Drop the Bass with Embedding and Vectors in Azure AI Search

Explore the power of embedding and vector-based searches in Azure AI Search through this demo-intensive conference talk recorded at NDC AI in Oslo, Norway. Learn the 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 the analysis and embedding of data while understanding techniques to vectorize different media formats. Follow along as the speaker demonstrates creating vector-based indexes in Azure AI Search using both the Azure portal and programmatic approaches. Witness practical applications of text and image embedding, 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. Gain hands-on insights into the versatility of vector-based searching beyond traditional keyword searches, with real-world demonstrations showing both the theoretical foundations and practical implementation of these powerful AI search capabilities.