[ACM Multimedia'25 Dataset Track] A Multimodal Dataset for Neglected Tropical Skin Diseases

本项目设计了一个基于 RAG 与大模型技术的医疗问答系统，利用 DiseaseKG 数据集与 Neo4j 构 建知识图谱，结合 BERT 的命名实体识别和 34b 大模型的意图识别，通过精确的知识检索和问答生成， 提升系统在医疗咨询中的性能，解决大模型在医疗领域应用的可靠性问题。

[ACM MM 2025 🔥🔥 ] MIRA: A first-of-its-kind medical RAG framework that fuses image features and retrieved knowledge with dynamic context control to boost factual accuracy in multimodal medical reas…

An agentic RL framework to enhance retreival-augmented reasoning in Diagnostic Policy

MedResearcher-R1 is a deep research agent for medical scenarios, built on a knowledge-informed trajectory synthesis framework.

Complex Reasoning Rag System, Agentic Rag System

"RAG-Anything: All-in-One RAG Framework"

🦜🔗 The platform for reliable agents.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Code for the MedRAG toolkit

A Deep Learning Python Toolkit for Healthcare Applications.

[COMMSENG'24, TMI'24] Interactive Computer-Aided Diagnosis using LLMs

Beyond the Model: Scaling Medical Capability with a Large Verifier System

基于医疗领域知识图谱的问答系统，同时使用了chatGPT、chatGLM4等方式生成医学知识图谱。

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

📚 从零开始的大语言模型原理与实践教程

同济大学硕博士论文 LaTeX 模板 Tongji-Thesis - 2025 修订

MediVirtuoso ChatBot: An intelligent conversational agent powered by Google's Gemini LLM, featuring image recognition for drugs and medicines. Engage in natural language conversations, make queries…

Official implementation of BLIP3o-Series

[ACM MM2025] Official code of " HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation"

A Curated Benchmark Repository for Medical Vision-Language Models

Repo for "VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning"

Train your Agent model via our easy and efficient framework

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding (CVPR2025)

爬取春雨医生对话信息

"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Xingliang Hou, Shiquan Liu, Shihui Ying, Shaoyi Du, Han Hu, and Yue Gao.

在RAG技术中，嵌入向量的生成和匹配是关键环节。本文介绍了一种基于CLIP/BLIP模型的嵌入服务，该服务支持文本和图像的嵌入生成与相似度计算，为多模态信息检索提供了基础能力。

An open-source RAG-based tool for chatting with your documents.

Corrective Retrieval Augmented Generation