reader3 is a Python tool that demonstrates how to read books interactively with large language models.
The tool addresses the problem of engaging with book content through AI assistance. It provides a straightforward approach to feeding book text to language models, enabling collaborative reading where the LLM can help analyze, discuss, and explore the material alongside a human reader.
The project suits developers and researchers interested in experimenting with LLM-based reading workflows or building applications that combine document processing with language model capabilities. It works best for those exploring how AI can enhance comprehension and discussion of written works rather than those seeking a production-grade document management system.
Development activity on the project is minimal, with sparse commit history and infrequent updates to the codebase.
