Is Multimodal-RAG-Survey open source?

Yes — llm-lab-org/Multimodal-RAG-Survey is an open-source project tracked on heatdrop.

How popular is Multimodal-RAG-Survey?

llm-lab-org/Multimodal-RAG-Survey has 533 stars on GitHub.

Where can I find Multimodal-RAG-Survey?

llm-lab-org/Multimodal-RAG-Survey is on GitHub at https://github.com/llm-lab-org/Multimodal-RAG-Survey.

llm-lab-org/Multimodal-RAG-Survey

Mapping the Messy Frontier of Multimodal RAG

This repo collects and categorizes the exploding literature on Multimodal Retrieval-Augmented Generation into a living taxonomy tied to an ACL 2025 survey paper.

★533 stars Learning

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What it does

The repository acts as a companion bibliography to the survey paper Ask in Any Modality, accepted at ACL 2025 Findings. It sorts papers into a detailed taxonomy covering retrieval strategies, fusion mechanisms, augmentation techniques, generation methods, and application domains like medical and fashion. It also catalogs popular datasets for image-text, video-text, and audio-text retrieval.

The interesting bit

Rather than dumping PDFs, the authors impose order on a chaotic, fast-moving field with a pipeline diagram and hierarchical taxonomies that split research by modality and task. The repo is explicitly maintained as a living resource, with updates rolling in as the literature expands.

Key highlights

Tied to a peer-reviewed ACL 2025 Findings survey paper with a dedicated project website.
Organizes papers across retrieval, fusion, augmentation, generation, training, and robustness.
Catalogs datasets spanning image-text, video-text, audio-text, medical, and fashion domains.
Includes poster and slide materials from the conference.
Accepts community contributions via pull requests for new papers.

Caveats

This is a curated reading list and taxonomy, not a runnable framework or codebase.
The README is thorough but dense; finding a specific paper means navigating nested emoji-laden headers.

Verdict

Researchers and engineers trying to navigate the flood of multimodal RAG papers will find this a useful compass. If you are looking for a drop-in retrieval library, look elsewhere.

Frequently asked

What is llm-lab-org/Multimodal-RAG-Survey?: This repo collects and categorizes the exploding literature on Multimodal Retrieval-Augmented Generation into a living taxonomy tied to an ACL 2025 survey paper.
Is Multimodal-RAG-Survey open source?: Yes — llm-lab-org/Multimodal-RAG-Survey is an open-source project tracked on heatdrop.
How popular is Multimodal-RAG-Survey?: llm-lab-org/Multimodal-RAG-Survey has 533 stars on GitHub.
Where can I find Multimodal-RAG-Survey?: llm-lab-org/Multimodal-RAG-Survey is on GitHub at https://github.com/llm-lab-org/Multimodal-RAG-Survey.