Understand the project
Practical overview
When it fits
Use it when you need a broad, organized starting point for studying prompt engineering or related language-model development topics, especially when research papers, lessons and notebooks are useful alongside introductory explanations.
Who it is for
- Developers designing prompting techniques that interface with language models and other tools.
- Researchers studying prompt performance across language-model tasks.
- Learners and educators building prompt-engineering courses, workshops or reference libraries.
Documented uses
- Learn prompt-engineering fundamentals, settings, elements and design tips.
- Compare prompting techniques such as zero-shot, few-shot, prompt chaining, ReAct and retrieval-augmented generation.
- Study applications including function calling, code generation, evaluation and synthetic datasets for RAG.
- Assemble structured learning or research material about context engineering and AI agents.
Before you choose
Requirements & limits
The repository is public and lists an MIT license. The evidence does not specify account requirements, pricing or service-availability terms.
- It combines guides, papers, lessons and notebooks in one resource collection.
- Its scope extends beyond basic prompting into RAG, context engineering, tool use and AI agents.
- The material includes both general techniques and application areas such as function calling, coding and evaluation.
- The repository is authored in MDX and is associated with a separate web version at promptingguide.ai.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- dair-ai/Prompt-Engineering-Guide · Official homepage title · retained in its source language