Multimodal Retrieval Augmented Generation Applied To Real World Case — With Code

Complete guide to building a RAG system to interact with text, images, tables and audio.

Multimodal RAG — Weaviate

Introduction

Imagine your company’s core expertise is to evaluate ESG (Environmental, Social, and Governance) factors in emerging markets for strategic investment decisions. As a financial analyst in that company, you’re responsible for analyzing vast amounts of diverse data to inform these critical choices.

Wouldn’t it be great if you had an intelligent system that could:

• Automatically process data of various natures
• Answer specific questions about ESG factors in different markets
• Provide accurate insights without the risk of costly mistakes due to AI hallucinations?

In this article, you will learn how Multimodal Retrieval Augmented Generation (RAG) can create such a system, enabling you to:

• Analyze multiple data types simultaneously, including PDFs, images, and audio
• Leverage the power of Large Language Models (LLMs) while mitigating their limitations
• Make more informed and reliable investment decisions in emerging markets

Multimodal and Retrieval…