> For the complete documentation index, see [llms.txt](https://docs-v3.activeloop.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-v3.activeloop.ai/setup.md).

# SETUP

- [Installation](https://docs-v3.activeloop.ai/setup/installation.md): Installing the Deep Lake Python package
- [User Authentication](https://docs-v3.activeloop.ai/setup/authentication.md): Registration and authentication in Deep Lake.
- [Workload Identities (Azure Only)](https://docs-v3.activeloop.ai/setup/authentication/workload-identities.md): How to authenticate using workload identities instead of user credentials.
- [Storage and Credentials](https://docs-v3.activeloop.ai/setup/storage-and-creds.md): How to access datasets in other clouds and manage their credentials.
- [Storage Options](https://docs-v3.activeloop.ai/setup/storage-and-creds/storage-options.md): How to authenticate using Activeloop storage, AWS S3, and Google Cloud Storage.
- [Setting up Deep Lake in Your Cloud](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials.md): How to store Deep Lake data in your own cloud and manage credentials with Deep Lake
- [Microsoft Azure](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/microsoft-azure.md): Azure-specific information for connecting data to Deep Lake
- [Configure Azure SSO on Activeloop](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/microsoft-azure/configure-azure-sso-on-activeloop.md): Enabling Azure SSO on Activeloop
- [Provisioning Federated Credentials](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/microsoft-azure/provisioning-federated-credentials.md): How to setup Federated Credentials in Azure
- [Enabling CORS](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/microsoft-azure/enabling-cors.md): How to enable Cross-Origin Resource Sharing in your Azure account.
- [Google Cloud](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/google-cloud.md): Azure-specific information for connecting data to Deep Lake
- [Provisioning Federated Credentials](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/google-cloud/provisioning-federated-credentials.md): How to setup Federated Credentials in Google Cloud
- [Enabling CORS](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/google-cloud/enabling-cors.md): How to enable Cross-Origin Resource Sharing in your GCS account.
- [Amazon Web Services](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/amazon-web-services.md): AWS-specific information for connecting data to Deep Lake
- [Provisioning Role-Based Access](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/amazon-web-services/provisioning-rbac.md): How to provision Role-Based Access in S3
- [Enabling CORS](https://docs-v3.activeloop.ai/setup/storage-and-creds/managed-credentials/amazon-web-services/enabling-cors.md): How to enable Cross-Origin Resource Sharing in your AWS S3 buckets.


---

# 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://docs-v3.activeloop.ai/setup.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.
