Generating embeddings takes five lines of code, yet making vector search fast, accurate, and affordable on real business data is notoriously hard. In this session, we cover vector data modeling end-to-end: what vectors are, how to generate and index them, and how to put them to work in Azure Cosmos DB. We then explore Large Database Models (LDMs) and how to model structured records to run behavioral similarity search across your database.