Enterprise-grade NLP models optimised for RAG, semantic search, and private deployment.
About
Cohere focuses on enterprise NLP — particularly retrieval-augmented generation (RAG), semantic search, and text classification. Founded in 2019 by former Google Brain researchers, Cohere's Command models are optimised for business document processing, while their Embed models power production-grade vector search. Cohere offers both cloud API access and private deployment for air-gapped environments.
Key highlights
Purpose-built for enterprise RAG, semantic search, and NLP pipelines
Native citation grounding in Command R models for verifiable answers
Private cloud and on-premise deployment options for regulated industries
Embed 3 leads semantic search benchmarks (MTEB leaderboard)
Specialised focus on business document processing and extraction
Models
Context windows, pricing, capabilities, and API identifiers — everything you need to choose the right model for your workload.
2025
Cohere's most capable model with a 256K context window. Designed for complex multi-step agentic tasks, enterprise document processing, and production RAG pipelines.
command-a-03-20252024
Optimised for retrieval-augmented generation with native citation grounding. Returns answers with source citations from retrieved documents — ideal for enterprise knowledge bases.
command-r-plus2023
State-of-the-art text embedding model for semantic search and RAG pipelines. Leads MTEB benchmarks and supports both text and image embeddings.
embed-english-v3.0Use Cases
Each provider has specialisms shaped by their architecture decisions, training data, and API design. Here is where Cohere performs best.
Get started
Visit the official Cohere platform to access API keys, documentation, and pricing details.