#243 · Primary category: Education & Research
ai-cookbook
Examples and tutorials to help developers build AI systems
Project last updated:07/09/26
GitHub Stars
4.4K
Forks
1.6K
Contributors
3
License
MIT
Why we included this project
This is a practical tutorial collection from an AI engineer who ships real client work, and that background shows in how the examples are framed. It walks you through building agentic retrieval pipelines, multi-source knowledge retrieval that combines internal stores with live web search, and knowledge extraction using tools like Docling, all in a copy/paste style aimed at getting something running quickly. Developers who learn best by reading working code rather than documentation will find ready-made starting points they can adapt. It pairs well with the author's video walkthroughs, so you can watch a pattern explained and then pull the corresponding snippet into your own project. For a small team short on time, it is a fast way to see how current agent and RAG patterns are actually assembled end to end.
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