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My RAG system retrieves the right paragraph and still tells the user something the document never said.
What you'll have at the end
A faithfulness score for each saved answer, with every low-scoring one flagged for review
You need
A saved batch of RAG runs, each with the question, the exact retrieved context, and the answer your system generated from it.
Not covered
Whether the retrieved context itself is stale or wrong is a separate problem; this only checks whether the generated answer stays inside what was actually retrieved.
Build a golden test set instead of eyeballing prompt changes
start there first if you don't yet have a saved batch of questions, retrieved context, and answers to run this check against
Write your first LLM-as-a-judge grading script
go there instead if a single pass-or-fail verdict on the whole answer is enough and you don't need a claim-by-claim score
Checked 15 Aug 2026
Part of the AI-LLM App Evaluation cookbook