RAG in Azure AI Studio
Details
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 build a RAG-based custom copilot end-to-end using Azure AI Studio, code-first. We'll walk through "Contoso Chat", a retail copilot scenario with product and customer data. We'll explore prompt engineering using prompty assets, orchestration with promptflow flex-flows and automated provisioning and deployment with azd. You'll learn how to build & test your copilot locally (in VS Code), then deploy & test it in production on Azure.
Presented by Leah Bar-On Simmons (Azure AI PM) and Nitya Narasimhan (Azure AI Advocate)
** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **
📌 Check out the RAGHack 2024 series here!
Pre-requisites:
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Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
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Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!
