> ## Documentation Index
> Fetch the complete documentation index at: https://omo-3bacc298.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome to the Omo documentation.

<img className="block dark:hidden" src="https://mintcdn.com/omo-3bacc298/2qUYTGsjdPK54Wv5/images/hero-dark.png?fit=max&auto=format&n=2qUYTGsjdPK54Wv5&q=85&s=490c419162bd5b5723efeda9a361f553" alt="Hero Light" width="7203" height="4038" data-path="images/hero-dark.png" />

<img className="hidden dark:block" src="https://mintcdn.com/omo-3bacc298/2qUYTGsjdPK54Wv5/images/hero-dark.png?fit=max&auto=format&n=2qUYTGsjdPK54Wv5&q=85&s=490c419162bd5b5723efeda9a361f553" alt="Hero Dark" width="7203" height="4038" data-path="images/hero-dark.png" />

Omo is an open-source, AI-native search and chat platform with your company data.
You can chat with data sources such as Google Drive, Notion, Confluence, and more.

Our goal is to be cloud-agnostic, LLM-agnostic, and vector-store agnostic,
platform for AI based search and chat.  We initially support AWS, Pinecone,
and GPT. We will eventually add support for other clouds
and a broader array of chat and embedding models.

We always welcome new contributors!

Omo is licensed under Apache 2.0.

<Info>
  Fun fact: our name is inspired by *Omoikane*, the Japanese god of wisdom and intelligence,
  who is able to combine the knowledge of many people.
</Info>

## Setting up

There are 2 ways to utilize Omo.

1. Deploy an environment locally / on your infrastructure
2. Use our [fully-managed version](https://helloomo.ai).

<CardGroup cols={2}>
  <Card title="Quickstart" icon="play" href="/quickstart">
    Get up and running locally.
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference">
    Read our API docs.
  </Card>
</CardGroup>