Agentic AI时代，向量数据库成“必选项”

Core Insights - The emergence of Agentic AI is driving a fundamental shift in the database industry, necessitating the transition from traditional databases to vector databases as essential infrastructure for AI applications [1][3][9]. Group 1: Market Trends and Predictions - Gartner predicts that the market for Agentic AI will exceed $100 billion by 2025, with a compound annual growth rate (CAGR) of over 65% [2]. - By 2028, spending on databases supporting generative AI is expected to reach $218 billion, accounting for 74% of the market [3]. Group 2: Requirements for Vector Databases - Agentic AI introduces four rigid demands on underlying databases: enhanced read/write performance, personalized data storage, cost-performance balance, and multi-modal processing capabilities [5][6][7]. - The frequency of read/write operations in Agentic AI applications is significantly higher than in traditional retrieval-augmented generation (RAG) scenarios, necessitating optimizations in database performance [5]. Group 3: Role of Vector Databases - Vector databases are becoming the core component for Agentic AI, providing efficient retrieval of semantic similarities and managing vast amounts of unstructured data [9][10]. - The core value of vector databases lies in their ability to store and retrieve high-dimensional vectors generated from unstructured data, which is essential for the functioning of Agentic AI [9]. Group 4: Zilliz's Position and Offerings - Zilliz, as a pioneer in vector databases, has developed Milvus, an open-source vector database that supports high-performance read/write operations and can handle billions of vectors [3][12]. - Zilliz Cloud, the commercial version of Milvus, offers a seamless transition for users from the open-source version, allowing for flexible deployment and scalability [12][15]. Group 5: Collaboration with Cloud Providers - Zilliz has partnered with Amazon Web Services (AWS) to leverage cloud-native architecture, enhancing the performance and scalability of its vector database solutions [13][14]. - The collaboration with AWS allows Zilliz to provide optimized solutions that meet diverse user needs, contributing to a significant market presence in the cloud database sector [15][16].