---
title: "Neo4j"
category: "tools"
aliases: ["Neo4j"]
sourceLabels: ["Official schedule", "Public YouTube metadata", "Transcript evidence", "Local slide OCR", "Topic synthesis"]
scheduleTracks: ["Track 2", "Graphs", "AI in Finance"]
scheduleRooms: ["Track 2", "Track 5", "Track 3"]
---

# Neo4j

## Why It Belongs
Neo4j appears as a high-confidence tool, platform, model, protocol, product, or service in the AI Engineer World's Fair 2026 corpus.

This page records confirmed mentions and keeps them separate from broader inferred relevance.

## Confirmed Evidence

### Official Schedule
- [[2026-06-29-zach-blumenfeld-ai-on-your-lakehouse-context-comes-in-shapes-not-queries]] — AI on Your Lakehouse: Context Comes in Shapes, Not Queries (Track 2 / Track 2)
- [[2026-07-01-mike-phipps-your-moat-is-your-data-model]] — Your Moat Is Your Data Model (Graphs / Track 5)
- [[2026-07-01-frank-coyle-why-agentic-systems-need-ontologies]] — Why Agentic Systems Need Ontologies (Graphs / Track 5)
- [[2026-07-01-sai-krishna-rallabandi-wearing-the-agent-engineering-a-family-and-friends-personal-agent-from-group-chats-to-glasses]] — Wearing the Agent: Engineering a Family-and-Friends Personal Agent, from Group Chats to Glasses (AI in Finance / Track 3)

### Public YouTube Metadata
- [YouTube B9h9ovW5H9U](https://www.youtube.com/watch?v=B9h9ovW5H9U) — Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
- [YouTube abvQEhvRI_c](https://www.youtube.com/watch?v=abvQEhvRI_c) — Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
- [YouTube eW_vxrjvERk](https://www.youtube.com/watch?v=eW_vxrjvERk) — Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
- [YouTube LLuKshphGOE](https://www.youtube.com/watch?v=LLuKshphGOE) — Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4j
- [YouTube XNneh6-eyPg](https://www.youtube.com/watch?v=XNneh6-eyPg) — Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j
- [YouTube AvVoJBxgSQk](https://www.youtube.com/watch?v=AvVoJBxgSQk) — Agentic GraphRAG: AI’s Logical Edge — Stephen Chin, Neo4j
- [YouTube CbiR9xS2skQ](https://www.youtube.com/watch?v=CbiR9xS2skQ) — Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies - Jesús Barrasa, Neo4j
- [YouTube GGxAQVbwBL4](https://www.youtube.com/watch?v=GGxAQVbwBL4) — Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics - Alison & Andreas, Neo4j
- [YouTube OpVkWc3YnFc](https://www.youtube.com/watch?v=OpVkWc3YnFc) — Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j)

### Resource Pages
- [[advanced-slide-logic-page-audit]]
- [[talk-video-transcript-map]]
- [[youtube-B9h9ovW5H9U]]
- [[youtube-eW_vxrjvERk]]

### Slide/OCR Pages
- [[youtube-1t-9-s1brcg-slides]]
- [[youtube-5_QWh4LGoxg-slides]]
- [[youtube-5nOLb27hQ5w-slides]]
- [[youtube-B9h9ovW5H9U-dense-slides]]
- [[youtube-B9h9ovW5H9U-reconstructed-slides]]
- [[youtube-B9h9ovW5H9U-slides]]
- [[youtube-eW_vxrjvERk-dense-slides]]
- [[youtube-eW_vxrjvERk-reconstructed-slides]]
- [[youtube-eW_vxrjvERk-slides]]
- [[youtube-himhGiWJXjo-slides]]

### Topic Pages
- [[agent-memory]]
- [[agentic-search]]
- [[mcp]]

### Transcript Files
- `raw/sources/youtube-transcripts/0S8xe9ftGTM.txt`
- `raw/sources/youtube-transcripts/B9h9ovW5H9U.txt`
- `raw/sources/youtube-livestream-transcripts/I2cbIws9j10.txt`

## Confidence
High confidence for presence in the corpus. Interpret broader importance through the linked schedule, transcript, slide, and topic evidence.