Agentic Search

De: Ajit Singh

Narrado por: Virtual Voice

What is this Book About?


"Agentic Search" is a comprehensive guide to the next generation of artificial intelligence, where AI systems move beyond simply answering queries to autonomously performing complex tasks and achieving goals on your behalf. This book demystifies the technology behind AI agents—intelligent systems that can perceive their environment, reason, plan, and act. We explore how the power of Large Language Models (LLMs) is being harnessed to create sophisticated agents that can browse the web, use software tools, write code, and collaborate with each other to solve problems that were previously the sole domain of humans.


Key Features:


1. Beginner to Advanced Trajectory: The book’s 10-chapter structure smoothly transitions from introductory topics for B.Tech students to advanced concepts suitable for M.Tech students and AI professionals.
2. Hands-On Labs in Every Chapter: Each chapter includes practical exercises and labs using Python and popular AI frameworks like LangChain, ensuring active, experiential learning.
3. Real-World Case Studies: Explore how agentic systems are being used at companies like Google and in applications ranging from automated financial analysis to personalized healthcare.
4. End-to-End Capstone Project: A complete, working DIY project in the final chapter with a full code walkthrough to solidify learning and provide a portfolio-worthy piece.
5. Focus on Latest Tools: Gain practical experience with the most current and in-demand open-source tools and frameworks in the AI industry.
6. Globally Relevant Curriculum: The content is aligned with the AICTE syllabus and is compatible with AI and Computer Science curricula at major international universities.


Who is this Book For?


This book is primarily intended for:

1. B.Tech/M.Tech Students: Undergraduates and postgraduates in Computer Science, Information Technology, Artificial Intelligence, and related engineering disciplines.
2. AI/ML Practitioners & Developers: Professionals looking to upskill and transition from traditional machine learning to the rapidly growing field of AI agents.
3. Academic Researchers: Scholars and researchers seeking a structured text on the foundational and advanced aspects of intelligent agents and LLM-powered systems.
4. Technology Enthusiasts & Hobbyists: Anyone with a passion for AI who wants to move beyond just using AI tools to understanding and building them.