# User Manual for Active Graph Networks (AGNs)

## 1. Introduction
Welcome to the User Manual for AGNs. This guide provides step-by-step instructions on using the system, managing data, and interacting with the application interface.

## 2. System Requirements
- Python 3.x environment
- NodeJS and React for UI components
- Cloud deployment access (Azure, AWS, or GCP)
- Neo4j Graph Database setup

## 3. Installation and Setup
### 3.1. Installing Dependencies
Follow these steps to set up the system:
- Install Python packages using:
  ```bash
  pip install torch torchvision
  ```
- Set up NodeJS:
  ```bash
  npm install express react react-dom
  ```
### 3.2. Database Configuration
- Docker command for Neo4j setup:
  ```bash
  docker run -p 7474:7474 -p 7687:7687 -d neo4j
  ```
- **[User input required]**: Ensure you have the correct database credentials and access policies configured.

## 4. Navigating the User Interface
### 4.1. Dashboard Overview
The dashboard provides an overview of key metrics and system performance.
- **Patient Management** (for healthcare use cases): Displays patient records, real-time analytics, and treatment history.
- **Trading Module** (for financial use cases): Showcases trading indicators, historical data, and live market updates.

### 4.2. API Integration
- Instructions for integrating external APIs (HL7, FIX) for custom data sources.
- **[User input required]**: Add your organization’s specific integration details here.

## 5. Troubleshooting
Common issues and fixes:
- **Database Connectivity Issues**: Verify Neo4j configuration.
- **Authentication Errors**: Ensure API keys are securely stored in Azure Key Vault.