Does iDBQuery hallucinate or make up data?
No — iDBQuery does not invent numbers the way a general chatbot can. Every figure comes from real SQL run against your actual data, and each result is cited back to the exact source rows, so you can trace any number rather than trusting a black box.
The word 'hallucination' describes an AI confidently stating something that is not true. It is a real risk when a chatbot generates prose from memory. iDBQuery is architected to avoid it because it never invents the numbers.
- Answers come from your data, not the model's memory. iDBQuery translates your question into SQL and runs it against your live sources. The figures are computed, not guessed.
- Every figure is cited. Each number links back to the exact source rows behind it, so a fabricated value has nowhere to hide.
- The SQL is shown. You can read the query that produced the answer and confirm the logic.
- It self-checks. The Analyst agent can verify its own work and flag when a question is ambiguous or unanswerable rather than bluffing.
Where a general chatbot might 'remember' a revenue figure and state it plainly, iDBQuery instead runs `SELECT SUM(...)` against your database and shows you the rows. If it cannot answer reliably, it tells you rather than making something up. So the trust model is not 'believe the AI' — it is 'check the citation'. That is the core difference between iDBQuery and a chatbot pointed at your data.
Updated 2026-06-22