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
- Browse the repository: https://github.com/cohere-ai/cohere-developer-experience
- Find relevant notebooks: Look in the
notebooks/orcookbooks/directories - 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.