Milvus
An open-source vector database built for scalable similarity search and AI applications. Milvus supports billion-scale vector search with high performance, offering both standalone and distributed deployment modes. It provides multiple index types (IVF, HNSW, DiskANN) and supports hybrid search combining vectors with scalar filtering.
Implements
Concepts this tool claims to implement:
- Vector Search primary
Core vector similarity search with support for L2, IP, COSINE metrics. Multiple index types including IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, DiskANN. Billion-scale vector search with distributed architecture.
- Hybrid Search primary
Supports combining vector similarity with scalar attribute filtering. Boolean expressions for metadata filtering during search.
- Embedding secondary
Stores and indexes embedding vectors. Does not generate embeddings directly but integrates with embedding providers.
Integration Surfaces
Details
- Vendor
- Zilliz
- License
- Apache-2.0
- Runs On
- local, cloud, hybrid
- Used By
- human, agent, system
Links
Notes
Milvus is designed for production-scale vector search workloads. Zilliz Cloud offers a fully managed version. The standalone mode is suitable for smaller deployments while the distributed mode handles billions of vectors.