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retrieval evaluation

Applied AI interview questions tagged retrieval evaluation, across every topic.

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Concepts behind "retrieval evaluation"

The curriculum that explains the ideas these questions test.

Foundational
📊 Evaluation & ML Foundations
RAG EvaluationEvaluating a RAG system means evaluating retrieval and generation separately, because a bad answer is usually a retrieval failure (the right context was never fetched) and you cannot fix what you cannot localize. Retrieval is scored with recall@k (the ceiling for the whole system), precision, and rank metrics; generation is scored for faithfulness (is each claim supported by the context?) and answer quality. Applied-AI interviews probe it because measuring RAG end-to-end, and knowing which half failed, is the core debugging skill.
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