---
type: "raw_signal"
id: "rcp-ndcg-10-a-new-approach-to-enterprise-4733cc"
slug: "rcp-ndcg-10-a-new-approach-to-enterprise-4733cc"
title: "RCP-nDCG@10: A New Approach to Enterprise Retrieval Quality"
description: "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."
retrieval_nugget: "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."
observed_at: "2026-09-30"
record_date: "2026-09-30"
date_kind: "observed_at"
why_it_matters: "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."
novelty: "notable"
verification_level: "source-linked"
signal_type: "research"
source_platform: "cohere.com"
topics: []
entities: []
related_patterns: []
source_url: "https://cohere.com/blog/rcp-ndcg"
source_urls: ["https://cohere.com/blog/rcp-ndcg"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:rcp-ndcg-10-a-new-approach-to-enterprise-4733cc"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/rcp-ndcg-10-a-new-approach-to-enterprise-4733cc/","markdown":"https://newruntime.com/signals/rcp-ndcg-10-a-new-approach-to-enterprise-4733cc.md","json":"https://newruntime.com/signals/rcp-ndcg-10-a-new-approach-to-enterprise-4733cc.json"}
---

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

## Retrieval answer

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 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

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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