Design and implementation of intelligent search assistant based on AIGC and RPA

With the rapid development of artificial intelligence technology, intelligent search assistant has become a key tool to improve the efficiency of information retrieval. This paper presents a design and implementation scheme of intelligent search assistant based on artificial intelligence-generated Content (AIGC) and robotic process automation (RPA). By integrating natural language processing (NLP) technology, the system realizes accurate understanding and intelligent analysis of user queries, and uses RPA technology to automate search tasks, which can quickly understand user query intentions and provide accurate search results. The experimental results show that the intelligent search assistant is superior to the traditional search tools in terms of information retrieval speed and accuracy, and provides users with an efficient means of information acquisition in the era of information explosion. It provides an efficient means of information acquisition for users in the era of information explosion.