Grooper Help - Version 25.0
25.0.0017 2,127
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AI Generated

Schema Importer Grooper.GPT

Uses AI to generate and import Grooper data elements based on natural language instructions, enabling rapid creation of data models from user intent.

Remarks

The AI Generated schema importer leverages a Large Language Model (LLM) to interpret user-provided instructions and generate a set of Data Elements for import into a Data Field Container. This approach allows users to describe the desired data structure in plain language, and have the system automatically create the corresponding fields, sections, and tables.

Purpose

This importer is designed for users who want to quickly create Grooper data models without manually defining each field or section. It is especially useful for prototyping, rapid solution development, or when the schema is not already defined in a structured source.

How It Works

  • Enter a description of the data elements you want to create in the 'Instructions' property (e.g., "Create fields for a standard business invoice").
  • When executed, the importer sends these instructions to the configured LLM connector (such as OpenAI).
  • The LLM interprets the instructions and returns a schema in JSON format.
  • The importer parses the schema and generates the appropriate Data Fields, Data Sections, and Data Tables in the selected Data Field Container.

Configuration Guidance

  • Ensure an LLM Connector is configured in your Grooper environment.
  • Provide clear, concise instructions in the 'Instructions' property to guide the AI in generating the desired schema.
  • Review and adjust the generated data elements as needed after import.

Usage Notes

  • AI Generated is ideal for initial data model creation, rapid prototyping, or when working from unstructured requirements.
  • The quality and accuracy of the generated schema depend on the clarity of the provided instructions.
  • After import, you can further refine, validate, or extend the generated data elements using standard Grooper tools.
  • For more information, see Schema Importer, Data Field Container, and LLM Connector documentation.

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