Cohere

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing required, and state of the art performance across search quality benchmarks.

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing required, and high performance with lowest latency optimized for real-time search applications.

Rerank v3.5 is designed to reorder search results for improved relevance. It supports multi-aspect and semi-structured data reranking over 100+ languages. Ideal for refining results from semantic or keyword search pipelines.

Cohere's open-weights 111B parameter model with 256K context. Focused on agentic, multilingual, and coding use cases. Competitive with leading proprietary and open-weights models.

Small, fast update of Cohere's Command R+ model. Excels at RAG, tool use, agents, and tasks requiring complex reasoning and multiple steps.

Updated Command R with improved performance for multilingual retrieval-augmented generation. 128K context with strong RAG and tool use capabilities.

Cohere's enterprise model optimized for RAG and multi-step tool use.

Cohere's efficient model for RAG, search, and grounded generation workflows.