March 22, 2024, 8:07 p.m. | Ali Azhar

Datanami www.datanami.com

Vector databases have emerged to become an integral component of many AI applications. However, as AI applications continue to grow, vector databases are presented with more complicated use cases. This requires vector databases with high levels of recall, low latency, and high throughput.  With the release of Milvus 2.4 by Zilliz, a vector database management Read more…


The post Zilliz Unveils Game-Changing Features for Vector Search appeared first on Datanami.

ai applications applications become cases databases features game however integral latency low low latency milvus news in brief recall release search update upgrade use cases vector vector databases vector search zilliz

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist

@ Meta | Menlo Park, CA

Principal Data Scientist

@ Mastercard | O'Fallon, Missouri (Main Campus)