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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 across Nir Diamant open-source AI repositories

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

🤝 Collaboration – Feature Your AI Tool in an Open Notebook

If you build technology that fits the generative AI agent or Retrieval-Augmented Generation stack - vector databases, embeddings APIs, real time web search, orchestration layers, observability platforms, GPU hosting, security guardrails, and similar - let us co-create an open source Jupyter tutorial that shows developers a neutral end to end workflow for your tool. The content stays free and vendor agnostic, you gain authentic adoption, and the community gets another fully runnable example.

  • Reach - 500 000+ developer views per month
  • Format - clear, reproducible notebooks with no paywalls or ads
  • Goal - give developers runnable examples while partners gain authentic adoption

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

⭐ Flagship Open-Source Projects

Repository What you learn Live Stars
Agents Towards Production Step-by-step notebook tutorials that cover ingestion, retrieval, memory, tool routing, guardrails, evaluation, observability, CI/CD, cost tracking, security, and cloud deployment for production-ready AI agents. Stars on Agents Towards Production
Prompt Engineering A 20-chapter notebook series that moves from prompt basics to advanced techniques with hands-on code examples and exercises drawn from the 170-page Prompt Engineering handbook. Stars on Prompt Engineering repo
RAG Techniques More than 30 tutorials demonstrating Retrieval-Augmented Generation methods, evaluation metrics, and best practices to build accurate and efficient RAG pipelines. Stars on RAG Techniques repo
GenAI Agents Guides and reference implementations for building chatbots, autonomous agents, and multi-agent workflows with memory and tool integrations. Stars on GenAI Agents repo

📚 Learn & Connect

  1. 💌 DiamantAI Newsletter – weekly Generative AI tutorials and code walkthroughs
    Subscribe
  2. 🧑‍💻 r/EducationalAI – discuss prompts, RAG pipelines, and agent designs
    Join the subreddit
  3. 💬 DiamantAI Discord – real-time Q&A and project feedback
    Join the server
  4. 🔗 LinkedIn – follow for fresh tutorials, project updates, and new Gen AI tech highlights
    Connect

❤️ Support Open Source

  • ⭐ Star the repositories you use – it boosts visibility
  • ☕ Sponsor via GitHub Sponsors or Buy Me a Coffee
  • 📢 Share tutorials with colleagues and on social media

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

Pinned Loading

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

    This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

    Jupyter Notebook 14.8k 1.9k

  2. RAG_Techniques RAG_Techniques Public

    This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

    Jupyter Notebook 22.8k 2.6k

  3. GenAI_Agents GenAI_Agents Public

    This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

    Jupyter Notebook 17.6k 2.9k

  4. Prompt_Engineering Prompt_Engineering Public

    This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…

    Jupyter Notebook 6.8k 857

  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 1.5k 241