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Milvus

Milvus

Open-Source Vector Database for AI Applications

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Last Updated:10/24/2025
Pricing:
Free
Category:
Vector DatabasesOpen Source Databases
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What is Milvus

Milvus is a database specifically built to store and search vector embeddings. When you use AI models to process text, images, or other data, they create numerical vectors that represent the meaning of that data. Milvus organizes these vectors so you can quickly find similar items.

Unlike traditional databases that work with exact matches, Milvus excels at finding items that are similar in meaning. For example, it can find pictures that look alike or text passages with related concepts, even if the exact words are different.

The database is completely free and open source under Apache 2.0 license. It runs on your own servers or in the cloud, giving you full control over your data and how the system operates.

Features of Milvus

  • Store and search billions of vectors efficiently

  • Support for 10+ index types (HNSW, IVF, DiskANN)

  • GPU acceleration with NVIDIA CAGRA

  • Hybrid search combining semantic and keyword matching

  • Real-time data updates with streaming support

  • Multi-language SDKs (Python, Java, Go, Node.js)

  • Cloud-native Kubernetes deployment

  • Metadata filtering and range search

  • Open-source with Apache 2.0 license

  • Integration with LangChain, LlamaIndex, and AI frameworks

Milvus Pricing

Milvus Lite
Free
  • Lightweight vector database
  • Runs on laptop with pip install
  • Perfect for learning and prototyping
  • Full database functionality
  • All core search features
  • Python SDK included
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Milvus Standalone
Free
  • Complete vector database
  • Single-machine deployment
  • Handles millions of vectors
  • Production-ready for small scale
  • Docker deployment
  • All index types supported
  • Full API access
Milvus Distributed
Free
  • Enterprise-grade scalability
  • Handles billions of vectors
  • Kubernetes-native deployment
  • Horizontal scaling
  • High availability
  • Multi-node cluster
  • Separate storage and compute
  • GPU acceleration support
Zilliz Cloud Free Tier
Free
  • Fully managed Milvus
  • Serverless option
  • Free tier available
  • No infrastructure management
  • 10x faster than self-hosted
  • Quick start in minutes
Zilliz Cloud (Paid)
Custom
  • Usage-based pricing
  • Dedicated clusters available
  • BYOC (Bring Your Own Cloud)
  • 99.95% uptime SLA
  • SOC2 Type II certified
  • Enterprise support
  • Multi-region deployment
  • Advanced security features

Milvus Use Cases

Milvus Repository

View on Github
Stars45,755
Forks4,191
Repository Age6 years
Last Commit3 hours ago

FAQ's About Milvus

Yes, Milvus is 100% free and open-source under the Apache 2.0 license. You can download, modify, and use it for any purpose without licensing costs. There's also Zilliz Cloud, which is a paid managed service that handles infrastructure for you.
Traditional databases work with exact matches and structured data like numbers and text. Milvus specializes in vector similarity search, finding items that are similar in meaning rather than identical. This makes it ideal for AI applications that need to understand semantic relationships.
Milvus can scale from laptop testing with Milvus Lite to handling tens of billions of vectors in production. Its distributed architecture separates storage and computing, allowing you to scale each component independently based on your workload needs.
Milvus provides official SDK clients for Python, Java, Go, and Node.js. There's also a community-contributed C# SDK. The Python SDK is the most popular and includes convenient tools for working with embeddings and AI models.
Yes, Milvus integrates seamlessly with popular AI frameworks including LangChain, LlamaIndex, Haystack, and OpenAI tools. It's designed to work as the vector storage layer in retrieval-augmented generation (RAG) and other AI application architectures.
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