Neo4j - Frontier Models

There are 13 items in this page

01:59:10

Tutorials2 months ago

AI on Your Lakehouse: Context Comes in Shapes, Not Queries — Zach Blumenfeld, Neo4j

Zach Blumenfeld, AI research engineer at Neo4j, leads a hands-on workshop at AI Engineer World's Fair on using graph databases to giv...

19:38

Case Studies2 months ago

Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase

Ritvik Pandya, who leads the payments team at JP Morgan Chase, presented at AI Engineer on a production system built around what he c...

20:30

Case Studies2 months ago

Your Moat Is Your Data Model — Mike Phipps, Gates Foundation

Mike Phipps from the Bill & Melinda Gates Foundation presented at AI Engineer on the Strategic Intelligence Platform (SIP) — an enter...

20:42

Deep Dives2 months ago

CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens — Stephen Chin, Neo4j

Stephen Chin, head of developer relations at Neo4j, delivered a conference talk at AI Engineer presenting CrabRAG — a graph-based mem...

11:06

News & Opinion2 months ago

Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer — Emil Eifrem, Neo4j

In this AI Engineer conference keynote, Neo4j CEO Emil Eifrem presents what he calls the "thin agents on a smarter shared substrate"...

55:19

Coding & Builds2 months ago

Stop AI Agent Hallucinations: 5 Techniques + Production Patterns – Elizabeth Fuentes, AWS

Elizabeth Fuentes Leon, AWS developer advocate, presents five code-level techniques to cut AI agent hallucinations at the AI Engineer...

17:50

News & Opinion3 months ago

6 Things to Know about AIE World’s Fair 2026

Swix, co-founder of AI Engineer, delivers a behind-the-scenes update on the AI Engineering World's Fair 2026 — the largest event in t...

20:12

Deep Dives4 months ago

Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j

Zach Blumenfeld, a research engineer at Neo4j, delivers a conference talk explaining why AI agents need more than a standard knowledg...

16:39

Deep Dives4 months ago

Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j

At the AI Engineer conference, Neo4j's Andreas Kollegger and Zaid Zaim present 'context graphs' — a framework for making AI agents no...

31:26

Deep Dives4 months ago

AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs

Nyah Macklin, a senior software engineer and researcher specializing in graph algorithms and AI governance, argues at AI Dev 26 San F...