Documentation for langchain-mongodb is hosted separately by the MongoDB team. Visit their official API reference site to get started with this integration.
Document Loaders are classes to load Documents.
Chat message history that stores history in MongoDB.
MongoDB Atlas vector store integration.
MongoDB Collection providing BaseStore interface.
MongoDB Atlas cache
MongoDB Atlas Semantic cache.
A MongoDB-based implementation of the record manager.
Base tool for interacting with a MongoDB database.
Tool for querying a MongoDB database.
Tool for getting metadata about a MongoDB database.
Tool for getting collection names.
Use an LLM to check if a query is correct.
Wrapper around a MongoDB database.
MongoDBDatabaseToolkit for interacting with MongoDB databases.
Translator between MongoDB Query API and LangChain's StructuredQuery.
Retriever that uses an LLM to deduce filters for Vector Search algorithm.
MongoDB Atlas's ParentDocumentRetriever
Hybrid Search Retriever combines vector and full-text searches
RunnableSerializable API of MongoDB GraphRAG.
Retriever performs full-text searches using Lucene's standard (BM25) analyzer.
GraphRAG DataStore
Full-Text search using Lucene's standard (BM25) analyzer
Row-wise cosine similarity between two equal-width matrices.
Compute Maximal Marginal Relevance (MMR).
Attempt to cast string representation of id to MongoDB's internal BSON ObjectId.
Convert MongoDB's internal BSON ObjectId into a simple str for compatibility.
Recursively cast values in a dict to a form able to json.dump
Prepare a query for vector search based on the embedding type.
