Milvus

Vector Databases & Memory

Open Source AI

Open-source vector database built for massive scale and high performance. Cloud-native architecture with horizontal scalability. Supports GPU acceleration, multiple index types (IVF, HNSW, DiskANN), and hybrid search. Managed by Zilliz Cloud or self-hosted.

Why Use Milvus

Best for production workloads requiring billions of vectors. 10x faster than alternatives on benchmark tests. Kubernetes-native for cloud deployments. Active community with 25K+ GitHub stars. Used by PayPal, NVIDIA, and Salesforce for production AI. GPU acceleration for ultra-fast similarity search.

Use Cases for Builders

Practical ways to use Milvus in your workflow

Scale agent memory to billions of vectors for enterprise applications
Build high-performance RAG systems for knowledge retrieval
Implement real-time recommendation engines with GPU acceleration
Create semantic search for massive document collections
Deploy multi-tenant vector search with data isolation

Similar Tools

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Embedded vector database designed for developers. Run in-memory or persist to disk. Automatic embedding generation with built-in models. Python and JavaScript APIs. Perfect for prototyping and small to medium deployments.

Try Milvus

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