dair-ai/Prompt-Engineering-Guide resource

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77807 stars · 8546 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A comprehensive open-source guide by DAIR.AI collecting papers, lessons, notebooks, and resources on prompt engineering, context engineering, RAG, and AI agents for large language models. It is available as a website (promptingguide.ai) with multilingual support and companion courses.

Use cases

• learn prompt engineering techniques like chain-of-thought and few-shot prompting
• find papers and resources on RAG and AI agents
• study prompt injection and adversarial prompting risks
• get examples of prompts for classification, QA, and code generation
• prepare for building LLM applications with best practices
• learn context engineering for AI agents

When to choose

• you want a curated, up-to-date reference on prompting techniques and LLM capabilities
• you are a researcher or developer learning to work with LLMs
• you need educational material or lecture resources on prompt engineering, RAG, or agents

When to avoid

• you need runnable production software or a library to integrate into your codebase
• you want a structured interactive course rather than a reference guide
• you need vendor-specific official documentation

Facets

learning-resource · maturity active

prompt-engineering rag agent-framework nlp documentation large-language-models artificial-intelligence tutorials cross-platform llm prompting-techniques context-engineering educational-guide openai chatgpt notebooks retrieval-augmented-generation ai-agents natural-language-processing web-server

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For agents

markdown · JSON · MCP: product_card(name="dair-ai/Prompt-Engineering-Guide")