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README.md
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<img src="https://img.shields.io/badge/VisRAG-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white" alt="GitHub">
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**VisRAG** is a novel vision-language model (VLM)-based RAG pipeline. In this pipeline, instead of first parsing the document to obtain text, the document is directly embedded using a VLM as an image and then retrieved to enhance the generation of a VLM.Compared to traditional text-based RAG, **VisRAG** maximizes the retention and utilization of the data information in the original documents, eliminating the information loss introduced during the parsing process.
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<p align="center"><img width=800 src="https://github.com/openbmb/VisRAG/blob/master/assets/main_figure.png?raw=true"/></p>
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<img src="https://img.shields.io/badge/VisRAG-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white" alt="GitHub">
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**VisRAG** is a novel vision-language model (VLM)-based RAG pipeline. In this pipeline, instead of first parsing the document to obtain text, the document is directly embedded using a VLM as an image and then retrieved to enhance the generation of a VLM.Compared to traditional text-based RAG, **VisRAG** maximizes the retention and utilization of the data information in the original documents, eliminating the information loss introduced during the parsing process.
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<p align="center"><img width=800 src="https://github.com/openbmb/VisRAG/blob/master/assets/main_figure.png?raw=true"/></p>
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