Posts By

Zach Blumenfeld

AI Research Engineer, Neo4j

Zach Blumenfeld is an AI/ML graph engineer at Neo4j who helps developers, data scientists, and business leaders leverage graph technology for analytics and intelligent applications. His expertise spans several dynamic fields, including GraphRAG and agentic systems, criminal fraud detection, entity resolution, and recommendation engines.

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

7 min read
Illustration showing how vector similarity, Cypher templates, and text-to-Cypher meet to create the Aura Agent

Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes

14 min read
GraphRAG Python package.

GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs

11 min read
What is retrieval-augmented generation RAG)?

What Is Retrieval-Augmented Generation (RAG)?

5 min read

The Definitive Guide to Building a Predictive Model in Python

11 min read

Predictive Modeling Techniques: Types, Benefits & Algorithms

12 min read

Demystifying Graph Neural Networks

2 min read

Graph Data Science for Supply Chains – Part 3: Pathfinding, Optimization, and What-If Scenarios

15 min read

Introducing the New Neo4j Data Warehouse Connector

4 min read

Graph Data Science for Supply Chains – Part 2: Creating Informative Metrics and Analyzing Performance in Python

10 min read

Graph Data Science for Supply Chains – Part 1: Getting Started with Neo4j GDS and Bloom

13 min read

Exploring Fraud Detection With Neo4j & Graph Data Science  –  Part 4

8 min read