Cohere Cookbooks Reference

Official Resources

• Docs & Cookbooks: https://github.com/cohere-ai/cohere-developer-experience
• API Reference: https://docs.cohere.com/reference/about

Official Cookbook Repository

The cohere-developer-experience repository contains official, up-to-date cookbooks covering:

RAG & Search

• Basic RAG implementation
• Multi-hop RAG for complex queries
• Reranking integration patterns
• Hybrid search (keyword + semantic)

Agents & Tool Use

• ReAct agent patterns
• Multi-tool orchestration
• LangChain/LangGraph integration
• Human-in-the-loop workflows

Embeddings

• Semantic search implementations
• Document clustering
• Similarity-based recommendations
• Multilingual embedding use cases

Enterprise Patterns

• Production deployment guides
• Batch processing at scale
• Error handling and retries
• Cost optimization strategies

How to Use the Cookbooks

1. Browse the repository: https://github.com/cohere-ai/cohere-developer-experience
2. Find relevant notebooks: Look in the notebooks/ or cookbooks/ directories
3. Run locally: Clone and run Jupyter notebooks with your API key

git clone https://github.com/cohere-ai/cohere-developer-experience.git
cd cohere-developer-experience
pip install -r requirements.txt
jupyter notebook

Quick Links

Topic	Description
RAG	Retrieval-augmented generation patterns
Agents	Tool use and agentic workflows
Embeddings	Vector search and semantic similarity
Reranking	Two-stage retrieval optimization
Streaming	Real-time response generation
Structured Output	JSON mode and schema enforcement

Note: The official cookbooks are continuously updated. Always refer to the GitHub repository for the latest patterns and best practices.