> For the complete documentation index, see [llms.txt](https://docs.convai.com/api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.convai.com/api-docs/plugins-and-integrations/unreal-engine.md).

# Unreal Engine

Set up the Convai Unreal Engine plugin and add conversational AI to your apps.

{% hint style="info" %}
Get started with sample projects for some of our popular tutorials:

* [Actions sample project (UE5.3)](https://drive.google.com/drive/u/1/folders/1UWgQMHTTSq4O45PtKCyr8sjZbbkq-2_o)
* [NPC conversating with NPC sample project (UE5.3)](https://drive.google.com/drive/u/1/folders/1a_rzPDfjTxDju3q2ykzeJuzIeKlolg4V)
* [MetaHuman and ReadyPlayerMe sample project (UE5.0-5.2)](https://drive.google.com/drive/u/4/folders/1HNcghI9SG1NpCUaJWRX9Yh28HUF00-U0)
  {% endhint %}

{% embed url="<https://www.youtube.com/watch?ab_channel=Convai&list=PLn_7tCx0ChiogfggG1AVo6IkELQSLt6o3&v=HHJvY9dmwwg>" %}
Explore and test Convai in Unreal Engine with the Demo project.
{% endembed %}

## Guides

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Setting Up</strong></td><td>Setup your project with Convai plugin.</td><td><a href="/api-docs/plugins-and-integrations/unreal-engine/guides-v2-under-development/getting-started/download-and-setup.md">Installation</a></td></tr><tr><td>Creating MetaHuman Characters</td><td>MetaHuman characters with lip sync</td><td><a href="/api-docs/plugins-and-integrations/unreal-engine/guides/creating-metahuman-characters.md">Creating MetaHuman Characters</a></td></tr><tr><td>Creating Reallusion Characters</td><td>Reallusion characters with lip sync</td><td><a href="/api-docs/plugins-and-integrations/unreal-engine/guides/creating-reallusion-characters.md">Creating Reallusion Characters</a></td></tr></tbody></table>

## More on the Unreal Engine SDK

<table data-view="cards" data-full-width="false"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Blueprint Reference</strong></td><td>Detailed documentation for every blueprint function or component.</td><td><a href="/api-docs/plugins-and-integrations/unreal-engine/blueprints-reference.md">Blueprints Reference</a></td></tr><tr><td><strong>Chanegelog</strong></td><td>Track changes to the Unreal SDK.</td><td><a href="https://github.com/Conv-AI/Convai-UnrealEngine-SDK/blob/main/CHANGELOG.md">https://github.com/Conv-AI/Convai-UnrealEngine-SDK/blob/main/CHANGELOG.md</a></td></tr><tr><td><strong>Github Repository</strong></td><td>Access the source code for the SDK.</td><td><a href="https://github.com/Conv-AI/Convai-UnrealEngine-SDK/blob/main/">https://github.com/Conv-AI/Convai-UnrealEngine-SDK/blob/main/</a></td></tr><tr><td><strong>Tutorial Playlist</strong></td><td>Implement basic conversation either written or with voice.</td><td><a href="https://youtu.be/iGn_WMjfU-A">https://youtu.be/iGn_WMjfU-A</a></td></tr></tbody></table>


---

# 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.convai.com/api-docs/plugins-and-integrations/unreal-engine.md?ask=<question>&goal=<user_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.