UPDATE: The Teams link will be sent to those registered the day of the event.
Getting Started with Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG) seems to be the most popular way people are using AI in their own applications. If you have any business applications that could be enhanced by adding the ability to search your data (database or documents) using a ChatGPT like interaction, then RAG may be the starting point for you.
In this session, I will do a quick introduction of the parts of a RAG implementation - though I do assume you are already familiar with what Large Language Models (LLM's) are and how to use them. The majority of the session will be spent looking at different ways to implement the RAG pattern using Azure and OpenAI services. We'll start with a simple naïve implementation and get into more detail on ways to improve the functionality.
Speaker: Jason Haley
Jason is an independent consultant who focuses on Azure, Kubernetes, .NET, SQL Server, and Angular. He has 20+ years of experience architecting, designing, developing, and delivering software solutions using (mostly) Microsoft technologies. He is also a Microsoft Azure MVP and leads the North Boston Azure User Group.