LF AI & Data Foundation Announces Graduation of Milvus Project

By June 23, 2021Blog

The LF AI & Data Foundation, the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI) and data open source projects, is announcing today that hosted project Milvus is advancing from an Incubation level project to a Graduate level. This graduation is the result of Milvus demonstrating thriving adoption, an ongoing flow of contributions from multiple organizations, and both documented and structured open governance processes. Milvus has also achieved a Core Infrastructure Initiative Best Practices Badge, and demonstrated a strong commitment to its community of users and contributors. 

Milvus is an open-source vector database built to manage embedding vectors generated by machine learning models and neural networks. The platform is widely used in applications such as computer vision, natural language processing, computational chemistry, personalized recommender systems, and more. The Milvus project extends the capabilities of best-in-class approximate nearest neighbor (ANN) search libraries including Faiss, NMSLIB, and Annoy with a cloud-native database system design. Built with machine learning operations (MLOps) in mind, Milvus provides an efficient, reliable, and flexible database component that contributes to simplified management of the entire machine learning model lifecycle. Milvus has been adopted by over 1,000 organizations worldwide including iQiyi, Kingsoft, Tokopedia, Trend Micro, and more. More than 2,300 developers have joined the Milvus open-source community on GitHub, Slack, mailing lists, and WeChat.

Originally developed and open sourced by Zilliz, Milvus joined LF AI & Data as an incubation project in January 2020.  As an Incubation project, the project has benefited  from  the LF AI & Data’s various enablement services to foster its growth and adoption; including program management support, event coordination, legal services, and marketing services ranging from website creation to project promotion.

“Milvus is a great example of a project that joined us in its early stages and grew significantly with the enablement of our services to graduate as a sign of maturity, functioning open governance, and large-scale adoption,” said Dr. Ibrahim Haddad, Executive Director of the LF AI & Data Foundation. “The development activities, the growth of its users and contributors community, and its adoption is particularly noteworthy. Milvus meets our graduation criteria and we’re proud to be its host Foundation. As a Graduate project, we will continue to support it via an extended set of services tailored for Graduated projects  We’re also excited that the project is now eligible for a voting seat on LF AI & Data’s Technical Advisory Council. Congratulations, Milvus!”

“We have made significant progress since Milvus joined the LF AI & Data foundation 16 months ago. With all the good support from the foundation, we have grown a mature community around the Milvus project. We have also found a lot of collaboration opportunities with other members and projects in the foundation. It helped us a lot in promoting the Milvus project.” said Milvus project lead Xiaofan Luan.

Milvus in Numbers

The stats below capture Milvus’ development efforts as of their graduation in June 2021:

  • Contributors on GitHub: 140 
  • GitHub stars: 6.4K
  • GitHub forks: 887
  • Docker hub downloads: 320K
  • Known community members: 2.3K
LFX Insights stats on Milvus project

Curious about how to get involved with Milvus? 

Check out the Milvus Quickstart Guide and be sure to join the Milvus Announce and Milvus Technical-Discuss mailing lists to join the community and stay connected on the latest updates. Learn more about Milvus on their website and GitHub.

Congratulations to the Milvus team! We look forward to continued growth and success as part of the LF AI & Data Foundation. To learn about hosting an open source project with us, visit the LF AI & Data Foundation website.

Milvus Key Links

LF AI & Data Resources