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Conversational Agent

1

Creating Vector Embeddings

Vectors can represent more than just words. Vectors play a crucial role in semantic search by representing the complex nature of language and meaning. Neo4j enhances this capability with support for vector indexes and querying, enabling searches based on the vector representations of nodes.

2

Creating the Vector Index

Vector indexes enable similarity searches and complex analytical queries by representing nodes or properties as vectors in a multidimensional space

Vector Store & LangGraphGraphQL and Neo4j