Welcome to Milvus Docs!
Here you will learn about what Milvus is, and how to install, use, and deploy Milvus to build an application according to your business need.
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Install Milvus
Learn how to install Milvus using either Docker Compose or on Kubernetes.
Quick Start
Learn how to quickly run Milvus with sample code.
Bootcamp
Learn how to build vector similarity search applications with Milvus.
Recommended articles
Deploy
What’s new in docs
June 2025 - Milvus 2.6.0 release
- Added guidance on how to use embedding function.
- Added guidance on how to use decay ranker.
- Added guidance on how to add fields to an existing collection.
- Added guidance on how to perform phrase match.
- Added descriptions of IVF_RABITQ index.
Blog
Engineering
How to Cut Vector Database Costs by Up to 80%: A Practical Milvus Optimization Guide
Milvus is free, but the infrastructure isn't. Learn how to reduce vector database memory costs by 60-80% with better indexes, MMap, and tiered storage.
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