Unleashing the Power of RAG in Copilot Studio: Applications and Best Practices

In the rapidly evolving landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a game-changing approach that combines the strengths of retrieval-based systems and generative models to produce more accurate and contextually relevant outputs. With its advanced AI capabilities, Copilot Studio provides an ideal environment to leverage RAG for a wide range of applications.

Join Rick for an in-depth exploration of RAG within Copilot Studio, where we will uncover the various options available for implementing this powerful technique and discuss the contexts in which each option shines.

 

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