The VectorCypherRetriever class from the GraphRAG Python package enables users to build a simple GraphRAG application by incorporating a graph-traversal step in addition to an initial vector retrieval step. This allows the LLM to answer certain questions about a knowledge graph that it would not have been able to answer using the VectorRetriever class alone. By utilizing Cypher queries, users can specify exactly what additional information to fetch along with the node retrieved through the initial vector search step. The package provides an OpenAI key for exporting and authentication purposes, and its code is open source, available on GitHub. Users are encouraged to use the package in their projects and share their insights via comments or on the GraphRAG Discord channel.