Milvus

Cloud-native vector DB

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Data Infrastructure

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What it's used for

Running production-grade vector search at massive scale (billions of vectors) with GPU-accelerated indexing and distributed architecture. It's designed for enterprise deployments that need high throughput, horizontal scaling, and support for multiple index types (IVF, HNSW, DiskANN).

Getting started

Deploy Milvus with Docker Compose for standalone mode (docker compose up -d) or use Zilliz Cloud for a fully managed service. Install the Python SDK with pip install pymilvus. Create a collection with a schema defining vector fields and their dimensions, then build an index before querying.

 $ pip install pymilvus 

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Xiaofan Luan

Zilliz (Milvus)

Co-Founder and Head of Engineering at Zilliz, the company behind the Milvus open-source vector database. Led the architecture of Milvus 2.0 as a cloud-native distributed system. Previously at Oracle.