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Explore the power of embedding and vector-based searches in Azure AI Search through this comprehensive conference talk from NDC Copenhagen 2025. Learn how Azure AI Search extends beyond traditional keyword searches to enable vector-based searching capabilities that work with text, images, sounds, video, and music by converting data items into numerical embeddings. Discover the fundamental concepts of embedding and nearest-neighbor search through detailed explanations of data analysis and vectorization techniques for various media types. Follow along with extensive demonstrations showing how to create vector-based indexes in Azure AI Search using both the Azure portal and programmatic approaches. Master text and image embedding implementation, then dive into advanced techniques for creating music indexes using beat signatures to find similar sounding patterns in songs. See how these capabilities enable seamless track mixing and AI-augmented audio experiences by identifying songs with compatible beat patterns. Gain practical insights into the versatility and real-world applications of vector-based searching technology through hands-on examples and live demonstrations that test theoretical concepts against practical implementation challenges.
