San Francisco, CA, United States of America

Zhujun Lan

This inventor holds 1 USPTO granted patent. Top assignee: Salesforce, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhujun Lan. Retrieved from https://idiyas.com/inventor/zhujun-lan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zhujun Lan: Innovator in Vector Embedding Databases

Introduction

Zhujun Lan is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of computer science, particularly in the area of vector embedding databases. His innovative work has led to the development of methods and apparatuses that enhance the efficiency of data processing.

Latest Patents

Zhujun Lan holds a patent for "Locally-stored vector embedding databases." This patent describes methods, apparatuses, and computer-program products that involve storing vector databases on a local machine. The method includes receiving a query for code generation and comparing vector embeddings to identify relevant information. This innovative approach utilizes generative artificial intelligence (AI) to generate responses based on the provided query and context.

Career Highlights

Zhujun Lan is currently employed at Salesforce, Inc., where he applies his expertise in developing advanced technological solutions. His work at Salesforce has positioned him as a key player in the field of AI and data management.

Collaborations

Zhujun collaborates with talented individuals such as Jonathan Gellin and Walter Harley. These partnerships enhance the innovative environment in which he works, fostering creativity and technological advancement.

Conclusion

Zhujun Lan's contributions to vector embedding databases exemplify the impact of innovation in technology. His work not only advances the field but also sets a foundation for future developments in AI and data processing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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