Patents by Inventor Jake Brooks

Jake Brooks has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250363154
    Abstract: A method comprises obtaining a prompt indicating that when a user query satisfies a set of criteria, the user query is to be translated into a set of graph queries in a graph query language; receiving a specific user query in natural language indicating access to an ontology and satisfying the set of criteria, data of the ontology being stored in one or more databases, including a graph database; incorporating the specific user query into the prompt to obtain an extended prompt; executing, with the extended prompt, a first large language model; obtaining, from the executing, a set of database queries including one or more graph queries in the graph query language to access the ontology; submitting the set of database queries to a set of databases to obtain a database query result; transmitting the database query result in response to the specific user query.
    Type: Application
    Filed: August 7, 2025
    Publication date: November 27, 2025
    Inventors: Samuel Zhao, Sumedh Nikhil Shah, Donn Green, Alexander Morgan, Joshua Eimer, Maya Choudhury, Raj Narayan, Sidney Packer, Amrit Krishnan, Jake Brooks
  • Publication number: 20250278421
    Abstract: A system is programmed to train or fine-tune a large language model (LLM) for converting a user query in natural language to database queries for accessing a set of databases where data related to an ontology is stored. The set of databases includes a graph database and stores metadata and actual data of the ontology. The system is further programed to receive a specific user query exploring links between objects in the ontology and leads to updates to the ontology. The system is programmed to then execute the LLM to obtain a set of database queries, including one or more graph queries. Furthermore, the system is programmed to submit the set of databased queries to the set of databases, which implements the updates to the ontology. The system is then programmed to receive data query results and transmit them in response to the specific user query.
    Type: Application
    Filed: March 27, 2024
    Publication date: September 4, 2025
    Inventors: SAMUEL ZHAO, SUMEDH NIKHIL SHAH, DONN GREEN, ALEXANDER MORGAN, JOSHUA EIMER, MAYA CHOUDHURY, RAJ NARAYAN, SIDNEY PACKER, AMRIT KRISHNAN, JAKE BROOKS
  • Patent number: 12405983
    Abstract: A system is programmed to train or fine-tune a large language model (LLM) for converting a user query in natural language to database queries for accessing a set of databases where data related to an ontology is stored. The set of databases includes a graph database and stores metadata and actual data of the ontology. The system is further programed to receive a specific user query exploring links between objects in the ontology and leads to updates to the ontology. The system is programmed to then execute the LLM to obtain a set of database queries, including one or more graph queries. Furthermore, the system is programmed to submit the set of databased queries to the set of databases, which implements the updates to the ontology. The system is then programmed to receive data query results and transmit them in response to the specific user query.
    Type: Grant
    Filed: March 27, 2024
    Date of Patent: September 2, 2025
    Assignee: Palantir Technologies Inc.
    Inventors: Samuel Zhao, Sumedh Nikhil Shah, Donn Green, Alexander Morgan, Joshua Eimer, Maya Choudhury, Raj Narayan, Sidney Packer, Amrit Krishnan, Jake Brooks