Decoupling retrieval quality from generative reasoning: A multi-dimensional benchmark of RAG architectures
The results demonstrate that retrieval quality acts as a rigid performance ceiling for generative correctness and suggest that for RAG applications, strategic database indexing is a more critical performance lever than embedding parameter scale: architectural retrieval decisions matter more than model size.