The Evolution of Milvus: A Cloud-Native Vector Database - Frank Liu Zilliz

The Evolution of Milvus: A Cloud-Native Vector Database - Frank Liu Zilliz The total amount of digital data generated worldwide is increasing at a rapid rate.
Simultaneously approximately 80 and growing of this newly generated data is unstructured data - data that does not conform to a table- or object-based model.
Examples of unstructured data include text images protein structures geospatial information and IoT data streams.
Despite this the vast majority of companies and organizations do not have a way of storing and analyzing these increasing large quantites of unstructured data.
Embeddings - high-dimensional dense vectors which represent the semantic content of unstructured data - can remedy this.
Armed with this knowledge its clear that the mobileIoT era necessitates a new type of cloud-native fully distributed database purpose-built to store search and index large quantities of embedding vectors: Milvus. In this presentation well introduce the design of Milvus 2.0 - the worlds most popular open-source vector database trusted by over 1000 organizations.
Milvus 2.0 represents a complete paradigm shift in the underlying vector database architecture - cloud-native horizontally scalable and fully distributed.
We will also briefly discuss the evolution from Milvus 1.0 to 2.0 and share various real-world use cases and applications.

Источник: rutube.ru