It is possible to search using Keenious in a number of ways to make it most convenient to integrate with your research workflow. A web-based version allows for the input of text or upload of files for searching from any browser, while plugins for Microsoft Word and Google Docs enable searching directly from documents as you work. It is important to log in using your CMU account so that you are granted full access to library-subscribed resources.
Check out this demo from Keenious, and see below for helpful screenshots.
Once you log into your account, Keenious will take you to its landing page, where you can upload a PDF, input text, or enter a natural language question to search for articles.
Clicking on the 
arrow will toggle the sidebar if you wish to hide it from view.
The Google Docs plugin integrates seamlessly with to allow you to search for articles using Keenious from your files in Google Docs.
The Keenious plugin for Microsoft Word allows you to search for relevant articles directly from your document.
After you enter text or a search query, Keenious will display a split screen with a response explaining how it is performing a search, including the structured search that it creates from your input. It will also display relevant article recommendations to explore. You can continue to engage with the chat to explore more options for expanding your search, or click on the arrows in the top right corner to expand to a grid view of the article results.
Selecting the Filters option allows you to further refine your article search using various criteria based on topics, publication type, publication dates, authors, and journals.
Selecting an individual article will provide you with a more detailed view of the article abstract and other descriptive information. From here, you can generate a citation for this article by clicking Cite button, add the article to your bookmarks by clicking on the star icon, or access the full text through CMU Libraries, the article DOI link, or the PDF link.
