RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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Updated
Mar 4, 2026 - Python
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A Repo For Document AI
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Parsing-free RAG supported by VLMs
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐
Datasets and Evaluation Scripts for CompHRDoc
[MM'2024] PEneo, an effective algorithm for key-value pair extraction from form-like documents, designed for real-world applications.
A monorepo containing various utility scripts, tools, and applications for development, automation, and AI-powered tasks.
Run optical character recognition with PyTesseract from the FiftyOne App!
将语雀知识库接入大语言模型,实现基于 RAG(检索增强生成)的智能问答系统,支持FastAPI,兼容OpenAI API与本地Ollama模型。
Official evaluation scripts and baseline prompts for the DocVQA 2026 (ICDAR 2026) Competition on Multimodal Reasoning over Documents.
Fast document classification and OCR detection. Analyzes any file type to determine if OCR is needed, saving time and money on unnecessary processing.
Official implementation for "SlimDoc: Lightweight Distillation of Document Transformer Models," published in the International Journal on Document Analysis and Recognition (IJDAR), 2025
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/
Multimodal benchmark for evaluating handwritten editorial correction in printed text.
GLM-OCRを使ったローカルOCRサーバー(FastAPI + Web UI / 画像・PDF対応)
A Synthetic Data Tuned Retriever Framework for Documents Understanding
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