Dimensions overall score 8.0

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• Orion-RAG uses a low-complexity strategy to extract lightweight paths that naturally link related concepts in fragmented data.method 90%
• Orion-RAG transforms fragmented documents into semi-structured data, enabling effective linking of information across different files.result 85%
• Orion-RAG consistently outperforms mainstream RAG frameworks across diverse domains.result 80%
• Orion-RAG achieves a 25.2% relative improvement in precision over strong baselines on FinanceBench.result 95%
• Orion-RAG supports real-time updates and explicit Human-in-the-Loop verification with high cost-efficiency.technical 85%
• Standard search engines process files independently, ignoring connections between them, which is a limitation Orion-RAG addresses.limitation 80%
• Manually building Knowledge Graphs is impractical for vast, fragmented data, which Orion-RAG avoids.limitation 75%

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