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Agentic-RAG-Diagnose-Assistant
E2E full-stack Agentic-RAG medical triage system. LangGraph 17-node state machine + RRF multi-route retrieval over 13 medical textbooks (26K chunks, 130K multi-vector embeddings). On 62 licensing-exam cases: 93.5% top-1 diagnosis match (LLM's first pick equals gold), 100% top-2 (gold always within top 2 — zero missed p
1stars
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Python
agentdocker-composefastapilanggraphllmmedical-aimilvusrag
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest Handshakeworm/Agentic-RAG-Diagnose-AssistantAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/Handshakeworm/Agentic-RAG-Diagnose-Assistant.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
agentic-rag-diagnose-assistant — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt