A sophisticated, modern data visualization dashboard showing a three-layer framework architecture. The image displays interconnected layers labeled 'Query-Level', 'Corpus-Level', and 'Attribution Metrics' with flowing data streams connecting them. Each layer is represented with distinct visual elements: the query layer shows search queries flowing into a funnel, the corpus layer displays document collections in an organized grid, and the attribution layer shows connection lines and validation checkmarks. The background features a subtle gradient from deep blue to teal, creating a professional enterprise software aesthetic. Include glowing accent lines that connect the layers, representing data flow and evaluation metrics like Recall@K, MRR, and NDCG as floating numerical indicators. The overall composition should convey technical sophistication, measurability, and business alignment. Use clean, modern typography for any labels. The lighting should be cool and professional with subtle shadows that add depth.

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David Richards

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This comprehensive article discusses the critical gap in retrieval quality evaluation within enterprise RAG systems. It introduces a three-layer evaluation framework—query-level, corpus-level, and attribution metrics—and outlines an 8-week plan to implement continuous monitoring. Emphasizing the importance of metrics like Recall@K, MRR, and NDCG, it provides practical guidance to build a measurement infrastructure that ensures retrieval quality aligns with business goals. The piece is research-backed, actionable, and tailored for mid-funnel enterprise teams aiming to improve their RAG deployments.

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David Richards

David is a technology expert and consultant who advises Silicon Valley startups on their software strategies. He previously worked as Principal Engineer at TikTok and Salesforce, and has 15 years of experience.

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