Agent Skills: Cohere Cookbooks Reference

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.

UncategorizedID: rshvr/unofficial-cohere-best-practices/cohere-cookbooks

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pnpm dlx add-skill https://github.com/RSHVR/unofficial-cohere-best-practices/tree/HEAD/skills/cohere-cookbooks

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skills/cohere-cookbooks/SKILL.md

Skill Metadata

Name
cohere-cookbooks
Description
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.

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.