Vespa.ai and the CORD-19 public API

A taste of what you can do with Vespa

The Vespa team has been working non-stop to put together the cord19.vespa.ai search app based on the COVID-19 Open Research Dataset (CORD-19) released by the Allen Institute for AI. Both the frontend and the backend are 100% open-sourced. The backend is based on vespa.ai, a powerful and open-sourced computation engine. Since everything is open-sourced, you can contribute to the project in multiple ways.

As a user, you can either search for articles by using the frontend or perform advanced search by using the public search API. As a developer, you can contribute by improving the existing application through pull requests to the backend and frontend or you can fork and create your own application, either locally or through Vespa Cloud, to experiment with different ways to match and rank the CORD-19 articles. My goal here with this piece is to give you an overview of what can be accomplished with Vespa by using the cord19 search app public API. This only scratches the surface but I hope it can help direct you to the right places to learn more about what is possible.

Simple query language

The cord19.vespa.ai query interface supports the Vespa simple query language that allows you to quickly perform simple queries. Examples: