Basic example repository showing how to use ScrapeGraphAI with Ollama in docker compose.
- Docker Compose V2
- Task (3.43+) (optional, but recommended)
Up the ollama service.
task upNote
The default model ollama3.2 will be pulled inside the ollama service. You can create your own .env file
and change the OLLAMA_MODEL variable to the desired model (see the Model library).
Tip
If you want to use GPU capabilities, follow the instructions in the ollama/ollama docker repository.
Afterward, you can create a compose.override.yaml to star the ollama service with GPU options.
Example for Nvidia GPU:
services:
ollama:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]Then run the scrapegraph module.
task run p="Describe the page" s="https://www.youtube.com/watch?v=dQw4w9WgXcQ"Response.
{
"content": "The webpage appears to be a YouTube video page for the song 'Never Gonna Give You Up' by Rick Astley. The page includes information such as the video's title, channel, and views. There is also a link to a biography and an audiobook introduction. The page has a playlist section where viewers can add videos, but there seems to be a technical issue with sharing functionality."
}Important
If you are done and no longer need to use ollama and its volume, make sure to remove it.
task down -- -v --remove-orphans
# or
docker compose down -v --remove-orphans- ☑️ Pre-commit.
- 🐋 Docker Compose V2
- 📋 Task 3.37+
This repository comes with a BSD 3-Clause License.