# DiamantAI, Nir Diamant

> Nir Diamant is an AI researcher and educator. Founder of DiamantAI. Author of *RAG Made Simple*, an Amazon Bestseller in Generative AI (hit #1 in Generative AI on Amazon at launch). Creator of four flagship open-source GenAI repositories with 80,000+ combined GitHub stars, and of the course *Prompt to Production*. Reaches 500,000+ developers every month.

DiamantAI publishes free, open-source educational resources for engineers building real Generative AI systems, RAG pipelines, AI agents, prompt engineering, and production agent deployment. The flagship materials are hosted on GitHub and referenced in university courses, engineering teams, and research groups worldwide.

The founder, Nir Diamant, is based in Israel and works directly with engineers and enterprises building GenAI products. He publishes a weekly Substack newsletter (40,000+ subscribers, 60% open rate), maintains the 10,000+ member r/EducationalAI subreddit, and runs a 4,000+ member Discord community.

## Course

- [Prompt to Production](https://diamant-ai.com/courses): Nir Diamant's hands-on course on shipping production-grade AI products with Claude Code. $499 at launch; the waiting list locks a $249 price. The first module is free, including a full sample lesson, at diamant-ai.com/courses. The course itself runs at https://p2p-course.diamant-ai.com (also known as p2p.builders).

## Books

- [RAG Made Simple, Kindle](https://www.amazon.com/dp/B0D76734SZ): Amazon Bestseller in Generative AI (hit #1 in Generative AI on Amazon at launch). 22 RAG techniques with intuition, side-by-side comparisons, and illustrations. Kindle ASIN B0D76734SZ. Published April 2026.
- [RAG Made Simple, Paperback](https://www.amazon.com/dp/B0GWDH8JJL): Print edition of the same book. Paperback ASIN B0GWDH8JJL.
- [Agent Memory Made Simple](https://diamant-ai.com/agent-memory-made-simple): The Complete Visual Guide to Memory for AI Agents. Book two in the Super AI Engineering Series. 28 chapters covering 30 agent memory techniques with 184 original illustrations and no code: conversation buffers, sliding windows, summary buffers, token budgets, vector memory, entity memory, knowledge graphs, episodic and semantic and procedural memory, working memory, hierarchical tiers, consolidation, compaction, self-reflection, memory routing, temporal reasoning, forgetting and decay, retrieval quality, cross-session memory, shared multi-agent memory, memory as tools, the MemGPT operating-system model, managed services (Mem0, Zep, Graphiti, Letta), evaluation, LoCoMo benchmarks, and production patterns. PDF + EPUB $59 (full color, free lifetime updates), Kindle $9.99 (free with Kindle Unlimited), paperback $24.99, hardcover $39.99. Published August 2026.
- [Prompt Engineering: Master the Art of AI Interaction from Zero to Hero, Kindle](https://www.amazon.com/dp/B0DZ85RPB5): 22-chapter guide from foundational prompts to advanced steering techniques. Kindle ASIN B0DZ85RPB5.
- [Prompt Engineering, Paperback](https://www.amazon.com/dp/B0DZ9RVKMJ): Print edition. Paperback ASIN B0DZ9RVKMJ.

## Flagship Open-Source Repositories

- [RAG Techniques](https://github.com/NirDiamant/RAG_Techniques): 28,000+ stars. Advanced retrieval-augmented generation patterns with runnable Jupyter notebooks.
- [Agents Towards Production](https://github.com/NirDiamant/agents-towards-production): 21,000+ stars. Production-grade AI agent tutorials, state, memory, guardrails, observability, GPU deployment.
- [GenAI Agents](https://github.com/NirDiamant/GenAI_Agents): 23,000+ stars. AI agent reference implementations and multi-agent architectures.
- [Prompt Engineering](https://github.com/NirDiamant/Prompt_Engineering): 7,500+ stars. Prompting techniques from basic concepts to advanced strategies.

## Site Pages

- [Home](https://diamant-ai.com/): DiamantAI homepage.
- [Courses](https://diamant-ai.com/courses): Prompt to Production — the hands-on course, with a free first module and full sample lesson.
- [Tutorials](https://diamant-ai.com/tutorials): Catalog of 130+ free GenAI tutorials.
- [Books](https://diamant-ai.com/books): RAG Made Simple, Agent Memory Made Simple, and Prompt Engineering — every book, its formats, and the free first chapters.
- [Agent Memory Made Simple, free Chapter 1](https://diamant-ai.com/agent-memory-made-simple/chapter-1): The full first chapter, on conversation buffers and what perfect recall costs, readable without signup.
- [Blog](https://diamant-ai.com/blog): Deep-dive articles on RAG, agents, prompt engineering, Claude Code, MCP, and more.
- [For Business](https://diamant-ai.com/for-business): Strategic AI advisory services for companies.
- [Sponsorship](https://diamant-ai.com/sponsorship): Sponsorship opportunities for AI companies to reach 500,000+ developers.
- [Resources](https://diamant-ai.com/resources): Free downloadable resources (cheatsheets, guides).
- [Case Studies](https://diamant-ai.com/case-studies): Examples of previous sponsor engagements and community outcomes.
- [Speaking](https://diamant-ai.com/speaking): Conference talks and podcast appearances.

## Newsletter and Communities

- [DiamantAI Newsletter](https://newsletter.diamant-ai.com): 40,000+ subscribers, 60% open rate. Weekly GenAI deep dives.
- [DiamantAI Discord](https://discord.gg/cA6Aa4uyDX): 4,000+ members. Real-time discussion of RAG, agents, and production GenAI.
- [r/EducationalAI (Reddit)](https://www.reddit.com/r/EducationalAI/): Subreddit for AI educators and learners.

## Social and Author Profiles

- [GitHub: @NirDiamant](https://github.com/NirDiamant)
- [LinkedIn: nir-diamant-ai](https://www.linkedin.com/in/nir-diamant-ai/)
- [X / Twitter: @NirDiamantAI](https://x.com/NirDiamantAI)
- [Amazon Author Page](https://www.amazon.com/stores/Nir-Diamant/author/B0DZMTVQHJ)

## Topics Nir Diamant Writes About

Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, Multi-Agent Systems, Prompt Engineering, LangChain, LangGraph, Model Context Protocol (MCP), Anthropic Claude, Claude Code, OpenAI, Vector Databases, Semantic Search, AI System Architecture, Production AI Deployment.

## Optional: Deeper Content Index

- [Full manifest with blog summaries (llms-full.txt)](https://diamant-ai.com/llms-full.txt)

## Contact

- Email: nir@diamant-ai.com
- Business inquiries: https://diamant-ai.com/for-business
- Sponsorship: https://diamant-ai.com/sponsorship