Your Rag demo works. But is it production-ready ?

Building a RAG demo is easy. Building a reliable, secure, and scalable RAG system is a different challenge.

Let's evolve BeyondRAG beyond a basic proof of concept:

Modular architecture and clean boundaries
Configurable retrieval strategies
Cross-lingual retrieval
Access-control-aware search
Production ingestion and reliability

Because production AI is about much more than connecting an LLM to a vector database.

🔗 GitHub: https://github.com/metemertkan/BeyondRAG

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Your RAG demo works. But is it production-ready ?

Beyond RAG: Evolving an Enterprise Retrieval Engine Through Better Architecture A RAG demo is relatively easy to build. Load a few documents, split them into chunks, generate embeddings, store those v

Oct 31, 202612 min read10 views

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Your RAG demo works. But is it production-ready ?