Overview

RAG 2.0+ Agentic AI: Mastering Autonomous AI Systems with Advanced Retrieval-Augmented Generation, Practical Code, and Real-World ApplicationsUnlock the next evolution in artificial intelligence. Learn how to design, build, and deploy intelligent, self-directed AI systems powered by advanced RAG 2.0+ and agentic frameworks. In a world where AI is rapidly evolving from simple chatbots to autonomous, reasoning agents, RAG 2.0+ Agentic AI serves as your definitive guide to mastering this transformation. This book combines deep theoretical clarity with practical, hands-on coding examples to help you build scalable and explainable agentic AI systems that learn, plan, and act intelligently. Through clear explanations and real-world scenarios, you'll explore the next generation of Retrieval-Augmented Generation (RAG) RAG 2.0+ where context retrieval, reasoning, and dynamic decision-making converge to create truly autonomous systems. Whether you're a developer, researcher, or AI enthusiast, this book empowers you to design architectures that are modular, adaptive, and aligned with ethical principles. By blending modern frameworks, performance optimization, and real-world use cases across healthcare, finance, and education, you'll gain the technical and conceptual mastery needed to stay ahead in the AI revolution. Benefits: Comprehensive RAG 2.0+ Framework: Understand the evolution from traditional RAG to adaptive, reasoning-driven architectures. Practical Code Walkthroughs: Step-by-step examples in Python using LangChain, LlamaIndex, and OpenAI toolkits. Agentic System Design: Learn to build autonomous agents that plan, reason, and act with minimal human intervention. Real-World Applications: Apply RAG 2.0+ to industries like healthcare diagnostics, financial analytics, and intelligent tutoring. Ethical and Scalable AI: Explore responsible design principles, alignment strategies, and performance best practices. Take the next step in your AI journey. Master RAG 2.0+ and agentic intelligence today build the systems that will shape tomorrow.

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