You are looking at the documentation of a prior release. To read the documentation of the latest release, please
visit here.
New to KubeDB? Please start here.
Overview
Milvus is an open-source vector database built to power embedding similarity search and AI applications. It stores, indexes, and queries billions of high-dimensional vectors, making it a core building block for retrieval-augmented generation, recommendation, and semantic search workloads. KubeDB can provision Milvus in both standalone and distributed topologies, using object storage for segments/logs and etcd for metadata.
Supported Milvus Features
| Features | Availability |
|---|---|
| Standalone & Distributed topologies | ✓ |
| External object storage support | ✓ |
| KubeDB-managed or externally managed etcd metadata storage | ✓ |
| Custom Configuration | ✓ |
| Monitoring using Prometheus and Grafana | ✓ |
| Authentication & Authorization (TLS) | ✓ |
| Externally manageable Auth Secret (Rotate Auth) | ✓ |
| Persistent volume | ✓ |
| Automated Vertical & Horizontal Scaling | ✓ |
| Automated Volume Expansion | ✓ |
| Storage Migration (StorageClass to StorageClass) | ✓ |
| Autoscaling ( Compute resources & Storage ) | ✓ |
| Reconfigurable TLS Certificates (Add, Remove, Rotate, Update) | ✓ |
| Automated Version Update | ✓ |
| Automated Restart | ✓ |
Supported Milvus Versions
KubeDB supports the following Milvus Versions.
2.6.72.6.92.6.11
User Guide
- Prepare Dependencies before running any Milvus example.
- Standalone Quickstart with KubeDB Operator.
- Distributed Quickstart with KubeDB Operator.
- Want to hack on KubeDB? Check our contribution guidelines.































