Hi all,
I’ve noticed a limitation with Rovo when working with data stored in Confluence. If I ask Rovo to analyze or extract information from a Confluence database or table, it doesn’t process the data directly. Instead, it suggests exporting the data and uploading it back for analysis.
However, when editing a table, Rovo can provide contextual insights — which shows it does have the capability to understand structured table data in some contexts.
Here’s an example use case that would be extremely valuable:
“I’d like the email addresses separated by commas for all rows where the Role column is set to CIO.”
Being able to query structured Confluence data like this directly within Rovo would greatly improve productivity and unlock many practical use cases.
Is this limitation something that’s planned to be addressed?
Thanks!
There is actually a workaround: if you edit the table, the contextual AI support allows you to ask for this information and it can extract the data. However, I don’t think editing the table is a proper way to achieve this, since it requires additional steps and also limits the action to users who have edit access.
Same problem here. AFAIK, Rovo AI does not support the Confluence Database at all currently. Correct me if I’m wrong.
That forces us to avoid using the Confluence Database and instead fall back to the traditional Page, then add a Table in the page to store our data for AI to learn from. It’s very odd and hard to use.
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