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Reachability for Ruby Now in Beta
Reachability analysis for Ruby is now in beta, helping teams identify which vulnerabilities are truly exploitable in their applications.
llama-index-retrievers-mongodb-atlas-bm25-retriever
Advanced tools
llama-index retrievers mongodb-atlas-bm25-retriever integration
This is a BM25 Retriever for MongoDB Atlas that can be used with LlamaIndex.
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")
FAQs
llama-index retrievers mongodb-atlas-bm25-retriever integration
We found that llama-index-retrievers-mongodb-atlas-bm25-retriever demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Product
Reachability analysis for Ruby is now in beta, helping teams identify which vulnerabilities are truly exploitable in their applications.

Research
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