Installation via Docker image
This Docker image is the free version of Flow.
All search features are enabled but some limitations are present:
- Limited to 5,000 images in collection
- Limited to 1 collection
- No distributed search support
If you want to go pro check out our license plans.
Download & run Flow image
Download and start the free pre-configured Flow Docker.
Minimum system requirements
PowerPCnot supported); E.g. at least Intel Core 6th generation, but newer is better (faster indexing and searching); performance measurements made with Intel Core i9 @ 12th generation
- Memory: 4GB
- Disk space: 5GB
- OS: Linux
docker run --rm -p8983:8983 pixolution/flow
The server port
8983 is exposed.
The log is displayed in your terminal and Flow is up and running.
How to persist data
To persist your indexed data between Docker restarts, create a named volume:
docker volume create flow-volume
docker run -v flow-volume:/var/solr -p8983:8983 pixolution/flow
Add example dataset
The following command uses our example json with about 1,500 pre-analyzed docs and adds them to
my-collection of your local Flow instance.
curl -s 'https://docs.pixolution.io/assets/docs_analyzed.json' | \
curl --header 'Content-Type: application/json' \
--data @- 'http://localhost:8983/api/cores/my-collection/update?commit=true'
After starting the Docker image and indexing the example dataset, you are ready to go:
The HTML user interface is designed for quick testing and has limited functionality. Flow is designed to be used by API.