---
title: "Ask Donna (AI Chatbot)"
slug: "ask-donna"
updated: 2026-09-22T16:08:54Z
published: 2026-09-22T16:08:54Z
canonical: "docs.dataloop.ai/ask-donna"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataloop.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Ask Donna (AI Chatbot)

## Overview

**Donna** is an **in-built AI chatbot** within the DDOE platform that allows you to ask questions and get guidance **directly while working in the platform**.

It acts as your **interactive assistant**, helping you understand features, workflows, and SDK usage without leaving the UI.

![](https://cdn.document360.io/53f32fe9-1937-4652-8526-90c1bc78d3f8/Images/Documentation/image(734).png)

**Donna provides**:

- **Product guidance:** Explains DDOE features such as datasets, preprocesses, compute clusters, etc.
- **Workflow assistance:** Helps you understand how to perform tasks step-by-step (e.g., create dataset, configure storage)
- **SDK support:** Provides examples and explanations for using the **dtlpy SDK.**
- **Best practices:** Suggests recommended ways to design pipelines, manage data, and use platform features effectively.

![](https://cdn.document360.io/53f32fe9-1937-4652-8526-90c1bc78d3f8/Images/Documentation/image(735).png)

## How Donna Processes Your Questions

When you submit a question, Donna analyzes the request and searches across DDOE's knowledge sources to understand the topic and provide the most relevant response.

Donna primarily uses:

- **DDOE User Documentation**: Information about platform features, workflows, configurations, and best practices.
- **SDK Documentation**: Information about the `dtlpy` SDK, APIs, methods, parameters, and code examples.

---

## How Responses Are Generated

1. **User submits a question:** Example: "How do I create a dataset using a storage driver?"
2. **Donna analyzes the query:** It identifies the topic, keywords, and intent behind the question.
3. **Relevant documentation is retrieved:** Donna searches the available documentation sources for information related to the request.
4. **Information is summarized:** Instead of returning entire documentation pages, Donna extracts the most relevant content and presents it in a concise, easy-to-understand format.
5. **Response is generated:** Depending on the question, Donna may provide:
  - Feature explanations
  - Step-by-step instructions
  - Configuration guidance
  - SDK code snippets
  - Troubleshooting recommendations
  - Best-practice suggestions

---

## **Example Queries**

- “How do I create a dataset with a storage driver?”
- “What is Direct Data?”
- “How do I upload files using dtlpy?”
- “Why is my schema not updating?”