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

# Examples

<Snippet file="run-pgvector-docker.mdx" />

## Run Jupyter on Docker

A jupyter notebook is a must have for AI development. Update the `resources.py` file to:

```python resources.py theme={null}
from os import getenv

from phi.docker.app.jupyter import Jupyter
from phi.docker.app.postgres import PgVectorDb
from phi.docker.resources import DockerResources

# -*- PgVector running on port 5432:5432
vector_db = PgVectorDb(
    pg_user="ai",
    pg_password="ai",
    pg_database="ai",
    debug_mode=True,
)

# -*- Jupyter running on port 8888:8888
jupyter = Jupyter(
    mount_workspace=True,
    env_vars={"OPENAI_API_KEY": getenv("OPENAI_API_KEY")},
)

# -*- DockerResources
dev_docker_resources = DockerResources(
    apps=[vector_db, jupyter],
)
```

Start resources using:

<CodeGroup>
  ```bash Mac theme={null}
  phi start resources.py
  ```

  ```bash Windows theme={null}
  phi start resources.py
  ```
</CodeGroup>

### View Jupyterlab UI

* Open [localhost:8888](http://localhost:8888) to view the Jupyterlab UI. Password: **admin**
* The directory is automatically mounted in the notebook.

## Stop resources

<CodeGroup>
  ```bash Mac theme={null}
  phi stop resources.py
  ```

  ```bash Windows theme={null}
  phi stop resources.py
  ```
</CodeGroup>