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Semantic Context vs. Relationship Context in Enterprise Text-to-SQL
Semantic layers define business meaning, but enterprise Text-to-SQL also needs relationship context to choose trusted tables, joins, and SQL paths.
Arisyn
Jul 1, 2024
Why Enterprise Text-to-SQL Fails After the Demo
Most Text-to-SQL demos look impressive, but real enterprise data is fragmented, inconsistent, and full of hidden relationships. This article explains why reliable AI analytics needs semantic context, metadata, data relationship discovery, and SQL validation.
Arisyn
Jun 10, 2024
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