Google patents browser that remembers your web sessions for faster search
This filing describes a web browser that automatically saves data from your browsing sessions into a special database called a vector store. When you ask a question, the browser uses this saved data and machine-learned models to find relevant information from your recent activity without needing to search the entire internet again.
In the filing’s own words
A web browsing application can implement a vector database to store session data. A web browsing application can automatically embed loaded web content into an embedded data store that maintains session data for a number of web sessions. A user can query the web browser using simple instructions. The web browser can interpret the instructions and use the embedded data store to quickly search across multiple modalities of embedded data to retrieve relevant results. The web browser can use machine-learned models to answer queries or perform other tasks by performing vector-based queries over the content of visited web data.
What exactly they claim (claim 1)
1. A computer-implemented method, the method comprising: receiving input data describing a user interaction associated with a browser application operating on a user computing device; determining, using a vector database representing session data associated with the browser application, session data descriptive of at least one of: a web browsing history, or a current state of the browser application; constructing, using the session data, an input sequence that is configured for input to a machine-learned sequence processing model to perform a task associated with the input data; obtaining a response sequence generated by processing the input sequence using the machine-learned sequence processing model; and parsing the response sequence to generate output data for rendering a response within the browser application or modifying a state of the browser application.
Facts
- Company
- Google (Google LLC)
- Official title
- Web Browser with Integrated Vector Database
- Publication number
- US20260300422A1
- Application number
- 19705695
- Filed
- Jun 11, 2026
- Published
- Oct 1, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06F 16/9538 Physics & computingG06F 16/2237 Physics & computingG06F 16/9535 Physics & computingMore from Google in AI & software
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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.