Pro question
Measuring groundedness in a RAG system
AI Agents & Automation · LLM Product Metrics · medium · Company-context scenario · 6 min
Your retrieval-augmented (RAG) assistant sometimes states facts not supported by the retrieved documents.
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The prompt, fixtures, grading criteria and model write-up stay on the server until your plan unlocks them.
Source
Company-context scenario built from real product constraints. It is not represented as a verbatim interview question.