Enterprise AI faces trust crisis: context gaps plague agents despite retrieval advances

A survey of 101 enterprises found that while retrieval-augmented generation (RAG) has become the standard way to feed business context to AI agents, most organizations have already experienced their agents producing confident but incorrect answers due to missing or inconsistent context. Provider-native retrieval tools have quietly overtaken dedicated vector databases, yet the majority of enterprises remain in the process of building a governed semantic layer to solve the problem.