Building Multimodal RAG Application #3: Multimodal RAG System Architecture

Author(s): Youssef Hosni

Originally published on Towards AI.

This member-only story is on us. Upgrade to access all of Medium.

In the third article of the Building Multimodal RAG Application series, we explore the system architecture of building a multimodal retrieval-augmented generation (RAG) application.

We will start with the main components of multimodal RAG systems and how each of them functions in the context of an RAG system and we will end the article with the main functions of multimodal RAG systems.

This article is the third in the ongoing series of Building Multimodal RAG Application:

Introduction to Multimodal RAG Applications (Published)Multimodal Embeddings (Published)Multimodal RAG Application Architecture (You are here!)Processing Videos for Multimodal RAG (Coming soon!)Multimodal Retrieval from Vector Stores (Coming soon!)Large Vision Language Models (LVLMs) (Coming soon!)Multimodal RAG with Multimodal LangChain (Coming soon!)Putting it All Together! Building Multimodal RAG Application (Coming soon!)

You can find the codes and datasets used in this series in this GitHub Repo

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

🏝Subscribe below🏝 to… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI