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

A survey of 101 enterprises reveals that businesses are prioritizing the development of AI infrastructure over the reliability of the data feeding their models. While companies are rapidly adopting retrieval-augmented generation to provide context, they are shifting toward provider-native tools rather than dedicated vector databases. This trend highlights a growing trust gap, as organizations struggle to ensure that the information informing their AI agents remains accurate and dependable for enterprise use.