To help you reduce manual work and enhance catalog completeness, DataGalaxy offers AI-powered description and summary autogeneration.
The feature supports both Data Stewards and Data Readers, allowing them to benefit from intelligent suggestions while maintaining control over catalog content.
Who does what?
| Role | AI's role | User's role |
|---|---|---|
| Data Steward | Generate contextual suggestions based on object neighborhood | Review, accept, edit, or reject the suggestion |
| Data Reader | Provide informative autogenerated content for better understanding | Consume suggestions and report inaccuracies |
How does autogeneration work?
The AI analyzes metadata from the object and its neighborhood (parents, children, linked objects) to determine if there's enough context to generate a meaningful, high-confidence description. If the required minimum context is met (at least one described object from two different link types), the system offers a suggestion.
We offer two options: automatic generation with manual approval, and automatic generation by batch per workspace.
Best practices for Data Stewards
Use the Autodescription button
- Look for the Autodescription button next to an attribute or object.
- Click it to generate a description or summary suggestion if enough context is available.
Review suggestions thoroughly
- AI-generated descriptions are visible for review.
- Evaluate accuracy, tone, and domain relevance before accepting.
Accept, edit, or reject thoughtfully
You can:
- Accept the suggestion as-is.
- Edit the suggestion after accepting it.
- Reject it if the description is not suitable.
Request alternative suggestions
Use the Autodescription menu to:
- Regenerate alternative versions.
- Report inaccurate suggestions to improve AI learning.
Update your catalog regularly
- When new links or metadata are added, previously unqualified objects may now qualify.
- Recheck the Autodescription feature after catalog updates.
Best practices for Data Readers
Encourage usage of AI descriptions by stewards
Autogenerated content helps fill gaps in the catalog and supports quicker object comprehension.
Report inaccurate descriptions
If something looks off:
- Use the Report option in the Autodescription menu.
- This feedback helps improve future suggestions for everyone.
What if no suggestion is generated?
If AI doesn't provide a description, it means the object doesn't have enough context (i.e., insufficient linked, described neighbors). Try enriching the catalog by:
- Adding more metadata.
- Describing related objects to unlock future autogeneration.
What to do and what to avoid
| Do | Don't |
|---|---|
| Use autogeneration to save time and fill description gaps | Accept suggestions without reviewing them |
| Regularly update object links and metadata for richer context | Assume AI can generate descriptions without context |
| Encourage Readers to report issues | Ignore inaccurate autogenerated descriptions |
By collaborating with AI, both Stewards and Readers help create a smarter, more complete data catalog — with minimal effort and maximum value.
Best practices for automation
As soon as you've checked automated generation with manual approval and confirmed it matches your business case, don't hesitate to use automated generation by batch. It generates missing descriptions and summaries for all eligible objects in a workspace, and the batch can be reverted if needed (as long as a new batch hasn't started for that workspace).
To check the automated generations, use the filters Description is not empty and Updated On.