What is Milvus?
Graduate ProjectMilvus is an open-source vector database built to handle billions of vectors and powers the largest AI applications in the world.
Built on a vibrant and growing community
34K+
GitHub stars
4,000+
Community
68M+
Downloads
300+
Contributors
How does Milvus work?
Coordinator ServicesOrchestrate load balancing and data management through coordinators, ensuring efficient data, query, and index management.
- Access Layer
Handles external requests using stateless proxies to manage connections, perform verifications, and balance load.
- Worker Nodes
Executes tasks as scalable pods by implementing coordinator commands, enabling dynamic adjustment for changing data, query, and indexing demands.
- Storage Layer
Ensures data persistence through three components: meta stores, log brokers and object storage.
Why Milvus?
Milvus is a cloud-native, open-source vector database powering Zilliz.
Scale as needed
Handles billions of vectors through its distributed architecture, separating storage and compute. Its microservice design allows scaling specific functions, optimizing resource use as you grow.
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High Performance
Milvus offers diverse index types (HNSW, DiskANN, Quantization, Binary, etc.) and hardware-optimized designs for both CPU and GPU. This ensures fast vector retrieval with high recall across various use cases.
Benchmark
Full Lifecycle Support
Milvus offers three deployment models with a unified API: Lite for prototyping, Standalone for testing and small-scale production, and Distributed for large-scale production—enabling seamless scaling without code rewrites.
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Feature Rich
Supports multiple search types (top-K & Range ANN, sparse & dense, multi-vector, grouping), metadata filtering, and multi-tenancy. It includes admin tools and integrates with various AI tools and models.
Explore Milvus Notebooks
When it comes to vector databases, Milvus has impressed us with its performance and scalability, meeting our stringent criteria for handling our AI use case backlog."
Team Lead
AI, ML, and Platform Solutions
When we identify a need for specific data, we can often find the required data in our database the same day using text or image search with Milvus. This greatly improves our data processing efficiency and has a positive effect on our business operations."
Mr. Zhang
BOSCH’s principal software engineer
I really like how Milvus' hybrid search allowed me to blend semantic and keyword search, which is crucial in a domain as technical and complex as EU policy."
Alessandro Saccoia
Co-Founder @ Veridien.ai
Milvus is renowned as one of the most advanced vector database platforms for AI applications. Rakuten Symphony engineers identified the Milvus Vector Database - an open source database which is horizontally scalable - as their platform of choice for LLM use and developing and maintaining AI applications."
Rakuten Symphony Engineering Team
During batch ingestion tests, Milvus demonstrated that it could complete an entire collection dump into the database at speeds 5–10 times faster than competitors."
Team Lead
AI, ML, and Platform Solutions
When it comes to vector databases, Milvus has impressed us with its performance and scalability, meeting our stringent criteria for handling our AI use case backlog."
Team Lead
AI, ML, and Platform Solutions
When we identify a need for specific data, we can often find the required data in our database the same day using text or image search with Milvus. This greatly improves our data processing efficiency and has a positive effect on our business operations."
Mr. Zhang
BOSCH’s principal software engineer
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