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

# GraphRAG

## Why It Belongs
GraphRAG 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-nyah-macklin-rag-needs-a-map-using-graphrag-to-retrieve-connected-context]] — RAG Needs a Map: Using GraphRAG to Retrieve Connected Context (Track 2 / Track 2)
- [[2026-07-01-stephen-chin-crabrag-why-automated-assistants-need-graph-memory-not-more-tokens]] — CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens (Graphs / Track 5)

### Public YouTube Metadata
- [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 J-9EbJBxcbg](https://www.youtube.com/watch?v=J-9EbJBxcbg) — Intro to GraphRAG — Zach Blumenfeld
- [YouTube c5qJHr3DnT4](https://www.youtube.com/watch?v=c5qJHr3DnT4) — GraphRAG methods to create optimized LLM context windows for Retrieval — Jonathan Larson, Microsoft
- [YouTube CzM3cW6FdBs](https://www.youtube.com/watch?v=CzM3cW6FdBs) — Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data — Zach Blumenfeld
- [YouTube tYCu_57jzL8](https://www.youtube.com/watch?v=tYCu_57jzL8) — The Knowledge Graph Mullet: Trimming GraphRAG Complexity - William Lyon
- [YouTube 2DyHW23L6Cs](https://www.youtube.com/watch?v=2DyHW23L6Cs) — Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal
- [YouTube knDDGYHnnSI](https://www.youtube.com/watch?v=knDDGYHnnSI) — GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
- [YouTube RR5le0K4Wtw](https://www.youtube.com/watch?v=RR5le0K4Wtw) — AI Engineer World’s Fair 2025 — GraphRAG

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

### Slide/OCR Pages
- [[youtube-eW_vxrjvERk-slides]]
- [[youtube-knDDGYHnnSI-dense-slides]]
- [[youtube-knDDGYHnnSI-reconstructed-slides]]
- [[youtube-knDDGYHnnSI-slides]]

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

### Transcript Files
- `raw/sources/youtube-transcripts/XovaGv4f39A.txt`

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