genie-metadata-optimizer

To optimize Genie Space metadata, analyze recent evaluation failures to identify root causes, then generate targeted patch proposals to refine UC table descriptions, column descriptions, and metric views for better AI insights.

Genie may fail to identify the correct UC table when metadata lacks sufficient business context. Adding a business definition or synonyms to the relevant table metadata guides the AI more effectively toward the correct data source.

The best way to fix Genie evaluation failures is applying ASI-grounded introspection or GEPA to analyze the failures and generate specific metadata change proposals for affected UC tables, metric views, and TVF parameters.

Yes, you can use ASI-grounded introspection (L1) or GEPA (L2) to analyze Genie evaluation failures and generate targeted patch proposals that specifically improve TVF parameters and metric view definitions within your semantic layer.

You can refine UC table descriptions, column descriptions, metric view definitions, and TVF parameters. Adding business definitions and synonyms to metadata helps guide Genie more effectively when generating AI data insights.