Cleanroom Design Assistant (Multimodal RAG System)
A Next-Generation Solution for Medical Cleanroom Design Support
Empowering Healthcare Facilities and Pharmaceutical Cleanroom Engineering
Overview
This project implements a multimodal Retrieval-Augmented Generation (RAG) assistant specialized in medical cleanroom design, offering professional Q&A services and technical support for healthcare facilities and pharmaceutical production environments. The system integrates domain-specific knowledge databases with advanced AI capabilities to deliver contextualized solutions.
Key Features
- Hospital Cleanroom Expertise: Specialized in ORs, isolation wards, and sterile processing departments
- Pharmaceutical Facility Support: GMP-compliant solutions for production areas and laboratories
- Multimodal Intelligence: Combines structured data, technical documents, and AI reasoning
- Context-Aware Responses: Sophisticated retrieval mechanisms for accurate technical guidance
This is an early-stage prototype developed under tight time constraints.
You may encounter bugs or incomplete features.
Future Plans
Continuous improvements and bug fixes
Deployment as a full-featured website
Cloud-hosted API for seamless integration
Feedback & Contributions
If you're interested in our project or have any suggestions, please feel free to leave an issue on GitHub or reach out via email. Thank you for your interest and support!
Getting Started
Project Structure
|
+-- app.py # Ye Mian Da Jian ----Streamlit Zhu Ru Kou
+-- requirements.txt # Yi Lai Lie Biao
+-- data # Yuan Shi Shu Ju Ku
+-- core/ # He Xin Dai Ma
| +-- utils/ # Wen Jian Du Qu
| +-- Embeddings/ # Wen Ben Qian Ru
| +-- VetorBase/ # Pei Zhi Ben Di Xiang Liang Shu Ju Ku
| +-- img_storage_prepare/ # Tu Pian Shu Ju Xiang Liang Hua Han Shu
| +-- text_storage_prepare/ # Wen Ben Shu Ju Xiang Liang Hua Han Shu
| +-- img_storage_update/ # Geng Xin (Shan Jian )Tu Pian Shu Ju Ku
| +-- storage_prepare/ # Shu Ju Ku Zhun Bei
| +-- LLM/ # LLMPei Zhi Mo Kuai
| +-- Multimodel_LLM/ # Duo Mo Tai (Wen Ben +Tu Pian )Jian Suo Sheng Cheng
| +-- Local_ChatLLM/ # Ben Di Jian Dan Ce Shi
| +-- config.py # Di Zhi Pei Zhi Wen Jian
+-- .env/ # api_keyBen Di Pei Zhi (Fei Bi Xu )
Prerequisites
- Python 3.9+
Installation
cd Cleanroom-RAG
pip install -r requirements.txt
Usage
This will launch the Cleanroom Design Assistant in your default web browser.