LanceDB Vector Search
Enables vector search capabilities using LanceDB and Ollama's embedding model for similarity searches on document collections without context switching.
About
LanceDB-node is an MCP server that provides vector search capabilities using LanceDB and Ollama's embedding model. Developed by Vurtnec, it enables AI assistants to perform similarity searches on vector databases through a set of tools for adding vectors, searching by text or vector, and listing tables. The server connects to a local LanceDB database and uses Ollama for text-to-vector embedding conversion, making it particularly valuable for RAG (Retrieval Augmented Generation) applications where AI assistants need to search through document collections without switching context.
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