Structured and Unstructured Data

As you have learned in previous lessons, a key challenge in data science is making sense of unstructured data. In this lesson, you will explore a strategy for storing unstructured data in a graph.

Vector indexes and embeddingsiFull definition for embedding (opens in a new tab)Information represented as a numerical vector, positioned so that similar information sits close together. go some way to allow you to search and query unstructured data, but they are not a complete solution. You can use the metadata surrounding the unstructured data to help make sense of it.