Cohere

Cohere was founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, researchers with roots at Google Brain and the University of Toronto. Unlike Anthropic and OpenAI, which lead with consumer chatbots, Cohere went directly after the enterprise NLP market: its models are designed to be embedded into business workflows for tasks like document search, knowledge base Q&A, content generation, and process automation. The company has been deliberate about not building a consumer chatbot.

The Cohere model lineup centers on three product types: Command (generative models for text tasks, with Command R and Command R+ fine-tuned for RAG and tool use), Embed (models that convert text into vector representations for semantic search), and Rerank (models that improve the ranking of retrieved documents to improve RAG quality). These three tools together form a complete enterprise search stack. Cohere's models are available via its own API and through Amazon Bedrock.

For builders, Cohere is most relevant when you need a full-stack enterprise search or RAG solution rather than a general-purpose assistant. The Command R models include a built-in grounded-response mode that cites sources and avoids hallucinating facts, which is important for high-stakes enterprise use cases. The Embed and Rerank models can be used independently with any LLM if you want Cohere's retrieval quality without switching your generation model.