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FrankS-IntelLab / libreintel

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Your intelligent reading & research companion — a Chrome/Edge extension that lets you capture text from any webpage or PDF, build exploration trees, and chat with AI to deepen your understanding. Full LaTeX math rendering and Mermaid flowchart export included.

chrome-extension vanilla-js research-tool browser-extension katex pdf-reader mermaid concept-map knowledge-tree voice-input study-assistant manifest-v3 markdown-export ai-chat text-capture
  • Updated Apr 18, 2026
  • JavaScript

tk-yasuno / treg-raptor-tree

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Treg免疫細胞系譜を例に、RAPTORアルゴリズムを実装したGPU加速対応のRAG（Retrieval-Augmented Generation）システムです。実際に、5ノードから14ノードを実現しました。

gpu-acceleration immunology raptor document-retrieval hierarchical-clustering biomedical-text-mining literature-mining rag knowledge-tree treg biomedical-nlp retrieval-augmented-generation topic-hierarchy agentic-ai hierarchical-rag domain-specific-rag regulatory-t-cells knowledge-structuring
  • Updated Nov 2, 2025
  • Python

tk-yasuno / tsunami-lesson-rag

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An advanced RAG (Retrieval-Augmented Generation) system using RAPTOR algorithm to hierarchically organize and retrieve lessons from the 2011 Great East Japan Earthquake and Tsunami for educational purposes.

raptor document-retrieval educational-resources tsunami rag knowledge-tree long-context retrieval-augmented-generation knowledge-preservation llm-summarization disaster-knowledge-base hadr-ai domain-specific-rag hierarchical-retrieval great-east-japan-earthquake disaster-lessons disaster-education disaster-information-management learning-support
  • Updated Oct 20, 2025
  • HTML

tk-yasuno / cluster-rag-raptor

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🌳 Open-source RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval - Complete open-source implementation with 100% local LLMs (Granite Code 8B + mxbai-embed-large)

embedding-models raptor document-retrieval rag knowledge-tree local-llm retrieval-augmented-generation open-source-llm open-source-ai llm-integration granite-code self-hosted-ai domain-specific-rag hierarchical-retrieval recursive-processing mxbai-embed-large
  • Updated Oct 18, 2025
  • Python

tk-yasuno / multimodal-raptor-colvbert-blip

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Multimodal RAPTOR for Disaster Documents using ColVBERT & BLIP. Hierarchical retrieval system over 46 tsunami-related PDFs (2378 pages), combining BLIP-based image captioning, ColVBERT embeddings, and GPT-OSS-20b long-context summarization. Optimized for fast multimodal tree construction and disaster knowledge preservation.

image-captioning embedding-models raptor document-retrieval blip tsunami multimodal-retrieval knowledge-tree pdf-processing colbert long-context knowledge-preservation vision-language-models multimodal-rag llm-summarization disaster-knowledge-base hadr-ai domain-specific-rag hierarchical-retrieval disaster-documents
  • Updated Jan 18, 2026
  • Python

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