Building Multimodal RAG Application #8: Putting it All Together! Building Multimodal RAG Application 0 like January 14, 2025Share this postAuthor(s): Youssef Hosni Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Multimodal retrieval-augmented generation (RAG) is transforming how AI applications handle complex information by merging retrieval and generation capabilities across diverse data types, such as text, images, and video.Unlike traditional RAG, which typically focuses on text-based retrieval and generation, multimodal RAG systems can pull in relevant content from both text and visual sources to generate more contextually rich, comprehensive responses.This article, the eighth and last part of our Building Multimodal RAG Applications series, wraps up all the modules we have built in the previous articles and puts them into one place.Well cover setting up the environment, preparing the data in the preprocessing module, retrieving the relevant video frames in the multimodal retrieval module, leveraging LVLMs across a variety of use cases in the LVLM inference and prompt processing modules, and finally putting all these modules together and building a multimodal RAG system with LangChain.This article is the eighth in the ongoing series of Building Multimodal RAG Application:Introduction to Multimodal RAG Applications (Published)Multimodal Embeddings (Published)Multimodal RAG Application Architecture (Published)Processing Videos for Multimodal RAG (Published)Multimodal Retrieval from Vector Stores (Published)Large Vision Language Models (LVLMs) (Published)Multimodal RAG with Multimodal LangChain (Published)Putting it All 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 asponsor. Published via Towards AITowards AI - Medium Share this post