Currently, the surge in Internet users across the globe has led to a surge in the linguistic diversity of online information resources. In this vast information environment, cross-lingual information retrieval has become a central theme in academic research. At the same time, automated Q&A technology is at the forefront of natural language processing, providing intelligent and progressive solutions for information retrieval. In the field of Q&A information retrieval, the operation of the system consists of three key stages: in-depth examination of the question, followed by comprehensive information exploration, and finally the refinement of key information through answers. The research focuses on the knowledge search of different language Q&A, aiming to remove language barriers for users and promote seamless multilingual communication. The system is designed to meet the challenges posed by the information explosion and is committed to providing users with efficient information extraction tools to improve search performance in complex multilingual environments.