Gen AI Leader Techniques to improve gen AI model output MEDIUM
PRODUCTION SCENARIO
A travel assistant must answer questions about airport disruption notices that airports post openly to their own sites within the hour. The company's own document store does not hold them.

Which grounding offering fits?

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Answer: Grounding with Google Search, which draws on current public web results

Grounding with Google Search connects the model to world knowledge through Google's search engine, which is the route to notices published on the open web minutes ago. Agent Search grounds in the company's own store, and the stem says the notices are not there; Maps grounding adds geospatial context rather than published notices; and a nightly export is a day behind and covers schedules rather than disruptions.
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