Overview
Milvus is a high-performance, open-source vector database specifically engineered to support GenAI applications by enabling efficient similarity search and vector storage at massive scales. Built to handle tens of billions of vectors with minimal performance degradation, Milvus provides developers with a robust platform for advanced AI and machine learning workloads.
Key Features
- Elastic scaling to billions of vectors
- Distributed architecture supporting horizontal scaling
- High-speed vector retrieval with Global Index
- Comprehensive metadata filtering
- Support for multi-vector and hybrid search
- Seamless integration with popular AI tools (LangChain, LlamaIndex, OpenAI)
- Multiple deployment options (Lite, Standalone, Distributed)
Use Cases
- Retrieval-Augmented Generation (RAG)
- Image and multimodal search
- Recommendation systems
- Semantic search
- Machine learning model embedding storage
- Complex similarity matching across high-dimensional datasets
Technical Specifications
- Open-source vector database
- Supports pip installation
- Compatible with Python
- Scalable from notebook/laptop to enterprise environments
- Handles high-dimensional vector searches
- Supports various vector dimensions and data types
