How to Create a Confluence API Token
Last updated
Last updated
Approximate time to complete: 5-7 minutes, excluding prerequisites
This how to article will give you step by step instructions for creating a Confluence API token. It will also show you how to configure a source connector from Vectorize to your GCS bucket so you can use your bucket in a RAG pipeline.
Before starting, ensure you have access to the credentials, connection parameters, and API keys as appropriate for the following:
A Vectorize account (Create one free here ↗)
A Confluence Account (Create one free here ↗)
Open Confluence.
Go to your profile, then click on Manage Account.
Go to the Security tab, then click on Create and manage API tokens.
Click Create API token.
Give your token a descriptive name, then click Create.
Copy your API token, and save it securely.
Open the Vectorize Dashboard
Navigate to the Vectorize dashboard after logging in.
Select "Source Connectors"
From the left-hand menu, find the Source Connectors option under Integrations.
To configure a connector to your Confluence instance:
Click Source Connectors from the main menu.
Click New Source Connector from the Source Connectors page.
Select the Confluence card.
Enter the integration name, your Confluence username, API token, and domain, and one or more Confluence spaces for your pipeline to pull data from, then click Create Confluence Integration.
The following table outlines the fields available when configuring a Confluence source for use within a Retrieval-Augmented Generation (RAG) pipeline.
Name
The integration's name.
Yes
Username
The username (email address) of the Confluence user to run as.
Yes
API Token
The Confluence API token.
Yes
Domain
The URL for your Confluence installation. Ex. vectorize.atlassian.net.
No
Spaces
One or more Confluence spaces to pull data from. Allowed formats: - Space name (ex. "RAG Pipelines" - Space key (ex. "RP")
Yes
You can think of the Confluence connector as having two parts to it. The first is authorization with your API token. This part is re-usable across pipelines and allows you to connect to this same service account in different pipelines without providing the credentials every time.
The second part is the configuration that's specific to your RAG Pipeline. This allows you to optionally specify a root folder in your Confluence space to pull data from, as opposed to pulling data from the entire space.
