Mix and Batch is a technique used in Neo4j for faster data loading, reducing the time it takes to load large datasets. The use of Knowledge Graphs has been shown to improve the performance of Large Language Models (LLMs) by providing up-to-date information and reducing AI hallucinations. Graph analysis was applied to the 2024 Olympics, revealing hidden patterns and connections between nations and sports. A CSV file can be converted into a Neo4j graph database using various methods, including the use of RAG system. The power of graph databases is being showcased in various projects and applications, such as data loading, knowledge graphs, and analysis of complex networks like the Olympics.