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A Generative AI Engineer has deployed a RAG application to help internal sales teams generate product recommendation summaries for clients. Over time, users report that response quality has declined, and some outputs contain irrelevant product data. The engineer suspects a drop in retrieval or model accuracy but needs to investigate without disrupting the live system. Which combination of techniques should the engineer use to evaluate and monitor the system performance effectively?