databrickslabs / databrickslabs/ontobricks
[BUG]: Ontology generation using AI is failing if there are lot of tables(100+) and columns
Open
@benoitcayladbx is already working on this.
Since Sep 18, 2026.
bug
Workaround proposed
- Dominant language
- Python
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Description
Is there an existing issue for this?
- I have searched the existing issues
Current Behavior
Ontology generation using AI is failing if there are lot of tables(100+) and columns.
Expected Behavior
AI Agent should intelligently process like iteratively or process related tables together that way it will be able to generate ontology for a big data set.
Steps To Reproduce
Just create a data set with 100 tables and each table having 15-20 columns and add it to data source and click on generate ontology.Agent will go in a loop saying truncated output and eventually it fails after some time.
Cloud
Azure
Browser
Chrome
OntoBricks Version
0.8
Relevant log output
Additional Context
No response
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Assessment
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