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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Ransomware payment rates hit an all-time low in 2024 as law enforcement crackdowns, stronger defenses, and shifting policies make attacks riskier and less profitable.
Security News
require(esm) backported to Node.js 20, easing the transition to ESM-only packages and reducing complexity for developers as Node 18 nears end-of-life.
Security News
PyPI now supports iOS and Android wheels, making it easier for Python developers to distribute mobile packages.