Today we’re launching the Google Maps tool in the Gemini API, allowing developers to ground their applications in Maps data. This allows developers to connect Gemini’s reasoning capabilities with data from more than 250 million places, allowing a new class of powerful, geospatial-aware AI products. Just like Grounding with Google Search, Grounding with Google Maps provides rich, up-to-date data to the model for any query where location information is helpful. (View Highlight)
Today we’re launching the Google Maps tool in the Gemini API, allowing developers to ground their applications in Maps data. This allows developers to connect Gemini’s reasoning capabilities with data from more than 250 million places, allowing a new class of powerful, geospatial-aware AI products. Just like Grounding with Google Search, Grounding with Google Maps provides rich, up-to-date data to the model for any query where location information is helpful. (View Highlight)
To make it easier to visualize grounded Maps results, you can also use the returned context token to retrieve an interactive widget that you may optionally render in your application UI, giving users a familiar experience complete with relevant photos, reviews and other details. (View Highlight)
To make it easier to visualize grounded Maps results, you can also use the returned context token to retrieve an interactive widget that you may optionally render in your application UI, giving users a familiar experience complete with relevant photos, reviews and other details. (View Highlight)
Developers can use Grounding with Google Maps to create more intuitive and helpful experiences across travel, real estate, retail and logistics. The model automatically detects when a query has geographical context and uses Google Maps data to provide a grounded response. Google Maps uses data from places, and other related content like user reviews, as sources to help generate the response. You can provide latitude and longitude coordinates to localize search results to specific geographic locations. (View Highlight)
Developers can use Grounding with Google Maps to create more intuitive and helpful experiences across travel, real estate, retail and logistics. The model automatically detects when a query has geographical context and uses Google Maps data to provide a grounded response. Google Maps uses data from places, and other related content like user reviews, as sources to help generate the response. You can provide latitude and longitude coordinates to localize search results to specific geographic locations. (View Highlight)
Developers can use Grounding with Google Maps to create more intuitive and helpful experiences across travel, real estate, retail and logistics. The model automatically detects when a query has geographical context and uses Google Maps data to provide a grounded response. Google Maps uses data from places, and other related content like user reviews, as sources to help generate the response. You can provide latitude and longitude coordinates to localize search results to specific geographic locations. (View Highlight)
Developers can use Grounding with Google Maps to create more intuitive and helpful experiences across travel, real estate, retail and logistics. The model automatically detects when a query has geographical context and uses Google Maps data to provide a grounded response. Google Maps uses data from places, and other related content like user reviews, as sources to help generate the response. You can provide latitude and longitude coordinates to localize search results to specific geographic locations. (View Highlight)
Hyper-local personalized recommendations: Offer tailored recommendations based on your user’s preferences and the location you designate. A real estate app could help a family find rental listings in kid-friendly neighborhoods by identifying nearby playgrounds, schools and parks. (View Highlight)
Hyper-local personalized recommendations: Offer tailored recommendations based on your user’s preferences and the location you designate. A real estate app could help a family find rental listings in kid-friendly neighborhoods by identifying nearby playgrounds, schools and parks. (View Highlight)
For example, when asked about “live music on Beale Street”, combining tools allows the model to use Maps data for a venue’s operating hours and Search data to find the specific start times for evening shows. Internal evaluations show that using both tools together results in a significant improvement in response quality compared to using either alone. (View Highlight)
For example, when asked about “live music on Beale Street”, combining tools allows the model to use Maps data for a venue’s operating hours and Search data to find the specific start times for evening shows. Internal evaluations show that using both tools together results in a significant improvement in response quality compared to using either alone. (View Highlight)
For the most powerful and contextually aware applications, you can enable both Grounding with Google Maps and Grounding with Google Search in the same request.
• Google Maps provides grounding with structured, factual data like addresses, hours and user ratings. (View Highlight)
