Class AzureCosmosDbNoSqlEmbeddingStore
java.lang.Object
dev.langchain4j.store.embedding.azure.cosmos.nosql.AzureCosmosDbNoSqlEmbeddingStore
- All Implemented Interfaces:
EmbeddingStore<TextSegment>
You can read more about vector search using Azure Cosmos DB NoSQL
here.
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Constructor Summary
ConstructorsConstructorDescriptionAzureCosmosDbNoSqlEmbeddingStore
(com.azure.cosmos.CosmosClient cosmosClient, String databaseName, String containerName, com.azure.cosmos.models.CosmosVectorEmbeddingPolicy cosmosVectorEmbeddingPolicy, List<com.azure.cosmos.models.CosmosVectorIndexSpec> cosmosVectorIndexes, com.azure.cosmos.models.CosmosContainerProperties containerProperties) -
Method Summary
Modifier and TypeMethodDescriptionAdds a given embedding to the store.add
(Embedding embedding, TextSegment textSegment) Adds a given embedding and the corresponding content that has been embedded to the store.void
Adds a given embedding to the store.Adds multiple embeddings to the store.addAll
(List<Embedding> embeddings, List<TextSegment> embedded) Adds multiple embeddings and their corresponding contents that have been embedded to the store.findRelevant
(Embedding referenceEmbedding, int maxResults, double minScore) Finds the most relevant (closest in space) embeddings to the provided reference embedding.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface dev.langchain4j.store.embedding.EmbeddingStore
findRelevant, findRelevant, findRelevant, remove, removeAll, removeAll, removeAll, search
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Constructor Details
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AzureCosmosDbNoSqlEmbeddingStore
public AzureCosmosDbNoSqlEmbeddingStore(com.azure.cosmos.CosmosClient cosmosClient, String databaseName, String containerName, com.azure.cosmos.models.CosmosVectorEmbeddingPolicy cosmosVectorEmbeddingPolicy, List<com.azure.cosmos.models.CosmosVectorIndexSpec> cosmosVectorIndexes, com.azure.cosmos.models.CosmosContainerProperties containerProperties)
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Method Details
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add
Description copied from interface:EmbeddingStore
Adds a given embedding to the store.- Specified by:
add
in interfaceEmbeddingStore<TextSegment>
- Parameters:
embedding
- The embedding to be added to the store.- Returns:
- The auto-generated ID associated with the added embedding.
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add
Description copied from interface:EmbeddingStore
Adds a given embedding to the store.- Specified by:
add
in interfaceEmbeddingStore<TextSegment>
- Parameters:
id
- The unique identifier for the embedding to be added.embedding
- The embedding to be added to the store.
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add
Description copied from interface:EmbeddingStore
Adds a given embedding and the corresponding content that has been embedded to the store.- Specified by:
add
in interfaceEmbeddingStore<TextSegment>
- Parameters:
embedding
- The embedding to be added to the store.textSegment
- Original content that was embedded.- Returns:
- The auto-generated ID associated with the added embedding.
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addAll
Description copied from interface:EmbeddingStore
Adds multiple embeddings to the store.- Specified by:
addAll
in interfaceEmbeddingStore<TextSegment>
- Parameters:
embeddings
- A list of embeddings to be added to the store.- Returns:
- A list of auto-generated IDs associated with the added embeddings.
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addAll
Description copied from interface:EmbeddingStore
Adds multiple embeddings and their corresponding contents that have been embedded to the store.- Specified by:
addAll
in interfaceEmbeddingStore<TextSegment>
- Parameters:
embeddings
- A list of embeddings to be added to the store.embedded
- A list of original contents that were embedded.- Returns:
- A list of auto-generated IDs associated with the added embeddings.
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findRelevant
public List<EmbeddingMatch<TextSegment>> findRelevant(Embedding referenceEmbedding, int maxResults, double minScore) Description copied from interface:EmbeddingStore
Finds the most relevant (closest in space) embeddings to the provided reference embedding.- Specified by:
findRelevant
in interfaceEmbeddingStore<TextSegment>
- Parameters:
referenceEmbedding
- The embedding used as a reference. Returned embeddings should be relevant (closest) to this one.maxResults
- The maximum number of embeddings to be returned.minScore
- The minimum relevance score, ranging from 0 to 1 (inclusive). Only embeddings with a score of this value or higher will be returned.- Returns:
- A list of embedding matches. Each embedding match includes a relevance score (derivative of cosine distance), ranging from 0 (not relevant) to 1 (highly relevant).
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