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Across 101 enterprises, retrieval-augmented generation is the default context source for AI agents, with provider-native retrieval overtaking dedicated vector databases. A majority of enterprises have seen agents produce confident wrong answers from missing or inconsistent context. A governed semantic layer is emerging as the fix, but most are still building it.
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