Agentic RAG

De: Ajit Singh

Narrado por: Virtual Voice

This book, "Agentic RAG," is crafted to serve as a comprehensive guide to this transformative domain. Recognizing the critical need for an educational resource that bridges theoretical foundations with practical applications, we have meticulously structured this text to cater to both beginners taking their first steps into the world of LLMs and advanced learners seeking to master the intricacies of agentic systems.


Key Features:


1. Comprehensive Coverage, Simplified Explanations: This book covers foundational concepts of LLMs and RAG, progressing to advanced topics in Agentic RAG, including agent architectures, tool integration, and sophisticated reasoning strategies. All concepts are presented in the simplest and most accessible language, ensuring easy comprehension for both beginners and advanced learners.
2. NEP 2020 & AICTE Compliant: The content and pedagogical approach are specifically designed to meet the rigorous academic standards and practical focus emphasized by the National Education Policy 2020 and the All India Council for Technical Education, making it an ideal textbook for Indian engineering and technology programs.
3. Global Academic Relevance: Beyond national curricula, the book's extensive coverage of cutting-edge topics in Agentic RAG ensures its compatibility and value for B.Tech/M.Tech courses at international universities, providing a truly global perspective on the subject.
4. Hands-on Practical Examples and Use Cases: Theory is consistently reinforced with practical examples, real-life scenarios, and code snippets throughout the chapters. This approach ensures that readers not only understand what Agentic RAG is but also how to implement it effectively.
5. Dedicated Capstone Project: Chapter 10 features a complete, live, and working capstone project that integrates all the concepts learned throughout the book. This includes a detailed problem statement, architectural design, step-by-step implementation guide, and the complete working code/program with thorough explanations, enabling readers to build a full-fledged Agentic RAG system from scratch.
6. Focus on Latest and Updated Topics: The book delves into the most recent advancements in the field, including multi-hop reasoning, advanced retrieval techniques, prompt engineering for agents, tool orchestration, ethical AI considerations, and future trends, preparing readers for the evolving landscape of AI.
7. Ethical Considerations and Responsible AI: A dedicated chapter explores the crucial ethical implications of autonomous agents, addressing bias, transparency, explainability, and responsible deployment strategies, fostering a holistic understanding of AI development.


Who This Book Is For:


1. Undergraduate (B.Tech) and Postgraduate (M.Tech) Students: Ideal for courses in Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Science.
2. AI/ML Practitioners and Developers: Those looking to implement advanced RAG and agentic systems in their professional projects.
3. Researchers and Academics: A valuable resource for staying abreast of the latest developments and exploring new research avenues in LLM and agent technologies.
4. Anyone with an interest in advanced LLM applications: Individuals seeking to understand and build intelligent systems that go beyond basic language generation.