Step By Step Process To Build MultiModal RAG With Langchain - PDF And Images

Learn to build an end-to-end multimodal RAG (Retrieval-Augmented Generation) system using Langchain that processes PDF documents containing both text and images. Follow a comprehensive step-by-step approach to extract and utilize visual content alongside textual information from PDF sources, implementing advanced techniques for handling mixed-media documents in your RAG pipeline. Master the integration of image processing capabilities with traditional text-based retrieval systems, enabling your applications to understand and respond to queries involving both textual and visual elements from PDF documents.