Modern Multi-Vector Code Search
Hosted by Aamir Shakir and Isaac Flath
Thu, Dec 11, 2025
6:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
By continuing, you agree to Maven's Terms and Privacy Policy.
Go deeper with a course

Thu, Dec 11, 2025
6:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
What makes semantic search work for code?
What is "multi-vector" search and semantic chunking?
Why wasn't multi-vector done before?
Why this topic matters
You'll learn from
Aamir Shakir
Founder of Mixedbread
Aamir is the Founder & CEO of Mixedbread, which is building a search API for unstructured data like PDFs, images, and video to provide the right context to both humans and AI.Since the release of BERT, he has been at the forefront of representation learning and retrieval, working on how AI systems can effectively understand and use complex, unstructured data.At Mixedbread, Aamir leads the development of foundational retrieval models that replace outdated, brittle data pipelines, helping organizations make their data AI-ready and turn it into real business outcomes.
Isaac Flath
Dev-efficiency and AI expert; Elite AI-Assisted Coding co-instructor
Isaac is an independent consultant, OSS contributor, and product builder who has helped many companies incorporate AI into their products. I've taught AI efficiency to companies for years and worked for tech startups and cutting edge labs.
As a consultant, I have helped companies of all sizes from startups (such as Ankihub and SpecStory) to enterprise clients (such as Travel & Leisure and Cable and Wireless Communications). Previously, I worked as a researcher at Novetta where I worked on Chatbots, and worked at other cutting edge labs such as Answer AI.
By continuing, you agree to Maven's Terms and Privacy Policy.
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