Ragas gives teams metrics for faithfulness, answer relevancy, and context precision that work without labeled ground truth data, which matters a lot since most RAG teams don't have a hand-labeled eval set sitting around. It's genuinely useful for catching quality regressions the moment a prompt or retrieval config changes, rather than noticing weeks later that answers got worse.
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