Summary
In this chapter, we looked at how to look at a graph data model and how building a model based on how we consume it makes it easier to retrieve the data efficiently. We looked at the H&M recommendations dataset and loaded it using those principles, and also augmented it using the properties and our understanding of that data. This added more context to the graph and also made it simple to query the data – queries are more readable and explainable to others in a simpler way.
In the next chapter, we will build on this data, using an LLM to enhance it further, and will see how LLMs can provide us with more capable knowledge graphs.
