RAG, Semantic Kernel

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This presentation explores Retrieval-Augmented Generation (RAG), an AI methodology that combines retrieval strategies with generative models to enhance knowledge-based tasks. It delves into RAG components, workflows, and integration, highlighting its roles in advanced question-answering systems, summarization, and industry applications. Key benefits like improved data accuracy, scalability, and efficiency are discussed, providing valuable insights for leveraging RAG in real-world scenarios.