{
  "id": 11009,
  "url": "https://venturebeat.com/ai/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix",
  "title": "The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix",
  "summary": "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 fi",
  "authors": null,
  "category": "news",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T17:06:08.000Z",
  "fetched_at": "2026-07-17T05:10:53.887Z",
  "source_slug": "venturebeat-ai",
  "source_name": "VentureBeat",
  "source_homepage": "https://venturebeat.com",
  "ethics_ai_record_url": "https://ethics.ai/record/11009",
  "original_url": "https://venturebeat.com/ai/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}