Class PgVectorEmbeddingStore
java.lang.Object
dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore
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EmbeddingStore<TextSegment>
PGVector EmbeddingStore Implementation
Only cosine similarity is used. Only ivfflat index is used.
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Constructor Summary
Constructors -
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.voidAdds 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, waitMethods inherited from interface dev.langchain4j.store.embedding.EmbeddingStore
findRelevant, findRelevant, findRelevant
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Constructor Details
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PgVectorEmbeddingStore
public PgVectorEmbeddingStore(String host, Integer port, String user, String password, String database, String table, Integer dimension, Boolean useIndex, Integer indexListSize, Boolean createTable, Boolean dropTableFirst) All args constructor for PgVectorEmbeddingStore Class- Parameters:
host- The database hostport- The database portuser- The database userpassword- The database passworddatabase- The database nametable- The database tabledimension- The vector dimensionuseIndex- Should use IVFFlat indexindexListSize- The IVFFlat number of listscreateTable- Should create table automaticallydropTableFirst- Should drop table first, usually for testing
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Method Details
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add
Adds a given embedding to the store.- Specified by:
addin 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
Adds a given embedding to the store.- Specified by:
addin 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
Adds a given embedding and the corresponding content that has been embedded to the store.- Specified by:
addin 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
Adds multiple embeddings to the store.- Specified by:
addAllin 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
Adds multiple embeddings and their corresponding contents that have been embedded to the store.- Specified by:
addAllin 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) Finds the most relevant (closest in space) embeddings to the provided reference embedding.- Specified by:
findRelevantin 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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