Grounding with Google Search in the Firebase AI Logic client SDKs
Blog post from Firebase
Firebase AI Logic client-side SDKs now support Grounding with Google Search, enabling Gemini models to retrieve current web information before generating responses and addressing the limitations of LLM knowledge cutoffs. The feature can support applications requiring timely data, including customer support tools, news-aware content generation, financial analysis, and travel or event planning. Developers can enable Google Search as a model tool after upgrading to specified Android, Flutter, iOS, Web, or Unity SDK versions, and responses include grounding metadata such as search queries, source links, and evidence supporting response segments. Applications using the feature are required to display Google Search suggestions in their user interfaces, while additional implementation and pricing information is available in Firebase AI Logic documentation.
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