On this episode of Quantum Drift, Robert and Haley break down the rise of Multimodal Retrieval Augmented Generation (RAG), a new approach that combines text, images, and video for AI-powered data retrieval. Companies everywhere are starting to use multimodal RAG to unlock insights across all kinds of data, from financial graphs to medical images—but how does it work, and why does it matter?

In this episode, we dive into:

The Basics of Multimodal RAG: What multimodal means and how it transforms text, images, and video into “embeddings” that an AI can understand.
Starting Small: Why experts suggest companies test on a small scale first to ensure the technology meets specific needs.
Real-World Impact: How RAG can streamline operations in sectors like healthcare, finance, and retail, making it easier to surface valuable data from complex sources.

Join us for an exploration into how multimodal RAG is changing the way businesses interact with data, delivering a new level of insight that spans beyond words alone.

Multimodal RAG: The Future of Information Retrieval in AI 11:23 Share

The Quantum Drift

Shownotes Transcript

Multimodal RAG: The Future of Information Retrieval in AI