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Milvus

Open-source vector database for GenAI applications, offering high-speed similarity search and scalability up to billions of vectors.

Introduction

Milvus Vector Database

Milvus is a high-performance, open-source vector database specifically designed for GenAI applications and large-scale similarity search operations. It offers three deployment options:

Key Features
  • Flexible Deployment: From lightweight Milvus Lite for prototyping to distributed deployment for production
  • Scalability: Handles billions of vectors with minimal performance loss
  • Easy Integration: Compatible with popular AI development tools
  • Multiple Search Types: Supports RAG, image search, multimodal search, and hybrid search capabilities
Use Cases
  • Retrieval Augmented Generation (RAG)
  • Image similarity search
  • Large-scale vector similarity search
  • Machine learning and deep learning applications
  • Recommendation systems
Technical Implementation
  • Python client library with simple API
  • Supports both standalone and distributed architectures
  • Available as self-hosted or fully managed cloud service (Zilliz Cloud)
  • Optimized for high-dimensional vector operations

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