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Prompt-Engineering-Guide

dair-ai/Prompt-Engineering-Guide

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

GraphCanon updated 3d · GitHub synced 3d · 26 views this month

78k stars8.5k forksLast push 5mo MDX MIT

Decision brief

Decision-critical facts for Prompt-Engineering-Guide

Good fit when

  • When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
  • If your project involves managing or developing AI agents, where this repository can provide specialized guidance in navigating context engineering and RAG (Retrieval-Augmented Generation) effectively

Avoid when

  • Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting.
  • Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (159d since push)
As of 3d
Provenance
Not a fork · Organization account
As of 3d
Security (OSV)
No criticals
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/dair-ai/Prompt-Engineering-Guide

How it fits your stack(48)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A collection of guides, educational materials, and resources focused on the techniques and tools needed to perform effective prompt engineering and manage AI agents. It covers various aspects including context engineering and Retrieval-Augmented Generation (RAG).

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Aug 18, 2026

MCP server
No MCP server detected

Source: repo_scan · Aug 18, 2026

Languages
mdx, javascript, typescript

Source: github.language+package.json · Aug 18, 2026

Categories

Tags

README

License

MIT License

Feel free to open a PR if you think something is missing here. Always welcome feedback and suggestions. Just open an issue!

For agents

This page has a .md twin and JSON over the API.

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