Build AI Agents for E-commerce with ADK and Vector Search

Learn to create AI agents for e-commerce applications using Google's Agent Development Kit (ADK) and Vector Search technology. Explore the limitations of basic RAG (Retrieval-Augmented Generation) scenarios in e-commerce contexts, including challenges with keyword searches, multimodal searches, and item recommendations. Discover advanced Vector Search practices including multimodal search capabilities, hybrid search approaches, and task-type embedding techniques. Examine how AI agents combined with Vector Search can enhance generative recommendations beyond simple text similarity matching. Follow along with a practical "Shopper's Concierge" demonstration that showcases ADK implementation, Google Search grounding, query generation, and multimodal item curation to find relevant products based on user intent. Access hands-on code implementation walkthroughs and sample notebooks to understand the technical architecture. Gain insights into design decisions such as using "Agent as a Tool" versus sub-agent approaches, and discover resources for getting started with Vertex AI Vector Search and the Agent Development Kit.