We run two services in the backend: elasticsearch + the model API. The model API is configured via environment variables that can be passed into the docker container or set in backend/config.py
a) Fresh elasticsearch index:
docker run -d -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:7.5.1
Then ingest data via data_ingestion.py
b) Dev:
docker run -d -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" deepset/covid-qa-elastic
This image has already some docs indexed, so you can skip data_ingestion.py
docker image build -t deepset/covid-qa-haystack .
docker run --net=host -e TEXT_FIELD_NAME=answer -e SEARCH_FIELD_NAME=question -e EXCLUDE_META_DATA_FIELDS='["question_emb"]' deepset/covid-qa-haystack:latest
or without docker:
pip install -r requirements.txt
uvicorn backend.api:app
docker-compose up
Edit docker-compose.yml, if you want to configure elasticsearch host, models etc.