xugangqiang/ragflow
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
Senior Software Architect | Java · Go · Python | Distributed Systems & Big Data | Core contributor to RAGFlow (88K⭐) | ex-Morgan Stanley / NVIDIA
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
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Green's go projects
an project that stores general algorithms implementations, like Permutation, QuickSort, Tree Least Common Ancestor, etc
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External testdata for RAGFlow DeepDoc native backend (det/DLA/OCR/TSR fixtures + golden.json)
A Go (golang) library wrapping microsoft/onnxruntime.
Fork of github.com/yalue/onnxruntime_go: static-only ONNX Runtime Go binding (dlopen(NULL), no .so fallback).
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
DeepSeek Harness: Everything is a Plugin.
The fastest Office document library for Python, Rust, Go, JS/TS, C# and WASM. DOCX, XLSX, PPTX, DOC, XLS, PPT. Up to 100× faster than python-docx/openpyxl/python-pptx. 100% pass rate on valid Office files. MIT/Apache-2.0.
TorchV开源的解析代码仓库
Go library for parsing Microsoft Outlook .msg files. Extracts subject, sender, recipients, body (text/HTML/RTF), attachments, dates, and other MAPI properties.
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.