Teams can integrate Atlassian Confluence Cloud with Amazon Quick to search and manage documentation without switching between multiple systems. When documentation lives in Confluence, but related data sits in other systems, teams waste time switching tools, re-searching for context, and manually gathering information. These interruptions slow decisions and create gaps between available knowledge and actionable insights. The direct integration with Confluence Cloud reduces context switching by making your Confluence content searchable through natural language queries directly from the Quick interface. Teams can query Confluence pages, retrieve documentation, and update content while accessing data from other integrated systems such as Amazon Simple Storage Service (Amazon S3), Atlassian JIRA, or other business applications.

In this post, you will learn how to set up the Confluence Cloud integration with Quick. This includes creating a knowledge base for semantic search, setting up Actions to query and manage Confluence pages, and organizing resources in Quick Spaces. Quick integrates with your current enterprise technology stack, from internal knowledge repositories and corporate intranets to business-critical applications and AWS data services. These integrations span three categories: Actions for executing tasks across connected applications, knowledge bases for indexing unstructured content like documents and wikis, and Topics and Datasets for natural language querying over structured data sources like Amazon Redshift. This post focuses on setting up Knowledge bases and Actions.