Vector + Cypher retriever

The chunks in the knowledge graphA representation of real-world entities and their relationships, stored according to organizing principles, typically in a graph database. include vector embeddingsInformation represented as a numerical vector, positioned so that similar information sits close together. that allow for similarity search based on vector distance.

In this lesson, you will create a vector retrieverA component that searches a data source and returns the information relevant to a query. Often used to provide context for a language model. that uses these embeddings to find the most relevant chunks for a given query.