Year: 2025
Type: article
Abstract: In the context of the big data era, vector databases play an important role in processing large-scale and complex data. This article explores how to enhance the performance of vector databases through algorithm improvements. Focus on optimizing algorithm adaptability, improving index structure, introducing multi-level indexing and parallel processing technology, and enhancing the scalability of high-dimensional data processing. By deeply analyzing the current technological situation and proposing targeted optimization measures, a complete set of optimization solutions is aimed at improving database retrieval efficiency and data processing capabilities. These strategies can effectively address the challenges in high-dimensional data processing, improve the overall performance of databases, and provide more efficient support for big data application scenarios.
Source: Scientific Journal of Technology
DOI: 10.54691/eacstn55
Author: Zhongqi Zhu
Institution: Meta (United States)
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407848143