Work from eLab @ Purdue University.
This repository contains research work focused on multimodal retrieval-augmented generation (RAG). The project explores integrating multiple data modalities to enhance the performance of generative models on scientific papers.
Features
- Multimodal Embedding Integration: Combines data from various modalities for improved context.
- Retrieval-Augmented Generation: Enhances generative models with retrieved information.