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

# Installation Overview

> Overview of the components required for deploying Studio

Rasa Studio is a self-hosted product designed for collaborative development, requiring deployment within your own environment.
Studio offers two deployment options: using Helm or Docker Compose. Each option serves different needs:

### [Docker Compose](/docs/studio/installation/installation-guides/docker-compose-guide)

Our recommended getting-started or trial install. Ideal for those who prefer a more straightforward setup without needing Kubernetes.

### [Helm](/docs/studio/installation/installation-guides/helm-guide)

Best suited for those who already have a Kubernetes environment and require maximum control and flexibilit for a production deployment.

**Ready to deploy?** Pick your path, follow the steps, and get started with building amazing conversational AI experiences.

<Note>
  Read the [System Architecture Guide](/docs/reference/architecture/studio) to learn more about the containers, services, and resource requirements for self-hosted deployment instances.
</Note>


## Related topics

- [Overview](/docs/reference/config/overview.md)
- [Python Versions and Dependencies](/docs/reference/python-versions-and-dependencies.md)
- [Users and Roles Setup Guide](/docs/studio/installation/setup-guides/authorization-guide.md)
- [Policy Overview](/docs/reference/config/policies/overview.md)