RESEARCH · GLOBAL
GROUND framework reduces LLM hallucinations in data warehouse analytics
GROUND uses governed semantic definitions to ground LLM-generated SQL queries on enterprise data warehouses. It tackles hallucinated metrics, invalid table joins, wrong data grain, and unsafe access—core risks blocking production text-to-SQL deployments.
WHY IT MATTERS
Banks and insurers using LLM-based BI tools face audit and model-risk exposure if queries hallucinate joins or metrics. Semantic governance unlocks safe, explainable NL analytics at scale—table-stakes for regulated analytics.
Source: arXiv · 2026-08-29