Examples

Run PgVector on Docker

Create a file resources.py with the following contents:

resources.py

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,
)

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

Start resources using:

phi start resources.py

phi start resources.py

Press Enter to confirm and verify container status on the docker dashboard.

Run Jupyter on Docker

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

resources.py

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:

phi start resources.py

phi start resources.py

View Jupyterlab UI

Open localhost:8888 to view the Jupyterlab UI. Password: admin
The directory is automatically mounted in the notebook.

Stop resources

phi stop resources.py

phi stop resources.py

Templates

How to

Workspace

Apps

Resources

Run PgVector on Docker

Run Jupyter on Docker

View Jupyterlab UI

Stop resources

​Run PgVector on Docker

​Run Jupyter on Docker

​View Jupyterlab UI

​Stop resources

Run PgVector on Docker

Run Jupyter on Docker

View Jupyterlab UI

Stop resources