PinRAG

PinRAG

Unified RAG: index & query files, videos, code, chat, with source citations.

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About PinRAG

PinRAG is an open-source Retrieval-Augmented Generation (RAG) MCP server that lets users index and query a wide variety of content sources—including PDFs, GitHub repositories, YouTube videos (with optional vision enrichment), Discord chat exports, and plain text files—via AI assistants such as Cursor, VS Code (GitHub Copilot), and other MCP-compatible clients. It provides tools to add documents, perform semantic search with citations, filter by source and metadata, and manage indexed material from multiple systems in one place, supporting collaborative research, codebase analysis, and information synthesis. It integrates with LangChain, Chroma vector DB, Discord, YouTube, GitHub, and supports configurable LLM providers (OpenRouter, OpenAI, Anthropic, Cerebras). Best suited for developers, researchers, technical writers, or anyone needing unified, citation-based retrieval across diverse knowledge sources.

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