Add a PASS/WARN/FAIL Quality Gate to Your RAG Pipeline in 30 Seconds

You deployed a RAG chatbot. The answers are vague. You bump the LLM from GPT-3.5 to GPT-4. The answers are still vague. You double the chunk size. Still vague. You spend three hours tuning prompts. Still. Vague. The real problem isn't the model. It's that your pipeline is retrieving 10 chunks and the LLM is only seeing 3 of them — and nothing in your logs tells you that. What's Actually Breaking (and Why You Can't See It) A RAG pipeline has at least two moving parts between a use...