# What Can Strawberry AI Do? Strawberry AI can connect information across vast sources and use these connections to answer questions that are difficult or impossible to solve with keyword or vector-based search mechanisms. Building on the previous question, it provides semi-technical, high-level information on how the system offers functionality for various uses. This allows Strawberry AI to answer questions that span multiple documents and address thematic queries like "What are the top themes in this dataset?" Strawberry AI's suite of autonomous multi-agent collaboration ensures multi-modal experiences for users. --- # 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://usestrawberry.gitbook.io/strawberryai/introduction/publish-your-docs.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.