ollama-ebook-summary is a project that utilizes large language models (LLM) to create key point summaries for long texts. This project is particularly suitable for books in epub and pdf formats, automating the extraction of chapters and splitting them into manageable chunks of approximately 2000 tokens to enhance response granularity. The product's background stems from the creator's desire to swiftly summarize a range of books to integrate psychological theories and practices, forming a coherent argument based on this information. The main advantages of this tool include increased efficiency in content organization, support for custom query questions, and the generation of detailed summaries for each text section.