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.
In Depth
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?
How AI for Database Helps
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.
Related Terms
SQL Hallucination
SQL hallucination is when an AI model generates a query that looks correct but references tables or columns that do not exist, or encodes logic that does not match the question asked.
RAG
Retrieval-Augmented Generation—an AI technique that enhances LLM responses by retrieving relevant context from external data sources.
Query Validation
Query validation is the process of checking an AI-generated SQL query for correctness and safety—verifying it references real tables and columns, parses cleanly, and stays within allowed operations—before it runs.
Human-in-the-Loop Query Review
Human-in-the-loop query review is a workflow where a person can inspect, approve, or correct AI-generated SQL—keeping human judgment in the path between the AI's output and decisions made on it.
Ready to try AI for Database?
Query your database in plain English. No SQL required. Start free today.
Free plan available · No credit card required