Microsoft Developer presents a session led by Indira Bandari exploring how to build Retrieval Augmented Generation (RAG) apps by integrating OpenAI’s GPT models with Azure SQL Database.

Azure SQL DB & OpenAI: Building Powerful RAG Applications

Presented by Indira Bandari

In this Data Exposed: MVP Edition episode, discover how to empower your applications using Retrieval Augmented Generation (RAG) directly within Azure SQL Database, leveraging your enterprise or custom data and OpenAI’s GPT models.

What You'll Learn

• Introduction to RAG: Understand the fundamentals of Retrieval Augmented Generation and how it enhances AI-driven applications with reliable data retrieval and natural language generation.
• Demo & Requirements: Watch an in-depth demonstration, including prerequisites for integrating Azure SQL Database with OpenAI's GPT models.
• Step-by-Step Guidance: Learn how to get started, from setup to building or enhancing applications with these powerful AI capabilities.

Key Resources

• Sample Code & Repository: Azure-Samples/azure-sql-dbchatbot
• Data Exposed MVP Edition Playlist: Watch more episodes
• Connect with Anna Hoffman: Twitter: @AnalyticAnna
• Find more from Azure SQL: Azure SQL on YouTube

About the Presenter

• Indira Bandari: Expert in data warehouses and analytics, co-organizer of the NZ Business Intelligence - Power BI User Group, and passionate educator in technology.

Getting Started

1. Review the demo and requirements starting at 3:49 in the video
2. Follow along to set up your Azure SQL Database with RAG capabilities
3. Enhance or build applications by integrating OpenAI’s GPT and your data securely

This episode is ideal for developers, data engineers, and architects wanting to integrate state-of-the-art AI into SQL-powered solutions using the Microsoft Azure platform.