A data scientist and the Apache TinkerPop gremlin composing a Gremlin traversal together at a monitor

Graph Query Advisory Session

Knowledge Graphs & Agentic Memory — giving your agents somewhere durable to think. Half an hour on the shape of the knowledge your system depends on.

What people bring to this session

  • Your agents need shared memory and you are choosing among a graph, a vector store, and a folder of markdown files.
  • Two agents write to the same knowledge base and neither can tell what the other changed.
  • Your retrieval returns things that are similar and not things that are relevant.
  • You are modelling a domain and cannot decide what deserves to be a node and what is merely a property.
  • Your graph has grown and traversals now reach much further than you intended.
  • You suspect a graph is the wrong tool here and want somebody to say so plainly.

I am a Neo4j Certified Professional working daily in Cypher, Gremlin, and SPARQL. My own agents coordinate through a live knowledge graph of roughly ten thousand thoughts that they read, write, and occasionally disagree over — which is where the interesting problems live.

Thirty minutes at $100, or a full hour at $200. Choosing a session takes you to my calendar to pick a time and settle up.

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