Most RAG (Retrieval-Augmented Generation) projects you see online are great demos.

But try running them in production and you’ll quickly hit issues:

So I decided to build something that actually works beyond demos.

Introducing Ragify

An open-source, production-oriented RAG backend built with:

What makes it different

Instead of just “chat + embeddings”, Ragify focuses on the full pipeline:

Upload → Queue → Chunk → Embed → Store → Retrieve → Generate

Some key features:

Why I built this

I wanted a backend that:

Looking for feedback / contributors

Would love input on:

If you’re building in the RAG / LLM space, this might be useful.

Would appreciate your thoughts 🙌

StackFeed

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