TeamAI's new AI Data hubs feature allows users to store and manage various types of documents, making it easier to organize and access information. In this article, we'll explore the different document types supported by the data hubs feature.

TeamAI's data hubs support a wide range of file types, including:

These file types cover a broad spectrum of documents, from simple text files to more complex formats like presentations and spreadsheets.

In addition to files, TeamAI's data hubs also support webpages. Webpages are treated as a type of document, allowing you to store and manage web content alongside your other files. This feature is particularly useful for archiving important web resources or creating a knowledge base from online sources.

A website is a collection of webpages, and each webpage would need to be stored individually as a separate document.

When using TeamAI's data hubs feature, it's essential to keep in mind that both files and webpages are counted as documents for billing purposes. This means that storing a large number of files or webpages will contribute to your overall document count and may impact your billing tier. But those webpage documents that are created when using the website mode, don't add up towards your documents limit in the billing. In fact, the whole website is counted as one unit towards your monthly website limit.

TeamAI's data hubs feature supports a diverse range of document types, including various file formats and webpages. By understanding the supported document types and billing considerations, you can effectively organize and manage your information within the data hubs feature. Start exploring the possibilities of data hubs today and streamline your document management process.