Staging environment

Better RAG retrieval with late interaction

Hosted by Isaac Flath and Hamel Husain

Wed, Jun 10, 2026

7:00 PM UTC (45 minutes)

Virtual (Zoom)

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Mastering LLMs For Developers & Data Scientists
Dan Becker and Hamel Husain
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What you'll learn

Pick a vendor without spending a week

Mixedbread, LightOn (PyLate), ColPali, Jina. Where each fits, what setup looks like, and what to prototype first.

Get late interaction without writing the paper

What MaxSim, token-level matching, and PLAID quantization actually do, in plain terms, without the math.

See where dense vectors quietly break

Pooling, long context, and out-of-domain queries: three places single-vector RAG gets you in trouble.

Why this topic matters

Why do you believe students should care about it? Big picture, what's the professional benefit of understanding it? Give students an idea of how they can expect to grow with this lesson.

You'll learn from

Isaac Flath

Independent Developer & Consultant

Isaac is an independent consultant 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.

Hamel Husain

ML Engineer with 20 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.

Previously at

GitHub
Airbnb
SpecStory
See all products from Hamel Husain & Shreya Shankar

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