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
March 2026 - Milvus 2.6.x updates
- Added Milvus for AI Agents section with prompt guides.
- Added guidance on how to use Gemini embedding function.
- Added guidance on how to search by primary keys.
- Added guidance on how to use text highlighter in search results.
- Added descriptions of geometry field, timestamptz field, tiered storage, and array of structs.
Blog

Engineering
How to Choose the Best Embedding Model for RAG in 2026: 10 Models Benchmarked
We benchmarked 10 embedding models on cross-modal, cross-lingual, long-document, and dimension compression tasks. See which one fits your RAG pipeline.
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