Back to Search AI connectors listJira is a project management and issue-tracking platform that enables teams to plan, track, and coordinate tasks through customizable workflows.The Jira On-Premise connector lets Search AI ingest, index, and search through Work Items from a self-hosted Jira server, improving accessibility to content from on-premise Jira deployments.
An Atlassian account with admin access. This account fetches content and resolves access permissions for indexed content. Search AI uses basic authentication to communicate with the Jira server.
The Jira Server connector supports standard and advanced filters to control which content is ingested.On the Manage Content page, select Ingest All Content to ingest everything, or select Ingest Filtered Content and click Configure for selective ingestion.
Use standard filters to ingest work items from specific projects. Select one or more projects — all work items within those projects are ingested. You can also define a date range using the calendar selector to limit ingestion to a specific time frame.
Advanced filters provide granular control through field-based rules. Since only Work Items are supported for the Jira server connector, rules apply to work items only. For example, ingest only specific types of work items from a particular project.Select Work Items fields from the parameter list, then provide operators and values to set filter conditions. Add custom fields as needed — field names must match the field names in your Jira server instance.
Advanced filters override standard filters when their criteria conflict. For example, if a standard filter selects Project A and an advanced filter specifies Project B by key, Project B takes precedence.
Each work item is linked to a project via a unique Project ID.
This Project ID is stored in the RACL field of the ingested chunks.
Associate users with a Project ID using the Permission Entity APIs. Users added to the corresponding permission entities gain access to work items associated with those projects.