"The big model application also has a search function and answers questions more systematically, but the content is slightly monotonous." On March 28th, Ms. Luo from Wuhan, Hubei Province, recommended by a friend, installed a big model client with a search function, and the user experience was decent. Currently, with the continuous development of artificial intelligence technology, "artificial intelligence+search engine" has become a new track, and major manufacturers are rushing in. Technology giants such as Google and Microsoft have entered the market, and Spanish media have also published articles exploring the relationship between search engines and artificial intelligence. Will artificial intelligence replace traditional search engines? What are the differences in technical principles between the two, and will they "complement each other" or "face each other in battle" in the future? Robin Lee, the founder, chairman and CEO of Baidu, the "spoiler" in the search engine industry, said that at present, more and more searches will directly provide answers, rather than giving users a large number of links to find the correct answers themselves, as in the past. In his view, search is essentially an artificial intelligence problem. "The reason for this is that when people make a request or express interest in words, the computer will speculate on the user's intention to provide relevant answers. This is the essence of artificial intelligence, that is, let the computer understand and serve human beings." Robin Lee explained. "There are various ways to optimize search engines through artificial intelligence. Currently, the big language model is the best way to improve user search experience, with huge development potential." Professor Ma Xiujun, Vice Dean of the Wuhan Institute of Artificial Intelligence at Peking University, pointed out that from the demand side, users' basic demands for search engines are first "real+accurate+comprehensive", and then "easy to use+fast". Traditional search engines represented by Baidu and Google are full-text search engines. They build a database by extracting the text information of each website from the Internet, then retrieve the records matching the user's query conditions from this database, and feed back these records to users in a certain order. From the source of the search results, the full-text search engine has its own search program, and the search results are directly called from its own database. Simply put, after receiving a search request, the search engine needs to search for pre crawled and pre made indexes, display them after matching and sorting, and then have the user complete the necessary reading filtering. Ma Xiujun introduced that in contrast, search engines based on large models have different search and presentation methods compared to full-text search engines. With the support of the big model, search engines can achieve "problem analysis - whole network search - organizing answers - intelligent presentation". Another technological route of "artificial intelligence+search engines" is the answering of questions by ChatGPT chatbots. This route is based on pre trained models and machine learned content, some of which may be outdated and therefore need to be combined with full network search engine technology. The best partners may coexist for a long time. Currently, a strong wave of new technological revolution represented by artificial intelligence is coming, and search engine companies are pouring resources into long-term battles. These enterprises have abundant computing power, data, algorithms, and talent resources, thus they have a huge advantage in terms of core competitiveness