Cohere Command R

Command R+ is Cohere's flagship large language model, specifically designed and optimized for enterprise use cases that require sophisticated retrieval augmented generation (RAG) capabilities, tool use, and multi-step agent workflows. The model represents Cohere's specialized focus on enterprise AI applications rather than competing directly on general consumer AI benchmarks.

Command R+'s RAG optimization is one of its most important characteristics for enterprise deployment. The model is specifically trained to handle retrieved context effectively, integrating information from retrieved documents with its generative capabilities in ways that produce accurate, well-grounded responses. This RAG optimization reduces hallucinations when working with enterprise knowledge bases.

The model's tool use capabilities enable it to be effectively used in agentic workflows where it needs to call APIs, query databases, search the web, and use other tools to complete complex tasks. Command R+'s training on tool use makes it more reliable for agent applications than models not specifically optimized for this use case.

Cohere's flexible deployment options — including on-premises, private cloud, and major cloud platform deployment — make Command R+ accessible to enterprises that cannot send proprietary data to shared cloud AI services. This deployment flexibility is essential for regulated industries and data-sensitive applications.

Command R+'s multilingual capabilities across 10 major languages support global enterprise deployments, enabling organizations to build AI applications that serve international user bases without separate models for each language.