Explore the power of embedding and vector-based searches in Azure AI Search through this demo-intensive conference talk from NDC London. Learn fundamental concepts of embedding and nearest-neighbor search, discovering how to convert various data types including text, images, sounds, video, and music into numerical vectors for similarity searching. Master techniques for vectorizing different media formats and understand how to create vector-based indexes in Azure AI Search using both the Azure portal and programmatic approaches. Witness practical demonstrations of text and image embedding capabilities, then dive into advanced techniques for creating music indexes using beat signatures to find similar sounding patterns in songs. Discover how this technology enables seamless track mixing for AI-augmented audio experiences, moving beyond traditional keyword search to unlock new possibilities in content discovery and recommendation systems.