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 challenges faced by ML and AI teams in effectively utilising language models. It provides a comprehensive collection of guides, papers, and resources that streamline the process of prompt engineering and context engineering, making it easier for engineers to implement AI agents in their projects. With a maturity level that indicates production readiness, this open source tool is ideal for teams looking to enhance their AI capabilities. However, it may not be suitable for projects requiring highly specialised or niche solutions. The repository's impressive growth of 19.8% over 344 days, gaining 13,142 stars, serves as strong social proof of its value and relevance in the field.

🎯 When to Use

This repository is a strong choice when teams need a robust framework for developing and refining AI prompts, particularly in projects involving generative AI and language models. Teams should consider alternatives if they require highly specific solutions or if their focus is on a different aspect of AI development.

👥 Team Fit & Use Cases

Roles such as machine learning engineers, data scientists, and AI researchers will find this guide particularly beneficial. It is commonly integrated into products and systems that leverage AI-driven conversational agents and deep learning applications.

🎭 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 343 days, this repository gained 13.1k stars (+19.8% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.