cognitivetech/ollama-ebook-summary
Python tool that uses local LLMs via Ollama to generate bulleted-note summaries of epub and PDF books.
Not currently ranked — collecting fresh signals.
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This project extracts content from ebooks (epub, PDF) and splits them into ~2000 token chunks to maximize LLM reasoning performance on long texts. Rather than using RAG-style retrieval, it applies the same summarization prompts to every document segment, aggregating the results into comprehensive bulleted summaries. It integrates with Ollama for local LLM inference or HuggingFace models.
Frequently asked
- What is cognitivetech/ollama-ebook-summary?
- Python tool that uses local LLMs via Ollama to generate bulleted-note summaries of epub and PDF books.
- Is ollama-ebook-summary open source?
- Yes — cognitivetech/ollama-ebook-summary is an open-source project tracked on heatdrop.
- What language is ollama-ebook-summary written in?
- cognitivetech/ollama-ebook-summary is primarily written in Python.
- How popular is ollama-ebook-summary?
- cognitivetech/ollama-ebook-summary has 624 stars on GitHub.
- Where can I find ollama-ebook-summary?
- cognitivetech/ollama-ebook-summary is on GitHub at https://github.com/cognitivetech/ollama-ebook-summary.