Core Insights - The article explains how AI search engines provide intelligent answers by utilizing natural language processing and knowledge graphs to understand queries and retrieve relevant information [4]. Group 1: AI Search Functionality - AI must first "understand" the user's question, similar to human conversation, which relies on natural language processing technology [4]. - After understanding the question, AI identifies where the answers are located, utilizing a knowledge graph that connects various entities and their relationships [4]. - The AI then employs intelligent retrieval and matching techniques to extract the most relevant content from vast amounts of data, improving the accuracy of search results [4]. Group 2: Process of AI Answer Generation - The process of generating answers involves four steps: understanding the question, locating the right information, selecting the relevant content, and articulating the answer clearly [4]. - For straightforward queries, AI can directly pull information from the knowledge graph, while for more complex questions, it organizes and explains various methods in an understandable manner [4]. - Companies like Ningxia Yishan Network Technology Co., Ltd. help businesses organize their information and enhance their visibility in AI searches, aligning with the described AI functionality [4].