Jack Simon developed a LangChain-powered chatbot aimed at making information on rare medical conditions, such as appendiceal cancer, more accessible. This project, initiated during a hackathon at Williams College, addresses the challenges faced by patients with rare conditions, who often lack adequate resources and expert guidance. Traditional models like ChatGPT fall short in providing accurate information due to sparse data on rare conditions, but Simon's chatbot uses a retrieval-augmented generation (RAG) approach, which supplements AI with external documents like literature reviews and clinical trial data. This approach allows the chatbot to deliver more precise and comprehensive information, outperforming existing models on tasks requiring specific knowledge about rare conditions. The project serves as a proof of concept for using AI-driven applications to bridge the information gap in healthcare, with the vision of expanding the chatbot's database to cover a wide range of rare conditions, thereby empowering both patients and healthcare professionals.