, Integer, VertexAiImageModel.AspectRatio, VertexAiImageModel.PersonGeneration, Integer, VertexAiImageModel.MimeType, Integer, Boolean, String, Boolean, Path, Boolean, Boolean) - Constructor for class dev.langchain4j.model.vertexai.VertexAiImageModel: Constructor of the Imagen image generation model.
VertexAiImageModel.AspectRatio - Enum Class in dev.langchain4j.model.vertexai: Supported aspect ratios: 1:1, 9:16, 16:9, 4:3, and 3:4.
VertexAiImageModel.Builder - Class in dev.langchain4j.model.vertexai
VertexAiImageModel.ImageStyle - Enum Class in dev.langchain4j.model.vertexai: Image style can be specified for imagen@002.
VertexAiImageModel.MimeType - Enum Class in dev.langchain4j.model.vertexai: Supported mime types: only PNG and JPEG image formats can be generated.
VertexAiImageModel.PersonGeneration - Enum Class in dev.langchain4j.model.vertexai: Specify whether persons are allowed to be generated.
VertexAiImageModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiImageModel.Builder instances.
VertexAiLanguageModel - Class in dev.langchain4j.model.vertexai: Represents a Google Vertex AI language model with a text interface, such as text-bison.
VertexAiLanguageModel(String, String, String, String, String, Double, Integer, Integer, Double, Integer) - Constructor for class dev.langchain4j.model.vertexai.VertexAiLanguageModel
VertexAiLanguageModel.Builder - Class in dev.langchain4j.model.vertexai
VertexAiLanguageModelBuilderFactory - Interface in dev.langchain4j.model.vertexai.spi: A factory for building VertexAiLanguageModel.Builder instances.
VertexAiScoringModel - Class in dev.langchain4j.model.vertexai: Implementation of a ScoringModel for the Google Cloud Vertex AI Ranking API.
VertexAiScoringModel(String, String, String, String, String) - Constructor for class dev.langchain4j.model.vertexai.VertexAiScoringModel: Constructor for the Vertex AI Ranker Scoring Model.
VertexAiScoringModel.Builder - Class in dev.langchain4j.model.vertexai
VespaEmbeddingStore - Class in dev.langchain4j.store.embedding.vespa: Represents the Vespa - search engine and vector database.
VespaEmbeddingStore(String, String, String, Duration, String, String, String, Integer, Boolean) - Constructor for class dev.langchain4j.store.embedding.vespa.VespaEmbeddingStore: Creates a new VespaEmbeddingStore instance.
video() - Method in class dev.langchain4j.data.message.VideoContent: Get the Video.
Video - Class in dev.langchain4j.data.video
VIDEO - Enum constant in enum class dev.langchain4j.data.message.ContentType: Video content.
Video.Builder - Class in dev.langchain4j.data.video: Builder for Video.
VideoContent - Class in dev.langchain4j.data.message
VideoContent(Video) - Constructor for class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given video.
VideoContent(String) - Constructor for class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given url.
VideoContent(String, String) - Constructor for class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given base64 data and mime type.
VideoContent(URI) - Constructor for class dev.langchain4j.data.message.VideoContent: Create a new VideoContent from the given url.
VisitedClassMetadata(JsonSchemaElement, String, boolean) - Constructor for class dev.langchain4j.model.chat.request.json.JsonSchemaElementHelper.VisitedClassMetadata
VOYAGE_3 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VOYAGE_3_LITE - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VOYAGE_CODE_2 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VOYAGE_FINANCE_2 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VOYAGE_LAW_2 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VOYAGE_MULTILINGUAL_2 - Enum constant in enum class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModelName
VoyageAiEmbeddingModel - Class in dev.langchain4j.model.voyageai: An implementation of an EmbeddingModel that uses Voyage AI Embedding API.
VoyageAiEmbeddingModel(String, Duration, Integer, String, String, String, Boolean, String, Boolean, Boolean, Integer) - Constructor for class dev.langchain4j.model.voyageai.VoyageAiEmbeddingModel
VoyageAiEmbeddingModel.Builder - Class in dev.langchain4j.model.voyageai
VoyageAiEmbeddingModelName - Enum Class in dev.langchain4j.model.voyageai
VoyageAiScoringModel - Class in dev.langchain4j.model.voyageai: An implementation of a ScoringModel that uses Voyage AI Rerank API.
VoyageAiScoringModel(String, Duration, Integer, String, String, Integer, Boolean, Boolean, Boolean) - Constructor for class dev.langchain4j.model.voyageai.VoyageAiScoringModel
VoyageAiScoringModel.Builder - Class in dev.langchain4j.model.voyageai
VoyageAiScoringModelName - Enum Class in dev.langchain4j.model.voyageai

W

waitForModel(Boolean) - Method in class dev.langchain4j.model.huggingface.client.Options.Builder
waitForModel(Boolean) - Method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel.Builder
waitForModel(Boolean) - Method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel.Builder
WATERCOLOR - Enum constant in enum class dev.langchain4j.model.vertexai.VertexAiImageModel.ImageStyle
watermark(Boolean) - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
WeaviateEmbeddingStore - Class in dev.langchain4j.store.embedding.weaviate: Represents the Weaviate vector database.
WeaviateEmbeddingStore(String, String, String, Integer, Boolean, Boolean, Integer, String, Boolean, String, Collection<String>, String, String) - Constructor for class dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore: Creates a new WeaviateEmbeddingStore instance.
webDriver(WebDriver) - Method in class dev.langchain4j.data.document.loader.selenium.SeleniumDocumentLoader.Builder
WebSearchContentRetriever - Class in dev.langchain4j.rag.content.retriever: A ContentRetriever that retrieves relevant Content from the web using a WebSearchEngine.
WebSearchContentRetriever(WebSearchEngine, Integer) - Constructor for class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever
WebSearchContentRetriever.WebSearchContentRetrieverBuilder - Class in dev.langchain4j.rag.content.retriever
webSearchEngine(WebSearchEngine) - Method in class dev.langchain4j.rag.content.retriever.WebSearchContentRetriever.WebSearchContentRetrieverBuilder
WebSearchEngine - Interface in dev.langchain4j.web.search: Represents a web search engine that can be used to perform searches on the Web in response to a user query.
WebSearchInformationResult - Class in dev.langchain4j.web.search: Represents general information about the web search performed.
WebSearchInformationResult(Long) - Constructor for class dev.langchain4j.web.search.WebSearchInformationResult: Constructs a new WebSearchInformationResult with the specified total results.
WebSearchInformationResult(Long, Integer, Map<String, Object>) - Constructor for class dev.langchain4j.web.search.WebSearchInformationResult: Constructs a new WebSearchInformationResult with the specified total results, page number, and metadata.
WebSearchOrganicResult - Class in dev.langchain4j.web.search: Represents an organic search results are the web pages that are returned by the search engine in response to a search query.
WebSearchOrganicResult(String, URI) - Constructor for class dev.langchain4j.web.search.WebSearchOrganicResult: Constructs a WebSearchOrganicResult object with the given title and URL.
WebSearchOrganicResult(String, URI, String, String) - Constructor for class dev.langchain4j.web.search.WebSearchOrganicResult: Constructs a WebSearchOrganicResult object with the given title, URL, snippet and/or content.
WebSearchOrganicResult(String, URI, String, String, Map<String, String>) - Constructor for class dev.langchain4j.web.search.WebSearchOrganicResult: Constructs a WebSearchOrganicResult object with the given title, URL, snippet and/or content, and metadata.
WebSearchRequest - Class in dev.langchain4j.web.search: Represents a search request that can be made by the user to perform searches in any implementation of WebSearchEngine.
WebSearchRequest.Builder - Class in dev.langchain4j.web.search
WebSearchResults - Class in dev.langchain4j.web.search: Represents the response of a web search performed.
WebSearchResults(WebSearchInformationResult, List<WebSearchOrganicResult>) - Constructor for class dev.langchain4j.web.search.WebSearchResults: Constructs a new instance of WebSearchResults.
WebSearchResults(Map<String, Object>, WebSearchInformationResult, List<WebSearchOrganicResult>) - Constructor for class dev.langchain4j.web.search.WebSearchResults: Constructs a new instance of WebSearchResults.
WebSearchTool - Class in dev.langchain4j.web.search
WebSearchTool(WebSearchEngine) - Constructor for class dev.langchain4j.web.search.WebSearchTool
withAccessToken(String) - Static method in class dev.langchain4j.model.huggingface.HuggingFaceChatModel
withAccessToken(String) - Static method in class dev.langchain4j.model.huggingface.HuggingFaceEmbeddingModel
withAccessToken(String) - Static method in class dev.langchain4j.model.huggingface.HuggingFaceLanguageModel
withApiKey(String) - Static method in class dev.langchain4j.model.anthropic.AnthropicChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.anthropic.AnthropicStreamingChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.cohere.CohereEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
withApiKey(String) - Static method in class dev.langchain4j.model.cohere.CohereScoringModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
withApiKey(String) - Static method in class dev.langchain4j.model.jina.JinaEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.jina.JinaScoringModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.mistralai.MistralAiChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.mistralai.MistralAiEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.mistralai.MistralAiModels
withApiKey(String) - Static method in class dev.langchain4j.model.mistralai.MistralAiStreamingChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.nomic.NomicEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiImageModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiLanguageModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiModerationModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.openai.OpenAiStreamingLanguageModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.model.ovhai.OvhAiEmbeddingModel: Deprecated, for removal: This API element is subject to removal in a future version.
Please use builder() instead, and explicitly set the baseUrl and, if necessary, other parameters. The default value for baseUrl will be removed in future releases!
withApiKey(String) - Static method in class dev.langchain4j.web.search.searchapi.SearchApiWebSearchEngine
withApiKey(String) - Static method in class dev.langchain4j.web.search.tavily.TavilyWebSearchEngine
withApiKeyAndCsi(String, String) - Static method in class dev.langchain4j.web.search.google.customsearch.GoogleCustomWebSearchEngine: Creates a new builder for constructing a GoogleCustomWebSearchEngine with the specified API key and Custom Search ID.
withBasicAuth(String, String, String) - Method in class dev.langchain4j.store.embedding.neo4j.Neo4jEmbeddingStore.Neo4jEmbeddingStoreBuilder
withMaxMessages(int) - Static method in class dev.langchain4j.memory.chat.MessageWindowChatMemory
withMaxTokens(int, Tokenizer) - Static method in class dev.langchain4j.memory.chat.TokenWindowChatMemory
withPersisting() - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
withPersisting() - Method in class dev.langchain4j.model.vertexai.VertexAiImageModel.Builder
withPersisting(Boolean) - Method in class dev.langchain4j.model.openai.OpenAiImageModel.OpenAiImageModelBuilder
withRetry(Callable<T>) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy: This method attempts to execute a given action up to a specified number of times with a 1-second delay.
withRetry(Callable<T>) - Static method in class dev.langchain4j.internal.RetryUtils: This method attempts to execute a given action up to a specified number of times with a 1-second delay.
withRetry(Callable<T>, int) - Method in class dev.langchain4j.internal.RetryUtils.RetryPolicy: This method attempts to execute a given action up to a specified number of times with a 1-second delay.
withRetry(Callable<T>, int) - Static method in class dev.langchain4j.internal.RetryUtils: This method attempts to execute a given action up to a specified number of times with a 1-second delay.
workerAiClient - Variable in class dev.langchain4j.model.workersai.client.AbstractWorkersAIModel: OkHttpClient for the WorkerAI API.
WorkersAiApi - Interface in dev.langchain4j.model.workersai.client: Public interface to interact with the WorkerAI API.
WorkersAiChatCompletionRequest - Class in dev.langchain4j.model.workersai.client: Represents a request for AI chat completion.
WorkersAiChatCompletionRequest() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest: Constructs an empty WorkerAiChatCompletionRequest with an empty list of messages.
WorkersAiChatCompletionRequest(WorkersAiChatCompletionRequest.MessageRole, String) - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionRequest: Constructs a WorkerAiChatCompletionRequest with an initial message.
WorkersAiChatCompletionRequest.Message - Class in dev.langchain4j.model.workersai.client: Represents a message in the AI chat.
WorkersAiChatCompletionRequest.MessageRole - Enum Class in dev.langchain4j.model.workersai.client: Defines the roles a message can have in the chat conversation.
WorkersAiChatCompletionResponse - Class in dev.langchain4j.model.workersai.client: Wrapper for the chat completion response.
WorkersAiChatCompletionResponse() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiChatCompletionResponse: Default constructor.
WorkersAiChatModel - Class in dev.langchain4j.model.workersai: WorkerAI Chat model.
WorkersAiChatModel(WorkersAiChatModel.Builder) - Constructor for class dev.langchain4j.model.workersai.WorkersAiChatModel: Constructor with Builder.
WorkersAiChatModel(String, String, String) - Constructor for class dev.langchain4j.model.workersai.WorkersAiChatModel: Constructor with Builder.
WorkersAiChatModel.Builder - Class in dev.langchain4j.model.workersai: Internal Builder.
WorkersAiChatModelBuilderFactory - Interface in dev.langchain4j.model.workersai.spi: A factory for building WorkersAiChatModel.Builder instances.
WorkersAiChatModelName - Enum Class in dev.langchain4j.model.workersai: Enum for Workers AI Chat Model Name.
WorkersAiClient - Class in dev.langchain4j.model.workersai.client: Low level client to interact with the WorkerAI API.
WorkersAiClient() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiClient: Constructor.
WorkersAiClient.AuthInterceptor - Class in dev.langchain4j.model.workersai.client: An interceptor for HTTP requests to add an authorization token to the header.
WorkersAiEmbeddingModel - Class in dev.langchain4j.model.workersai: WorkerAI Embedding model.
WorkersAiEmbeddingModel(WorkersAiEmbeddingModel.Builder) - Constructor for class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Constructor with Builder.
WorkersAiEmbeddingModel(String, String, String) - Constructor for class dev.langchain4j.model.workersai.WorkersAiEmbeddingModel: Constructor with Builder.
WorkersAiEmbeddingModel.Builder - Class in dev.langchain4j.model.workersai: Internal Builder.
WorkersAiEmbeddingModelBuilderFactory - Interface in dev.langchain4j.model.workersai.spi: A factory for building WorkersAiEmbeddingModel.Builder instances.
WorkersAiEmbeddingModelName - Enum Class in dev.langchain4j.model.workersai: Enum for Workers AI Embedding Model Name.
WorkersAiEmbeddingRequest - Class in dev.langchain4j.model.workersai.client: Request to compute embeddings
WorkersAiEmbeddingRequest() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiEmbeddingRequest: Default constructor.
WorkersAiEmbeddingResponse - Class in dev.langchain4j.model.workersai.client: Response to compute embeddings
WorkersAiEmbeddingResponse() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiEmbeddingResponse: Default constructor.
WorkersAiEmbeddingResponse.EmbeddingResult - Class in dev.langchain4j.model.workersai.client: Beam to hold results
WorkersAiImageGenerationRequest - Class in dev.langchain4j.model.workersai.client: Request to generate an image.
WorkersAiImageGenerationRequest() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiImageGenerationRequest: Default constructor.
WorkersAiImageGenerationResponse - Class in dev.langchain4j.model.workersai.client: Response to generate an image.
WorkersAiImageGenerationResponse() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiImageGenerationResponse: Default constructor.
WorkersAiImageGenerationResponse.ImageGenerationResult - Class in dev.langchain4j.model.workersai.client: Body of the image generating process
WorkersAiImageModel - Class in dev.langchain4j.model.workersai: WorkerAI Image model.
WorkersAiImageModel(WorkersAiImageModel.Builder) - Constructor for class dev.langchain4j.model.workersai.WorkersAiImageModel: Constructor with Builder.
WorkersAiImageModel(String, String, String) - Constructor for class dev.langchain4j.model.workersai.WorkersAiImageModel: Constructor with Builder.
WorkersAiImageModel.Builder - Class in dev.langchain4j.model.workersai: Internal Builder.
WorkersAiImageModelBuilderFactory - Interface in dev.langchain4j.model.workersai.spi: A factory for building WorkersAiImageModel.Builder instances.
WorkersAiImageModelName - Enum Class in dev.langchain4j.model.workersai: Enum for Workers AI Omage Model Name.
WorkersAiLanguageModel - Class in dev.langchain4j.model.workersai: WorkerAI Language model.
WorkersAiLanguageModel(WorkersAiLanguageModel.Builder) - Constructor for class dev.langchain4j.model.workersai.WorkersAiLanguageModel: Constructor with Builder.
WorkersAiLanguageModel(String, String, String) - Constructor for class dev.langchain4j.model.workersai.WorkersAiLanguageModel: Constructor with Builder.
WorkersAiLanguageModel.Builder - Class in dev.langchain4j.model.workersai: Internal Builder.
WorkersAiLanguageModelBuilderFactory - Interface in dev.langchain4j.model.workersai.spi: A factory for building WorkersAiLanguageModel.Builder instances.
WorkersAiTextCompletionRequest - Class in dev.langchain4j.model.workersai.client: Request to complete a text.
WorkersAiTextCompletionRequest() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiTextCompletionRequest: Default constructor.
WorkersAiTextCompletionResponse - Class in dev.langchain4j.model.workersai.client: Wrapper for the text completion response.
WorkersAiTextCompletionResponse() - Constructor for class dev.langchain4j.model.workersai.client.WorkersAiTextCompletionResponse: Default constructor.
WorkersAiTextCompletionResponse.TextResponse - Class in dev.langchain4j.model.workersai.client: Wrapper for the text completion response.
writeTo(MessageMarshaller.ProtoStreamWriter, LangChainInfinispanItem) - Method in class dev.langchain4j.store.embedding.infinispan.LangChainItemMarshaller
writeTo(MessageMarshaller.ProtoStreamWriter, LangChainMetadata) - Method in class dev.langchain4j.store.embedding.infinispan.LangChainMetadataMarshaller

X

X_API_KEY - Static variable in interface dev.langchain4j.model.anthropic.internal.api.AnthropicApi

Z

ZEPHYR_7B_BETA_AWQ - Enum constant in enum class dev.langchain4j.model.workersai.WorkersAiChatModelName: Zephyr 7B Beta AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Zephyr model variant.

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