Cohere API
Enterprise LLMs optimized for business, RAG, embeddings and search
Cohere specializes in enterprise-grade LLMs with a strong focus on retrieval-augmented generation (RAG), semantic search, and embeddings. The Command R+ model excels at multi-step reasoning and tool use, while Cohere’s Embed models are among the top performers for vector search use cases. Cohere offers the most competitive pricing in its class — Command R7B is among the cheapest mainstream LLMs available. Particularly well-suited for enterprises building knowledge management systems, customer support bots, and document Q&A applications. Offers on-premise deployment options for sensitive data environments.
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Frequently Asked Questions
Cohere specialises in enterprise NLP u2014 particularly semantic search, document retrieval, and RAG (Retrieval-Augmented Generation) applications. The Command R+ model is optimised for RAG pipelines. Cohere Embed is one of the best embedding models for building search and recommendation systems. It is widely used in enterprise knowledge management.
Yes. Cohere offers a free trial API key with limited rate limits (5 calls per minute for production, more for trials). The free tier is sufficient for development and small-scale testing. Production pricing starts at $0.50 per million tokens for Command R and $2.50/$10 for Command R+.
Cohere Embed generates high-quality vector embeddings from text, used for semantic search, clustering, classification, and RAG retrieval. Embed v3 has 1,024 dimensions and performs near the top on the MTEB benchmark. Use it when building search engines, recommendation systems, or document retrieval pipelines. Pricing is $0.10 per million tokens.
Yes u2014 Cohere is positioned specifically for enterprise use. It offers on-premises deployment, dedicated cloud instances, SOC 2 Type II compliance, GDPR data processing agreements, and fine-tuning on proprietary data. Several Fortune 500 companies use Cohere for internal search and knowledge management applications.
