Free Lesson
Better RAG retrieval with late interaction
45 min
Jun 10, 2026 3:00 PM
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
Most teams default to single-vector embeddings and only notice the cracks once retrieval misses the obvious answer on long docs or unfamiliar queries. Isaac walks through where this matters, which library fits which use case, and the best way to ship a testable prototype.
You'll learn from
Isaac Flath
Independent Developer & Consultant
Hamel Husain
ML Engineer with 20 years of experience.
Previously at
