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Nvidia patents tool that auto-summarizes data for AI agents

Nvidia describes a system that creates short summaries of large data sets to help AI agents understand what information is available. It works by sending a specific signal called a zero-vector to the data storage to pull out a sample of the data, then using a machine learning model to write a description of the whole collection based on that sample.

Why it mattersThis could make it easier for AI systems to find and use the right data without needing humans to manually write detailed descriptions for every file or database.

In the filing’s own words

Various examples, systems, and methods are disclosed relating to automated generation of data source descriptions for agentic workflows. A system can query a data collection with a zero-vector to retrieve a subset of data from the data collection. A system can generate, using a machine learning model, a summary of the data collection based at least on the subset of data.

What exactly they claim (claim 1)

1. A system comprising processing circuitry to: query a data collection with a zero-vector to retrieve a subset of data from the data collection; and generate, using a machine learning model, a summary of the data collection based at least on the subset of data.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
AUTOMATED GENERATION OF DATA SOURCE DESCRIPTIONS FOR AGENTIC WORKFLOWS
Publication number
US20260267897A1
Application number
19304737
Filed
Aug 20, 2025
Published
Sep 10, 2026
Inventors
2
Claims
20

Classified under

G06F 16/345 Physics & computingG06F 16/3347 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.