Build and deploy a RAG pipeline as a REST API in under 5 minutes with RAGLight

Classic Problem If you've ever built a RAG pipeline, you know how it usually ends: the tutorial shows you how to retrieve documents and generate answers, then leaves you to "wrap it in FastAPI yourself." I got tired of writing the same boilerplate every time, so I built it once inside RAGLight , an open-source Python library for building RAG and Agentic RAG pipelines. Latest Feature: Expose a RAG as REST API raglight serve : one command to expose your RAG pipeline as a fully functional REST API. What you get out of the box pip install raglight raglight serve --port 8000 That's it. You now have a running HTTP server with: POST /generate : ask a question, get an answer POST /ingest : index a local folder or a GitHub repository POST /ingest/upload : upload files directly via multipart form GET /collections : list available collections GET /health : healthcheck Swagger UI at http://localhost:8000/docs Configuration via environment variables The entire pipeline is configured through RAGLIGH