Sync & AI generator

Development Mode catalog is a feature available to Admin and Developer users.

While in Development mode, you can edit your dbt™️ docs directly from the Catalog UI. Paradime will create sync back changes from the UI back to your dbt™️ project after each edit and auto-commit the changes.

You will only need to push your branch and open a Pull requests to bring updated descriptions in Production. See also:

pageDevelopment Mode & Production Mode

AI auto-doc and dbt™️ assets description

Paradime AI is powered by OpenAI. It does not use ChatGPT but uses the same underlying AI models. Only the dbt™️ sql code is used to generate descriptions.

Paradime AI docs generative feature allows to generated descriptions on the fly for your dbt™️ assets with one simple click. By clicking on the Autogenerate button, parsing your dbt™️ code, Paradime AI will produce a Business summary and a Technical summary. If you have already some description and you want to update it, simply click on the Edit button, update your description and click on the Save button to commit your changes.

Having a dbt™️ model name already defined in a .yml it is not a prerequisite for your to add new description. Paradime will take care of, creating / updating your .yml definitions. And if a .yml file does not exist yet, we will create on for you in the same directory where the dbt™️ .sql file lives.

Manage dbt™️ assets Classifications

Using the Paradime Development Mode Catalog, from the UI you can add Classifications to your dbt™️ models. Paradime Classification definitions are written in your .yml file using the meta properties.

version: 2

  - name: users
      owner: "@fabio"
      contains_pii: true

To add model Classifications, click on the Edit button in the classification card and select either an existing label available in your dbt™️ project or create a new one. Add your value and press the Save button.

Document dbt™️ models columns

Using Paradime Development Catalog you can also edit/add description and classification at a column level. Simply navigate to the columns tab and click on the Edit button to start documenting your columns.

When ready just press the Save button to commit all you changes back to the respective dbt™️ .yml file.

Having columns already defined in your dbt™️ .yml file it is not a prerequisite. If a column is not yet defined, we will take care of defining it in the file

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