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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

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