Example docker-compose configuration file with text2vec-transformers, NER, spellcheck, Q&A and demo dataset
Here you find an example docker-compose configuration file to start up Weaviate with the text2vec-transformers module, a News Publications example dataset and three other modules: ner-transformers, text-spellcheck and the qna-transformers module. Note that the docker-compose-gpu.yaml example assumes you have a GPU available.
Download the docker-compose.yml file. In the folder where you stored the file, run docker-compose up. Now, Weaviate, the modules and the dataset will be retrieved, Weaviate will start up with the text2vec-transformers module, and load in the demo data. Weaviate will be running at localhost:8080. You can then navigate to console.semi.technology and connect to http://localhost:8080, to query the dataset.