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Developing a Multimodal RAG Solution
In this hands-on lab, you will build and automate a Retrieval-Augmented Generation (RAG) solution, working with real-world data to create smarter, more context-aware applications.
Designed for developers, data professionals, and AI practitioners, this lab enables you to integrate AI models with enterprise data using techniques like text embeddings and generative reasoning. With this experience, you will be prepared to build intelligent systems that enhance search, streamline decision-making, and solve business problems more effectively. By the end of this lab, you will have the skills to design AI-powered solutions that combine relevance with real-time insights.
Places are limited and managed by the Microsoft Azure team. All participants must register individually, you will receive an email confirmation once your registration has been approved.
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