Share personal context from documents, notes, and conversations across various AI environments and applications.
Personal RAG provides a powerful Model Context Protocol (MCP) server designed to centralize and share your personal knowledge base, complete with Retrieval-Augmented Generation (RAG) capabilities. It allows users to seamlessly integrate their private documents, notes, and conversations across diverse AI platforms like Claude Desktop, Claude Code, VS Code, and Open WebUI. By enabling the storage, semantic search, and contextual querying of personal data, it empowers AI models with rich, personalized information to generate more relevant and accurate responses.