Implementing RAG with SQL Database Vector Search and Semantic Kernel | Data Exposed: MVP Edition

From the creator

This demo combines the new Vector Support of Azure SQL Database with Semantic Kernel to create a RAG solution that allows to chat with our private documents. Chapters: 00:00 - Introduction 03:30 - Demo 11:30 - Getting started Resources: Announcing EAP for Vector Support in Azure SQL Database: https://devblogs.microsoft.com/azure-sql/announcing-eap-native-vector-support-in-azure-sql-database/ Demo repository with code: https://github.com/marcominerva/SqlDatabaseVectorSearch About Marco Minerva: Marco Minerva lives in Taggia, Italy, works as a freelance consultant and is involved in designing and developing solutions for the Microsoft ecosystem, building applications for Desktop, Mobile and Web. His greatest expertise is backend development as a software architect. He holds training courses. He is a speaker at technical events, writes books and articles about developing and regularly makes live streaming about coding on Twitch. He is a Microsoft MVP since 2013. 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 leade

Published 2024-09-24 · Watch on YouTube ↗
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