langchain-mongodb: 0.2.0

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

Classes

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

chat_message_histories

Classes

chat_message_histories.MongoDBChatMessageHistory(...)

Chat message history that stores history in MongoDB.

docstores

Classes

docstores.MongoDBDocStore(collection[, text_key])

MongoDB Collection providing BaseStore interface.

langchain_mongodb_index

Functions

index.create_fulltext_search_index(...[, ...])	Experimental Utility function to create an Atlas Search index
index.create_vector_search_index(collection, ...)	Experimental Utility function to create a vector search index
index.drop_vector_search_index(collection, ...)	Drop a created vector search index
index.update_vector_search_index(collection, ...)	Update a search index.

pipelines

Functions

pipelines.combine_pipelines(pipeline, stage, ...)	Combines two aggregations into a single result set in-place.
pipelines.final_hybrid_stage(scores_fields, ...)	Sum weighted scores, sort, and apply limit.
pipelines.reciprocal_rank_stage(score_field)	Stage adds Reciprocal Rank Fusion weighting.
pipelines.text_search_stage(query, ...[, ...])	Full-Text search using Lucene's standard (BM25) analyzer
pipelines.vector_search_stage(query_vector, ...)	Vector Search Stage without Scores.

retrievers

Classes

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.
retrievers.parent_document.MongoDBAtlasParentDocumentRetriever	MongoDB Atlas's ParentDocumentRetriever

utils

Functions

utils.cosine_similarity(X, Y)	Row-wise cosine similarity between two equal-width matrices.
utils.make_serializable(obj)	Recursively cast values in a dict to a form able to json.dump
utils.maximal_marginal_relevance(...[, ...])	Compute Maximal Marginal Relevance (MMR).
utils.oid_to_str(oid)	Convert MongoDB's internal BSON ObjectId into a simple str for compatibility.
utils.str_to_oid(str_repr)	Attempt to cast string representation of id to MongoDB's internal BSON ObjectId.

vectorstores

Classes

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

MongoDB Atlas vector store integration.