Discover 5 MCPs built for LanceDB.
Enables LLMs to interact with on-disk documents through agentic RAG and hybrid search powered by LanceDB.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Enables efficient vector storage, similarity search, and management of vector embeddings with associated metadata using LanceDB.
Provides a server for managing LanceDB databases.
Enables vector similarity search using LanceDB and custom embedding functions within a Node.js environment.
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