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Milvus is an open-source, highly scalable vector database purpose-built for handling massive-scale vector data generated by deep learning models. It is designed to store, index, and manage trillions of high-dimensional vectors, enabling efficient similarity search across diverse data types such as images, audio, text, and video embeddings.

Featuring a unique decoupled architecture, Milvus separates compute and storage, allowing components to scale independently to match workloads efficiently. It supports multiple indexing algorithms, including HNSW and IVF, ensuring rapid query processing and high throughput. Milvus is widely trusted by enterprise teams for constructing large-scale AI applications, processing complex machine learning workflows, and powering advanced multimodal search engines with exceptional reliability.