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Enn Group
- Hangzhou China
- http://luckydrq.com
Stars
No fortress, purely open ground. OpenManus is Coming.
Profile-Based Long-Term Memory for AI Applications
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
Python tool for converting files and office documents to Markdown.
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/Docker/Zotero
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Convert PDF to markdown + JSON quickly with high accuracy
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具,将PDF转换成Markdown和JSON格式。
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Tesseract Open Source OCR Engine (main repository)
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
📚 Process PDFs, Word documents and more with spaCy
Agent Framework / shim to use Pydantic with LLMs
A vector search SQLite extension that runs anywhere!
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A python wrapper to extract text from images on a mac system. Uses the vision framework from Apple.
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Supercharge Your LLM Application Evaluations 🚀