arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack

A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)

These files are arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack's own configuration. They tell Codex, OpenCode and Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.

6Stars on the repository
2Files it configures its agents with
671Tokens loaded in every session
3Agents configured

Instructions