How to Build Production-Grade LLM Evaluation Pipelines

A team replaced manual 'vibe checks' with automated evaluation for their RAG-based customer support assistant, catching 92% of hallucinations before deployment. The pipeline uses domain-specific judges, CI/CD integration, and golden dataset management to detect regressions. It blocks merges that degrade quality, preventing issues like citing nonexistent policies or competitor data.