Alibaba Tongyi Lab has open-sourced ViDoRAG, a novel visual document retrieval and question answering system. ViDoRAG boasts impressive accuracy, achieving a remarkable 79.4% in benchmark tests. This system represents a significant advancement in the field of computer vision and information retrieval.

The RAG system tutorial has been released! This system is based on arXiv papers as a context source and provides links to the source papers used in generating answers. Tutorial link: https://colab.research.google.com/drive/1Lc8eq8P87JjzUhbYb33_c7h7njsWb-hn#scrollTo=eCSBhP4FxOg3 . The tutorial thoroughly demonstrates the process of implementing the RAG system, including obtaining paper text, preprocessing and chunking PDF documents using Unstructured, creating a ChromaDB retriever, setting up RAG