ArcNeural: A Multi-Modal Database for the Gen-AI Era
ArcNeural: A Multi-Modal Database for the Gen-AI Era
ArcNeural introduces a novel multimodal database tailored for the demands of Generative AI and Large Language Models, enabling efficient management of diverse data types such as graphs, vectors, and documents. Its storage-compute separated architecture integrates graph technology, advanced vector indexing, and transaction processing to support real-time analytics and AI-driven applications. Key features include a unified storage layer, adaptive edge collection in MemEngine, and seamless integration of transaction and analytical processing. Experimental evaluations demonstrate ArcNeural's superior performance and scalability compared to state-of-the-art systems. This system bridges structured and unstructured data management, offering a versatile solution for enterprise-grade AI applications. ArcNeural's design addresses the challenges of multimodal data processing, providing a robust framework for intelligent, data-driven solutions in the Gen AI era.
Wu Min、Qiao Yuncong、Yu Tan、Chenghu Yang
计算技术、计算机技术
Wu Min,Qiao Yuncong,Yu Tan,Chenghu Yang.ArcNeural: A Multi-Modal Database for the Gen-AI Era[EB/OL].(2025-06-11)[2025-06-23].https://arxiv.org/abs/2506.09467.点此复制
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