AI Agent · OpenAI · Google · VentureBeat AI
OpenAI file search and vertex AI search top the dedicated tools
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◌ Single Source
VentureBeat AI asked which retrieval systems enterprises run in production today.
Key facts
- Provider-native retrieval, OpenAI’s file search (40%) and Google’s Vertex AI Search (38%), already leads every dedicated vector database, and enterprises expect hybrid retrieval to dominate
- Responses are filtered to organizations with more than 100 employees (n=101); the survey drew no responses from organizations of 100 or fewer, so the full sample qualifies
- By organization size the sample concentrates in the mid-market: 251–1,000 employees (31%) and 101–250 (31%) lead, with 1,001–5,000 (20%), 5,001–10,000 (12%), and 10,001+ (7%) above them
- Technology/Software is the largest industry at 20%, followed by Healthcare/Life Sciences (11%) and a broad spread across retail, transportation, financial services, manufacturing, and education
Summary
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. This wave of VentureBeat Pulse Research examines the enterprise RAG and context layer: what feeds AI agents their business context, which retrieval systems enterprises run, how they buy and measure them, where the architecture is heading, and, most revealingly, how often that context is already failing them. The central finding is a context gap, the distance between how confidently enterprise agents answer and how reliable the context beneath them is. Underneath, the market is consolidating in a direction that surprises. VentureBeat fielded this survey as part of its ongoing Pulse Research series. Responses are filtered to organizations with more than 100 employees (n=101); the survey drew no responses from organizations of 100 or fewer, so the full sample qualifies.