Min Tian

Title: Min Tian - Innovator in Vector Dataset Indexing

Introduction

Min Tian is a prominent inventor based in Redwood City, CA. He has made significant contributions to the field of data indexing, particularly in vector datasets. His innovative approach has led to the development of a unique patent that enhances the efficiency of data retrieval processes.

Latest Patents

Min Tian holds a patent titled "Vector dataset index parameter determination." This patent involves a method for building an index of a vector dataset based on various build parameter groups. The process includes generating search parameter groups and submitting vector queries to each index to obtain results and delay values. The accuracy of these results is then determined, allowing for the correlation of build parameter values with accuracy and delay values. This innovative method ultimately establishes a mathematical relationship that optimizes the search depth parameter values and the number of requested results.

Career Highlights

Min Tian is currently employed at Zilliz Inc., where he continues to push the boundaries of data indexing technology. His work has been instrumental in advancing the capabilities of vector datasets, making data retrieval more efficient and accurate.

Collaborations

Some of Min Tian's notable coworkers include Chao Xie and Chao Gao. Their collaborative efforts contribute to the innovative environment at Zilliz Inc., fostering advancements in data technology.

Conclusion

Min Tian's contributions to vector dataset indexing exemplify the impact of innovative thinking in technology. His patent and work at Zilliz Inc. highlight the importance of efficient data retrieval methods in today's data-driven world.