Bio
Zach Blumenfeld is an AI/ML graph specialist at Neo4j who helps engineers, data scientists, and business leaders use graph technology for analytics and intelligent applications, including GraphRAG, agentic systems, fraud detection, entity resolution, and recommendation engines.
Session (1)
Additional Speaker Details
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Zach Blumenfeld is an AI Research Engineer at Neo4j who teaches engineers how to make AI agents more accurate and context-aware using knowledge graphs. His AI Engineer talks walk through real GraphRAG implementation patterns — from knowledge-graph construction to agentic retrieval and decision traces. If you are building LLM-powered agents and want grounded techniques for improving context and reasoning quality, his session will be immediately applicable.
Speaking style
Recent talks (3)
GitHub
@zach-blumenfeld- zach-blumenfeld/graph-nd★ 17GraphRAG: Knowledge in Graphs not Documents — a Python package for building end-to-end agentic GraphRAG systems
- zach-blumenfeld/demo-news-recommendation★ 30Exploring news recommendation with Neo4j Graph Data Science (archived)
- zach-blumenfeld/demo-lp-for-entity-resolution★ 22Supervised ML approach for entity resolution in graphs using Neo4j GDS Link Prediction Pipelines
- neo4j-product-examples/genai-workshoporg★ 181Generative AI Deep Dive Workshops — Blumenfeld is the dominant contributor / lead maintainer
- neo4j-product-examples/graphrag-examplesorg★ 162Example GraphRAG patterns — Blumenfeld is the dominant contributor / lead maintainer
Recent writing (2)
- Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability · blog · Feb 2026
- Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes · blog · Oct 2025