> 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/ixhc/step-by-step-bot-creation-guide/ix-hello-rag-website-bot-creation-guide/ix-hello-rag-website-bot-using-quick-start-app.md).

# iX Hello RAG Website Bot using Quick Start App

Creating a Rag Bot using a quick app is straightforward and can be broken down into a series of manageable steps. By following these instructions, even beginners can set up a functional bot in a short amount of time.

### **Prerequisites**

To create an app using Quick Start follow [this](/ixhc/general/rag-file-upload/file-upload-in-studio-mode-1/quick-start-apps.md).

Click on the Quick Start app and choose RAG Assistant

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2FR1j2FmcFd0s5oWHbrUVn%2Fimage.png?alt=media&amp;token=66b4af6f-1512-4d9d-8421-44b5bfb86812" alt="" width="563"><figcaption></figcaption></figure>

Fill in the General Information and Knowledge Base Data and Click on Save.

You find different means to upload the KB's:

* File Upload: Upload files containing text to help train your AI application -.PDF, .DOCX, .CSV, .XLS, .XLSX, .TXT-Files (max. 1 MB), maximum 10 files
* FAQ-Upload: Download FAQ template, enter your FAQs and upload to train bot.&#x20;
* Additional Information: Add additional information about your business that you would like your assistant to learn.
* Web URLs: Trains bot directly from web URLs, except where WAFs or other scrape blockers are in place.

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2Fj1xgLSrIjPrjxqpDBzHQ%2Fimage.png?alt=media&amp;token=b1f0b66f-1ef5-4593-82dd-cf319d338768" alt="" width="563"><figcaption></figcaption></figure>

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2FBPuqMX0maUeeX1LslGIa%2Fimage.png?alt=media&amp;token=025d5642-7cda-4215-8840-63094e32a61b" alt="" width="563"><figcaption></figcaption></figure>

Once saved, you can see the app created, click on Activate.

After activating the application, click on chat now button.

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2Fdn6AKj7DXTYsdaTjUen8%2Fimage.png?alt=media&amp;token=944f431d-67a9-473d-b49b-2551767e944c" alt="" width="563"><figcaption></figcaption></figure>

Bot will be launched; you now start the conversation with the chatbot.

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2FNI9fmNKffumWJ51NVjqv%2Fimage.png?alt=media&amp;token=6b785b81-bd56-4229-8eed-2ae196bf893b" alt="" width="563"><figcaption></figcaption></figure>

<figure><img src="https://1107164708-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M8XHvUsfyTUFLvToHqD%2Fuploads%2FTqkpkGJtw3oonjYhqf7g%2Fimage.png?alt=media&amp;token=e8a7519a-130e-422d-a240-b7c7d0839832" alt="" width="563"><figcaption></figcaption></figure>

By following these detailed steps, you can successfully create, launch, and maintain a Rag Bot that meets your specific needs.


---

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