Glossary · Analytics
Query Result Summarization
Query result summarization is the use of AI to turn raw query output–rows and numbers–into a short plain-language explanation of what the data shows.
A query returns 400 rows; the decision-maker needs one paragraph. Result summarization bridges that gap: the AI reads the output and reports the substance–"revenue grew 12% month over month, driven almost entirely by the Pro plan; Enterprise was flat"–instead of leaving you to scan a grid. This matters because the bottleneck in analytics is rarely getting data out; it is interpretation. Good summarization also flags what a human skims past: the outlier row, the suspicious null cluster, the category that quietly went to zero.
In practice
How AI for Database applies it
Fig — every answer ships with the tables, rows and SQL behind it.
See it on your own database
Connect read-only in minutes. Free models included.