Vector Indexes
In the last lesson, you learned about iFull definition for embedding (opens in a new tab)Information represented as a numerical vector, positioned so that similar information sits close together., vectors and their role in iFull definition for retrieval-augmented generation (opens in a new tab)Fetching relevant context from an external data source as additional context to inform a language model's response..
In this lesson, you will learn how to use a iFull definition for vector index (opens in a new tab)A structure over a vector property. The database searches it to find the vectors nearest a given one, rather than comparing every vector stored. in Neo4j to compare embeddings to find similar data.
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