Multimodal RAG Pipeline with LangChain

This project demonstrates how to build a Multimodal RAG (Retrieval-Augmented Generation) pipeline using LangChain to process PDF documents (text + tables + images) with the Unstructured library.

✨ Features

• Extract text, tables and images from PDFs using `Unstructured. '
• Retriever-augmented generation (RAG) pipeline for multimodal content.
• LangChain integration for document processing and retrieval
• Question-answering to process, find, and answer questions about documents.

🚀 Quick Start

1. Prerequisites

• Python 3.10+

2. Clone repository

• git clone https://github.com/Mercytopsy/Multimodal-RAG-Pipeline.git
• cd Multimodal-RAG-Pipeline

2. Install dependencies

• pip install -r requirements.txt