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Revolutionize your AI-powered apps with Retrieval-Augmented Generation (RAG)
In today’s rapidly evolving AI landscape, Retrieval-Augmented Generation (RAG) is a game-changer for building smarter, more context-aware applications. By combining the generative power of large language models (LLMs) with precise retrieval mechanisms, RAG enables applications to access and use the most relevant data in real-time. This article explores how to develop a RAG application using Azure AI Studio, Microsoft’s robust platform for building and managing AI-driven solutions.