Comparison of Text-Based and Image-Based Retrieval in Multimodal Retrieval Augmented Generation Large Language Model Systems
Published:Nov 20, 2025 18:56
•1 min read
•ArXiv
Analysis
This article, sourced from ArXiv, focuses on a comparative analysis of text-based and image-based retrieval methods within the context of multimodal Retrieval Augmented Generation (RAG) systems using Large Language Models (LLMs). The research likely investigates the performance differences, strengths, and weaknesses of each retrieval approach when integrated into a RAG framework. The study's significance lies in its contribution to optimizing information retrieval strategies for LLMs that handle both textual and visual data.
Key Takeaways
- •Investigates the performance of text-based and image-based retrieval in multimodal RAG systems.
- •Aims to optimize information retrieval for LLMs handling both text and visual data.
- •Contributes to the understanding of effective retrieval strategies in multimodal contexts.
Reference
“The article's core focus is on comparing retrieval methods within a multimodal RAG system.”