Research Article: Adaptive Vector Quantization for Multimodal Retrieval

research-article
Received: Dec 5, 2022
Published: Dec 31, 2022
Authors: Nathan Brown ✉

Abstract

We present adaptive quantization layers that dynamically compress multimodal embeddings for retrieval systems, yielding 15% smaller indexes with equivalent recall.

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Brown, N. (2022). Research Article: Adaptive Vector Quantization for Multimodal Retrieval. Research Explorations in Global Knowledge & Technology (REGKT), 1 (11). Retrieved from https://regkt.com/article.php?id=656&slug=adaptive-vector-quantization-for-multimodal-retrieval

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