RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
May 24, 2024 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
A curated list of resources for Document Understanding (DU) topic
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
A Repo For Document AI
Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
Object Detection Model for Scanned Documents
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning
ReadingBank: A Benchmark Dataset for Reading Order Detection
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Checkbox Detection Model for Scanned Documents
QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.
Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
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