概览
主要功能
- 分布式、云原生架构
- 支持多种ANN索引类型
- 使用标量过滤进行混合搜索
- Python、Java、Go 和 Node.js 的 SDK
- 支持 Kubernetes 和 Docker 部署
- 与 LangChain、LlamaIndex 和主要嵌入模型集成
价格
- 模型
- Freemium
- 分类
- 系统存市
- 评分
- 4.5 / 5 (4)
使用场景
为 LLM 应用程序构建 RAG 流水线
存储和检索嵌入，以为大型语言模型提供相关的背景，从而通过与 LangChain 和 LlamaIndex 等集成的方法启用检索增强生成。
在大规模环境下构建语义搜索
索引数十亿个高维向量以实现低延迟的语义搜索，跨文档、产品或知识库使用混合标量过滤
构建图像和视频检索系统
通过使用嵌入模型对大型多媒体库进行视觉相似性检索，用于媒体库、电子商务目录和内容监测
通过向量相似度实现推荐和异常检测
使用向量相似度将图像和文档推荐给个人用户或用来检测异常数据，以此来防止欺诈、安全和质量监测
优点 & 缺点
优点
- 开源且拥有活跃的大社区
- 支持数十亿个向量
- 多种索引类型和可调参数的性能
- 强大的 AI 和 ML 框架集成
- 支持 Kubernetes
缺点
- 初学者可能难以设置和调优
- 在大规模部署时需要 Kubernetes 知识
- 对资源要求很高
对决战绩
在万神殿中参与了 6 对决。
Last 5 battles
评测
4 个评分的平均值。
登录以留下评测。
Years in this space
I've evaluated a lot of these over the years. What stands out here is distributed, cloud-native architecture — handled better than most — and multiple index types and tunable performance. Operating at scale requires Kubernetes expertise is my one real gripe. Worth the time if this is your use case.
Compared a few options
Evaluated this against two competitors. Where it wins: integration with LangChain, LlamaIndex, and major embedding models and strong integrations with AI and ML frameworks. Where it lags: operating at scale requires Kubernetes expertise. On balance the feature set — especially distributed, cloud-native architecture — justifies the 4 stars for our use case.
Does the job
Pretty happy overall. Distributed, cloud-native architecture just works and open source with a large, active community. but no dealbreakers — I'd recommend it to a friend without hesitating.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on hybrid search with scalar filtering, and strong integrations with AI and ML frameworks caught me off guard. Resource-intensive for very large deployments is why this isn't a perfect score, still, I'd recommend giving it a real trial.
问答
Can Milvus handle large-scale data?
Yes, Milvus supports billions of vectors with low-latency queries, making it suitable for large-scale AI applications.
Asked by Willa Thompson · Nov 3, 2025
Does Milvus support popular AI frameworks?
Yes, Milvus integrates with popular AI frameworks and embedding models, and has SDKs for Python, Java, Go, and Node.js.
Asked by Lena Fischer · Oct 13, 2025
What are the deployment options?
Milvus can be deployed locally, on Kubernetes, or consumed as a managed service through Zilliz Cloud.
Asked by Ravi Kapoor · Sep 5, 2025
Is Milvus AI open-source?
Yes, Milvus AI is an open-source vector database.
Asked by Lindiwe Mahlangu · Aug 5, 2025
