GregLab | Exam Prep

Database

Amazon Neptune

Amazon Neptune is a managed graph database supporting property-graph and RDF workloads. A GenAI application can combine graph relationships with retrieval to answer connected, provenance-sensitive questions.

Key points

  • Gremlin and openCypher address property graphs while SPARQL addresses RDF
  • Read replicas scale graph-query traffic
  • Neptune Analytics and database capabilities should not be treated as interchangeable deployment modes

When to use it

  • Retrieve connected entities for GraphRAG
  • Trace policy, asset, and owner relationships for an agent

Exam tips

  • Choose Neptune when traversals are central; a vector store remains better for semantic similarity alone
  • Enforce authorization during traversal because filtering only the final answer can expose restricted relationships

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