Building RAG applications with KAITO RAGEngine

Retrieval Augmented Generation (RAG) enhances LLMs with external knowledge for accurate, context-aware responses. This lab guides you through deploying a scalable RAG solution using KAITO RAGEngine on AKS, streamlining integration of knowledge sources and LLMs.

📌 This session is a part of a series. (Learn more here)[https://developer.microsoft.com/en-us/reactor/series/S-1528/?wt.mc_id=meetup_S-1528_webpage_reactor]