Retrieval Augmented Generation (RAG) is a proven model for exposing your data to AI-assisted search platforms whilst breaking through the limitations of unwieldy Large Language Modules (LLMs). Microsoft gives us great tools like Azure AI Search, Azure OpenAI, and OpenAI Studio to build these solutions, but the complexity of the components and how they all fit together can be daunting. In this session, find out how Logic Apps Templates and built-in AI connectors can simplify the construction of both the ingestion and the retrieval processes that comprise your RAG platform, with no coding required!

Can go from 30 mins to 60 mins, depending on how much is shown in the demo. Requires internet access.