Cohere Command R
AI Assistantsv08-2024A scalable, conversational AI model for enterprise.
Overview
Optimized for enterprise-grade workloads with a focus on scalability and reliability.
Strong multilingual capabilities, supporting 10 core languages and pre-trained on 13 others.
Advanced Retrieval-Augmented Generation (RAG) for accurate, cited responses from provided documents.
Built-in tool use functionality for seamless integration with external APIs and tools.
High-throughput and low-latency performance, with a 128,000-token context window.
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Visual Guide
📊 Interactive PresentationInteractive presentation with key insights and features
Key Features
Advanced reasoning capabilities for complex problem-solving.
Supports a wide range of languages for global applications.
Granular control over model output to ensure safe and responsible AI.
Generates responses with citations, grounding answers in provided documents.
Integrates with external tools and APIs to extend its capabilities.
Generates structured data formats like JSON for easier data processing.
Real-World Use Cases
Customer Support Automation
ForPowering intelligent chatbots and virtual assistants to provide instant, accurate support.
Example Prompt / Workflow
Enterprise Search & RAG
ForEnhancing internal knowledge bases with semantic search and providing cited answers from documents.
Example Prompt / Workflow
Content Creation
ForAssisting with the generation of marketing copy, reports, and other business documents.
Example Prompt / Workflow
Frequently Asked Questions
Pricing
Command R
- ✓ 08-2024 version
Command R+
- ✓ 04-2024 version
Pros & Cons
Pros
- ✓ Highly scalable and performant for enterprise use.
- ✓ Strong focus on safety and responsible AI.
- ✓ Excellent multilingual capabilities.
- ✓ Advanced RAG and tool use features.
Cons
- ✕ Pricing for the more powerful R+ model can be high for some use cases.
- ✕ Newer model, so the community and third-party tool ecosystem is still growing.
Quick Start
Step 1
Sign up for a Cohere account.
Step 2
Get your API key from the dashboard.
Step 3
Install the Cohere Python SDK: `pip install cohere`
Step 4
Start making API calls to the Command R model.