FaissStore

Returns a string representing the type of vector store, which subclasses must implement to identify their specific vector storage type.

Adds an array of Document objects to the store.

Adds an array of vectors and their corresponding Document objects to the store.

Creates a VectorStoreRetriever instance with flexible configuration options.

Method to delete documents.

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

Merges the current FaissStore with another FaissStore.

Saves the current state of the FaissStore to a specified directory.

Searches for documents similar to a text query by embedding the query and performing a similarity search on the resulting vector.

Performs a similarity search in the vector store using a query vector and returns the top k results along with their scores.

Searches for documents similar to a text query by embedding the query, and returns results with similarity scores.

Creates a new FaissStore from an array of Document objects and an Embeddings object.

Creates a new FaissStore from an existing FaissStore and an Embeddings object.

Creates a new FaissStore from an array of texts, their corresponding metadata, and an Embeddings object.

The name of the serializable. Override to provide an alias or to preserve the serialized module name in minified environments.

Implemented as a static method to support loading logic.

Loads a FaissStore from a specified directory.