In this video, we perform a deep dive into evaluating Retrieval-Augmented Generation (RAG) performance using Amazon Bedrock Knowledge Bases and the LLM-as-a-Judge framework.
In this video, we perform a deep dive into evaluating Retrieval-Augmented Generation (RAG) performance using Amazon Bedrock Knowledge Bases and the LLM-as-a-Judge framework.
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Top comments (1)
LLM-as-judge can be useful, but I would keep it as one layer, not the final truth. For RAG, the judge should inspect citation support, answer completeness, refusal behavior, and whether the retrieved context actually contains the claim.