EY re-envisions RAG around multimodal knowledge graphs to improve accuracy

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. Conventional RAG systems are built mainly to retrieve text. Enterprise documents, however, often place critical facts in charts, tables, […] The post EY re-envisions RAG around multimodal knowledge graphs to improve accuracy appeared first on SiliconANGLE .