> For the complete documentation index, see [llms.txt](https://cqube.sunbird.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cqube.sunbird.org/techanical-overview/key-components.md). # Key Components This page outlines the key components of cQube * **Installation:** The installation block enables easy deployment and setup of the cQube platform. It provides a streamlined process for getting cQube up and running quickly. * **Ingestion:** The ingestion block handles the collection and validation of data from various sources. It ensures that the data is accurately captured and standardized for further processing. * **Processing:** The processing block involves data transformation, cleansing, aggregation, and advanced analytics. It leverages the collected data to derive meaningful insights, identify patterns, and generate actionable intelligence. * **Visualization:** The visualization block focuses on presenting the analyzed data in a visually appealing and intuitive manner. It includes interactive dashboards, charts, graphs, and reports that allow users to explore and understand the data easily. * **Actions:** The actions block enables stakeholders to take informed actions based on the insights gained from the data. It supports evidence-based decision-making and provides a platform for implementing targeted interventions and policies. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://cqube.sunbird.org/techanical-overview/key-components.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.