Closing the Loop: Executing LLM-Generated SQL and Presenting Results
Towards AI
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Generative AI
Part 3 of the SQL Query Generator Series - From Validated Query to Real Data *Previously in this series: In Part 1, we built a schema-aware LLM pipeline that turns a plain English question into a T-SQL query. In Part 2, we added a `SQLValidator` that parses the query tree and blocks dangerous operations before anything touches the database. Today, we close the loop: we take that validated SQL and actually run it.* A query sitting in a string variable is just text. It only becomes useful the moment it touches your database and returns rows a human can read.