MultiModal Search on Fess

Fess is an Enterprise Search Server. This Docker environment sets up a MultiModal Search Server on Fess.

Getting Started

Prerequisites

Ensure you have Docker and Git installed on your system.

Setup

1. Clone the repository:

   git clone https://github.com/codelibs/docker-multimodalsearch.git
   cd docker-multimodalsearch

2. Run the setup script:

   bash ./bin/setup.sh

Start the Server

Start the server using Docker Compose:

docker compose -f compose.yaml up -d

Once started, access the server at http://localhost:8080/.

Reindex Data

1. Navigate to Admin > Maintenance.
2. Start the reindexing process.

Your multimodal search setup on Fess is now complete and ready to use.

Stop the Server

To stop the server, run:

docker compose -f compose.yaml down

For Production

To deploy in a production environment, update compose-production.yaml with your domain, replacing multimodal.codelibs.org.

Additional Information

Test Data

To download 1000 images for testing, use the following commands. The images will be available in the /home/fiftyone/validation/data directory of the Fess container.

1. Install FiftyOne:

   pip install fiftyone

2. Download the dataset:

   fiftyone zoo datasets load open-images-v7 --split validation --kwargs max_samples=1000 -d ./data/fiftyone

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For additional support or information, please visit the Fess documentation.