How to Build a Regression Gate for Production RAG Systems
SMRTR summary
Most RAG chatbots ship after a demo that only tests easy, hand-picked questions, leaving real failures invisible until users find them. Legal AI tools from major vendors still hallucinate 17% to 33% of the time despite retrieval. Building a proper evaluation system means creating a set of real user questions with expected answers, scoring retrieval and generation separately, and running automated checks that block changes when accuracy drops.
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