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Let me start with our breakthrough results that demonstrate the effectiveness of our approach. Our BlockRAGFold-CYP system achieves a remarkable 35.9% improvement over standard LLM-based RAG systems, a 73.2% improvement over the BM25 baseline, and a 6.7% improvement over the state-of-the-art D-CyPre system. When we break down the component contributions, we see that biology-aware chunking contributes 31.3% to the overall performance, hybrid retrieval adds 28.9%, geometric embeddings contribute 26.5%, and AlphaFold structures provide 13.3%. The significance of these results is profound - weve achieved state-of-the-art performance while maintaining interpretable structural insights. This is the first system to successfully combine retrieval accuracy with biological interpretability, making it practical for real-world pharmaceutical applications. |
IEEE/ICACT20260263 Slide.03
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