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Hi,
These are all documented behaviors in Microsoft's Power Platform docs to better understand and see if it resolve your queries.
Dataverse Search being disabled is likely the primary cause. Microsoft explicitly states: "All generative AI-powered experiences, such as Copilot and Agents, require Dataverse Search." Without it, there's no semantic ranking records are pulled in basic order, which means whichever source was ingested first wins consistently. That explains why Confluence always dominates. 📄 Reference: https://learn.microsoft.com/en-us/power-platform/release-plan/2025wave1/data-platform/enhance-ai-powered-experiences-dataverse-search
The 30-record default limit is also working against you. Per AI Builder docs, the prompt node only fetches 30 records by default. With 1,000+ Confluence records ingested before your Jira records, the first 30 pulled are almost certainly all Confluence. Microsoft's recommendation for tables over 1,000 records is to use FetchXML to filter down to the relevant subset before the prompt sees the data. 📄 Reference: https://dev.to/balagmadhu/querying-dataverse-using-ai-builders-grounded-prompts-1oco
Indexing delay is the third factor. Microsoft docs note indexing can take anywhere from 30 minutes to several hours for large bulk ingestions so your Jira records ingested today may simply not be in the search index yet. 📄 Reference: https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-unstructured-data (under limits and limitations)
Recommended fix:
Hope it helps if it does i would appreciate it if you mark it as verified answer.
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