Text-to-SQL Accuracy Isn't a Model Problem. It's a Schema Problem.
This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.
TLDR: dbt Labs ran the same eleven questions four different ways and found that modelling the schema — with no semantic layer involved at all — moved text-to-SQL accuracy from 64.5% to 90.0%. Adding a semantic layer on top of that modelled schema moved it a further 8 points. Snowflake, using a sema…
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- 2026-09-16 08:10 · DEV Community — AI
Text-to-SQL Accuracy Isn't a Model Problem. It's a Schema Problem.