# Cohere Cookbooks

> Official Cohere cookbooks and tutorials for production patterns. Links to RAG implementations, agent workflows, enterprise integrations, and real-world use cases from the Cohere developer experience repository.

- Skill: `rshvr/cohere-cookbooks` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rshvr/cohere-cookbooks`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rshvr/cohere-cookbooks/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rshvr (https://skillmd.com/u/rshvr)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rshvr/cohere-cookbooks

---


# 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](https://github.com/cohere-ai/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

```bash
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.