Sparse retrieval strategy using the text_expansion processor.
vectorstores.epsilla.Epsilla(client, embeddings)
Wrapper around Epsilla vector database.
vectorstores.faiss.FAISS(embedding_function, ...)
Meta Faiss vector store.
vectorstores.hologres.Hologres(...[, ndims, ...])
Hologres API vector store.
vectorstores.hologres.HologresWrapper(...)
Hologres API wrapper.
vectorstores.lancedb.LanceDB(connection, ...)
LanceDB vector store.
vectorstores.llm_rails.LLMRails([...])
Implementation of Vector Store using LLMRails (https://llmrails.com/).
vectorstores.llm_rails.LLMRailsRetriever
Create a new model by parsing and validating input data from keyword arguments.
vectorstores.llm_rails.ModelChoices(value[, ...])
vectorstores.marqo.Marqo(client, index_name)
Marqo vector store.
vectorstores.matching_engine.MatchingEngine(...)
Google Vertex AI Matching Engine vector store.
vectorstores.meilisearch.Meilisearch(embedding)
Meilisearch vector store.
vectorstores.milvus.Milvus(embedding_function)
Milvus vector store.
vectorstores.mongodb_atlas.MongoDBAtlasVectorSearch(...)
MongoDB Atlas Vector Search vector store.
vectorstores.myscale.MyScale(embedding[, config])
MyScale vector store.
vectorstores.myscale.MyScaleSettings
MyScale client configuration.
vectorstores.neo4j_vector.Neo4jVector(...[, ...])
Neo4j vector index.
vectorstores.neo4j_vector.SearchType(value)
Enumerator of the Distance strategies.
vectorstores.nucliadb.NucliaDB(...[, ...])
NucliaDB vector store.