Milvus Systemeigenschaften

• Highly available, versatile, and robust with millisecond latency.
• Supports batch and stream data processing in real time.
  
• Supports flexible scaling of each component by using Kubernetes to manage its execution engine and separating read, write and other services with microservices.
• Supports Time Travel with distributed logging.
• Supports heterogenous computing, which includes support for different types of hardware (CPU, GPU, FPGA, MLU) and instruction sets.
  
• Supported by Rich APIs (Python, Node.js, Go, etc.) and tools (Milvus CLI, Attu, etc.) to facilitate DevOps.
• Supports high performance ANN algorithms like FAISS，HNSW，ANNOY, etc.

• RAG: retrieval augmented generation
• Video media: video understanding, video deduplication.
• E-commerce and mobile applications: image understanding, reverse image search.
• Finance/Telecommunications/Retail: AI-aided customer support, QA chatbots.
• Internet: personalized recommender systems, personalized search.
• Autonomous vehicles: automated data labeling and annotation, object detection.
• Biopharmaceutical: virtual compound screening, compound retrosynthetic analysis, protein property prediction, and DNA testing.
• Cybersecurity: malware detection and cyberattack alert.
• Quantitative trading: data analysis and prediction.
• Metaverse: environmental perception and interaction in virtual world.

See more in Milvus Bootcamp.

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• 10M+ downloads and installations​​
  
• 3k+ enterprise adopters