Abstract: At present, the agricultural information services mainly focus on on-site guidance of agricultural experts, telephone consultation and information technology teaching lectures, which lack convenience and real-time performance due to the constraints of time and space and human capital. The system used Python to collect disease information and question answering data on the Internet. After standardization and named entity recognition, the system generated a triplet of "animal species-disease name-treatment method", and imported Neo4j to establish an animal disease knowledge graph to realize intelligent question answering system of animal diseases on WeChat. The system completed short text question answering and accurate information search functions in the field of animal diseases, and was applied in the field of animal disease prevention and management. It provided an intelligent solution for animal disease question answering, which had efficient practical application value.