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

# introduction

> An overview of InteraOne and its architecture.

InteraOne is an open-source AI customer support platform built for developers.

It enables teams to build AI-powered customer support experiences with complete control over their infrastructure, data, and AI providers. Unlike closed SaaS platforms, InteraOne can be self-hosted, customized, and extended to fit your own requirements.

This documentation is intended for developers, contributors, and self-hosting teams.

***

## What is InteraOne?

InteraOne provides the infrastructure required to build modern AI-powered customer support systems.

Core capabilities include:

* AI-powered conversations
* Shared inbox for AI and human agents
* Knowledge base with Retrieval-Augmented Generation (RAG)
* Multiple communication channels
* Human handoff
* Ticket intelligence
* Organization and team management
* REST APIs
* Self-hosted deployment

***

## Architecture

InteraOne is composed of multiple services that work together.

```text theme={null}
                    Client Channels
     (Widget • Email • WhatsApp • Telegram)

                         │
                         ▼
                    API Gateway
                         │
        ┌────────────────┼────────────────┐
        ▼                ▼                ▼
     Agent           Console          Worker
        │                                 │
        ▼                                 ▼
   AI Providers                 Background Jobs
        │
        ▼
MongoDB • Redis • Qdrant
```

Each service has a single responsibility, allowing InteraOne to remain modular and scalable.

Learn more in the **Architecture** section.

***

## Documentation Structure

This documentation is organized into the following sections:

| Section        | Description                              |
| -------------- | ---------------------------------------- |
| Quickstart     | Get InteraOne running locally            |
| Self Hosting   | Deployment and infrastructure            |
| Architecture   | Internal services and request flow       |
| AI             | Agent pipeline, memory, model providers  |
| Knowledge Base | File ingestion, crawling, vector search  |
| Channels       | Widget and messaging integrations        |
| Administration | Organizations, memberships, permissions  |
| API            | REST API reference                       |
| Contributing   | Local development and contribution guide |

***

## Open Source

InteraOne is open source and welcomes community contributions.

You can contribute by:

* Reporting bugs
* Improving documentation
* Submitting pull requests
* Adding integrations
* Building new AI tools
* Improving performance

***

## Who is this documentation for?

This documentation is intended for:

* Backend developers
* Frontend developers
* DevOps engineers
* Infrastructure engineers
* AI engineers
* Open source contributors
* Teams self-hosting InteraOne

It assumes basic familiarity with Docker, Git, REST APIs, and modern JavaScript/TypeScript development.

***

## Next Steps

Continue with the **Quickstart** guide to install and run InteraOne locally.