The AI-Powered Super IC

From Text-RAG to Vision-RAG w/ VP Search @ Cohere

Hosted by Jason Liu and Nils Reimers

Wed, May 14, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

392 students

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Systematically Improving RAG Applications
Jason Liu
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What you'll learn

Understanding Visual RAG Fundamentals

Learn the core concepts behind vision-only RAG systems and how they differ from traditional text-based approaches.

Building End-to-End Visual RAG Systems

Master the technical components needed to implement a complete vision RAG pipeline from retrieval to generation.

Deploying Visual RAG in Production

Discover practical strategies for deploying vision RAG systems with consideration for performance and scalability.

Why this topic matters

Visual RAG expands AI's ability to understand and utilize charts, graphs, and images, a critical skill as 65% of people are visual learners. Mastering this technology allows you to build truly multimodal AI systems that can reason about visual data, giving you a competitive edge in enterprise AI development and opening new possibilities for data-driven applications.

You'll learn from

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.

Nils Reimers

VP AI Search, Cohere.com

Nils started training his first neural network 20 years ago and has been a pioneer in the field of deep learning. At Cohere, he is in charge of training foundational models for finding the right information for AI systems, creating several of the world's best AI retrieval models.

worked with

Cohere
Stitch Fix
Meta
University of Waterloo
New York University

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