Build AI Agents with Google ADK and Vertex AI RAG (Paperback)

Paperback. Build AI Agents with Google ADK and Vertex AI RAG: The Complete Guide to Developing Retrieval-Augmented Generation Agents with Agent Development Kit, LLM Tools, and Vector SearchUnlock the power of modern AI with Build AI Agents with Google ADK and Vertex AI RAG, your comprehensive, step-by-step guide to creating intelligent, context-aware AI agents using Google Cloud's cutting-edge Agent Development Kit (ADK) and Vertex AI Retrieval-Augmented Generation (RAG) engine. Designed for AI developers, data scientists, and cloud architects, this book demystifies the complex process of building scalable, efficient, and highly accurate RAG agents that combine vector search with large language models (LLMs) for advanced knowledge retrieval and natural language understanding.Why This Book Stands OutThis practical guide is crafted with the latest 2025 technologies and best practices, ensuring you master the most current tools and frameworks in AI agent development. The book delivers a deep dive into Google's Agent Development Kit, Google Cloud CLI, and Vertex AI services, walking you through corpus creation, data ingestion, prompt engineering, deployment, and scaling.Written by Nathaniel Crossfield, a seasoned AI and cloud technology expert, this book combines clear explanations, hands-on tutorials, and professional insights, making it both accessible to beginners and valuable for seasoned practitioners aiming to build production-grade AI agents.What You Will LearnHow Retrieval-Augmented Generation (RAG) agents work and why they revolutionize AI applicationsSetting up and configuring Google Cloud projects and permissions for AI workflowsUsing ADK tools for corpus management, document ingestion, chunking, embedding, and indexingCrafting effective prompt templates to improve response quality and reduce hallucinationDeploying RAG agents using Vertex AI Agent Engine and automating workflows with Cloud Run and Cloud FunctionsScaling AI agents across multiple projects and use cases with best practices for security and cost managementDebugging, monitoring, and optimizing RAG agent performance for real-world deploymentsTable of Contents HighlightsIntroduction to AI Agents and RAG with Google CloudGoogle Cloud Project Setup and IAM ConfigurationInstalling and Using Google Cloud CLI for AI DevelopmentBuilding and Running RAG Agents LocallyDeep Dive into Agent Architecture, Retriever, and Generator ComponentsCreating, Managing, and Validating Knowledge CorporaQuerying RAG Agents: Sending Questions, Formatting Responses, and Improving OutputsDocument and Corpus Deletion, Lifecycle, and Cost ManagementDeploying and Scaling Agents on Google Cloud PlatformsAutomating AI Agent Workflows with Serverless ComputingWho Should Read This BookIf you are an AI developer, machine learning engineer, or cloud practitioner eager to harness Google's AI ecosystem to build advanced conversational agents, search assistants, or enterprise knowledge bots, this book is your essential companion. Its up-to-date content, practical code examples, and professional tone will accelerate your learning curve and empower you to deploy scalable AI solutions confidently.Build AI Agents with Google ADK and Vertex AI RAG combines the power of vector search, large language models, and cloud automation into one definitive resource. Elevate your AI projects today-transform data into actionable knowledge with advanced RAG agents built on Google Cloud. This item is printed on Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…