Index

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.chat.request.ToolChoice

The language model is free to decide whether to call one or multiple tools.

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, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, ResponseFormat, Boolean, List<ChatModelListener>, Set<Capability>) - Constructor for class dev.langchain4j.model.azure.AzureOpenAiChatModel

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

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

AzureOpenAiChatModel(String, String, String, String, Tokenizer, Integer, Double, Double, Map<String, Integer>, String, List<String>, Double, Double, List<AzureChatExtensionConfiguration>, AzureChatEnhancementConfiguration, Long, ChatCompletionsResponseFormat, ResponseFormat, Boolean, Duration, Integer, ProxyOptions, boolean, List<ChatModelListener>, String, Map<String, String>, Set<Capability>) - 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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

BedrockAnthropicMessageSanitizer - Class in dev.langchain4j.model.bedrock.internal.sanitizer

Sanitizes the messages to conform to the format expected by the Anthropic API.

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

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.mcp.client.DefaultMcpClient.Builder

build() - Method in class dev.langchain4j.mcp.client.transport.http.HttpMcpTransport.Builder

build() - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport.Builder

build() - Method in class dev.langchain4j.mcp.McpToolProvider.Builder

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.DefaultChatRequestParameters.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.chat.response.ChatResponseMetadata.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.OpenAiChatRequestParameters.Builder

build() - Method in class dev.langchain4j.model.openai.OpenAiChatResponseMetadata.Builder

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.openai.OpenAiTokenUsage.Builder

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.mcp.McpToolProvider

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 interface dev.langchain4j.model.chat.request.ChatRequestParameters

builder() - Static method in class dev.langchain4j.model.chat.request.DefaultChatRequestParameters

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.chat.response.ChatResponseMetadata

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.OpenAiChatRequestParameters

builder() - Static method in class dev.langchain4j.model.openai.OpenAiChatResponseMetadata

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.openai.OpenAiTokenUsage

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.mcp.client.DefaultMcpClient.Builder

Builder() - Constructor for class dev.langchain4j.mcp.client.transport.http.HttpMcpTransport.Builder

Builder() - Constructor for class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport.Builder

Builder() - Constructor for class dev.langchain4j.mcp.McpToolProvider.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.DefaultChatRequestParameters.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.chat.response.ChatResponseMetadata.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.openai.OpenAiChatRequestParameters.Builder

Builder() - Constructor for class dev.langchain4j.model.openai.OpenAiChatResponseMetadata.Builder

Builder() - Constructor for class dev.langchain4j.model.openai.OpenAiTokenUsage.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.

cachedTokens() - Method in record class dev.langchain4j.model.openai.OpenAiTokenUsage.InputTokensDetails

Returns the value of the cachedTokens record component.

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

CancellationNotification - Class in dev.langchain4j.mcp.client.protocol

CancellationNotification(Long, String) - Constructor for class dev.langchain4j.mcp.client.protocol.CancellationNotification

Capabilities() - Constructor for class dev.langchain4j.mcp.client.protocol.InitializeParams.Capabilities

Capability - Enum Class in dev.langchain4j.model.chat

Represents a capability of a ChatLanguageModel or StreamingChatLanguageModel.

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 class dev.langchain4j.model.azure.AzureOpenAiChatModel

chat(ChatRequest) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel

This is the main API to interact with the chat model.

chat(ChatRequest) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

chat(ChatRequest) - Method in class dev.langchain4j.model.ollama.OllamaChatModel

chat(ChatRequest) - Method in class dev.langchain4j.model.openai.OpenAiChatModel

chat(ChatRequest, StreamingChatResponseHandler) - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel

This is the main API to interact with the chat model.

chat(ChatRequest, StreamingChatResponseHandler) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel

chat(TextGenerationRequest) - Method in interface dev.langchain4j.model.huggingface.client.HuggingFaceClient

chat(String) - Method in interface dev.langchain4j.model.chat.ChatLanguageModel

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 API.

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(ChatRequest.Builder) - Constructor for class dev.langchain4j.model.chat.request.ChatRequest

ChatRequest.Builder - Class in dev.langchain4j.model.chat.request

ChatRequestParameters - Interface in dev.langchain4j.model.chat.request

Represents common chat request parameters supported by most LLM providers.

ChatResponse - Class in dev.langchain4j.model.chat.response

ChatResponse(ChatResponse.Builder) - Constructor for class dev.langchain4j.model.chat.response.ChatResponse

ChatResponse.Builder - Class in dev.langchain4j.model.chat.response

ChatResponseMetadata - Class in dev.langchain4j.model.chat.response

Represents common chat response metadata supported by most LLM providers.

ChatResponseMetadata(ChatResponseMetadata.Builder<?>) - Constructor for class dev.langchain4j.model.chat.response.ChatResponseMetadata

ChatResponseMetadata.Builder<T> - 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

ClientInfo() - Constructor for class dev.langchain4j.mcp.client.protocol.InitializeParams.ClientInfo

ClientMethod - Enum Class in dev.langchain4j.mcp.client.protocol

clientName(String) - Method in class dev.langchain4j.mcp.client.DefaultMcpClient.Builder

Sets the name that the client will use to identify itself to the MCP server in the initialization message.

clientVersion(String) - Method in class dev.langchain4j.mcp.client.DefaultMcpClient.Builder

Sets the version string that the client will use to identify itself to the MCP server in the initialization message.

close() - Method in class dev.langchain4j.mcp.client.DefaultMcpClient

close() - Method in class dev.langchain4j.mcp.client.transport.http.HttpMcpTransport

close() - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport

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

command(List<String>) - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport.Builder

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(TextSegment, Map<ContentMetadata, Object>) - 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.

ContentMetadata - Enum Class in dev.langchain4j.rag.content

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

convertResponse(ChatResponse) - Static method in class dev.langchain4j.model.openai.InternalOpenAiHelper

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.

copyIfNotNull(Set<T>) - Static method in class dev.langchain4j.internal.Utils

Returns an (unmodifiable) copy of the provided set.

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(String, List<ChatMessage>, List<ToolSpecification>, ChatRequestParameters) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

createChatModelRequest(String, List<ChatMessage>, List<ToolSpecification>, ChatRequestParameters) - 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

created() - Method in class dev.langchain4j.model.openai.OpenAiChatResponseMetadata

created(Long) - Method in class dev.langchain4j.model.openai.OpenAiChatResponseMetadata.Builder

createGenerateContentRequest(List<ChatMessage>, List<ToolSpecification>, ResponseFormat, ChatRequestParameters) - Method in class dev.langchain4j.model.googleai.GoogleAiGeminiChatModel

createGenerateContentRequest(List<ChatMessage>, List<ToolSpecification>, ResponseFormat, ChatRequestParameters) - 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

DefaultChatRequestParameters - Class in dev.langchain4j.model.chat.request

DefaultChatRequestParameters(ChatRequestParameters) - Constructor for class dev.langchain4j.model.chat.request.DefaultChatRequestParameters

DefaultChatRequestParameters(DefaultChatRequestParameters.Builder<?>) - Constructor for class dev.langchain4j.model.chat.request.DefaultChatRequestParameters

DefaultChatRequestParameters.Builder<T> - Class in dev.langchain4j.model.chat.request

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

DefaultMcpClient - Class in dev.langchain4j.mcp.client

DefaultMcpClient(DefaultMcpClient.Builder) - Constructor for class dev.langchain4j.mcp.client.DefaultMcpClient

DefaultMcpClient.Builder - Class in dev.langchain4j.mcp.client

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

defaultRequestParameters() - Method in interface dev.langchain4j.model.chat.ChatLanguageModel

defaultRequestParameters() - Method in interface dev.langchain4j.model.chat.StreamingChatLanguageModel

defaultRequestParameters() - Method in class dev.langchain4j.model.openai.OpenAiChatModel

defaultRequestParameters() - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel

defaultRequestParameters(ChatRequestParameters) - Method in class dev.langchain4j.model.openai.OpenAiChatModel.OpenAiChatModelBuilder

Sets default common ChatRequestParameters or OpenAI-specific OpenAiChatRequestParameters.

defaultRequestParameters(ChatRequestParameters) - Method in class dev.langchain4j.model.openai.OpenAiStreamingChatModel.OpenAiStreamingChatModelBuilder

Sets default common ChatRequestParameters or OpenAI-specific OpenAiChatRequestParameters.

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.mcp - package dev.langchain4j.mcp

dev.langchain4j.mcp.client - package dev.langchain4j.mcp.client

dev.langchain4j.mcp.client.protocol - package dev.langchain4j.mcp.client.protocol

dev.langchain4j.mcp.client.transport - package dev.langchain4j.mcp.client.transport

dev.langchain4j.mcp.client.transport.http - package dev.langchain4j.mcp.client.transport.http

dev.langchain4j.mcp.client.transport.stdio - package dev.langchain4j.mcp.client.transport.stdio

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.bedrock.internal.sanitizer - package dev.langchain4j.model.bedrock.internal.sanitizer

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.

EMBEDDING_ID - Enum constant in enum class dev.langchain4j.rag.content.ContentMetadata

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(Double, String) - Static method in class dev.langchain4j.internal.ValidationUtils

Ensures that the given expression is true.

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

environment(Map<String, String>) - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport.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.DefaultChatRequestParameters

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.chat.response.ChatResponseMetadata

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.openai.OpenAiChatRequestParameters

equals(Object) - Method in class dev.langchain4j.model.openai.OpenAiChatResponseMetadata

equals(Object) - Method in class dev.langchain4j.model.openai.OpenAiTokenUsage

equals(Object) - Method in record class dev.langchain4j.model.openai.OpenAiTokenUsage.InputTokensDetails

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class dev.langchain4j.model.openai.OpenAiTokenUsage.OutputTokensDetails

Indicates whether some other object is "equal to" this one.

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

executeOperationWithoutResponse(McpClientMessage) - Method in class dev.langchain4j.mcp.client.transport.http.HttpMcpTransport

executeOperationWithoutResponse(McpClientMessage) - Method in interface dev.langchain4j.mcp.client.transport.McpTransport

Sends a message that does not expect a response from the server.

executeOperationWithoutResponse(McpClientMessage) - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport

executeOperationWithResponse(McpClientMessage) - Method in class dev.langchain4j.mcp.client.transport.http.HttpMcpTransport

executeOperationWithResponse(McpClientMessage) - Method in interface dev.langchain4j.mcp.client.transport.McpTransport

Executes an operation that expects a response from the server.

executeOperationWithResponse(McpClientMessage) - Method in class dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport

executePythonCode(String) - Method in class dev.langchain4j.agent.tool.graalvm.GraalVmPythonExecutionTool

executeRead(String) - Method in class dev.langchain4j.store.graph.neo4j.Neo4jGraph

executeTool(ToolExecutionRequest) - Method in class dev.langchain4j.mcp.client.DefaultMcpClient

executeTool(ToolExecutionRequest) - Method in interface dev.langchain4j.mcp.client.McpClient

Executes a tool on the MCP server and returns the result as a String.

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.

failIfOneServerFails(boolean) - Method in class dev.langchain4j.mcp.McpToolProvider.Builder

If this is true, then the tool provider will throw an exception if it fails to list tools from any of the servers.

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.chat.response.ChatResponseMetadata

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.model.chat.response.ChatResponseMetadata.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

Deprecated.

Please use OllamaChatModel.OllamaChatModelBuilder.responseFormat(ResponseFormat) instead. For example: responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.

format(String) - Method in class dev.langchain4j.model.ollama.OllamaLanguageModel.OllamaLanguageModelBuilder

Deprecated.

Please use OllamaLanguageModel.OllamaLanguageModelBuilder.responseFormat(ResponseFormat) instead. For example: responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.

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

format(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder

Deprecated.

Please use OllamaStreamingChatModel.OllamaStreamingChatModelBuilder.responseFormat(ResponseFormat) instead. For example: responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.

format(String) - Method in class dev.langchain4j.model.ollama.OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder

Deprecated.

Please use OllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder.responseFormat(ResponseFormat) instead. For example: responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.

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() - Method in interface dev.langchain4j.model.chat.request.ChatRequestParameters

frequencyPenalty() - Method in class dev.langchain4j.model.chat.request.DefaultChatRequestParameters

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.chat.request.DefaultChatRequestParameters.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(TextSegment, Map<ContentMetadata, Object>) - 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.AbstractBedrockS