Hi Contra people, As you know RAG/LLM systems look easy in demo mode. The real learningHi Contra people, As you know RAG/LLM systems look easy in demo mode. The real learning
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maria takova
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• Jun 4
Hi Contra people, As you know RAG/LLM systems look easy in demo mode. The real learning starts when they hit production. 😅
I recently wrote a Medium article sharing some of my lessons learned while building and deploying RAG/LLM systems — the unexpected challenges, trade-offs, and things that only become obvious once real users and real data enter the picture.
👉 [https://medium.com/@mariavlahova.92/building-an-intelligent-faq-assistant-the-complete-production-rag-pipeline-ea7a3fcbbebd]
Now I’m curious to hear from the community:
What was your latest “Aha!” moment with RAG/LLM systems?
• What surprised you the most? • Which approaches worked (or didn’t)? • What would you do differently next time?
Would love to exchange practical lessons from real-world deployments 👇
#LLM #RAG #GenAI #AIEngineering #MachineLearning #MLOps

medium.com

Building an Intelligent FAQ Assistant: The Complete Production RAG Pipeline

Moving an enterprise Retrieval-Augmented Generation (RAG) system from a functional codebase to a resilient production service is…

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