Azure AI Engineer Associate: Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) refers to the architecture where an LLM is paired with a real-time retrieval system. Azure AI and AI Foundry have solid support for RAG, relying heavily on the Azure OpenAI and Azure AI Search services.In this course, learn how RAG systems work and the importance of embeddings. Next, examine the key Azure AI services needed for a RAG system and how to use RAG to enhance AI model responses. Finally, discover how to set up an Azure AI search index, build a data retrieval vector database and search index, and implement a RAG solution for information retrieval.This course is part of a collection that prepares learners for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam.