Milvus is an open-source, cloud-native vector database designed to store, index, and search massive volumes of embedding vectors generated by machine learning and neural models. It extends best-in-class ANN libraries (e.g., Faiss, NMSLIB, Annoy) to provide high-speed nearest neighbor search, real-time insertion and query, and indexing at large scale (tens of billions of vectors). Milvus supports production deployment patterns with high availability and on-demand scalability, offers SDKs for multiple languages, Kubernetes operator support for declarative cluster management, and ecosystem tools for migration, backup, and UI-based management. Its unique value is combining ANN performance with database features (partitions, collections, role management) to power GenAI scenarios like semantic search, RAG, and similarity search at scale.