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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.

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#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

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