patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This collection of projects helps AI practitioners and developers quickly learn and implement various AI applications, from basic document chat to complex multi-agent systems. It provides practical, hands-on examples that take in various forms of data like text, images, audio, or web content, and output functional AI tools such as OCR apps, chatbots, automated content generators, or analytical agents. Individuals involved in AI development, research, or application building across different industries would find this resource valuable.
31,862 stars.
Use this if you are an AI practitioner, developer, or researcher looking for practical, production-ready examples and tutorials to build or enhance AI applications, particularly with LLMs, RAG, and AI agents.
Not ideal if you are looking for a ready-to-use, off-the-shelf AI product rather than code examples and development resources.
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31,862
Forks
5,209
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2026
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