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LLM Platform Provider: Cohere

Cohere

Cohere is an enterprise-focused AI platform providing large language models, embeddings, and retrieval-augmented generation (RAG) tools optimized for business applications. Founded in 2019 by former Google Brain researchers, Cohere offers Command R+ and Command R models with 128k...

Cohere
language-models enterprise-ai embeddings rag

Overview

Cohere is an enterprise-focused AI platform providing large language models, embeddings, and retrieval-augmented generation (RAG) tools optimized for business applications. Founded in 2019 by former Google Brain researchers, Cohere offers Command R+ and Command R models with 128k context windows, strong multilingual support for 23 languages, and specialized RAG capabilities with citation tracking for grounded, factual responses. Unlike consumer-focused AI providers, Cohere emphasizes data privacy with on-premise deployment options, enterprise SLAs, and compliance-ready infrastructure. The platform includes production-ready APIs for text generation, semantic search, classification, and clustering tasks. Cohere's models excel at tasks requiring factual accuracy, structured output generation, and multilingual understanding, making them ideal for customer support automation, enterprise document analysis, search enhancement, and business intelligence applications requiring trustworthy AI with transparent reasoning and source attribution.

Key Features

  • Command R+ with 128k context
  • 23 languages support
  • RAG with citations
  • Enterprise embeddings
  • On-premise deployment
  • Fine-tuning capabilities
  • Production SLAs
  • Data privacy focus

Use Cases

  • Customer support automation
  • Enterprise search
  • Document analysis
  • Multilingual content
  • Business intelligence Q&A
  • Compliance assessment

Technical Specifications

Command R+ is a 104B parameter model with 128k context window, optimized for RAG with grounded generation and citation support. Supports 23 languages including English, Spanish, French, German, Chinese, Japanese, Arabic. API latency typically 1-3 seconds for queries. Embeddings model generates 1024-dimensional vectors at approximately 500 tokens/second. Available via cloud API, Azure, AWS Bedrock, or on-premise deployment options.

Pricing

Pay-as-you-go: Command R+ $3/million input tokens, $15/million output tokens. Command R $0.50/$1.50 per million tokens. Embeddings $0.10/million tokens. Enterprise plans with volume discounts, dedicated capacity, SLAs, and on-premise deployment available via sales.

Code Example

import cohere\n\nco = cohere.Client(api_key="your_api_key")\n\n# RAG with citations\nresponse = co.chat(\n    message="What are our key product features?",\n    documents=[\n        {"title": "Product Guide", "text": "Our product features AI-powered analytics..."},\n        {"title": "FAQ", "text": "Key capabilities include real-time processing..."}\n    ],\n    model="command-r-plus"\n)\nprint(response.text)\nprint("Citations:", response.citations)

Professional Integration Services by 21medien

21medien offers comprehensive integration services for Cohere, including API integration, workflow automation, performance optimization, custom development, and training programs. Our experienced team helps businesses leverage Cohere for production applications with enterprise-grade reliability and support. Schedule a free consultation through our contact page to discuss your AI integration requirements.

Resources

Official website: https://cohere.ai

Official Resources

https://cohere.ai