llm-ebook-summary
The project offers an automated solution for creating detailed summaries of e-books, concentrating on epub and pdf formats with Table of Contents metadata. It divides the text into approximately 2000-token sections, improving the granularity and accuracy of summaries. This method allows for specific queries on different parts of a text, contrasting with systems like Retrieval Augmented Generation by applying consistent questions across all segments. The tool maximizes LLM capabilities efficiently, without the need for additional third-party applications, and features seamless integration with Python 3.11.9.
