Unverified50% confidenceSolutionExact time
A RAG system should maintain a small regression test set (golden dataset) containing real questions and known answers, and run it every time the chunking strategy, embedding model, or prompt is modified, in order to catch regressions before launch.
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Long-term
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10/14/2026
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UnverifiedThe recommended troubleshooting sequence for RAG systems is: first build a test set with ground-truth answers, check whether the retrieved chunks contain the answer for failed cases, and if retrieval is correct but generation fails, prioritize adjusting the prompt and context ordering before upgrading the model.78% similarUnverifiedA more pragmatic approach for critical tasks is to establish small-scale benchmarks and regularly test model stability using fixed questions.70% similarUnverifiedSWE-bench Verified's scoring mechanism relies on an automated test suite; after a model submits a code patch, the system runs predefined unit tests to determine whether they pass70% similarUnverifiedRAG generation metrics encompass Faithfulness, Answer Relevancy, and others, and are often computed automatically with the help of frameworks such as RAGAS.69% similarUnverified系统在测试点生成后和用例生成阶段均内置自动评审机制，并保留人工评审接口69% similar
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