Rag_techniques
A community-driven hub of 42+ runnable notebooks covering RAG techniques from foundational to cutting-edge - the intuition, the code, and the references to build more accurate, context-rich retrieval systems. Prompt to Production - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 17 modules, each pairing a video lecture with a hands-on lab, from your first structured prompt to a working production system. One npm install adds the module's AI assistant to your Claude Code, and it guides you through the tutorial as you build.
View Rag_techniques on GitHub
A community-driven hub of 42+ runnable notebooks covering RAG techniques from foundational to cutting-edge - the intuition, the code, and the references to build more accurate, context-rich retrieval systems.
Prompt to Production - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 17 modules, each pairing a video lecture with a hands-on lab, from your first structured prompt to a working production system.
One npm install adds the module's AI assistant to your Claude Code, and it guides you through the tutorial as you build.
Rag_techniques at a glance
| Stars | 30k |
|---|---|
| Forks | 3.6k |
| Language | Jupyter Notebook |
| License | Other |
| Last update | 2026-09-21 |
| Contributors | 47 |
How to install Rag_techniques
bash git clone https://github.com/NirDiamant/RAG_Techniques.git
Where Rag_techniques is listed
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