> For the complete documentation index, see [llms.txt](https://docs.ixhello.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ixhello.com/knowledge-bot/functional-documentation/functional-capabilities/data-sources.md).
# Data sources
For each Knowledge Bot, users can add data sources from which the chatbot will retrieve responses. These sources enable the chatbot to integrate with various sources to provide accurate and real-time information to agents. The supported data sources include:
* **Internal Knowledge Repository**: The chatbot can retrieve information from the system’s internal repository, where knowledge materials can be uploaded in formats such as Microsoft Word (.docx), Excel (.xlsx), PowerPoint (.pptx), PDF (.pdf) and Text (.txt) files.
* **Batch Upload Constraints**
* You can upload a **maximum of 10 documents per batch**.
* All files in a batch **must have the same file extension**.
* **Web Scraping**: The chatbot has the ability to scrape data directly from websites, ensuring it can access real-time external information when necessary, expanding the range of data beyond internal sources.
* **Major Knowledge Management Systems**: Integration with internal and external Confluence and SharePoint instances. These integrations support SSO authentication, allow users to select specific documents or pages for scraping, and provide options for sensitive data masking and scheduled updates to keep information up to date.
On the Knowledge Bot details page, users can view the list of data sources associated with the current knowledge bot and have the option to upload new ones.
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# 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 by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.ixhello.com/knowledge-bot/functional-documentation/functional-capabilities/data-sources.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.
