Cohere pros and cons

Name: Cohere
Brand: Cohere
Rating: 3.8 (8 reviews)

Vendor: Cohere

3.8 out of 5

8 reviews
100% willing to recommend

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Pros & Cons summary

Cohere offers a highly responsive Discord support team and reduces testing time with high initial test accuracy. The reranking model aligns with client requirements, and embedding capabilities improve request efficiency. Embed English v3.0 optimizes resources, but similarity matching and command model creativity need enhancement. Evaluation methods and documentation require development. More detailed feedback and logs for embedding requests would be beneficial for users seeking technical improvements.

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Prominent pros & cons

PROS

Cohere's support team is highly responsive on Discord, providing prompt answers to questions.

It significantly reduces testing time from days to mere hours by achieving high accuracy in initial tests.

The reranking model effectively aligns with client requirements, enhancing RAG quality and maintaining fast response speeds.

Cohere's embedding capabilities are notably faster and of high quality, improving the efficiency of customer requests.

Its Embed English v3.0 model accelerates embedding times and is faster than comparable models, optimizing resource use and saving time and money.

CONS

Cohere's similarity matching between text descriptions and catalog descriptions could be improved.

Evaluation methodology for reranking models is immature, making quality enhancements challenging to conclude.

Technical improvements for Cohere include providing more feedback, logs, and metrics for embedding requests.

Documentation and support are lacking, as limited documentation is available online.

The command model is less creative compared to larger LLMs, noticeable in open-ended generative tasks.

Cohere Pros review quotes

CollinsOmondi

Mobile Application Developer at Uamuzi Foundation

Jul 2, 2024

The very first thing that I really like about it is the support team. They're really available on Discord, and they answer all of your questions.

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Gokul Anil

Sr Test engineer at a tech vendor with 10,001+ employees

Oct 8, 2025

When it creates a new test, it creates it almost 70 to 80% correctly without errors; the time savings are significant—what previously took one or two days can now be completed in two to three hours maximum.

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Daniel Pan

Founding Engineer at Agentize.AI

Oct 10, 2025

A key advantage of integrating Cohere’s reranking model is that it aligns with client requests to include a reranking module — a widely recognized method for improving RAG quality. Additionally, the API demonstrates strong performance in terms of response speed.

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Rustam Sharipov

DevOps Engineer at CHI Software

Oct 31, 2025

Cohere has positively impacted my organization by helping our customers work more efficiently when creating requests, and the embedding results are of very high quality.

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AmanSingh5

Engineer at Roche

Nov 1, 2025

Cohere's Embed English v3.0 is a cloud-hosted model that took less time to embed the textual data and was more than 50 to 60% faster than other models, even somewhat faster than text-embedding-3 from OpenAI, helping to reduce development and embedding times.

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reviewer2784894

Senior Data Scientist at a tech vendor with 10,001+ employees

Dec 4, 2025

Speed has helped me in my day-to-day work, and I really notice the difference because it responds very quickly to LLM requests.

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Shivam Singh

Senior Solution Architect at Hitachi Systems India Private Ltd

Dec 12, 2025

Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals.

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Cohere Cons review quotes

CollinsOmondi

Mobile Application Developer at Uamuzi Foundation

Jul 2, 2024

Cohere has text generation. I think it is mainly focused on AI search. If there was a way to combine the searches with images, I think it would be nice to include that.

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Gokul Anil

Sr Test engineer at a tech vendor with 10,001+ employees

Oct 8, 2025

When performing similarity matching between text descriptions and the catalog descriptions created using Cohere, the matching could be improved.

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Daniel Pan

Founding Engineer at Agentize.AI

Oct 10, 2025

It's challenging for us to make a conclusion about quality enhancement by using reranking models, as solid evaluation methodology for reranking is still immature.

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880,745 professionals have used our research since 2012.

Rustam Sharipov

DevOps Engineer at CHI Software

Oct 31, 2025

I believe Cohere can be improved technically by providing more feedback, logs, and metrics for embedding requests, as it currently appears to be a black box without any understanding of quality.

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AmanSingh5

Engineer at Roche

Nov 1, 2025

One thing that Cohere can improve is related to some distances when I am trying similarity search.

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reviewer2784894

Senior Data Scientist at a tech vendor with 10,001+ employees

Dec 4, 2025

The documentation and support could be improved, as there is limited documentation available on the web.

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Shivam Singh

Senior Solution Architect at Hitachi Systems India Private Ltd

Dec 12, 2025

Cohere could improve in areas where the command model is not as creative as some larger LLMs available in the market, which is expected but noticeable in open-ended generative tasks.

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