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Frontend implementation of the Undoc medical consultation chatbot, built with Next.js.

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Undoc: Health Care Chatbot

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webpage implementation of AI Undoc Chatbot.

For more details on RAG and RAFT methods, please visit main repo: health-care-advisor.

demo

How To Start

Create Env file

cp .env.local.example .env.local

Copy the example file and update it according to your environment.

Run Server

To start the development server, run:

npm install

# and

npm run dev
# or
yarn dev
# or
pnpm dev

Once the server is running, open http://localhost:3000 in your browser to view the application.

This project is built using Next.js and was bootstrapped with create-next-app.

System Structure

structure

Citation

  • 초거대 AI 헬스케어 질의응답 데이터: AI 허브, 초거대 AI 헬스케어 질의응답 데이터
  • Gemma 2 Model: "Gemma 2: Improving Open Language Models at a Practical Size", 2023.
  • RAFT Methodology: "Adapting Language Model to Domain Specific RAG", arXiv preprint arXiv:2403.10131, 2023.
  • RAGAS Evaluation: "RAGAS: Automated Evaluation of Retrieval Augmented Generation", 2023.

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Frontend implementation of the Undoc medical consultation chatbot, built with Next.js.

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