Retrieval-Augmented Generation (RAG) 2.0 represents the next evolution in building intelligent, autonomous, and scalable AI systems. It combines the reasoning power of Large Language Models (LLMs) with real-time access to external knowledge via modular pipelines, vector databases, memory layers, and agentic orchestration. As the backbone of modern AI applications—from autonomous agents to enterprise-grade copilots—RAG 2.0 enables real-world deployment of systems that plan, retrieve, reason, and adapt intelligently. Written by expert AI systems architect Nathan Steele , this book blends advanced theory with real-world application. With hands-on code using LangChain, OpenAI, FAISS, Pinecone, ChromaDB , and LangGraph , it’s grounded in the latest research and field-tested practices powering autonomous AI frameworks across leading tech companies. Agentic AI with RAG 2.0 is your definitive, step-by-step guide to designing and deploying powerful modular AI systems that reason, retrieve, and act autonomously. From data preprocessing and vector store integration to prompt optimization and multi-agent collaboration, this book walks you through every layer of building scalable, high-performance agentic AI pipelines. Each chapter includes up-to-date tutorials, fully working examples, architectural best practices, and expert insights to help you build robust, production-ready systems with confidence. What’s Inside: Modular pipeline design using LangChain and LangGraph - Building retrieval chains with FAISS , ChromaDB , Pinecone - Vector search tuning and hybrid retrieval strategies - Tool use, memory, and multi-step reasoning for autonomous agents - Fine-tuning, hallucination mitigation, and prompt engineering - Secure deployment, logging, monitoring, and failure recovery - Scaling infrastructure for high availability and cost optimization - Complete blueprints for deploying agentic RAG systems in real-world applications This book is for machine learning engineers, AI developers, software architects, data scientists , and technical leaders looking to build cutting-edge AI systems with agentic behavior, modular pipelines, and scalable architecture. Whether you're deploying copilots, intelligent assistants, or autonomous systems, you’ll gain the skills to implement robust RAG-powered solutions. You don’t need to spend months reading research papers or debugging fragmented tutorials. This book distills years of expert practice into one coherent, actionable guide that saves you time and gets you building from day one. Learn not just the how , but also the why behind every architectural decision—quickly. Build smarter AI now. If you're serious about AI development, this is the most comprehensive book on Agentic RAG pipelines you'll find. Grab your copy of Agentic AI with RAG 2.0 today and start building autonomous, scalable AI systems that truly understand, reason, and act.