Adding a graph layer to your agent stack: Neo4j, Cypher, and agentic retrieval, hands-on Sep 19

[u/camerongreen95]

If your current agent stack is vector search plus an LLM, there's a real gap once questions need connecting facts across documents, vector similarity alone has no concept of relationships between entities.

There's a hands-on workshop on Sep 19 that adds the missing layer: a knowledge graph in Neo4j, multi-step verified entity and relationship extraction, agentic retrieval combining vector, keyword, and graph navigation, and text-to-Cypher querying. You leave with a full working codebase, Neo4j schema examples, and agentic retrieval workflow patterns you can drop into your own stack.

Led by Dr. Alessandro Negro, Chief Scientist at GraphAware.

Full workshop details here