RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Build smaller, faster, and more secure desktop and mobile applications with a web frontend.

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

Build AI-powered applications with React, Svelte, Vue, and Solid

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

The official Python SDK for Model Context Protocol servers and clients

Fast and low overhead web framework, for Node.js

🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案，支持 OpenAI，Midjourney，Claude，讯飞星火，Stable Diffusion，DALL·E，ChatGLM，通义千问，腾讯混元，360 智脑，百川 AI，火山方舟，新必应，Gemini，Moonshot …

Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

ai-generated apps , full stack + generative UI

一个超轻量级、可以在移动端实时运行的数字人模型

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Retrieval and Retrieval-augmented LLMs

A series of large language models developed by Baichuan Intelligent Technology

translate scientific papers in latex, especially arxiv papers

前端精读周刊。帮你理解最前沿、实用的技术。

Pretraining Efficiently on S2ORC!

Running large language models on a single GPU for throughput-oriented scenarios.

TigerBot: A multi-language multi-task LLM

🚀 Beautiful, fast and modern React UI library.

LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.

Scaling Sentence Embeddings with Large Language Models

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

🦜🔗 Build context-aware reasoning applications