Scaling Retrieval Latency and Answer Quality Trade-offs in Retrieval-Augmented Generation Systems

Abstract

Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: How does the trade-off between retrieval latency and answer quality scale with different retrieval-augmentation strategies (e.g., RGAR vs. standard RAG) on large-scale question-answering benchmarks. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

How does the trade-off between retrieval latency and answer quality scale with different retrieval-augmentation strategies (e.g., RGAR vs. standard RAG) on large-scale question-answering benchmarks like NaturalQuestions or TriviaQA?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance