| FazBrowse GitHub Viewer | Trending | | Home |
| Tools: [Original HTTPS Page] |
Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.
You must be logged in to block users.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseAI researcher · Community builder – reaching 500,000+ developers every month
Turning cutting-edge AI research into reliable, production-ready 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.
| 🎬 7-minute video lecture |
🛠️ Hands-on tutorial |
🤖 AI assistant inside Claude Code |
One npm install adds the module's AI assistant to your Claude Code, and it guides you through the tutorial as you build.
A 400-page reference: 22 techniques with the intuition behind each, side-by-side comparisons, and diagrams that make the tricky parts finally click.
1,500+ copies sold · Hit #1 in Generative AI on Amazon at launch · ⭐ 4.6 stars
📖 PDF + EPUB · GitHub community price: 33% off with code RAGKING
22 hands-on prompting techniques. The prompting foundation that makes RAG work better.
If you build technology for the GenAI stack—vector databases, orchestration layers, observability, or security—let’s co-create an open-source Jupyter tutorial.
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Interested? Contact me on LinkedIn or at Diamant-AI.com
| Repository | Focus & Core Learning | Live Stars |
|---|---|---|
| Agents Towards Production | Memory, tool routing, guardrails, and CI/CD for production AI agents. | |
| Prompt Engineering | 20-chapter series moving from prompt basics to advanced steering techniques. | |
| RAG Techniques | 30+ tutorials on advanced retrieval, reranking, and evaluation pipelines. | |
| GenAI Agents | Reference implementations for autonomous agents and multi-agent workflows. |
Thank you for helping keep Generative AI education free for everyone 🙏
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchma…
| Back | FazBrowse Home | New Git URL |