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AI / Mobile

The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Source: ventureBeat July 23, 2026 · 10:03
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix
Photo by Gustavo Fring · Pexels
From the publisher
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category — yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context. A governed semantic layer is emerging as the fix, but most are still building it; the field is converging on hybrid retrieval; and even as provider-native tools lead in practice, a plurality say they intend to keep best-of-breed. The result is a context gap — agents that sound authoritative running on a foundation their owners do not yet fully t…
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