Give your app search superpowers: Agent Retrieval (Vector Search 2.0)

This tutorial demonstrates how to add semantic search capabilities to applications using Google Cloud's Agent Retrieval (formerly Vector Search 2.0). Kaz Sato shows Martin Omander how to handle queries that require understanding user intent beyond exact keyword matches, like matching "something warm to wear in the snow" to "heavy winter jacket" automatically. The video covers the problem with traditional keyword search, how Agent Retrieval generates vector embeddings automatically, and how to combine keyword and vector search for optimal results.