Dr. Jim Webber discusses the evolution of graph technology in AI, highlighting its role in enhancing AI accuracy and driving innovation in various applications like fraud detection and customer service. He emphasizes the importance of knowledge graphs and generative AI as essential components for the future of intelligent applications. The presentation outlines challenges and advancements in production maturity and the automated creation of knowledge graphs using large language models.

1. The Future of Graph
in AI Workloads
Dr. Jim Webber | Chief Scientist, Neo4j
Connecting the Dots

2. A decade+
of graph
innovation
GraphConnect London, October 2014

3. GraphConnect London, October 2014
A decade+
of graph
innovation

8. Unlocking the Power of Relationships
Faster time-to-market for
new models and features
Real-time pricing for
100+ markets

9. Unlocking the Power of Relationships
Knowledge graphs and
GenAI on AWS Bedrock
Data assets -> business value

10. Unlocking the Power of Relationships
Enhancing AI accuracy with
graph-powered context on
AWS Bedrock
Driving innovation in fraud
detection, risk management,
and customer service

11. LET’S BE HONEST

12. LET’S BE HONEST
🏗

13. + 😭
=
<dependency>
<groupId>org.neo4j</groupId>
<artifactId>neo4j</artifactId>
<version>0.8.0</version>
</dependency>
for ( Path position : db.traversalDescription()
.depthFirst()
.relationships( Rels.KNOWS )
.relationships( Rels.LIKES, Direction.INCOMING )
.evaluator( Evaluators.toDepth( 5 ) )
.traverse( node ) )
{
output+= position + “n”;
}

14. The early days

15. The early days Neo4j 1.0
2010

16. The early days Neo4j 1.0 Neo4j 2.0
2013
2010

17. Neo4j 3.0
The early days Neo4j 1.0 Neo4j 2.0
2013
2010 2016

18. Neo4j 3.0 Neo4j 4.0
The early days Neo4j 1.0 Neo4j 2.0
2013
2010 2016 2020

19. Neo4j 3.0 Neo4j 4.0 Neo4j 5.0
The early days Neo4j 1.0 Neo4j 2.0
2013
2010 2016 2020 2022

20. Build Apps, Not Infrastructure

21. Making Graph Technology Accessible to Everyone

22. AI + Knowledge Graphs:
The Next Frontier of
Intelligent Apps

23. LLMs
GenAI go-to-production barrier
GPT-3.5 Sparked the GenAI
Hockey Stick Moment

24. LLMs
RAG Raises the Ceiling
but it’s Still There
RAG
GenAI go-to-production barrier
Go-to-production
use cases unlocked
with RAG

25. LLMs
GraphRAG Unlocks GenAI
GraphRAG

26. AI Investors Demand
ROI as Pressure Mounts
Reality: High Hopes, Low
Production Maturity

27. RAG

28. GraphRAG

30. GraphRAG Auto-Tuning:
Using LLMs to Create Knowledge
Graphs for Your Data
Automatically
creates prompts
specific to your
domain
Adapts quickly
to new datasets
with less manual
work
Extracts more
relevant entities
and relationships
for your use case

31. Looking to the Future: Agentic AI

32. Today we tackled
the what and the why.
Tomorrow we’ll bend
the how!