Overview

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

Run elasticsearch

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

Run model API

 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

Alternative: Run both via docker-compose

 docker-compose up

Edit docker-compose.yml, if you want to configure elasticsearch host, models etc.