mac999/LLM-RAG-Agent-Tutorial

LLM-RAG-Agent-Tutorial

47
/ 100
Emerging

This project provides comprehensive educational materials for developers to understand and build advanced AI applications. It offers a structured syllabus, code examples, and presentations to guide users in creating creative AI agents, leveraging large language models (LLMs) and retrieval-augmented generation (RAG). Developers, AI engineers, and data scientists looking to implement custom AI agents and intelligent systems will find this resource valuable.

Use this if you are an AI developer, engineer, or data scientist seeking to deeply understand and implement LLMs, RAG, and AI agents for various applications.

Not ideal if you are looking for an out-of-the-box solution or a high-level conceptual overview without diving into the code and underlying mechanisms.

AI-agent-development LLM-customization retrieval-augmented-generation natural-language-processing AI-system-design
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 16 / 25

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Stars

17

Forks

7

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 14, 2026

Commits (30d)

0

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