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:
```
pip install torch torchvision
```
Set up NodeJS:
```
npm install express react react-dom
```

3.2. Database Configuration

Docker command for Neo4j setup:

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.