Explore the World of Retrieval Augmented Generation - A curated repository of top RAG tools, benchmarks, papers, and open-source code for innovators and researchers.
-
Updated
Jan 24, 2025 - Python
Explore the World of Retrieval Augmented Generation - A curated repository of top RAG tools, benchmarks, papers, and open-source code for innovators and researchers.
RepoMind AI is an intelligent development companion that eliminates the learning curve when jumping into unfamiliar GitHub repositories. By combining advanced AI analysis with actionable CLI commands, it transforms hours of repository exploration into minutes of productive understanding.
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。
Visual RAPTOR ColBERT Integration System - Multimodal document retrieval with SigLIP, PyMuPDF, and evaluation metrics.
Gemma3 RAG benchmark system for Japanese river/dam/erosion control technical standards.
Add a description, image, and links to the rag-benchmarks topic page so that developers can more easily learn about it.
To associate your repository with the rag-benchmarks topic, visit your repo's landing page and select "manage topics."