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 subjective evaluations with automated production-grade LLM evaluation pipelines. This transition from vibes to metrics allowed them to successfully catch 92% of hallucinations before deployment, ensuring higher accuracy and reliability for the end users.