# n8n Demo setup

This repo helps quickly bootstrap an n8n demo environment using docker-compose.

### Requirements
- [Docker compose](https://docs.docker.com/compose/)
- **Optionally** an Nvidia GPU for faster inference on Ollama

### Setup
- Clone this repo
- **Optionally** edit the credentials in the `.env` file
- Start the containers:
    - If you have an Nvidia GPU, run `docker compose --profile gpu-nvidia up`
    - Otherwise to run inference services on your CPU, run `docker compose --profile cpu up`
- Wait a couple of minutes for all the containers to become healthy
- Open http://localhost:5678 in your browser and fill in the details
- Open the included workflow: http://localhost:5678/workflow/srOnR8PAY3u4RSwb
- Wait until Ollama has downloaded the `llama3.1` model (you can check the
  docker console)

### Included service endpoints
- [n8n](http://localhost:5678/)
- [Ollama](http://localhost:11434/)
- [Qdrant](http://localhost:6333/dashboard)

### Local files

When running the demo for the first time, Docker will create a folder `shared`
next to the `docker-compose.yml` file. You can add files to that, that will be
visible on the `/data/shared` folder inside the n8n container, and you can use
that, for example, with the Local File Trigger node.

### Updating
- Run `docker compose pull` to fetch all the latest images
- If you use Ollama, use either `docker compose --profile cpu pull` or
  `docker compose --profile gpu pull` to pull the correct ollama images
- Run `docker compose create && docker compose up -d` to update and restart
  all the containers