A Concept Search uses the extracted text index and applies machine learning using latent semantic mapping, to find documents with similar concepts. Unlike a keyword search or an index search, a concept search actually benefits from longer search strings. To begin, change your search type to Concept Search.
Make sure that all of the documents in your workspace have been indexed. If the index needs to be updated, click the Update Index button (this may take a while).
Type your search into the search box and hit enter to see your results sorted by relevance.
NOTE: even though you are doing an concept search, your search results are also filtered by your currently selected folder (and whether or not you have chosen to include subfolders in your search), tag search (if any), saved search selection (if any), and / or additional search conditions (if any). To start fresh, click the Clear Search button at the top of the window.