Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics

A team deployed a RAG-based customer support assistant relying on manual vibe checks, which failed in production. The system provided hallucinated billing policies and incorrect API rate limits from competitors, affecting over 500 users. To resolve this, the team replaced the subjective looks good to me approach with automated evaluation pipelines. This transition to metrics-based testing allowed them to catch 92% of hallucinations before deployment, ensuring production-grade reliability for their LLM application.