The document discusses the advantages of graph technology for unlocking valuable data insights across various business operations and industries. It highlights how incorporating graph models can lead to improved performance, efficiency, and decision-making through the connection and analysis of complex relationships. Additionally, it introduces a new method, 'graphrag,' which enhances AI accuracy and explainability using knowledge graphs.

1. The Art of the Possible
With Graph Technology
Kris Payne | Director Technology Solutions - APAC, Neo4j

2. Your business
is agile and
dynamic

3. But your data
is locked in
rows and
columns

4. Valuable
patterns are
hidden in
your data

5. Model your
data like
your
business

6. Data,
meet graph
Employees
Network & Security
Suppliers
Product
Customers
Transactions
Process

7. Anyone new to graphs?

8. The power of
the graph model

9. The power of
the graph model

10. The power of
the graph model

11. The power of
the graph model

12. The power of
the graph model

13. The power of
the graph model

14. The power of
the graph model

16. Graph is flexible

17. Employees
Network & Security
Services
Citizens
Transactions
Process
Suppliers
Graph is insightful
Employees
Network & Security
What’s important?
Process
Suppliers
What’s unusual?
Services
Transactions
Citizens
What’s next?

18. Mission to
Mars
Curing
cancers
Protecting
democracy

19. Setting the pace
Open Source
Release
2007
Cypher Query
Language Launch
2011
Neo4j Graph Data
Science Launch
2020
ISO announces
GQL Standard
2024
First Production-
Ready Deployment
2009
Neo4j AuraDB Launch
2019 Native Vector Search
Capabilities in Neo4j
2023

20. 21
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

21. Uncover patterns in your
Assets Location
Access
Patterns
Network & Security
Account/Identity Control
Adaptive & Intelligent
Reputation Scoring
Threat Detection
Access Control
Zero Trust
network and security data

22. Uncover patterns in your
Assets Location
Access
Patterns
Network & Security
network and security data

23. Uncover patterns in your
Assets Location
Access
Patterns
Network & Security
network and security data
50% reduction in
capacity planning time
Thousand-fold
performance improvement

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

25. Uncover patterns in your
Transactions
Product
Transactions
Customer
transactions data

26. 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
Transactions
Process
Connect your seven graphs
to drive transformation

27. 28

28. 29
0%
8%
15%
22%
30%
$- 0
$350
$700
$1,050
$1,400
2020 2022 2024 2026 2028 2030 2032
$1,361
$1,166
$981
$790
$611
$457
$340
$219
$128
$64
$37
$18
$11
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

29. Language
Statistics
Creativity

30. Knowledge
Facts
Context
Language
Statistics
Creativity

31. Knowledge
Facts
Context
Language
Statistics
Creativity
KG LLM
GenAI needs Knowledge Graphs

32. Introduction to GraphRAG

33. GraphRAG is RAG where the R path includes
a knowledge graph.
What is GraphRAG?

35. 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 results to the LLM
GraphRAG retrieval patterns

36. The benefits of GraphRAG

37. Neo4j Inc. All rights reserved 2024
Design in prg
3X
A knowledge graph improves
the accuracy of LLM responses
by 54.2%, an average of 3x
Higher accuracy
1.

38. Natural language description: “Apples & oranges are both fruits”
Easier development: Why
2.
F
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m
T
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e
G
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n
g
M
e
t
a
S
e
r
i
e
s

39. Easier development: Why
2.
Natural language description: “Apples & oranges are both fruits”
F
r
o
m
T
h
e
G
o
i
n
g
M
e
t
a
S
e
r
i
e
s

40. Easier development: Why
Opaque & Implicit
2.
Transparent & Explainable
AI Engineer: "I actually already fixed a couple of bugs thanks to this!”
[ 3.9150659e-03 2.6659777e-03 1.0298982e-03 -2.7156321e-03
1.9977870e-03 11204436e-03 1.2055682e-04 1.0450699e-03
-6.4308796e-04 3.0822519e-03 2.1972554e-03 5.1480172e-05
-3.7099270e-03 3.9439583e-03 6.8276987e-04 7.7137066e-0u-4
2.3698520e-03 -7.8547641e-04 6.0383842e-04 4.6370425e-03
-1.6786088e-03 1.7417425e-03 2.4216413e-03 3.6545738e-03
-1.9871239e-O3 2.9489421e-03 -1.2810023e-03 -4.9174053e-04
-3.9743204e-03 -2.7023794e-03 -3.0541950e-04 -1.5724347e-03
-2.1029566e-03 -2.1624754e-03 2.1620055e-04 4.4000515e-03
4.0824865e-03 4.6588355e-04 3.5028579e-03 4.8283348e-03
-2.8737928e-03 -4.5569306e-03 -7.6568732e-04 -3.3311991e-03
3.5790715e-03 4,2424244e-03 3.3478225e-03 -7.4140396e-04
1.0030111e-03 -5.2394503e-04 5.8383477e-04 -4.8430995e-03
2.6972082e-03 -4.8002079e-03 -2.3011414e-03 8.0388715e-04
3.1952575e-05 -8.1621204e-04 -3.8127291e-03 -6.7428290e-04
-1.7713077e-03 -3.0159748e-03 1.7178850e-03 -1.9258332e-03
-2.4637436e-03 3.3779652e-03 2.7676420e-03 1.8853768e-03
-2.4718521e-03 -1.9754141e-03 2.6104036e-03 -2.1335895e-03
2.4405334e-03 -3.2013952e-04 3.9961869e-03 4.0419102e-03
2.058682-3e-03 4.9897884e-03 4.5599132e-03 -1.0976522e-03
1.5563263e-03 3.9063310e-03 -2.9308300e-03 -4.8254002e-03
-8.7642738e-06 3.9748671e-03 5.2895391e-04 6.3330121e-04
-1.2614765e-03 -8.5018738e-04 3.7659388e-03 3.0237564e-03

41. Explainability & governance
3.
Connect to Neo4j

42. The benefits of GraphRAG
1. Much Higher
Accuracy
2. Easier
Development
3. Explainability
& Governance

43. Employees
Network & Security
Suppliers
Product
Customers
Transactions
Process
Graph is the ideal
layer for GenAI

44. Connect to Neo4j
Upload Files
Generate Graph
1.
2.
3.
3 Simple Steps
Automatically build a KG for GenAI
Pdf, YouTube,
cloud storage,
Wikipedia
View and Explore your Graph Power GraphRAG

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

46. How will you change
your world with graph?