Research about long text generation has been actively conducted with the advancement of large language models. However, generating long text that considers the unique philosophy within a small community, such as speeches used in graduation ceremonies or company inductions, remains challenging. The reason is that information and literature about prominent leaders in small communities are generally extremely limited compared to those about well-known prominent leaders. This study focuses on prominent leaders within small communities, such as university or company founders. It aims to generate speech scenarios that automatically share small communities’ unique philosophies. In this paper, we target Hachisaburo Hirao, the founder of our university, and extract sentences containing his philosophies from his diaries, lectures, and autobiographies to create a quotations database. We then propose a method to generate speech scenarios based on the user’s input theme using Retrieval-Augmented Generation (RAG) with the quotations database.