Overview

Mastering Agentic AI: Build Intelligent Autonomous Python Systems and RAG Pipelines with LLMs, LlamaIndex, and LangChain The future of artificial intelligence lies in systems that can reason, plan, and act autonomously. This hands-on guide shows you how to build them. In this comprehensive book, you'll learn how to combine retrieval-augmented generation (RAG) with cutting-edge tools like LlamaIndex and LangChain to create production-ready pipelines that enhance the capabilities of large language models (LLMs). Step by step, you'll discover how to design intelligent, agentic AI applications that adapt to new information, solve complex tasks, and operate with true autonomy. Through practical Python tutorials and real-world examples, you'll move from the fundamentals of RAG to advanced pipeline architectures, learning how to integrate vector databases, orchestrate multi-step reasoning, and deploy AI systems at scale. Whether you're experimenting with prototypes or building enterprise-grade solutions, this book gives you the frameworks and tools you need. Inside, you will learn how to: Master RAG pipelines with LlamaIndex and LangChain for smarter AI applications Build next-generation GenAI systems powered by LLMs and advanced retrieval techniques Design and implement autonomous AI agents that can reason, plan, and adapt in real-world environments Apply Python-based frameworks to create custom, production-ready pipelines for enterprise and research use Written for developers, AI engineers, and forward-thinking enthusiasts, this book is your complete guide to building intelligent autonomous systems that go beyond static prompts and unlock the next frontier of AI innovation. Take your skills to the cutting edge of AI development. With this book, you won't just learn theory-you'll master the practice of creating agentic AI systems with RAG, LLMs, LlamaIndex, and LangChain.

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