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Traditional retrieval metrics like precision and recall are infeasible for large-scale RAG systems due to the lack of comprehensive ground truth. LLM-as-a-Judge frameworks provide a scalable, validated alternative for evaluating retrieval and generation accuracy.
Impact: Enables continuous quality monitoring without the prohibitive cost of manual labeling, ensuring system reliability in production environments.
— from Production RAG Evaluation and Agentic Context Engineering · AI Engineering Podcast· Oct 07, 2026