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Accelerating Graph Indexing for ANNS on Modern CPUs
In high-dimensional vector spaces, Approximate Nearest Neighbor Search (ANNS) is a key component in database and artificial …
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Yifan Zhu, Wenchao Zhou
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An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user …
Mengzhao Wang, Haotian Wu, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Lu Chen
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Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment
High-dimensional vector similarity search (HVSS) is receiving a spotlight as a powerful tool for various data science and AI …
Mengzhao Wang, Weizhi Xu, Xiaomeng Yi, Songlin Wu, Zhangyang Peng, Xiangyu Ke, Yunjun Gao, Xiaoliang Xu, Rentong Guo, Charles Xie
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MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality
We investigate the problem of multimodal search of target modality, where the task involves enhancing a query in a specific target …
Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu
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An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
This paper introduces an efficient and robust framework for hybrid query (HQ) processing, which combines approximate nearest neighbor …
Mengzhao Wang, Lingwei Lv, Xiaoliang Xu, Yuxiang Wang, Qiang Yue, Jiongkang Ni
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A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation …
Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang
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