Recursively cast values in a dict to a form able to json.dump
Compute Maximal Marginal Relevance (MMR).
MMR is a technique used to select documents that are both relevant to the query and diverse among themselves. This function returns the indices of the top-k embeddings that maximize the marginal relevance.
Convert MongoDB's internal BSON ObjectId into a simple str for compatibility.
Instructive helper to show where data is coming out of MongoDB.
Attempt to cast string representation of id to MongoDB's internal BSON ObjectId.
To be consistent with ObjectId, input must be a 24 character hex string. If it is not, MongoDB will happily use the string in the main _id index. Importantly, the str representation that comes out of MongoDB will have this form.
MongoDB Atlas vector store integration.
MongoDBAtlasVectorSearch performs data operations on text, embeddings and arbitrary data. In addition to CRUD operations, the VectorStore provides Vector Search based on similarity of embedding vectors following the Hierarchical Navigable Small Worlds (HNSW) algorithm.
This supports a number of models to ascertain scores, "similarity" (default), "MMR", and "similarity_score_threshold". These are described in the search_type argument to as_retriever, which provides the Runnable.invoke(query) API, allowing MongoDBAtlasVectorSearch to be used within a chain.
