Benchmark Almanac

Enterprise RAG evaluation (Cohere)

Only in system cards

Models answer workplace policy and technical questions over long documents, some unanswerable. Llama Index Correctness grades answers from 1 to 5.

In-house Cohere evaluation. The tasks are not public.

Made by
Cohere
Released
April 2025
Kind
Faithful to sources
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Last in a system card
April 2025
Last model added
April 2025
1
Model scored in lab cards
1
System card reports it, from 1 lab

Cohere Command A leads with 4.73

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Cohere Command A 4.73

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Cohere Command A 4.73 Apr 2025 Lab model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
4.73 2025 4.73 2025

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Apr 1, 2025 Cohere Command A technical report 4.73 Enterprise RAG Llama Index Correctness average, 1 to 5 (Table 19). Workplace Policies QA 4.59, Technical QA 4.86. Answerable accuracy 96, unanswerable 91 (Table 20) Capabilities

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