[86125-1] Test Retrieval Before Tuning RAG Answers AI_Engineer_Bum 2026/10/26(月)01:18 修正時間切れ
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<a href="https://ai-development-services.com/">RAG evaluation</a> should separate retrieval failure from generation failure. If the right passage never reaches the model, prompt changes can improve tone without fixing the answer. Start with a small evaluation set that identifies the expected source for each query.
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During testing, record which document chunks were retrieved and whether their metadata matched the intended access rules. A correct answer from an unauthorized document is still a system failure. Tune chunking or ranking only after the failed cases are classified, then evaluate how the model responds when retrieval returns weak or conflicting evidence. |
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