As businesses increasingly lean on generative AI to innovate customer experience and streamline operations, they encounter a critical challenge: the limitations of foundation models (FMs). These models often fall short in delivering accuracy and relevance, primarily due to insufficient or narrow training data. This is where retrieval-augmented generation (RAG) can step in, offering a promising solution. Our latest report delves into RAG’s potential to revolutionize enterprise AI a...
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