# Cohere releases RCP-nDCG@10 metric for enterprise search evaluation

> Cohere introduces RCP-nDCG@10, an AI‑judged relevance metric that better matches human judgments than traditional nDCG.

Oossa · 2026-09-30 · https://oossa.com/en/cohere-releases-rcp-ndcg-10-metric-for-enterprise-search-evaluation

Produced and translated with AI assistance. Check the original sources below.

Cohere announced a new evaluation metric called Rubric‑Calibrated Preferences nDCG@10 (RCP‑nDCG@10). It uses a calibrated AI judge to score every retrieved document against a relevance rubric, instead of relying only on pre‑labeled answer keys. In a blind human study, the metric chose the system reviewers preferred 77% of the time, versus 52% for conventional nDCG. Cohere says it will use RCP‑nDCG@10 to optimise its next‑generation Embed and Rerank models and will add it to the MTEB benchmark.

The company is also looking for private‑beta partners for its Compass Cloud search platform.

## The facts

- RCP‑nDCG@10 was introduced in a Cohere blog post dated Sep 30, 2026
- In the human study, RCP‑nDCG@10 matched reviewer preference in 77% of contests, compared with 52% for traditional nDCG

## Why it matters

The metric gives a clearer picture of search quality, helping developers build systems that return truly relevant results.

## Sources & references

1. [RCP-nDCG@10: a more complete way to measure retrieval relevanceOur new standard for measuring enterprise retrieval quality, validated against human judgment.Sep 30, 20267 min read](https://cohere.com/blog/rcp-ndcg) – Cohere

Last updated: 2026-09-30