Continuous Evaluation Pipeline Stops RAG Hallucinations Before Users See Them
The article walks you through a step‑by‑step evaluation workflow for production RAG: building a gold‑standard query set, running manual sanity checks, automating scores with RAGAS, adding a custom LLM judge, and keeping a human in the loop to spot drift. The result is a repeatable process that catches retrieval bugs, hallucinations, and performance decay before they reach customers.