> For the complete documentation index, see [llms.txt](https://docs.workfx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.workfx.ai/workfx-companion-agent-knowledge/get-started/key-concepts/knowledge-center.md). # Knowledge Center Users can inject their knowledge into the platform through various means, such as uploading documents, providing URLs, connecting to databases, or direct conversation. The platform processes this information through domain-specific workflows, converting it into semantic, structured domain knowledge. The Knowledge Center includes two types of data: * **Knowledge**: Unstructured data such as documents and URLs * **Database(Coming Soon)**: Structured data from uploaded Excel files or connected databases **Why we need a Knowledge Center:** * To Ground AI in Reality: Without a knowledge base, an AI model (the agent's brain) relies solely on its internal, memorized training data. This data can be outdated or incomplete, leading to "hallucinations" or made-up answers. A knowledge base provides a factual source of truth. * To Ensure Currency and Relevance: The world is constantly changing. You can update a knowledge base with new information (e.g., new company policies, recent news, product updates) instantly, without the massive cost and time of retraining the entire AI model. * To Provide Domain-Specific Expertise: You can create specialized knowledge bases for specific fields like medicine, law, or engineering, giving an AI system expert-level information in that domain. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.workfx.ai/workfx-companion-agent-knowledge/get-started/key-concepts/knowledge-center.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.