Apps
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:
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:
View Jupyterlab UI
- Open localhost:8888 to view the Jupyterlab UI. Password: admin
- The directory is automatically mounted in the notebook.
Stop resources
Was this page helpful?