> For the complete documentation index, see [llms.txt](https://docs.hyper-space.io/hyperspace-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hyper-space.io/hyperspace-docs/flows/data-collections/supported-data-types.md). # Supported Data Types Hyperspace documents can include any of the following types. ## Keywords and Values * Practically unlimited number of fields per document * Full support of nested objects * Full support of all common list types * Main data types - * Integers (unsigned int) * Floats (float) * Strings (keyword) * Boolean (Boolean) * Float vectors (dense\_vector) * Binary vectors (dense\_vector) * Geo points (geo\_point) * Unix timestamp (time\_stamp) ## Vectors ### Important Properties * Large number of vectors per single document * Include different vector fields in a single query * Support extremely high dimensional vectors * Support of nested vectors * Main data types - * Binary * Float --- # 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.hyper-space.io/hyperspace-docs/flows/data-collections/supported-data-types.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.