> For the complete documentation index, see [llms.txt](https://build.intract.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://build.intract.io/users-hub/user-portal-guide/data-and-storage.md). # Data & Storage Your digital story is made up of all sorts of data and it is all over the place. Some of it is structured while some of it dynamic and unstructured. To handle all of these diverse needs, our platforms has a unified database that’s managed for you that can handle all sorts of storage needs you throw at it. ### A Unified Storage Solution No matter what kind of data you’re dealing with—vector embeddings, knowledge graphs, SQL-style structured stuff, or unstructured things like MongoDB docs and S3 storage—we’ve got your back. Our managed database is built to tackle it all. * **Vector databases:** To handle the vector embeddings smoothly * **Knowledge graphs:** To map out all the connections in your data * **Structured Data**: SQL-like tables for the classic organized info * **Flexible Storage**: For anything that doesn’t fit the usual mold. You’re all set with us. **All-in-One, Developer-Friendly:** We’ve combined all storage options and rolled them into one smooth, seamless system. Developers can just add their data into our managed database with ease. ### Your Data, Fully Under Your Control **Privacy and Security First:** Every single piece of your data that is stored in our databases is encrypted with a private key - meaning you are the only with full access to it **Custom Integrations:** If you prefer using your own setup, you’re free to connect your vector database, MongoDB, Ceramic DB. **Comprehensive Data Coverage:** Not only is your raw pieces of data stored here but also the insightful interpretations of your data artifacts stored safely. --- # 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://build.intract.io/users-hub/user-portal-guide/data-and-storage.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.