# Alibaba Tongyi Open-Sources Multimodal Knowledge Base RAG Framework VimRAG

- Category: Flash (快讯)
- Published: 2026-04-10T12:00:00.000Z
- Source date: 2026-04-10
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Alibaba Tongyi Lab has released the VimRAG framework, replacing traditional linear context concatenation with dynamic directed acyclic graphs. By integrating branch trial-and-error, visual energy allocation, and graph-guided optimization, it enhances retrieval and reasoning across text, images, and video. Tests on the Qwen3-VL-8B model show an accuracy of 50.1%, significantly outperforming conventional approaches.

## At a glance

- VimRAG uses dynamic directed acyclic graphs and various optimization strategies to improve cross-modal retrieval and reasoning accuracy.
- On the Qwen3-VL-8B model, VimRAG achieved 50.1% accuracy, significantly outperforming traditional approaches.

## The update

Alibaba Tongyi Lab has officially launched VimRAG, an open-source multimodal knowledge base retrieval-augmented generation framework. This framework innovatively adopts a dynamic directed acyclic graph structure, replacing traditional linear context concatenation to handle complex information more effectively. By introducing branch trial-and-error mechanisms, visual energy allocation strategies, and graph-guided optimization, VimRAG enables precise retrieval and associative reasoning across text, image, and video content. Experimental data shows that based on the Qwen3-VL-8B model, the framework achieved an accuracy of 50.1%, significantly outperforming traditional solutions and providing a more efficient technical path for multimodal data processing.

## Sources

- [通义实验室](https://mp.weixin.qq.com/s/VyE8ayVY2DI5UYzliWp7aA) (2026-04-10)

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