Chat with PDFs Using RAG Pipeline

In the video titled “Multimodal RAG: Chat with PDFs (Images & Tables)” by Alejandro AO, the presenter demonstrates how to build a multimodal Retrieval-Augmented Generation (RAG) pipeline using LangChain and the Unstructured library. The tutorial focuses on creating an AI-powered system that can query complex documents, including PDFs with text, images, and tables, by utilizing advanced Language Learning Models (LLMs) like GPT-4 with vision capabilities. The video outlines the setup process for the Unstructured library, document retrieval system, and how to integrate textual and visual data into a multimodal LLM for comprehensive understanding and accurate responses. The tutorial aims to enhance the user’s ability to work with diverse data formats, making it suitable for various applications such as technical documents and scientific papers.