Andre Bacellar

Dense RAG misses critical "superseding" documents in authority-governed domains, leading GPT-4o-mini to generate false claims 39% of the time, a problem fixable with a two-stage retrieval approach.

Stop letting mismatched score distributions sink your multi-hop QA: calibrating vector and graph retrieval scores with percentile-rank normalization yields statistically significant gains.