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

AI for Database returns answers as tables, charts, or plain-language summaries–you get the takeaway, not just the rows, with the underlying SQL available to verify.
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Fig — every answer ships with the tables, rows and SQL behind it.

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