Weaviate is a vector database that allows you to create and query embeddings with pre—trained deep learning models. It integrates with ResNet—50 to vectorize images, making it possible to build an image similarity search engine with relative ease.
Set up for use:
npm install
docker-compose up -d
This command sets up all needed boiler plate ready for search use.
npm setup
These command is the commnad needed once the search folder and file is in place, this will commence the search.
npm search