Class representing a RedisVectorStore. It extends the VectorStore class and includes methods for adding documents and vectors, performing similarity searches, managing the index, and more.

Hierarchy

Constructors

Properties

contentKey: string
createIndexOptions: CreateOptions
embeddings: Embeddings
indexName: string
keyPrefix: string
metadataKey: string
vectorKey: string

Methods

  • Method for adding documents to the RedisVectorStore. It first converts the documents to texts and then adds them as vectors.

    Parameters

    • documents: Document<Record<string, any>>[]

      The documents to add.

    • Optional options: RedisAddOptions

      Optional parameters for adding the documents.

    Returns Promise<void>

    A promise that resolves when the documents have been added.

  • Method for adding vectors to the RedisVectorStore. It checks if the index exists and creates it if it doesn't, then adds the vectors in batches.

    Parameters

    • vectors: number[][]

      The vectors to add.

    • documents: Document<Record<string, any>>[]

      The documents associated with the vectors.

    • Optional __namedParameters: RedisAddOptions

    Returns Promise<void>

    A promise that resolves when the vectors have been added.

  • Method for checking if an index exists in the RedisVectorStore.

    Returns Promise<boolean>

    A promise that resolves to a boolean indicating whether the index exists.

  • Method for creating an index in the RedisVectorStore. If the index already exists, it does nothing.

    Parameters

    • Optional dimensions: number

      The dimensions of the index

    Returns Promise<void>

    A promise that resolves when the index has been created.

  • Deletes vectors from the vector store.

    Parameters

    • params: {
          deleteAll: boolean;
      }

      The parameters for deleting vectors.

      • deleteAll: boolean

    Returns Promise<void>

    A promise that resolves when the vectors have been deleted.

  • Method for dropping an index from the RedisVectorStore.

    Parameters

    • Optional deleteDocuments: boolean

      Optional boolean indicating whether to drop the associated documents.

    Returns Promise<boolean>

    A promise that resolves to a boolean indicating whether the index was dropped.

  • Method for performing a similarity search in the RedisVectorStore. It returns the documents and their scores.

    Parameters

    • query: number[]

      The query vector.

    • k: number

      The number of nearest neighbors to return.

    • Optional filter: RedisVectorStoreFilterType

      Optional filter to apply to the search.

    Returns Promise<[Document<Record<string, any>>, number][]>

    A promise that resolves to an array of documents and their scores.

  • Return documents selected using the maximal marginal relevance. Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.

    Parameters

    Returns Promise<Document<Record<string, any>>[]>

    • List of documents selected by maximal marginal relevance.
  • Static method for creating a new instance of RedisVectorStore from documents. It adds the documents to the RedisVectorStore.

    Parameters

    Returns Promise<RedisVectorStore>

    A promise that resolves to a new instance of RedisVectorStore.

  • Static method for creating a new instance of RedisVectorStore from texts. It creates documents from the texts and metadata, then adds them to the RedisVectorStore.

    Parameters

    • texts: string[]

      The texts to add.

    • metadatas: object | object[]

      The metadata associated with the texts.

    • embeddings: Embeddings

      The embeddings to use.

    • dbConfig: RedisVectorStoreConfig

      The configuration for the RedisVectorStore.

    Returns Promise<RedisVectorStore>

    A promise that resolves to a new instance of RedisVectorStore.

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