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AI Query Assistant

AI Query Assistant

Open the Query Console chat panel with the chat icon and describe the data or operation you need in natural language. The assistant uses database-schema context to propose SQL.

  1. Ask for the tables, filters, joins, aggregation, or ordering you need.
  2. Review the suggested SQL.
  3. Insert it into the editor, revise it if necessary, and execute only after validating it.

The assistant retains conversation context for follow-up refinement. When an SQL or stored-procedure action fails, use Explain in the error notification to send the error to chat for analysis.

Be specific about table names, required columns, filters, and expected results.

Generate and refine SQL through schema-aware natural-language chat.

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