# Data The Data section serves as your comprehensive information management hub, where you organize knowledge, track performance, and gain insights from every customer interaction. This is where you build the foundation for smarter AI agents, better customer understanding, and data-driven decision making. ### Core Components #### Knowledge Base Build and organize content libraries that your AI agents can reference to provide accurate, consistent responses to customer questions. #### Knowledge Base References See how your knowledge base content is being used across different agents and conversations to identify what's working best. #### Flow Executions Track your automated workflows with detailed performance metrics and execution logs to optimize their effectiveness. #### Dashboards Get visual insights into key metrics, trends, and performance indicators across all your platform activities at a glance. #### Products Maintain a centralized catalog of your products for seamless e-commerce integration and accurate product-related customer support. #### Product Groups Organize your products into logical collections for easier management and more targeted marketing campaigns. #### All Users Access comprehensive customer profiles with interaction history and behavioral insights to personalize every experience. #### User Groups Segment customers into targeted groups for personalized communications and automated marketing campaigns that actually resonate. #### Reports Generate detailed analytical reports on platform usage, customer interactions, and business performance to guide your strategy. #### Tag Manager Create and manage classification tags to keep your data organized and easily searchable across all platform features. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://angoor-ai.gitbook.io/angoor-ai/basics/interactive-blocks.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.