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Overview

Cohere builds enterprise-focused language models optimized for search, retrieval-augmented generation (RAG), and text understanding. Their Command R family excels at grounded generation with citations, making them ideal for knowledge-intensive workflows.

Supported Models

ModelDescriptionBest For
Command R+Most capable, with RAGComplex reasoning, research
Command RBalanced, with RAGGeneral tasks, grounded answers
EmbedText embedding modelSemantic search, similarity

Setup

1

Get API Key

  1. Go to Cohere Dashboard
  2. Sign in or create an account
  3. Navigate to API Keys
  4. Copy your default API key or create a new one
2

Configure in EnConvo

  1. Open SettingsAI Provider
  2. Select Cohere
  3. Go to Credentials module
  4. Enter your API key
3

Select Model

Choose your preferred model from the dropdown

Configuration

SettingDescriptionDefault
CredentialsAPI key configurationRequired
Model NameModel to useCommand R+
TemperatureCreativity (0-2)Medium (1)

Validate and Use

1

Validate credentials

Click Validate in the Cohere credential settings. If validation fails, confirm the API key is active in the Cohere dashboard.
2

Choose the right Command model

Use Command R+ for complex grounded answers and Command R for lighter RAG or summarization tasks.
3

Pair with Knowledge Base

For document Q&A, combine Cohere with EnConvo’s Knowledge Base so the prompt includes retrieved context.

Pricing

Check Cohere Pricing for current rates.
ModelInputOutput
Command R+$2.50/1M$10/1M
Command R$0.15/1M$0.60/1M
Cohere offers a generous free tier (rate-limited) for development and prototyping, with no credit card required.

Why Cohere?

Grounded Generation

Command R models can cite sources, reducing hallucinations

Enterprise Ready

SOC 2 compliant with data privacy guarantees

RAG Optimized

Built-in support for retrieval-augmented generation

Multilingual

Strong performance across 100+ languages

Best Practices

  • Command R+: Research, document analysis, complex Q&A with citations
  • Command R: Everyday chat, summarization, lightweight grounded tasks
  • Embed: Building search indexes, semantic similarity, clustering
Cohere models are specifically tuned for RAG. Pair them with EnConvo’s Knowledge Base feature for best results when working with your own documents.

Troubleshooting

  • Verify the key is copied correctly from dashboard.cohere.com
  • Check if the key has been revoked
  • Ensure your account is active
  • Free tier is limited to a set number of API calls per minute
  • Upgrade to a production key for higher limits
  • Use Command R instead of Command R+ to stay within quota
  • Adjust temperature for more or less creative outputs
  • Ensure you are using the correct model for your use case
  • Check the Cohere status page for service issues