cognitivetech/ollama-ebook-summary
LLM for Long Text Summary (Comprehensive Bulleted Notes)
Splits long documents (EPUB/PDF) into ~2000-token chunks optimized for LLM reasoning performance, then queries all chunks with identical prompts rather than selecting relevant passages like RAG systems do. Integrates with Ollama for local LLM inference and includes fine-tuned Mistral models for bulleted summaries, title generation, and configurable prompt templates for different extraction tasks (research arguments, educational questions, markdown formatting).
615 stars. No commits in the last 6 months.
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615
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48
Language
Python
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Last pushed
Jul 05, 2025
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