Free Lesson

Multimodal RAG: Search Images, Tables, and Text

Hosted by Aki Wijesundara and Manu Jayawardana

Mon, Jul 6, 2026

9:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI Engineering Bootcamp & Certificate
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

One index across three content types

Put images, tables, and text into a single searchable store instead of three disconnected pipelines.

Embed pictures the same way you embed words

Use a multimodal embedding model so an image and a sentence land in the same vector space and can be compared directly.

Answer questions that span formats

Return the right result whether the fact is written in prose, sitting in a table, or visible only in an image.

Why this topic matters

Most RAG setups only read plain text, so the moment a screenshot, a chart, or a table holds the answer, retrieval comes back empty. In this free 30 minute session you watch a single multimodal index get built over a mixed folder of images, tables, and text, then answer questions that pull from all three at once. You see how an image embedding model and a text embedding model sit side by side, and how one query reaches both. You leave able to build retrieval that finds the answer whether it lives in a paragraph, a spreadsheet cell, or a picture.

You'll learn from

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

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