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This project is a visual Retrieval-Augmented Generation (RAG) system that uses Cohere's Embed-4 model to semantically retrieve relevant images and PDF pages. It then leverages Google's Gemini 2.5 Flash model to provide context-aware answers based on the retrieved visual content.