The document discusses the transformative potential of graph technology in understanding relationships across various sectors. It highlights Neo4j's software capabilities in connecting enterprise graphs for decision-making and operational improvements, including significant applications like anti-money laundering and customer experience enhancement. Additionally, it addresses the integration of knowledge graphs to improve the accuracy of AI responses and mentions the challenges organizations face in adopting generative AI.

1. The Art of the
Possible With
Graph Technology
Emil Eifrém
Chief Executive Officer

2. Relationships are
all around us.
2

3. Relationships help us
understand the world.
3

4. 4
This is our Big Idea,
and we encode that
idea in software.

5. 5
With that software,
our customers
change the world.

6. Mission to
Mars
Curing
Cancer
Protecting
Democracy

7. The power of
the graph model

9. Graph is flexible

10. Employees
Network & Security
Suppliers
Product
Customers
Transactions
Process
Graph is insightful

11. 11
Trusted by 75 of the
8 / 10
Top Retailers
10 /10
Top Automakers
20 / 20
Top US banks
3 / 5
Top Aircraft Manufacturers
7 / 10
Top Telcos
3 / 5
Top Hotel Groups
8 / 10
Top Insurance Companies
5 / 5
Top Pharmaceuticals

12. Employees
Network & Security
Suppliers & Partners
Product
Customers
Finance
Process
The Seven Graphs
of the Enterprise

13. Supplier
Inventory
Product
Suppliers
Route Planning & Optimization
Real-time Shipment Tracking
Inventory Planning
Risk Analysis
Uncover patterns in your

14. Supplier
Inventory
Product
Suppliers
Uncover patterns in your

15. Supplier
Inventory
Product
Suppliers
Uncover patterns in your
Estimated annual
Economic savings
Estimated traffic
congestion reduction
10% £570M

16. Uncover patterns in your
Transactions
Product
Transactions
Anti-money Laundering
Circular Payments
Fraud Detection
Customer

17. Uncover patterns in your
Transactions
Product
Transactions
Customer

18. Uncover patterns in your
Transactions
Product
Transactions
Customer
Approves or rejects
applications in less than
two seconds
20% reduction in credit
application fraud

19. Talent Learning & Development
Career Management
Skills Management
Orgs (who is who)
Job Search Account/Identity Control
Reputation Scoring
Threat Detection
Access Control
Zero Trust
Route Planning & Optimization
Real-time Shipment Tracking
Inventory Planning
Risk Analysis
Product Recommendations
New Product Introductions
Product Customizations
Product Inventory
Product Pricing
Bottleneck Identification
Process Improvement
Process Automation
Process Monitoring
Recommendations
Loyalty Programs
Churn Prevention
Customer Offers
Dynamic Pricing
Intelligent Ads
Anti-money Laundering
Circular Payments
Fraud Detection
Employees
Network & Security
Suppliers
Product
Customers
Finance
Process
Connect Your Seven Graphs
to Drive Transformation

20. 20

21. Neo4j Inc. All rights reserved 2024
$11 $18 $37 $64
$128
$219
$340
$457
$611
$790
$981
$1,166
$1,361
2% 2%
4%
6%
7%
8%
10%
11%
12% 12%
0%
5%
10%
15%
20%
25%
30%
$-
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
2020 2022 2024 2026 2028 2030 2032
Generative AI Races
Toward $1.3 Trillion in
Revenue by 2032
Generative AI Revenue
Generative AI as a % of Total Technology Spend However, 71% of
organizations are
stuck piloting
GenAI projects
2024 IBM CEO Survey
Bloomberg Intelligence

22. Why are LLMs
hitting a barrier?
22

23. Language
Statistics
Creativity

24. Knowledge
Facts
Context
Language
Statistics
Creativity

25. Knowledge
Facts
Context
Language
Statistics
Creativity
KG LLM

26. Introduction to GraphRAG

27. GraphRAG is RAG where the R path includes
a Knowledge Graph.
What is ?

29. The core GraphRAG pattern is very simple, yet powerful.
1. Do a vector search to find an initial set of nodes
2. Traverse the graph around those nodes to add context
Optional: Rank the results using the graph and pass the top-k documents to the LLM
GraphRAG Retrieval Patterns

30. The Benefits of GraphRAG

31. Neo4j Inc. All rights reserved 2024
Design in prg
A Knowledge Graph improves
the accuracy of LLM responses
by 54.2%, an average of 3x
Higher Accuracy
1.

32. Feedback from an
AI Engineer
Easier
Development
2.
Redacted

33. Human View of an Apple LLM + Vector View of an Apple
Easier Development: Why
2.

34. Knowledge Graph View of an Apple LLM + Vector View of an Apple
2. Easier Development: Why

35. Easier Development: Why
Transparent & Explainable Opaque & Implicit
AI Engineer: "I actually already fixed a couple of bugs thanks to
this!”
2.

36. Detour! Knowledge Graph Creation
Unstructured data
Typically PDFs or other
text documents
Mix of structured &
unstructured data
Structured data with
long-form text
Structured data
Structured data with
short text values
Watch This Space!

37. Explainability & Governance
3.

38. The Benefits of GraphRAG
1. Higher
Accuracy
2. Easier
Development
3. Explainability
& Governance

39. Relationships are everywhere
And enable accurate & explainable AI
They power transformative use cases

40. Connect