Drop the Bass with Embedding and Vectors in Azure AI Search

Alan Smith’s NDC Copenhagen session dives into Azure AI Search’s new vector-based search capabilities: turn any data—text, images, sounds, even music—into numerical embeddings and hunt down similar items with nearest-neighbor queries. You’ll get the lowdown on how embedding works, why it’s so powerful, and how it goes way beyond simple keyword lookup.

This demo-heavy talk shows you step by step how to spin up vector indexes in the Azure portal or via code. Watch Alan embed text and images, then crank it up by indexing beat signatures to mix tracks on the fly—find matching rhythms and blend songs seamlessly for an AI-powered audio mashup. Ya’ll ready for this?

Watch on YouTube