I built a production-ready RAG backend (because most examples break in real life)

Most RAG (Retrieval-Augmented Generation) projects you see online are great demos. But try running them in production and you’ll quickly hit issues: no ingestion pipeline no async processing no scaling story no observability no proper deployment setup So I decided to build something that actually works beyond demos. Introducing Ragify An open-source, production-oriented RAG backend built with: Node.js + Express + TypeScript MongoDB for documents + logs Qdrant for vector search Redis + BullMQ for