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NirDiamant/README.md

Nir Diamant 🤖 – Generative AI • LLM • RAG • Production Agents

AI researcher · Community builder – reaching 500,000+ developers every month
Turning cutting-edge AI research into reliable, production-ready systems



Total GitHub Stars Join 30k plus readers of the DiamantAI newsletter Join 4k plus members on the DiamantAI Discord community

🏆 Amazon Bestseller in Generative AI

RAG Made Simple - Amazon bestseller in Generative AI

📖 RAG Made Simple - the complete visual guide to RAG

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

👉 Get RAG Made Simple (33% off with code RAGKING)

Companion: Prompt Engineering: Master the Art of AI Interaction

22 hands-on prompting techniques. The prompting foundation that makes RAG work better.

🤝 Collaboration – Feature Your AI Tool

If you build technology for the GenAI stack—vector databases, orchestration layers, observability, or security—let’s co-create an open-source Jupyter tutorial.

  • Reach – 500,000+ developer views per month
  • Format – Clear, reproducible notebooks with no paywalls
  • Goal – Provide the community with neutral, runnable end-to-end workflows

Interested? Contact me on LinkedIn or at Diamant-AI.com

⭐ Flagship Open-Source Projects

Repository Focus & Core Learning Live Stars
Agents Towards Production Memory, tool routing, guardrails, and CI/CD for production AI agents. Stars
Prompt Engineering 20-chapter series moving from prompt basics to advanced steering techniques. Stars
RAG Techniques 30+ tutorials on advanced retrieval, reranking, and evaluation pipelines. Stars
GenAI Agents Reference implementations for autonomous agents and multi-agent workflows. Stars

📚 Learn & Connect

  1. 💌 DiamantAI Newsletter – Weekly GenAI tutorials and code walkthroughs.
  2. 🧑‍💻 r/EducationalAI – Discuss prompts, RAG, and agent design.
  3. 💬 DiamantAI Discord – Real-time Q&A and project feedback.
  4. 🔗 LinkedIn – Daily updates on new GenAI tech highlights.

❤️ Support Open Source

  • Star the repositories you use – it helps others find these resources!
  • Sponsor via GitHub Sponsors or Buy Me a Coffee.
  • Share tutorials with your team and on social media.

Thank you for helping keep Generative AI education free for everyone 🙏

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  1. agents-towards-production agents-towards-production Public

    End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

    Jupyter Notebook 20.8k 2.8k

  2. RAG_Techniques RAG_Techniques Public

    This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

    Jupyter Notebook 28k 3.4k

  3. GenAI_Agents GenAI_Agents Public

    50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

    Jupyter Notebook 22.7k 3.8k

  4. Prompt_Engineering Prompt_Engineering Public

    22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

    Jupyter Notebook 7.6k 981

  5. Controllable-RAG-Agent Controllable-RAG-Agent Public

    This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

    Jupyter Notebook 1.6k 261

  6. Agent_Memory_Techniques Agent_Memory_Techniques Public

    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…

    Jupyter Notebook 531 71