The High-Performance
Vector Database Built for Scale
Milvus is an open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors with minimal performance loss.
Start running Milvus in seconds
from pymilvus import MilvusClient
client = MilvusClient("milvus_demo.db")
client.create_collection(
collection_name="demo_collection",
dimension=5
)Deployment Options to Match Your Unique Journey
Milvus Lite
Lightweight, easy to start
- VectorDB-as-a-library runs in notebooks/ laptops with a pip install
- Best for learning and prototyping
Milvus Standalone
Robust, single-machine deployment
- Complete vector database for production or testing
- Ideal for datasets with up to millions of vectors
Milvus Distributed
Scalable, enterprise-grade solution
- Highly reliable and distributed vector database with comprehensive toolkit
- Scale horizontally to handle billions of vectors
- Try Free
Zilliz Cloud (fully managed Milvus)
Hassle-free and 10x faster than Milvus
- Available in both serverless and dedicated cluster
- SaaS and BYOC options for different security and compliance requirements
Learn more about different Milvus deployment models
Plays nicely with all your favorite AI tools
Start building your GenAI app now
Guided with notebooks developed by us and our community
Loved by GenAI developers
Based on our research, Milvus was selected as the vector database of choice (over Chroma and Pinecone). Milvus is an open-source vector database designed specifically for similarity search on massive datasets of high-dimensional vectors.
Senior Data Scientist
With its focus on efficient vector similarity search, Milvus empowers you to build robust and scalable image retrieval systems. Whether you’re managing a personal photo library or developing a commercial image search application, Milvus offers a powerful foundation for unlocking the hidden potential within your image collections.
Senior Solution Architect
Milvus is a powerful vector database tailored for processing and searching extensive vector data. It stands out for its high performance and scalability, rendering it perfect for machine learning, deep learning, similarity search tasks, and recommendation systems.
Big Data Architect
Trusted for production workloads
Trusted for production workloads
Unstructured Data Meetups
Join a Community of Passionate Developers and Engineers Dedicated to Gen AI.
Why Developers Prefer Milvus for Vector Databases
Scale as needed
Elastic scaling to tens of billions of vectors with distributed architecture.
Blazing fast
Retrieve data quickly and accurately with Global Index, regardless of scale.
Reusable Code
Write once, and deploy with one line of code into the production environment.
Supportive Community
Fan-favorite vector database with extensive resources and supportive contributors.
Feature-rich
Metadata filtering, hybrid search, multi-vector and more.
Want to learn more about Milvus? View our documentation