Whitepaper
Manu: A Cloud Native Vector Data Management System
June 28, 2022
Horizontal scalability for 1 billion+ vector collections
With the development of learning-based embedding models, developers use embedding vectors for analyzing and searching unstructured data. However, as vector collections exceed billion-scale, fully managed and horizontally scalable vector databases are necessary.
In this technical paper, you will learn our design philosophy when we developed Manu. This cloud-native vector database supports the scalability requirements of managing tens of billions of vectors, and we did this through interactions with our 1700+ industry users. In addition, we have sketched a vision for the features that next-generation vector databases should have — specifically, long-term evolvability, tunable consistency, good elasticity, and high elasticity performance.
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