Vector indexes

In this module, you will learn how to work with vector embeddingsInformation represented as a numerical vector, positioned so that similar information sits close together. and vector indexes in Neo4j. Vector indexes allow you to perform fast similarity search across millions of nodesA vertex in a graph. In a property graph it can carry labels and properties. using cosine or Euclidean similarity.

In this module, you will learn:

• What embeddings are and how to load them into Neo4j
• How to create and query vector indexes in Neo4j
• The different similarity functions available in Neo4j

You will use a dataset of questions and answers to practice creating and querying vector indexes.

If you are ready, let's get going!