Tue, Jun 23, 2026
10:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

Tue, Jun 23, 2026
10:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
Why single-vector embeddings dilute your data
How late interaction and MaxSim actually work
Where retrieval still breaks, and what's next
Why this topic matters
You'll learn from
Ben Clavié
Machine Learning Researcher at Mixedbread
Ben Clavié is a machine learning researcher at Mixedbread, focused on NLP and information retrieval. Previously at Answer.AI, he has led projects that broaden access to state-of-the-art retrieval, including RAGatouille and the rerankers library, and co-led the ModernBERT project that modernized the widely used BERT backbone. Based in Tokyo and academically affiliated with the National Institute of Informatics, he also organizes the Late Interaction Workshop series and is exploring what LLMs open up for retrieval.
Hamel Husain
ML Engineer with 25+ years of experience
Hamel Husain is a ML Engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.