Cohere Command
By Cohere
Command is Cohere's family of large language models built for enterprise use cases, particularly retrieval-augmented generation, tool use, and multilingual text generation, accessed via API or major cloud platforms.
Definition
Command is Cohere's family of large language models built for enterprise use cases, particularly retrieval-augmented generation, tool use, and multilingual text generation, accessed via API or major cloud platforms.
Overview
Cohere is an enterprise-focused AI company, and Command is its flagship LLM family, offered alongside Cohere's embedding and reranking models. Rather than targeting consumer chat like ChatGPT, Command models are positioned for businesses building internal AI applications such as search, summarization, and grounded question-answering, often deployed through private cloud environments for data control. A defining strength of the Command line is its design around retrieval-augmented generation: Command models are trained to cite sources and stay grounded in retrieved documents, reducing hallucination when paired with a company's internal knowledge base. Cohere pairs Command with its own embeddings and reranking models so a business can build a full RAG pipeline — retrieval, reranking, and generation — from a single vendor. Command models support tool use (allowing the model to call external functions or APIs) and multilingual generation, and are available through Cohere's API as well as major cloud marketplaces like AWS, Azure, and Google Cloud, which appeals to enterprises that want an alternative to OpenAI or Anthropic with strong data governance options, including on-premises or virtual private cloud deployment.
Key Features
- Optimized for retrieval-augmented generation and source citation
- Paired with Cohere's own embedding and reranking models
- Tool use / function calling for connecting to external systems
- Multilingual text generation and understanding
- Available via API and major cloud marketplaces
- Deployment options including virtual private cloud for data control
- Enterprise focus on search, summarization, and grounded Q&A