langchain-mongodb: 0.1.8

Integrate your operational database and vector search in a single, unified, fully managed platform with full vector database capabilities on MongoDB Atlas.

Store your operational data, metadata, and vector embeddings in oue VectorStore, MongoDBAtlasVectorSearch. Insert into a Chain via a Vector, FullText, or Hybrid Retriever.

cache

cache.MongoDBAtlasSemanticCache(...[, ...])	MongoDB Atlas Semantic cache.
cache.MongoDBCache(connection_string[, ...])	MongoDB Atlas cache

chat_message_histories

chat_message_histories.MongoDBChatMessageHistory(...)

Chat message history that stores history in MongoDB.

index

pipelines

retrievers

retrievers.full_text_search.MongoDBAtlasFullTextSearchRetriever	Hybrid Search Retriever performs full-text searches using Lucene's standard (BM25) analyzer.
retrievers.hybrid_search.MongoDBAtlasHybridSearchRetriever	Hybrid Search Retriever combines vector and full-text searches weighting them the via Reciprocal Rank Fusion (RRF) algorithm.

utils

vectorstores

vectorstores.MongoDBAtlasVectorSearch(...[, ...])

MongoDB Atlas vector store integration.