> For the complete documentation index, see [llms.txt](https://epsilla-inc.gitbook.io/epsilladb/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://epsilla-inc.gitbook.io/epsilladb/build-your-first-ai-agent.md).

# Build Your First AI Agent

You can now create personalizable AI solutions grounded in your own data. Epsilla Cloud makes building generative AI agents easy and efficient.

**Step 1: Create a Knowledge Base** Start by creating a knowledge base from your own knowledge and data, such as local files or cloud storage.

**Step 2: Create Your AI Chatbot** Create and personalize an agent by setting the agent role, adding knowledge, and configuring its look and interaction style.

**Step 3: Publish and Share** Once ready, publish your agent and share it with others.

With Epsilla Cloud, anyone can create and share intelligent conversational agents quickly and easily—bringing the power of generative AI into your hands.


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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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://epsilla-inc.gitbook.io/epsilladb/build-your-first-ai-agent.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.