LanceDB
Provider
Ryan LisseClassification
Est. Downloads
This is our estimate of how many downloads occurred of this server across the MCP ecosystem (not specific to any single platform). We use a mix of publicly available data, social signals, and more to feed an algorithm that drives this estimation.
Released On
Jan 8, 2025Popularity Ranking
Our estimate as to where this MCP server implementation ranks on the global leaderboard of usage.
Integrates with LanceDB vector database to enable efficient storage, retrieval, and similarity search of vector embeddings with associated metadata for semantic search and recommendation systems.