Hallucinations happen when a model produces a convincing but false answer. Grounded answers cut that risk by tying every claim to verifiable data.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
The risks that surface during internal review and the move to production: accuracy of answers, security and how customer data is handled.
What it is
Hallucinations happen when a model produces a convincing but false answer. Grounded answers cut that risk by tying every claim to verifiable data.
Example in ecommerce
In eCommerce this matters most for specs, compatibility, stock and product restrictions.
Business impact
Cuts the rate of wrong recommendations, returns and lost trust in the AI assistant.
A fit for terms about search by meaning, the architecture behind the results and product discovery.
Shows how AI terms turn into a real decision flow inside the product page.
Collects the product scenarios in one place and is the starting point for a demo.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.