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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.
| Date | Stars |
|---|---|
| 2026-07-24 | 934 |
| 2026-07-25 | 936 |
| 2026-07-28 | 939 |
| 2026-07-30 | 939 |
| 2026-07-31 | 939 |
| 2026-08-06 | 939 |
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<div align="center">  <h1 align="center"><strong>⚕️ Multi-Agent-Medical-Assistant :<h6 align="center">AI-powered multi-agentic system for medical diagnosis and assistance</h6></strong></h1> <!--  -->        [](https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant/blob/main/LICENSE) [](https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant/issues)  </div> ---- > [!IMPORTANT] > 📋 Version Updates from v2.0 to v2.1 and further: > 1. **Document Processing Upgrade**: Unstructured.io has been replaced with Docling for document parsing and extraction of text, tables, and images to be embedded. > 2. **Enhanced RAG References**: Links to source documents and reference images present in reranked retrieved chunks stored in local storage are added to the bottom of the RAG responses. > > To use Unstructured.io based solution, refer release - [v2.0](https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant/tree/v2.0). ## 📚 Table of Contents - [Overview](#overview) - [Demo](#demo) - [Technical Flow Chart](#technical-flowchart) - [Key Features](#key-features) - [Tech Stack](#technology-stack) - [Installation and Setup](#installation-setup) - [Using Docker](#docker-setup) - [Manual Installation](#manual-setup) - [Usage](#usage) - [Contributions](#contributions) - [License](#license) - [Citing](#citing) - [Contact](#contact) ---- ## 📌 Overview <a name="overview"></a> The **Multi-Agent Medical Assistant** is an **AI-powered chatbot** designed to assist with **medical diagnosis, research, and patient interactions**. 🚀 **Powered by Multi-Agent Intelligence**, this system integrates: - **🤖 Large Language Models (LLMs)** - **🖼️ Computer Vision Models** for medical imaging analysis - **📚 Retrieval-Augmented Generation (RAG)** leveraging vector databases - **🌐 Real-time Web Search** for up-to-date medical insights - **👨⚕️ Human-in-the-Loop Validation** to verify AI-based medical image diagnoses ### **What You’ll Learn from This Project** 📖 🔹 **👨💻 Multi-Agent Orchestration** with structured graph workflows 🔹 **🔍 Advanced RAG Techniques** – hybrid retrieval, semantic chunking, and vector search 🔹 **⚡ Confidence-Based Routing** & **Agent-to-Agent Handoff** 🔹 **🔒 Scalable, Production-Ready AI with Modularized Code & Robust Exception Handling** 📂 **For learners**: Check out [`agents/README.md`](agents/README.md) for a **detailed breakdown** of the agentic workflow! 🎯 <!-- The **Multi-Agent Medical Assistant** is an advanced AI-powered chatbot system designed to assist in medical diagnosis, research, and patient interactions. Using a **Multi-Agentic framework**, this assistant integrates **Large Language Models, Computer Vis
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matched fp:90fdbbb573398d42, topic:agents, topic:agentic-ai, topic:langgraph