Command R

Command R for RAG, long-context and multilingual Q&A

Published

Command R is a Cohere generation model for enterprise Q&A, RAG, agents and multilingual generation.

starsCapabilities

codeFunction callingstreamStreaming output

paymentsContext and pricing

Context limit128,000
Max output4,000
Knowledge cutoff2024-06-01
Input price$0.15/ 1M tokens
Output price$0.6/ 1M tokens

descriptionOverview

Overview

Command R is listed in Cohere's official model documentation, with model ID command-r. Cohere's lineup focuses on enterprise RAG, retrieval augmentation, multilingual generation, embeddings and reranking.

Best for

Use Command R when your product needs enterprise knowledge Q&A, semantic search, ranking, tool use or multilingual workflows. Test retrieval quality, ranking lift, generation stability, latency and cost before production.

lightbulbUse cases

  • Enterprise knowledge Q&A
  • RAG and long-context tasks
  • Agents and tool use
  • Multilingual generation

thumb_upStrengths

  • Strong focus on enterprise retrieval and RAG
  • Complete generation, embedding and reranking stack
  • Useful for knowledge-base and search pipelines
  • Multilingual support for global products

infoLimitations

  • Results depend on retrieval pipeline design
  • Embedding and reranking models are not chat generators
  • Chinese and domain terminology need evaluation
  • Limits depend on Cohere documentation

linkReferences

This content is compiled from official documentation and public sources. Always refer to official documentation for final details