Retrieval-Augmented Generation (RAG)

Tech Innovators & Startups - exploring how to leverage RAG for real-world business solutions and automation. Why This Book Stands Out

RAG & Search Engines in AI

This book provides a clear, step-by-step approach to building, scaling, and monetizing RAG-driven AI applications.

From Concept to Creation: Retrieval-Augmented Generation (RAG)

"From Concept to Creation: Retrieval-Augmented Generation (RAG) Handbook" serves as a comprehensive guide for both novices and experts delving into the realm of advanced generative AI. This handbook demystifies the intricate process of ...

RAG in AI

This book, "RAG in AI: Unlocking Knowledge with Retrieval-Augmented Generation," explores the evolution, architecture, real-world applications, and future potential of RAG systems.

Mastering RAG 2.0

This book guides readers through the process of creating intelligent, context-aware AI agents capable of tackling complex tasks-from enterprise knowledge management to conversational chatbots.

Handbook of Retrieval Augmented Generation

Inside this handbook, you will discover: Foundational principles of Retrieval-Augmented Generation (RAG), including semantic embeddings, vector search, and prompt engineering Step-by-step guidance on building scalable, efficient RAG ...

RAG Generative AI

Retrieval-Augmented Generation (RAG) is a cutting-edge technology that combines the power of large language models with external knowledge sources to create more informative, relevant, and creative AI applications.This comprehensive guide ...

RAG 2.0 in Action

This is not just a book about RAG - it's your roadmap to building the intelligent systems that will define the next era of AI. Perfect for: Developers - Machine-Learning Engineers - AI Researchers - System Architects - Technical Leaders ...

Mastering RAG with LangChain

The future of intelligent apps isn't coming. It's already here. And with this book, you're not just keeping up-you're mastering it.

Advanced RAG with AI Agents

Inside this groundbreaking guide, you'll learn how to: - Master Retrieval-Augmented Generation (RAG) from first principles - Implement intelligent agents using LangChain and the ReAct framework - Build scalable vector stores with Chroma and ...

Agentic RAG with N8n

Why This Book Stands Out Action-first approach - every workflow, function, and command is complete, working, and explained in context.