Milvus#
| Chart Name | Version | App version |
|---|---|---|
| milvus | 5.0.14 | 2.6.11 |
Milvus is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information.
Written in Go and C++, Milvus implements hardware accelaration for CPU/GPU to achieve best-in-class vector search performance. Thanks to
its fully-distributed and K8s-native architecture, Milvus can scale
horizontally, handle tens of thousands of search queries on billions of vectors, and keep data fresh with real-time streaming updates. Milvus
also supports Standalone mode for single machine deployment.
Milvus Lite is a lightweight version good for quickstart in python with pip install.
Want to use Milvus with zero setup? Try out Zilliz Cloud for free. Milvus is available as a fully managed service on Zilliz Cloud, with Serverless, Dedicated and BYOC options available.
For questions about how to use Milvus, join the community on Discord to get help. For reporting problems, file bugs and feature requests in GitHub Issues or ask in Discussions.
The Milvus open-source project is under LF AI & Data Foundation, distributed with Apache 2.0 License, with Zilliz as its major contributor.
Prerequisites#
Deploy k0rdent v1.4.0: QuickStart
Install template to k0rdent#
helm upgrade --install milvus oci://ghcr.io/k0rdent/catalog/charts/kgst --set "chart=milvus:5.0.14" -n kcm-system
Verify service template#
Deploy service template#
apiVersion: k0rdent.mirantis.com/v1beta1
kind: MultiClusterService
metadata:
name: milvus
spec:
clusterSelector:
matchLabels:
group: demo
serviceSpec:
services:
- template: milvus-5-0-14
name: milvus
namespace: milvus
values: |
milvus:
image:
all:
tag: v2.6.0
cluster:
enabled: false
pulsarv3:
enabled: false
standalone:
messageQueue: woodpecker
woodpecker:
enabled: true
streaming:
enabled: true