Microsoft Reactor

RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. How do you build a RAG solution on data already stored in SQL Server or Azure SQL? In this session you'll learn about existing and future options that you can start to use right tomorrow, leveraging Azure SQL as a vector store and taking advantage of its established performances, security and enterprise readiness!

Presented by Davide Mauri, Principal Product Manager on Azure SQL DB

** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **