The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...
KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...
Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...
I've recently found out about the generate_sql_schema method that is implemented in this repository. I suppose that the mentioned method is used to generate schema.sql files which are present across ...
I've noticed that enums aren't separated by newlines when there are multiple enums in a schema.sql file. Should we perhaps adjust the generate_sql_schema source code so that it'd split enums with ...
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