In this video, I'll show you how to build an end-to-end multi-modal RAG system using GPT-4 and LLAMA Index. We'll cover data collection, creating vector stores for text and images, and building a retrieval pipeline. Perfect for those interested in enhancing large language models with multi-modal data.

LINKS:
Colabl: https://tinyurl.com/25sb2rtu
Architecture: https://tinyurl.com/4x9x9bsc
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TIMESTAMPS:
00:00 Introduction to Multi-Modal RAG Systems
00:23 Overview of the Architecture
02:57 Setting Up the Environment
03:54 Data Collection and Preparation
04:28 Generating Image Descriptions with GPT-4
08:10 Creating Multi-Modal Vector Stores
09:41 Implementing the Retrieval Pipeline
11:05 Generating Final Responses


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