An open-source MCP server for RAG over personal documents. Supports three parallel strategies — Traditional, Contextual, and Graph RAG — with all data stored locally for privacy.
MCP server for a self-hosted RAG system that enables AI tools to search and retrieve grounded answers from locally ingested documents via MCP tools, with local embeddings and no API key required.
Local RAG system that ingests documents into a vector database using FAISS and SQLite, then enables Claude to search over them via MCP tools, all running locally with no API key required.
A privacy-cleaned MCP server with hybrid retrieval, multimodal support, and code intelligence, enabling natural language interaction with knowledge bases and tools.
Enables natural language queries on technical specifications and automated code compliance checks using local RAG with vector search, integrated via MCP.