RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to develop apps using RAG with .NET and Semantic Kernel. We'll walk through our .NET RAG solution, showing the process of data ingestion with Azure Document Intelligence and AI Search, then walking through the RAG steps of query rewriting, hybrid search, and question answering. You'll learn how to easily bring your own data into the RAG solution, and how to customize the prompts and Blazor UI for your domain.

Presented by Jordan Matthiesen (PM in .NET), Luis Quintanilla (PM in .NET), Bruno Capuano (Advocate for .NET)

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