Class RedisEmbeddingStore

java.lang.Object
dev.langchain4j.store.embedding.redis.RedisEmbeddingStore
All Implemented Interfaces:
EmbeddingStore<TextSegment>

public class RedisEmbeddingStore extends Object implements EmbeddingStore<TextSegment>
Represents a Redis index as an embedding store. Current implementation assumes the index uses the cosine distance metric.
  • Constructor Details

    • RedisEmbeddingStore

      public RedisEmbeddingStore(String host, Integer port, String user, String password, String indexName, Integer dimension, Collection<String> metadataKeys)
      Creates an instance of RedisEmbeddingStore
      Parameters:
      host - Redis Stack Server host
      port - Redis Stack Server port
      user - Redis Stack username (optional)
      password - Redis Stack password (optional)
      indexName - The name of the index (optional). Default value: "embedding-index".
      dimension - Embedding vector dimension
      metadataKeys - Metadata keys that should be persisted (optional)
  • Method Details

    • add

      public String add(Embedding embedding)
      Description copied from interface: EmbeddingStore
      Adds a given embedding to the store.
      Specified by:
      add in interface EmbeddingStore<TextSegment>
      Parameters:
      embedding - The embedding to be added to the store.
      Returns:
      The auto-generated ID associated with the added embedding.
    • add

      public void add(String id, Embedding embedding)
      Description copied from interface: EmbeddingStore
      Adds a given embedding to the store.
      Specified by:
      add in interface EmbeddingStore<TextSegment>
      Parameters:
      id - The unique identifier for the embedding to be added.
      embedding - The embedding to be added to the store.
    • add

      public String add(Embedding embedding, TextSegment textSegment)
      Description copied from interface: EmbeddingStore
      Adds a given embedding and the corresponding content that has been embedded to the store.
      Specified by:
      add in interface EmbeddingStore<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.
    • addAll

      public List<String> addAll(List<Embedding> embeddings)
      Description copied from interface: EmbeddingStore
      Adds multiple embeddings to the store.
      Specified by:
      addAll in interface EmbeddingStore<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.
    • addAll

      public List<String> addAll(List<Embedding> embeddings, List<TextSegment> embedded)
      Description copied from interface: EmbeddingStore
      Adds multiple embeddings and their corresponding contents that have been embedded to the store.
      Specified by:
      addAll in interface EmbeddingStore<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.
    • 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 interface EmbeddingStore<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).
    • builder

      public static RedisEmbeddingStore.Builder builder()