Finding right information at the right moment is a key distinguisher in today's modern organization. This not only saves huge time and effort but boosts customer satisfaction as well as employee productivity. However, in most large organizations, all the contents and information are scattered and not indexed and organized properly. Often employees and customers browse through unrelated links for hours when they look for some urgent information (e.g., product information or process flows or policies, etc.) in the company's portal or intranet. Popular content management (CMS) software or wikis like Confluence or document management repositories like SharePoint lack the perfect intelligent search capabilities resulting in inefficiency as they only use the partial or full-text search based on keyword matching ignoring the semantic meaning of what the user is looking for.
Also, the traditional search doesn't understand if the question is being asked in natural language. It treats all words as search queries and tries to match all documents or contents based on that. For example, if I need to find which floor our IT helpdesk is located in my office building and simply search "Where is the IT Helpdesk located?" in general, CMS or Wiki software powering the company intranet it may bring up all links or texts matching every word of my question including "IT," "Helpdesk" as well as "located.” This would waste employee productivity, time, and morale as he or she would be spending a long time identifying correct info.