This pilot project presents the methodology for an AI-powered tool with which users can interactively engage with a knowledge base concerning the environmental risk factors for African Swine Fever. Specifically, this project describes a method that uses retrieval-augmented generation and large language models to answer user queries regarding this topic. This provides a valuable resource for researchers, veterinarians, and policymakers, and decreases the burden of manual data extraction.