How to Deploy an AI Coffee Shop Agent on Cloud Run Using Google ADK and RAG
In this hands-on Google Cloud Skills Boost lab, we build and deploy a customer-facing AI agent using the Google Agent Development Kit (ADK) , Retrieval-Augmented Generation (RAG) , and Cloud Run . The result is an intelligent coffee shop assistant that gives personalized recommendations by combining an AI agent with a knowledge base. The video below shows the full walkthrough, including the build and deployment errors I ran into along the way and how I fixed them. 📌 Introduction AI agents are quickly moving from demos to real customer-facing applications. Instead of a chatbot that only answers from its training data, an agent can reason, use tools, and pull in your own business information to give relevant answers. This lab walks through that idea end to end: build the agent locally, connect it to a knowledge base, and deploy it to Google Cloud Run so it runs as a live web service. 🎯 What You'll Learn Build an AI agent using Google ADK Understand how Retrieval-A...