Not Just Text: RAG That Sees Images and Reads Tables 🧠🔍
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Retrieval-Augmented Generation (RAG) enhances the capabilities of Large Language Models (LLMs) by providing additional context for more accurate responses. This guide demonstrates building a multimodal RAG system that processes not only text but also tables and images from documents. Using the Unstructured library and GPT-4.1,
Table of contents
A practical guide to creating a smarter, multimodal retrieval-augmented generation pipeline using GPT4.1 and Unstructured Library.Introduction:Solution Approach:Parsing PDF:Summarizing Images and Tables:Processing the Chunks and Summary:Create Embedding and Vector Database:Building Response Model Dynamic Prompt:Generating Response:Conclusion:What’s Next ?Sort: