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Enabling AI on Data

Datasets and data models that need to be made available for AI analysis need to have AI enabled on them and descriptions added to their fields so that the large language models (LLMs) understand the meaning of data accurately. This improves query accuracy and analysis efficiency. Through modeling, users can add descriptions, aliases, and enumeration values, allowing AI to better handle business scenarios during chat analysis.

Enable AI conversation analysis

To allow AI to understand the dataset content:

  1. Open the dataset or model.

  2. Navigate to the AI Settings page.

  3. Set For AI conversation analysis to True.


    AI concersation analysis


    In the portal’s Datasets or Data Models page, datasets/models available for AI chat analysis will display √ in the For AI conversation analysis column. If √ it is not displayed, the dataset/model cannot be used for AI chat analysis.


    Support Chat Analysis Indicator

Dataset

Add Description to Dataset

  • Provide an overall description of the dataset, including:

    • Business scenario.

    • Term definitions.

    • Business rules help the LLM associate understand context.


      Dataset Description

Add Aliases to Fields

  • For similar field names (e.g., RequiredDate and ShippedDate), add aliases:

    • RequiredDate → RequiredDeliveryDate.

    • ShippedDate → ActualShippedDateThis reduces ambiguity and improves query precision.


      Add Aliases to Fields to the Dataset

Add Field Descriptions and Enumeration Values to Fields

  • Add detailed descriptions for each field.

  • Define possible enumeration values (e.g., Active/Inactive for a status field) to assist AI in precise matching.


    Entity Field Details

Data Model

image

Add Description to Data Model

  • Provide an overall description of the data model, outlining:

    • Structure.

    • Business purpose.

Add Description to Entity

  • Add specific descriptions for each entity, explaining:

    • Its role.

    • Relationships in the model.

Add Field Descriptions and Enumeration Values to Fields

  • Add detailed descriptions for entity fields.

  • Define enumeration values to enhance semantic understanding and query accuracy.