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.

Actions connect Quick to external systems at the time of prompt or query. You can read, write, and automate tasks directly within Quick. There are three ways to set up an Action integration:

Some services, like Confluence Cloud, support multiple integration paths. This post will focus on setting up an action integration using the built-in connector.

Knowledge bases index content before users query it. When you create a knowledge base, Quick connects to external systems like Confluence Cloud or JIRA, retrieves your documents and wikis, and builds a searchable index. When users ask questions, Quick retrieves relevant information from this pre-built index rather than connecting to the external system in real time. This approach makes unstructured content instantly searchable through natural language queries.

Together, Actions and knowledge bases give you flexible, complementary ways to bring your enterprise data and workflows into Quick.