Semantic Search or A.I. ???

Before Yoogli, Wikipedia was the go-to online research tool. However, Yoogli will offer at least 200 times the amount of information contained on Wikipedia. The Yoogli team has already indexed all of Wikipedia and millions of additional articles from elite research libraries around the web. Yoogli’s plan is to continuously add information from the world’s leading universities, think tanks, researchers, and government studies as well as articles authored by the Yoogli staff.
Yoogli guides users through the research process to return the most accurate and relevant results at lightning speed, because the search engine understands the contextual meaning and intent of a search. This process is known as Semantic Search. A Semantic Search considers many factors, including context, location, intent, word variation, synonyms, generalized and specialized queries, concept matching, and natural language queries to provide relevant search results.
Semantic Search might sound complicated, but all of the heavy-lifting occurs on the backend. The website aggregates information from a number of databases, taking users directly to research articles. From here, the algorithm summarizes these articles to take users to relevant paragraphs. All a user has to do is enter a keyword and click on the page they want.
With Yoogli, users no longer waste time browsing. The website helps users achieve more relevant and deeper search results – faster than ever before.
Semantic Search is the future of search technology and Yoogli is at the forefront!