Turning data into knowledge

During this course, you have learned how you can use Neo4j to turn knowledge into data, the first step in creating a knowledge graphA representation of real-world entities and their relationships, stored according to organizing principles, typically in a graph database.. Knowledge graphs are a powerful way to represent and query complex interconnected data.

Knowledge graphs are essential to many AI and machine learning applications. You can use a knowledge graph to give context and ground an LLMA model trained on text to predict the next token, and so to generate language., giving it access to structured data beyond its initial training data.