Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

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💡 Why It Matters

The Prompt-Engineering-Guide addresses the need for structured resources in prompt engineering, a crucial aspect for ML and AI teams working with language models. It provides guides, papers, and practical lessons, making it a valuable asset for engineers looking to enhance their understanding of AI agents and generative AI. With a growth trend of 19.1% over 332 days, this repository demonstrates its increasing relevance and adoption within the community. It is a production-ready solution, suitable for teams aiming to implement AI-driven applications. However, it may not be the right choice for those seeking highly specific or niche resources that fall outside the general scope of prompt engineering.

🎯 When to Use

This repository is a strong choice when teams are looking to improve their prompt engineering skills and need a comprehensive set of resources. Teams should consider alternatives if they require highly specialised content or tools that cater to specific use cases outside the general framework provided.

👥 Team Fit & Use Cases

Roles such as machine learning engineers, data scientists, and AI researchers will find this repository particularly useful. It is typically included in projects focused on developing AI applications, chatbots, and other systems that rely on effective language model interactions.

🎭 Best For

🏷️ Topics & Ecosystem

agent agents ai-agents chatgpt deep-learning generative-ai language-model llms openai prompt-engineering rag

📊 Activity

Latest commit: 2026-03-11. Over the past 331 days, this repository gained 12.7k stars (+19.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.