Cohere

Build incredible products with world-class language AI

4.9•13 reviews•

757 followers

Build incredible products with world-class language AI

4.9•13 reviews•

757 followers

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LLMs

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AI Infrastructure Tools

We build high performance, secure language models for the enterprise. Our customizable, high-performance language models work on public, private, or hybrid clouds to ensure data security & exceptional support.

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4.9

Based on 13 reviews

Review Cohere?

Reviewers offer a narrow but clear view: Cohere is seen as an underrated, reliable LLM that works especially well for instruction-heavy workflows and can handle high-volume prompting without trouble. User feedback is positive and specific, highlighting dependability more than novelty. Founder reviews are numerous but contain no written comments, so they mainly signal broad approval rather than adding technical detail or counterpoints. With so little critical feedback, the strongest takeaway is simple: users who mention concrete use cases find it practical and steady at scale.

+10

Summarized with AI

Pros

boosting search precision (2)

multi-modal embeddings (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used Cohere to build CustomGPT.ai Researcher

•6 reviews

We used Cohere multi-modal embeddings to select the images for the articles. We found that this works better than GPT-Vision to select high-quality images that are contextually relevant to the surrounding text. This was a hard problem to solve, and Cohere's multi-modal embedding quality helped improve the quality of the selected images.

What's great

multi-modal embeddings (2)high-quality image selection (1)

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97 views1yr ago

used Cohere to build Agora

•14 reviews

We are blown away by Cohere Embed 4’s ability to accurately surface relevant products to search queries. E-commerce data is complex, containing images and multifaceted text descriptions. Being able to represent our products in a unified embedding makes our search faster and our internal tooling more efficient.

What's great

boosting search precision (2)unified embedding (1)

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82 views1yr ago

•9 reviews

Very underrated workhorse of a large language model. Particularly useful for more instructional workflows. supports high volume prompting with ease.

What's great

large language model (1)instructional workflows (1)high volume prompting (1)

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48 views1yr ago