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Infoveave Help

Lists

Documentation

Documentation In this section, you can find the Description of the list. Users have the ability to edit the description manually or use the AI feature to generate a more detailed description based on the provided information. This AI-assisted feature analyzes the existing data to create a more comprehensive and relevant description.

Infoboard Edit documentation In the Documentation section of the list, you can edit the existing information to keep it updated or enrich it with additional context. This functionality allows users to refine and modify the descriptions of each list, providing a clearer understanding of the data’s purpose, structure, and usage.

List Information

List Information

The List Information section provides an in-depth overview of the lists associated with specific data sources, offering essential details for efficient data management and integration. The section includes the following key components:

  1. List Name This refers to the specific name of the list, such as “BatchJobList,” linked to a corresponding data source like “BatchJobs.”
  2. Datasources Displays the relevant data source associated with the list, providing insight into the source of the data.
  3. Table The name of the table, such as “List_BatchJobList,” used for querying and retrieving the data.
  4. Query Displays the SQL query used to fetch data, such as SELECT * FROM [batchjobs] LIMIT 10000, outlining how the data is extracted.

Additionally, each list is detailed with the following attributes

  • Column Name The name of each column within the list, such as batchJobRecId or runtimeJob.
  • Name The corresponding field name used in the system, such as batchJobRecId or jobDescription.
  • Type Specifies the data type of each column, including Integer, String, and Date.
  • Display Indicates whether the column will be visible in the user interface (Yes/No).
  • Searchable Indicates whether the column is searchable, allowing users to filter data efficiently (Yes/No).

This section provides users with a structured view of the list’s data, helping ensure proper integration with workflows and enabling users to make informed decisions based on accurate metadata.

Documents

In the Documents section, users can upload relevant files that assist in creating a more accurate description of the lists using AI. These documents provide context and enrich the AI’s understanding, helping it generate better descriptions. This is particularly useful for data that requires detailed, nuanced explanations.