Milvus
A high-performance, cloud-native vector database built for scalable approximate nearest neighbor (ANN) search.
What is Milvus?
Milvus is a purpose-built, high-performance vector database designed to power AI applications by efficiently organizing and searching vast amounts of unstructured data like text, images, and multi-modal information. It solves the problem of performing fast similarity searches on billions of vector embeddings at scale, which is essential for modern semantic search, retrieval-augmented generation (RAG), and recommendation systems. Its cloud-native, distributed architecture separates compute and storage to enable horizontal scaling and high availability.
AI developers and engineers building production-scale applications that require semantic search, such as RAG systems, recommendation engines, and multi-modal search platforms. It is also suited for enterprises needing a secure, multi-tenant vector database with enterprise-grade reliability.
Developers choose Milvus for its production-ready, scalable architecture that can handle billions of vectors and tens of thousands of queries, its support for hybrid search combining dense vectors, sparse vectors, and metadata filtering, and its enterprise features like mandatory authentication, TLS encryption, and RBAC. Its flexibility in deployment, from lightweight local instances (Milvus Lite) to fully managed cloud services, provides a unique balance of performance and operational ease.
Overview
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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