Zilliz

Zilliz Cloud and Milvus support production vector search and retrieval workloads for AI applications, with the Milvus ecosystem used at large scale across recommendation, semantic search, RAG and multimodal retrieval deployments.

Zilliz and Milvus have been adopted by more than 10,000 global enterprises and AI-native teams for production AI applications including agent memory, RAG, semantic search, recommendations and web-scale search.

Zilliz and Milvus have been adopted by more than 10,000 global enterprises and AI-native teams for production AI applications including agent memory, RAG, semantic search, recommendations and web-scale search.

Zilliz created Milvus as a purpose-built distributed vector data-management system supporting billion-scale data, dynamic updates, GPU acceleration, attribute filtering, multi-vector queries and distributed execution.

Zilliz develops Milvus and Zilliz Cloud, including Vector Lakebase and the Cardinal engine, combining billion-scale vector search, low-latency indexing, lake-native storage and unstructured-data infrastructure for agentic AI.

Zilliz develops Milvus and Zilliz Cloud, including Vector Lakebase and the Cardinal engine, combining billion-scale vector search, low-latency indexing, lake-native storage and unstructured-data infrastructure for agentic AI.

Zilliz operates the Milvus ecosystem with 44,000+ GitHub stars, enterprise-grade managed cloud infrastructure, global cloud availability and production customers such as Zillow, OpenEvidence, Exa, Filevine and MiniMax.

Zilliz operates the Milvus ecosystem with 44,000+ GitHub stars, enterprise-grade managed cloud infrastructure, global cloud availability and production customers such as Zillow, OpenEvidence, Exa, Filevine and MiniMax.

Zilliz raised $60M in Series B financing, bringing total funding to $113M, with backing from Prosperity7 Ventures, Pavilion Capital, Hillhouse Capital, 5Y Capital and Yunqi Partners; the company also sustains the Milvus open-source vector database ecosystem and commercial Zilliz Cloud platform.

Zilliz and Milvus span vector databases, distributed systems, cloud-native infrastructure, indexing/search, embeddings, RAG, multimodal retrieval and integrations across major AI frameworks and clouds, supporting broad portability across database, data-platform and AI-infrastructure engineering.

Vector databases, distributed systems, retrieval, indexing, agent memory, RAG and AI data infrastructure skills transfer exceptionally broadly across AI platforms, search and cloud companies.

Vector databases, distributed systems, retrieval, indexing, agent memory, RAG and AI data infrastructure skills transfer exceptionally broadly across AI platforms, search and cloud companies.