Milvus एक ओपन-सोर्स वेक्टर डेटाबेस है जो स्केलेबल समानता खोज और AI अनुप्रयोगों के लिए बनाया गया है। उद्यम AI कार्यभार के लिए उच्च थ्रूपुट और कम विलंबता के साथ अरबों वेक्टरों को संभालें।
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2026-08-01 - 2026-08-31
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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.