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Google patents system that turns text prompts into map data queries

Patent drawing
Patent drawing from the official filing.

This filing describes a system that uses large language models to break down a user's text request into specific steps for finding map data. It automatically selects the right databases and writes the code needed to pull the information, such as locations or boundaries, without the user needing to know how to write database queries.

Why it mattersThis could make it much easier for regular people or businesses to ask questions about geographic data, like finding the best location for a new store, without needing a specialized data analyst.

In the filing’s own words

Implementations are described herein for automatically generating multimodal geospatial workflows for accomplishing geospatial tasks. In various implementations, a natural language request may be processed based on generative model(s) such as LLM(s) to generate workflow output tokens that identify high-level actions for completing a geospatial task conveyed in the natural language request. First data indicative of the high-level actions may be processed using one or more of the generative models to generate dataset output tokens that identify responsive dataset(s) that likely contain data responsive to the geospatial task. Second data indicative of both the high-level actions and the responsive dataset(s) may be processed based on one or more of the generative models to generate data manipulation output tokens that identify data manipulation instructions for assembling data from the responsive dataset(s) into a response that fulfills the geospatial task.

What exactly they claim (claim 1)

1. A method implemented using one or more processors and comprising: processing a natural language request based on one or more generative models to generate workflow output tokens that identify high-level actions for completing a geospatial task conveyed in the natural language request; processing first data indicative of the high-level actions for completing the geospatial task and metadata associated with a plurality of candidate datasets based on one or more generative models to identify one or more responsive datasets for fulfilling the geospatial task; processing second data indicative of the one or more responsive datasets and the high-level actions based on one or more generative models to generate structured query language (SQL) instructions configured to extract geospatial data from the one or more responsive datasets; causing the SQL instructions to be executed against the one or more responsive datasets to generate a response that fulfills the geospatial task; and causing the response or data derived from the response to be rendered at a computing device.

Facts

Company
Google (X Development LLC)
Official title
GENERATION AND IMPLEMENTATION OF GEOSPATIAL WORKFLOWS
Publication number
US20260320104A1
Application number
19694289
Filed
Jun 1, 2026
Published
Oct 15, 2026
Inventors
6
Claims
20

Classified under

G06F 16/387 Physics & computingG06F 40/284 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.