Frustrated with New Data? Our Vector Database can Help

This post introduces Milvus as an AI-oriented general-purpose vector database system designed to handle unstructured data. It discusses the challenges of traditional data analytics with unstructured data and the emergence of the vector data layer through embedding technology. The post details the major attributes of a vector database, including support for high-efficiency vector operators, vector indexing, consistent user experience, hybrid search, and cloud-native architecture. It then presents the Milvus 2.0 architecture, emphasizing 'log as data', unified batch and stream processing, stateless components, and microservices, with detailed explanations of data persistence through metadata, log, and object storage, and the role of the log broker in ensuring data reliability and decoupling components.