Raw SignalSep 30, 20261 min read1 source

RCP-nDCG@10: A New Approach to Enterprise Retrieval Quality

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Cohere has introduced Rubric-Calibrated Preferences nDCG@10 (RCP-nDCG@10), a retrieval evaluation method that scores retrieved documents against a shared relevance rubric using a calibrated AI judge, rather than relying only on pre-existing relevance labels.

Cohere says the method is designed to credit relevant results omitted from conventional judgment pools.

In a blind human study reported by Cohere, 46 annotators reviewed results from NanoBEIR, BRIGHT, and ViDoRe v3. Across 289 head-to-head contests covering 273 queries, RCP-nDCG selected the system preferred by reviewers 77% of the time, compared with 52% for conventional nDCG. The company also reports that where the two metrics named different winners, reviewers sided with RCP-nDCG 70% of the time. These are results from Cohere's described study, not independent validation. Source: https://cohere.com/blog/rcp-ndcg

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  1. 1cohere.com/blog/rcp-ndcg
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