> For the complete documentation index, see [llms.txt](https://docs.zata.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zata.ai/knowledgebase/integration.md). # Integration The Integration section provides options to connect Zata.ai with third-party tools and platforms. It allows users to link their existing backup systems, storage tools, and applications with Zata.ai storage for seamless data transfer and management. This section helps in: * Connecting external backup solutions with Zata.ai * Enabling automated data backup and recovery * Simplifying data movement between different platforms * Centralizing storage operations using Zata.ai as a backend Integrations make Zata.ai more powerful by allowing it to work smoothly with existing enterprise tools and backup solutions. --- # 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: ``` GET https://docs.zata.ai/knowledgebase/integration.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.