Glossary · AI & ML

Grounded Answers

Grounded answers are AI responses that are backed by verifiable source data–in database tools, answers computed by running a real query against your actual database rather than generated from the model's memory.

An ungrounded AI answer is a guess dressed as a fact: ask a chatbot "what was our churn last month?" and it will invent a plausible number, because it has no access to your data. A grounded answer is different in kind–the AI writes a query, the database executes it, and the number in the response is the number the database returned. Grounding matters because business decisions ride on these numbers; "plausible" is not a standard you can take to a board meeting. The test for grounding is auditability: can you see the query that produced the answer and run it yourself?

In practice

How AI for Database applies it

Every answer from AI for Database is grounded: it comes from a real SQL query executed against your live database, and you can view that query at any time.
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Fig — every answer ships with the tables, rows and SQL behind it.

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