Pharmaceutical Company Regulatory Document Intelligent Generation System

📋 Project Overview

We developed a multi-Agent collaborative regulatory document intelligent generation system for a pharmaceutical company, aimed at automating the processing of drug prescription data and generating standardized compliance documents and product introduction materials according to regulatory requirements. Traditional pharmaceutical regulatory document creation requires extensive manual review and professional knowledge, is time-consuming and error-prone. This system adopts the AutoGen multi-Agent framework, combined with Weaviate vector database RAG architecture, achieving end-to-end automated workflow from data input to document output through collaboration of three specialized agents: Creator, Evaluator, and Revisor, providing enterprise-grade AI solutions for compliance document generation in the pharmaceutical industry.

🚀 Key Features

Core Implementation

• AutoGen Multi-Agent Collaborative Framework: Deployed Creator, Evaluator, and Revisor three specialized agents, ensuring document quality through multi-round collaboration
• Weaviate Vector Database RAG: Built knowledge base containing regulatory guidelines and templates, achieving intelligent context retrieval
• Prefect Workflow Automation: Orchestrated complex document generation tasks, supporting parallel processing and error retry mechanisms
• Multi-format Document Output: Supported regulatory document generation in multiple formats including HTML, PDF, Word
• Enterprise Cloud Deployment: Successfully deployed to Azure production environment, supporting actual business requirements

Technical Highlights

• Multi-Agent Quality Assurance: Creator responsible for content generation, Evaluator for compliance checking, Revisor for format and content optimization
• FLAML Automated Machine Learning: Achieved automatic optimization of model parameters and performance enhancement
• Kubernetes Container Orchestration: Supported high availability and scalable production environment deployment
• Azure DevOps CI/CD: Implemented continuous integration and automated deployment processes

💻 Project Detail

Our multi-Agent intelligent document generation system addresses the complexity challenges of compliance document creation in the pharmaceutical industry:

1. Intelligent Data Input Processing:

2. Automatically read and parsed prescription drug data

3. Supported multiple data format inputs, including structured and unstructured data

4. Data cleaning and standardization processing to ensure input quality

5. Multi-Agent Collaborative Generation:

6. Creator Agent: Generated initial document content based on input data and regulatory requirements

7. Evaluator Agent: Performed compliance checks, ensuring documents met latest regulatory requirements
8. Revisor Agent: Optimized content format, improved expression and structure

9. Through multi-round collaborative iterations, ensured professionalism and accuracy of final output

10. Weaviate RAG Knowledge Retrieval:

11. Built vector database containing regulatory guidelines, templates, and historical cases

12. Intelligent retrieval of relevant regulatory clauses and standard templates

13. Ensured generated content complied with latest compliance requirements

14. Prefect Workflow Orchestration:

15. Achieved automated orchestration and scheduling of complex tasks

16. Supported parallel processing to improve generation efficiency

17. Error handling and retry mechanisms ensured reliable task completion

18. Enterprise Deployment Architecture:

19. Docker containerization packaging ensured environment consistency
20. Kubernetes cluster deployment supported elastic scaling
21. Azure DevOps implemented CI/CD processes
22. Stable operation in production environment, supporting actual business requirements

📊 Project Impact

Regulatory Compliance Efficiency Enhancement:

• Transformed traditional manual document creation into automated generation, significantly reducing document preparation time
• Ensured document quality and compliance through multi-Agent collaboration, reducing manual review costs
• Standardized document generation processes improved content consistency

Technical Architecture Value Validation:

• Successfully deployed to Azure production environment, handling actual business traffic
• Validated practicality of multi-Agent collaboration in complex business scenarios
• Provided replicable technical architecture for AI applications in pharmaceutical industry

Business Process Optimization:

• Supported version control and audit tracking, meeting regulatory compliance requirements
• Provided stable regulatory document generation services for clients
• Promoted digital transformation processes in pharmaceutical enterprises

🛠️ Technology Stack

Multi-Agent Framework:
  - AutoGen (Multi-Agent Collaborative Framework)
  - Creator Agent (Content Generation Agent)
  - Evaluator Agent (Quality Assessment Agent)
  - Revisor Agent (Content Revision Agent)

AI & Machine Learning:
  - Weaviate Vector Database (Vector Database)
  - RAG Architecture (Retrieval-Augmented Generation)
  - FLAML AutoML (Automated Machine Learning)
  - Jinja2 (Template Engine)

Workflow Orchestration:
  - Prefect (Workflow Orchestration)
  - Task Scheduling (Task Scheduling)
  - Error Handling (Error Handling)
  - Parallel Processing (Parallel Processing)

Document Processing:
  - python-docx (Word Document Processing)
  - PyPDF2 (PDF Document Generation)
  - openpyxl (Excel Document Processing)
  - Multi-format Output (Multi-format Output)

Cloud Infrastructure:
  - Azure (Cloud Platform)
  - Docker (Containerization)
  - Kubernetes (Container Orchestration)
  - Azure DevOps (CI/CD)

Data Storage:
  - MinIO (Object Storage)
  - PostgreSQL (Relational Database)
  - Vector Storage (Vector Storage)

Development:
  - Python (Core Development Language)
  - Version Control (Version Control)
  - Audit Trail (Audit Trail)

This project demonstrates practical application of multi-Agent collaborative architecture in pharmaceutical regulatory document generation, providing advanced enterprise-grade technical solutions for digital compliance management in the pharmaceutical industry.