This project's origin is here and the Hackernoon article: "Semantic Search Queries Return More Informed Results".
(TODO: Add demo video)
(TODO: Add Description)
The transformer model sentence-transformers/msmarco-distilroberta-base-v2
is connected to Weaviate as vectorization module (see docker-compose.yaml
file).
(TO DO)
(TO DO)
- Start up Weaviate:
docker-compose up -d
. Once completed, Weaviate is running onhttp://localhost:8080
. - Install requirements:
pip install -r requirements.txt
- Run
python import.py
to import 2500 wines to Weaviate. - Navigate to console.semi.technology, connect to
http://localhost:8080
, navigate to the query module, and happy querying!
This folder contains Wine review data, retrieved from Kaggle (from WineEnthusiast).