/

Grounding

GLOSSARY

AI & automation

Grounding

Grounding

Grounding

THE SHORT VERSION

Grounding connects an AI model’s response to information sources that can be checked, such as approved documents or retrieved data.

Grounding connects an AI model’s response to information sources that can be checked, such as approved documents or retrieved data.

Grounding connects generated responses to verifiable information sources. It gives the model access to specific material and can provide links that help a reader check the answer. Google describes grounding as reducing the chance of invented content, rather than removing that risk entirely. Source: Google Cloud: Grounding overview

Check the evidence behind the answer

Ask a travel assistant a question about an approved hotel description. Open the cited source and compare it with the full answer, including small details such as meal plans or facilities. This checks whether the evidence actually supports what the traveller would read.

Include missing and conflicting information

Test a question the approved material cannot answer and another where two documents disagree. Agree how the system should explain the gap or request help. These cases let you review its behaviour beyond straightforward questions with an obvious source.

Written and updated by Travelgenix. Sources checked on 19 October 2026. Practical advice and examples are Travelgenix editorial guidance.

Sources

The official pages behind this explanation. This is general information, not legal advice, and rules change, so check the latest version.