This session Vector Search with Azure SQL Database is a deep dive into the cutting-edge integration of vector search capabilities with Azure SQL Database, revolutionizing the landscape of search functionalities. Attendees will gain insights into the principles of vector search and how it surpasses traditional search methods. Participants will gain insights into the principles of vector search, surpassing conventional methods, and delve into topics such as Integrated Vectorization, Retrieval Augmented Generation (RAG), Chunking, OpenAI, and more. The session will detail the seamless integration of vector search with Azure SQL Database, allowing for efficient similarity searches across vast datasets. Participants will explore real-world use cases, demonstrating how vector search transforms information retrieval, enhances recommendation systems, and facilitates content matching. This session is tailored for Data and AI developers, architects, and data enthusiasts keen on harnessing the power of vector search within the Azure SQL ecosystem for more robust and intelligent search experiences.