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

# Creating A ML Repo

> Create an ML Repo backed by blob storage using the TrueFoundry UI for experiment and artifact tracking.

<Info>
  ### Prerequiste - Blob Storage Integration

  Before you can create an ML Repo, you'd need to connect one or more Blob Storages (S3, GCS, Azure Blob, MinIO, etc) to store artifacts and models associated with a ML Repo. If this one time setup is already done, you can skip to next section

  You can refer to one of the following pages to connect your blob storage to TrueFoundry

  * [AWS S3](doc:integration-provider-aws)
  * [Google Cloud Storage](doc:integration-provider-gcp)
  * [Azure Blob Storage](doc:integration-provider-azure)
  * Any S3 API Compatible Storage
</Info>

You can then create an ML Repo from the ML Repo's tab in the Platform.

<Note>
  Repositories are a shared Platform concept for Prompts, Skills, Artifacts, and Models. See [Repositories](/docs/platform/repositories) for the concept, blob storage backing, and access-control model.
</Note>

<iframe provider="app.supademo.com" href="https://app.supademo.com/embed/cm3o2yns311aoahr701yoz457?embed_v=2" typeofembed="iframe" height="475px" width="100%" src="https://app.supademo.com/embed/cm3o2yns311aoahr701yoz457?embed_v=2" style={{ border: "none", display: "flex", margin: "auto" }} />

Now you are all set to start

* [Creating a run](/docs/create-run)
* [Log and Get Data](/docs/log-and-get-data)
* [Log and Get Models](/docs/log-models)
* [Log and Get Artifacts](/docs/log-artifacts)

***