preview
We're still working on this feature, but we'd love for you to try it out!
This feature is currently provided as part of a preview program pursuant to our pre-release policies.
This feature uses New Relic Generative AI, subject to pre-release policies and service specific terms.
New Relic AI Knowledge connector supports 1-click integrations with data sources such as Confluence.
Connector Configurations
To start indexing your confluence content and benefit from the knowledge connector with New Relic AI, follow the mentioned steps:
Navigate to one.newrelic.com > Integrations & Agents.
Search for NRAI Knowledge Connectors.
Select Confluence NRAI Knowledge Connector.
Enter the connector details such as:
Field name | Description |
---|---|
Connector name | Enter a unique name for your connector, example Demo connector. |
Knowledge category | Select the knowledge category from the drop-down list, this will help New Relic AI to look for information in the right place. |
Click Continue.
On the Data source authentication page, enter the required information to authenticate your data source. Click Continue.
On the Configure data source page, enter the required information and define which documents need to be fetched at what frequency. Click Create.
On successful configuration, you’ll see the status of your connector on the Connector overview page.
Field name | Description |
---|---|
Status | Shows you if the data source is available to New Relic AI |
Last Synced | Shows when the data was last updated |
Syncing | If this option is turned off, no new data updates will occur. Existing data will remain unchanged. |
Delete Connector | Deleting a connector will delete all indexed data. |
Supported Connectors:
important
If you’d like to make a request for an unsupported connector, please fill out this form.
Here are the supported connectors:
Connector | Purpose |
---|---|
Confluence | Connect with your retrodocs to understand “How were similar issues resolved in the past?” |
Custom Documents | To index files such as pdfs, csv, txt, etc |