PinRAG

PinRAG is a Retrieval-Augmented Generation (RAG) platform that allows users to index and query their scattered educational and technical materials—including PDFs, text files, Discord exports, YouTube videos (with optional vision/text merge), GitHub repositories, and web documentation sites—into a single, searchable knowledge base. Exposed as a Model Context Protocol (MCP) server, PinRAG makes these resources accessible directly from modern editors like Cursor and VS Code or any MCP-compatible agent, supporting features such as natural language querying with source citations, multi-format indexing, and configurable LLM/embedding backends. It is ideal for developers, technical teams, and researchers looking to centralize heterogeneous reference material and retrieve answers with precise context.