PinRAG

PinRAG is an open-source Retrieval-Augmented Generation (RAG) tool designed to help users aggregate, index, and query dispersed learning materials—including PDFs, ebooks, GitHub repositories, YouTube videos, Discord chats, and web documentation—into a single searchable RAG index. It exposes a Model Context Protocol (MCP) server usable from editors (e.g., Cursor, VS Code) or any MCP-compatible assistant, allowing users to ask natural language questions with cited answers referencing back to source context. PinRAG is ideal for researchers, developers, students, and professionals wanting seamless semantic search, information retrieval, and context-linked Q&A over diverse multi-format content.