AI Value Mapping

Contents

  1. What is AI Value Mapping?

  2. Getting Started

What is AI Value Mapping?

AI Value Mapping allows you to map end-user data into categories with your organizationโ€™s internal representation (commonly known as enumerations โ€œenumsโ€). Leveraging advanced Large Language Models (LLMs), this QuickFix automatically maps source data to its nearest semantic match in the destination schema. This saves your data operations teams hours of manual work while dynamically adapting to evolving source data without requiring updates to formulas or webhooks.

Value Mapping can be used throughout Osmos in both Uploaders and Pipelines. It is most commonly used with an Uploader where end users map enumerations ("enums"). Enums are integrated as part of the Uploader Validation. Users map a group of constants to a specific valid option. The list of valid options is configured in your validation and the mapping occurs in the Value Mapping QuickFix.

Getting Started

There are two primary types of configurations.

  1. Create a Dataset Table to hold your list of valid options. Then, set up a foreign key column in your Dataset Table. This configuration can be used for Pipelines and Uploaders.

  2. Create a dropdown-controlled field that contains your list of valid options in the code snippet for your embedded Uploader. Here is a link to this configuration.

Last updated