# Data & Content Security

## What type of data is stored?

Websites that are scraped, documents and/or text that are uploaded to train an AI agent are securely stored within a vector database hosted in the United States.&#x20;

## How is my data used?

We only use your data to train your AI chatbots and improve the product, we do not pass it on to any 3rd parties for marketing purposes.&#x20;

## Who owns the data that is uploaded?

The content and data you upload to Stammer.ai is owned by your account. Your data is not used by Stammer.ai for any other purpose than providing you with the A.I. Agent services.&#x20;

Any and all data is deleted from our servers after you delete it.

## What happens to customers' data when they upload it? What happens with my clients’ companies’ data? Who is responsible for keeping it safe?

Websites that are scraped, documents and/or text that are uploaded to train an AI agent are securely stored within a vector database hosted in the United States.&#x20;

You can see full details of our Privacy Policy here: <https://stammer.ai/privacy-policy>

![](/files/9nmn8sOlNWpkQeul2K82)

### What is the maximum number of data sources that can be added?

There is no specific limit on the number of data sources you can add. However, the total amount of data is constrained by your plan’s character limit. We recommend checking your current plan details for precise limitations.


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# 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://docs.stammer.ai/stammer.ai-docs/chat-ai-agents/knowledge-base-explained/data-and-content-security.md?ask=<question>
```

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.
