LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

12 Lessons to Get Started Building AI Agents

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

从零开始的智能体学习之旅！

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

🤗 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.

📚 从零开始的大语言模型原理与实践教程

100+ LLM & RL Algorithm Maps | 原创 LLM / RL 100+原理图。由《大模型算法》作者发起（By the author of the book📘 "Large Model Algorithms"）

标准化的节假日数据集（JSON格式），包含法定假期、调休安排等信息。 | Standardized JSON dataset of holidays and working calendar for regions.

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

构建一个医疗知识图谱并基于此实现 RAG，并以此实现医学试题的生成

CMB, A Comprehensive Medical Benchmark in Chinese

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

🍺 The missing package manager for macOS (or Linux)

Official Repo for Paper ‘’HealthGPT : A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation‘’

Build & Optimize your RAG.

This repository contains the Hugging Face Agents Course.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

MedRAX: Medical Reasoning Agent for Chest X-ray

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ DeepSeek/Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

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

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

Medical o1, Towards medical complex reasoning with LLMs

Medical Graph RAG: Graph RAG for the Medical Data