Dimensionality Reduction Effects on MultiHop-RAG Retrieval and Answer Accuracy in HotpotQA

This report synthesises findings from 13 peer-reviewed papers addressing the following research question: How does reducing vector embedding dimensionality impact MultiHop-RAG retrieval recall and final answer accuracy on the HotpotQA dataset. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does reducing vector embedding dimensionality impact MultiHop-RAG retrieval recall and final answer accuracy on the HotpotQA dataset?

Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.