Milvus
Milvus is an open-source vector database built for scalable similarity search, designed to support diverse AI applications with high-performance vector search capabilities. It is specifically designed to handle the growing demand for vector search in AI and machine learning applications.
Key Characteristics
- Open Source: Fully open-source vector database
- Scalable Search: Designed for scalable similarity search
- AI-Optimized: Optimized for AI and ML workloads
- Hybrid Search: Supports both vector and attribute filtering
Advantages
- Performance: High-performance vector search
- Scalability: Scales horizontally with demand
- Flexibility: Supports multiple similarity metrics
- Open Source: Free and open-source solution
Disadvantages
- Maturity: Relatively new technology
- Learning Curve: Requires understanding of vector concepts
- Ecosystem: Smaller ecosystem than established databases
- Complexity: Complex for simple use cases
Best Practices
- Choose appropriate indexing strategies
- Monitor performance and resource usage
- Optimize for your specific similarity metrics
- Plan for data growth and scaling
Use Cases
- Semantic search applications
- Recommendation engines
- Image and video retrieval
- Natural language processing applications