The biggest problem with traditional database systems is that the intricate context around the data — how everything fits together — often gets lost. It’s like trying to understand a complex codebase without any documentation or understanding of the relationships between different modules. Over time, traditional databases become increasingly difficult to maintain and modify, which steadily erodes their business value.A knowledge graph solves these problems. Rather than holding data static in rows and columns, a knowledge graph organizes information in its natural form: a web of interconnected entities. A flexible schema makes it simple to add new entities and relationships as they emerge. Patterns that get lost easily in a traditional database, such as similar purchasing behaviors or fraudulent transactions, are clearly visible in a knowledge graph.This guide walks you through everything you need to know to build your first knowledge graph. You’ll learn core concepts and how to think about modeling data with relationships. Then, you’ll set up your own knowledge graph and start querying it to answer questions that you can’t answer in a “traditional database.

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