Author: Mór Kapronczay

Mór is Lead ML Engineer at Superlinked. Previously working predominantly in ML consultancies, Mór transferred into building Superlinked around 3 years ago. Joined as early as around the pre-seed round, they were able to build the Vector Computer product vision that attracted funding from Silicon Valley VCs like Index and Theory. After closing a successful seed round of ~10 million USD, they are working on making the Vector Computer be the heart of AI search, recommendation engines and many more.

How embeddings can solve your most complex enterprise data problems

Discover the ways embeddings can solve enterprise data problems and maximize the benefits of using MongoDB for AI and machine learning.

Posted on: 16/04/2025 (last updated: 17/04/2025) • Mór Kapronczay • 4 minutes
Business people look at vector search results

Why you need vector search to future-proof your MongoDB data strategy

Discover how vector search can future-proof MongoDB data strategy for enterprises, with impressive improvements to search accuracy and efficiency.

Posted on: 11/03/2025 (last updated: 31/03/2025) • Mór Kapronczay • 6 minutes