Abstract: Text-to-SQL has emerged as a fundamental task for enabling natural language interfaces to relational databases, playing a critical role in data analytics, business intelligence, and end-user ...
Ask a general-purpose LLM to write a dbt model and it will happily invent plausible tables, columns, and joins. The SQL may look right. It may even compile. But it is not connected to the warehouse ...
The built-in mock provider is deterministic and offline (different personas have different skill), so the platform, demo, and CI run with no API keys. Example: === llm-lab: ran suite 'general-qa' ...
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