Grounding with Google Search
Use Google search to improve the accuracy of AI models and the freshness of information
Product Details
The Gemini API and Google AI Studio now offer Grounding capabilities combined with Google Search, allowing developers to get more accurate and updated responses powered by Google Search-assisted Gemini models. Not only does this feature provide more accurate responses, it also returns supporting links and search suggestions to guide users to search results that correspond to the response. The application of this technology can reduce the fictitious information of AI applications, provide the latest information, enhance the credibility of AI applications, and increase the traffic of the publisher's website by providing supporting links.
Main Features
How to Use
Target Users
The target audience is developers and users of AI applications. For developers, the Grounding function provided by Gemini API and Google AI Studio can help them build more accurate and reliable AI applications. For users of AI applications, this technology can provide higher quality information and a better user experience.
Examples
- In Google AI Studio, compare model response differences between models without and with Grounding enabled.
- Using the Gemini 1.5 Flash model, providing richer responses with supported links via the Grounding feature.
- Developers can use the dynamic retrieval function to decide whether to ground a specific query based on the prediction score to optimize costs.
Quick Access
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