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Research

EY Re-envisions RAG Around Multimodal Knowledge Graphs to Improve Accuracy

Summary

  • Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research from EY, the business name of Ernst & Young LLP, says most implementations overlook a lot of useful data.

Why It Matters

Most conventional RAG systems overlook valuable multimodal data, which could lead to suboptimal model performance and accuracy in enterprise settings.

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