llama-index retrievers mongodb-atlas-bm25-retriever integration
Project description
LlamaIndex Retrievers Integration: MongoDBAtlasBM25Retriever
What is this?
This is a BM25 Retriever for MongoDB Atlas that can be used with LlamaIndex.
How to use
This was created with reference to MongoDBAtlasVectorSearch, so it's mostly the same.
Please refer to that.
However, while MongoDBAtlasVectorSearch is an VectorStore, MongoDBAtlasBM25Retriever is a Retriever.
MongoDBAtlasBM25Retriever Example:
mongodb_client = pymongo.MongoClient(mongo_uri)
retriever = MongoDBAtlasBM25Retriever(
mongodb_client=mongodb_client,
db_name="vectorstore",
collection_name="vector_collection",
index_name="index_vector_collection",
)
nodes = retriever.retrieve("retrieve_query")
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