Ivan Despot's tutorial guides readers through the process of creating a basic web application using Flask that employs a graph database, specifically Memgraph DB, to store and visualize a social network graph. The tutorial highlights the advantages of using graph databases over traditional SQL databases for handling complex datasets with numerous relationships, like social networks. It involves setting up a Python environment with tools like Poetry for dependency management and Docker for containerization, which ensures compatibility across different operating systems. The tutorial includes detailed instructions on creating project structures, managing dependencies, and running the application in Docker, as well as developing a simple web page with Flask and D3.js for visualizing the graph. It further explains how to interact with the database using openCypher queries and provides additional functionalities for debugging and querying data. The tutorial aims to demonstrate the ease of integrating a graph database into web development, encouraging developers to explore its potential for real-time data analysis and complex relationship modeling.