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 Search(Google Cloud Agent Development Series: Practical Guides to AI Agents with Adk, Vertex Ai, and Gemini)

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 Search Unlock 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 Out This 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 Learn How Retrieval-Augmented Generation (RAG) agents work and why they revolutionize AI applications Setting up and configuring Google Cloud projects and permissions for AI workflows Using ADK tools for corpus management, document ingestion, chunking, embedding, and indexing Crafting effective prompt templates to improve response quality and reduce hallucination Deploying RAG agents using Vertex AI Agent Engine and automating workflows with Cloud Run and Cloud Functions Scaling AI agents across multiple projects and use cases with best practices for security and cost management Debugging, monitoring, and optimizing RAG agent performance for real-world deployments Table of Contents Highlights Introduction to AI Agents and RAG with Google Cloud Google Cloud Project Setup and IAM Configuration Installing and Using Google Cloud CLI for AI Development Building and Running RAG Agents Locally Deep Dive into Agent Architecture, Retriever, and Generator Components Creating, Managing, and Validating Knowledge Corpora Querying RAG Agents: Sending Questions, Formatting Responses, and Improving Outputs Document and Corpus Deletion, Lifecycle, and Cost Management Deploying and Scaling Agents on Google Cloud Platforms Automating AI Agent Workflows with Serverless Computing Who Should Read This Book If 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.