Learn to Build GenAI Hands-On
130+ free open-source tutorials on GenAI agents, RAG pipelines, and prompt engineering. Followed by 500,000+ developers each month.
The RAG Techniques Book
The extended version of the repository that hundreds of thousands of engineers already rely on, now in one structured book.
Everything in the repo, taken much further.
The notebooks show you how. The book shows you why, when each technique wins, and what quietly breaks the ones that look great in demos.
What you get inside
- Deep intuition behind every RAG technique, in plain language
- Side-by-side comparisons of when each approach wins or fails
- Illustrations that make the tricky parts finally click
- A structured path through the techniques, not a pile of notebooks
The price goes up the moment the launch ends, less than a coffee for months of research, writing, and iteration.
Built on the open-source RAG Techniques repo trusted by hundreds of thousands of engineers.
Trusted by the Creators of the GenAI Stack
Trusted by Millions of Developers
Building the world's largest community of hands-on GenAI practitioners.
Featured Tutorials
Open-source Jupyter notebooks covering the full GenAI development stack
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.
Prompt Engineering
A 22-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.
RAG Techniques
More than 30 tutorials demonstrating Retrieval-Augmented Generation methods, evaluation metrics, and best practices to build accurate and efficient RAG pipelines.
GenAI Agents
Guides and reference implementations for building chatbots, autonomous agents, and multi-agent workflows with memory and tool integrations.
Feature Your AI Technology
Partner with us to create engaging content that showcases your technology to 500,000+ developers monthly.
Selection
We identify a high-impact use case for your tool that resonates with the developer community.
Co-Creation
I build an end-to-end, vendor-agnostic Jupyter tutorial showcasing real-world implementation.
Distribution
The tutorial is featured to 500,000+ developers across GitHub, Newsletter, and Discord.
Trusted by Industry Leaders
Trusted by Industry Leaders
See what partners and clients say about working with DiamantAI
"Redis saw qualified, engaged traffic from week one that continued over time."
"The tutorial integration felt completely natural, our framework was showcased in a real-world context that developers immediately understood and adopted."
Mastering Prompt Engineering
170-page definitive guide with 22 advanced methods, real-world code examples, and hands-on exercises used by top AI engineers
Craft Better AI Prompts with Real-World Techniques
Used by top engineers at Fortune 500 companies worldwide
What's Inside?
7-day money-back guarantee
DiamantAI Newsletter
Weekly deep dives about everything to do with AI, described in an easy way to understand for tech enthusiasts up to experts
Enterprise-Grade GenAI Advisory
High-level guidance for strategy, roadmap reviews, and prompt engineering audits
Strategic Focus Sessions
Direct consultation on specific GenAI implementation challenges and architectural decisions. Get clarity on complex problems.
R&D Roadmap Review
Strategic guidance on technology choices and development priorities. Align your AI strategy with industry best practices.
Newsletter Spotlight
Feature your AI innovation in the weekly newsletter to reach 35,000+ engaged developers and decision makers.
Enterprise-grade consultation for Fortune 500 companies
I'm Nir Diamant – AI researcher, open-source educator, and community builder.
My 130+ tutorials help teams turn cutting-edge ideas into running code.
Start Your Journey
Ready to transform your ideas into reality? Let's discuss your project and explore the possibilities together.