SYSTEMS AND METHODS FOR RETRIEVING TELEMATICS DATA

    公开(公告)号:US20250021547A1

    公开(公告)日:2025-01-16

    申请号:US18767261

    申请日:2024-07-09

    Applicant: Geotab Inc.

    Abstract: The present disclosure relates to systems and methods for retrieving telematics data as well as for training machine learning models. A method for retrieving telematics data may comprise operating at least one processor to: provide a plurality of databases, each database storing at least telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; receive a natural language request from a user, the natural language request comprising at least one textual question relating to the telematics data stored within one of the plurality of databases; generate, using a large language model (LLM) that does not have access to the plurality of databases, an executable query for retrieving a portion of the telematics data that is responsive to the natural language request from the database by inputting into the LLM at least: a contextual prompt, the contextual prompt providing to the LLM at least one or more features of the database, an expected structure of the executable query, and one or more example natural language requests and corresponding executable query outputs, and the natural language request; execute the executable query for retrieving the portion of the telematics data from the database; and return at least the portion of the telematics data to the user, whereby the natural language request is responded to without providing the LLM with access to the telematics data stored on the plurality of databases.

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