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Milvus
About Milvus
Milvus는 확장 가능한 유사성 검색과 AI 애플리케이션을 위해 구축된 오픈소스 벡터 데이터베이스입니다. 기업 AI 워크로드를 위해 높은 처리량과 낮은 지연 시간으로 수십억 개의 벡터를 처리합니다.
Tags
#벡터 데이터베이스#오픈소스#확장 가능한#기업급
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Milvus Core Features
High-Performance Vector Search — Milvus is optimized for similarity search on billions of vectors, delivering millisecond-level latency and high throughput, making it ideal for real-time AI applications.
Scalable Architecture — Designed with a cloud-native, distributed architecture that allows horizontal scaling of storage and compute resources, ensuring seamless growth from prototype to production.
Multiple Index Types — Supports a variety of indexing algorithms (e.g., IVF, HNSW, DiskANN) to balance speed, accuracy, and memory usage, enabling fine-tuning for specific use cases.
Hybrid Search — Combines vector similarity with scalar filtering and full-text search, allowing complex queries that meet both semantic and exact-match requirements.
Rich SDKs and APIs — Provides official SDKs for Python, Java, Go, Node.js, and RESTful APIs, making integration with existing AI pipelines straightforward.
Data Management and Persistence — Offers robust data insertion, deletion, and update capabilities with durable storage, ensuring data integrity and availability.
Observability and Monitoring — Includes built-in metrics, logging, and tracing features, plus integration with Prometheus and Grafana for production-grade monitoring.
Milvus Subscription Plan
Open Source (Community)
Free
- Full-featured vector database
- Self-hosted deployment
- Community support
- Access to all core features
Zilliz Cloud (Managed)
Pay-as-you-go (check official pricing)
- Fully managed service
- Automatic scaling and backups
- SLA and enterprise support
- Advanced security and compliance
