New Benchmark Addresses RAG Systems' Real-World Deployment Gap

Researchers propose a multi-dimensional diagnostic framework to evaluate Retrieval-Augmented Generation systems in enterprise settings, identifying why models with high academic scores fail in practical deployment. The framework uses a four-axis difficulty taxonomy to diagnose weaknesses in reasoning complexity, retrieval difficulty, document structure, and explainability—factors existing benchmarks overlook.