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RAG and generative AI - Azure AI Search | Microsoft Learn

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Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. In-depth articles on Microsoft developer tools and technologies Personalized learning paths and courses Globally recognized, industry-endorsed credentials Technical questions and answers moderated by Microsoft Code sample library for Microsoft developer tools and technologies Interactive, curated guidance and recommendations Thousands of hours of original programming from Microsoft experts Microsoft Learn for Organizations Access curated resources to upskill your team and close skills gaps. Microsoft Learn for Organizations Access curated resources to upskill your team and close skills gaps. Microsoft Learn for Organizations Access curated resources to upskill your team and close skills gaps. Microsoft Learn for Organizations Access curated resources to upskill your team and close skills gaps. Retrieval Augmented Generation (RAG) is an architecture that augments the capabilities

RAG and Generative AI - Azure AI Search | Microsoft Learn Table of contents Exit editor mode Ask Learn Ask Learn Reading mode Table of contents Read in English Add Add to plan Edit Copy Markdown Print Note Access to this page requires authorization. You can try signing in or changing directories . Access to this page requires authorization. You can try changing directories . Retrieval-augmented generation (RAG) in Azure AI Search Feedback Summarize this article for me Retrieval-augmented generation (RAG) is a pattern that extends LLM capabilities by grounding responses in your proprietary cont

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