Azure SQL DB & OpenAI: Building Powerful RAG Applications | Data Exposed: MVP Edition

Learn how to implement Retrieval Augmented Generation (RAG) directly within Azure SQL Database using your existing data and OpenAI's GPT models. This demonstration shows how to easily build new or enhance existing applications with powerful AI capabilities. Azure free trial: https://aka.ms/AzureFreeTrialYT 0:00 Introduction 2:00 What is RAG 3:49 Demo + Requirements 13:50 Getting started ✅ Resources: http://github.com/Azure-Samples/azure-sql-dbchatbot About Indira Bandari: Indira has a Masters degree in Statistics and have over 20 years of experience in designing and developing datawarehouses and analytical solutions. She is a co-organiser of the NZ Business Intelligence - Power BI User Group and Auckland Auckland Artificial Intelligence Meetups. She is also an international Speaker at various events and conferences. Volunteering and sharing knowledge is her passion. In her pass time she teaches game development for primary school kids. She also started teaching about databases and Power BI to 10 -15 year old kids to give them a taste of technology at a young age About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram 📌 Let's connect: Twitter: Anna Hoffman, https://twitter.com/AnalyticAnna Twitter: AzureSQL, https://aka.ms/azur