Research Article: Multi-Vector Indexes for Hybrid Reranking

research-article
Received: Oct 14, 2024
Published: Nov 10, 2024
Authors: Sofia Lee ✉ Elijah White Raj Clark

Abstract

We introduce multi-vector compound indexes that accelerate dense+lexical reranking, cutting latency 12% at fixed NDCG on two web corpora.

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Lee, S., White, E., & Clark, R. (2024). Research Article: Multi-Vector Indexes for Hybrid Reranking. Research Explorations in Global Knowledge & Technology (REGKT), 3 (10). Retrieved from https://regkt.com/article.php?id=286&slug=multi-vector-indexes-for-hybrid-reranking

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