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)
arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack
Instructions file CodexOpenCode
AGENTS.md instructions for arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack, covering agents.md, source of truth, workflow, before coding and during coding.
arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack
Instructions file
Claude Code instructions for arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack, covering claude.md, project, stack, defaults and architecture.