Introduction

With Curiosity Workspace, you can connect to various data sources, enrich and transform your data, and build engaging front-ends for your users.

In this page, we will show you some examples of how to build a Curiosity Workspace using different types of data and features. You can use these samples as inspiration or reference for your own projects. For each sample workspace, you will find the code for the data connector and the custom front-end component in an external GitHub repository. You can clone or fork the repository and modify it according to your needs, and all code is provided under the MIT license.

The samples included are:

• HackerNews: A workspace that indexes and searches stories from HackerNews using the public API. It also demonstrates how to use an external embedding model to generate vectors for similarity seach directly inside your Curiosity Workspace.

• Aviation Incidents: A workspace that indexes and searches aviation incidents and accidents from The Aviation Herald using web scraping.

• Covid Papers: A workspace that indexes and searches scientific papers related to the COVID-19 publications dataset from the COVID-19 Open Research Dataset Challenge (CORD-19).

• NASA Public Library: A workspace that indexes and searches NASA publications from the NASA Technical Reports Server using web scraping.

• Suggest a Recipe: A workspace that searches and recommends recipes from various websites based on ingredients, cuisine, diet, and other preferences.

These samples are provided for demonstration purposes only. There is no affiliation between Curiosity and the data sources used in these samples.