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RSHVR

cohere-cookbooks

by @RSHVR in AI & LLM
1
0
# Install this skill:
npx skills add RSHVR/unofficial-cohere-best-practices --skill "cohere-cookbooks"

Install specific skill from multi-skill repository

# 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.

# SKILL.md

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:

  • 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
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.

# Related Skills

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.