# Multimodal RAG

Area: [Retrieval-augmented generation](https://mlsanity.com/rag/index.md). HTML: https://mlsanity.com/rag/multimodal-rag/

## Key facts

- Multimodal RAG: 410 papers on arXiv since 2022 (data through 14 Oct 2026).
- 68 of its 410 mapped papers (17%) cite “VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents” (2024, arXiv 2410.10594).
- 61 of its 410 mapped papers (15%) cite “MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text” (2022, arXiv 2210.02928).
- 10 new papers 17 Sep–14 Oct.

## Most cited here

- [VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents](https://mlsanity.com/paper/2410.10594/) (2024), cited by 68 papers here
- [MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text](https://mlsanity.com/paper/2210.02928/) (2022), cited by 61 papers here
- [Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories](https://mlsanity.com/paper/2306.09224/) (2023), cited by 40 papers here
- [M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding](https://mlsanity.com/paper/2411.04952/) (2024), cited by 30 papers here
- [Re-Imagen: Retrieval-Augmented Text-to-Image Generator](https://mlsanity.com/paper/2209.14491/) (2022), cited by 28 papers here
- [REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory](https://mlsanity.com/paper/2212.05221/) (2022), cited by 28 papers here
- [Retrieval Augmented Visual Question Answering with Outside Knowledge](https://mlsanity.com/paper/2210.03809/) (2022), cited by 25 papers here
- [Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs](https://mlsanity.com/paper/2404.15406/) (2024), cited by 25 papers here
- [Retrieval-Augmented Multimodal Language Modeling](https://mlsanity.com/paper/2211.12561/) (2022), cited by 23 papers here
- [Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension](https://mlsanity.com/paper/2411.13093/) (2024), cited by 21 papers here

## New (17 Sep–14 Oct)

- [PixARG: Pixel-Asynchronous Retrieval-Augmented Diffusion for Fast and Realistic Image Generation](https://mlsanity.com/paper/2610.14713/) (2026-10-10)
- [EC-RAG: Event Chain Retrieval-Augmented Generation for Long Video Understanding](https://mlsanity.com/paper/2610.08674/) (2026-10-06)
- [CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retrieval-Augmented Generation](https://mlsanity.com/paper/2610.03421/) (2026-10-02)
- [Found but Not Read: When Extracted Text Closes the Retrieval-Reading Gap in Document Vision-Language Models](https://mlsanity.com/paper/2610.02880/) (2026-10-02)
- [Complementary Retrieval-Augmented Prompting for Consistent Long-Form Video Generation](https://mlsanity.com/paper/2609.37407/) (2026-09-29)
- [TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAG](https://mlsanity.com/paper/2609.37349/) (2026-09-29)
- [Beyond Retrieval Relevance: Scene-Grounded Risk Entailment for Vision-Language Driving](https://mlsanity.com/paper/2609.34145/) (2026-09-28)
- [Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion](https://mlsanity.com/paper/2609.24220/) (2026-09-21)
- [PRISM-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Tobacco Product and Legislative Policy Reasoning](https://mlsanity.com/paper/2609.23769/) (2026-09-20)
- [Scientific Image Quality Assessment via Multi-modal Retrieval-Augmented Generation](https://mlsanity.com/paper/2609.19634/) (2026-09-17)