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milvus

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Project Description

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

milvus: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Project Title

milvus — High-Performance, Cloud-Native Vector Database for Scalable Vector ANN Search

Overview

Milvus is a high-performance, cloud-native vector database designed for scalable vector Approximate Nearest Neighbor (ANN) search. It is built to efficiently organize and search vast amounts of unstructured data, such as text, images, and multi-modal information. Written in Go and C++, Milvus leverages hardware acceleration for CPU/GPU to achieve best-in-class vector search performance.

Key Features

  • Hardware acceleration for CPU/GPU
  • Fully-distributed and K8s-native architecture for horizontal scaling
  • Standalone mode for single machine deployment
  • Milvus Lite for quickstart in Python with pip install
  • Support for real-time streaming updates

Use Cases

  • AI applications requiring efficient organization and search of unstructured data
  • Applications needing to handle tens of thousands of search queries on billions of vectors
  • Use cases benefiting from real-time data updates and high scalability

Advantages

  • High vector search performance due to hardware acceleration
  • Scalability to handle large-scale data and query volumes
  • Flexibility with both standalone and distributed deployment options
  • Easy integration with Python applications through pymilvus SDK

Limitations / Considerations

  • May require significant resources for large-scale deployments
  • Learning curve for new users unfamiliar with vector databases or ANN search
  • Potentially complex setup and configuration for distributed environments

Similar / Related Projects

  • Faiss: A library for efficient similarity search and clustering of dense vectors, differs in that it is a library rather than a standalone database.
  • Elasticsearch: A search engine based on the Lucene library, which offers full-text search but is not specialized in vector search like Milvus.
  • Annoy: A library for approximate nearest neighbors written in C++, differs in that it is not a database and lacks the distributed capabilities of Milvus.

Basic Information


📊 Project Information

  • Project Name: milvus
  • GitHub URL: https://github.com/milvus-io/milvus
  • Programming Language: Go
  • ⭐ Stars: 36,980
  • 🍴 Forks: 3,371
  • 📅 Created: 2019-09-16
  • 🔄 Last Updated: 2025-09-05

🏷️ Project Topics

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📚 Documentation


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Project Information

Created on 9/16/2019
Updated on 9/8/2025