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tk-yasuno / agentic-retrieval-strategy

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Retrieval-Augmented Generation (RAG) systems with Agentic capabilities, featuring multi-strategy search, confidence evaluation, and autonomous process control.

information-retrieval uncertainty-estimation autonomous-agents rag pipeline-automation answer-validation hybrid-retrieval retrieval-augmented-generation llm-orchestration agentic-rag agentic-ai reasoning-ai domain-specific-rag process-control-ai multi-strategy-search confidence-evaluation decision-support-ai
  • Updated Sep 27, 2025
  • Python

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 / selective-rag-kasensabo

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建設の技術基準に関する質問の専門性粒度（細かい/粗い）を96%正確に自動判定し、最適なRAGシステム（ColBERT/Naive）を選択する実用的なAgentic RAGシステムのMVPです。2025年11月に公開された河川砂防ダムの技術基準を対象に４つのRAGシステムを構築し、専門性の粒度が異なる200問の質問に対して、精度と速度を比較した。

erosion-control document-retrieval rag river-engineering colbert dam-engineering flood-control technical-standards retrieval-augmented-generation agentic-rag agentic-ai infrastructure-resilience rag-benchmarks query-granularity rag-selection hadr-ai domain-specific-rag civil-engineering-ai granularity-classification construction-standards
  • Updated Nov 11, 2025
  • Python

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
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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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