SlideShare a Scribd company logo
Neo4j Inc. All rights reserved 2023
Dr. Jesús Barrasa, Head of Solutions Architecture EMEA
Neo4j Inc. All rights reserved 2024
The World
Is Changing
2
Neo4j Inc. All rights reserved 2024
THE WORLD IS CHANGING
Massive Technology
Trends Are Transforming
Industries
3
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
To thrive in this new
world, your organization
must derive insights from
data to create knowledge
Neo4j Inc. All rights reserved 2024
Explore the connections in your data to
unlock deeper insights
Neo4j Inc. All rights reserved 2023
6
A ring…
or a money laundering scheme
Neo4j Inc. All rights reserved 2023
7
r a critical device in a network
or a critical device in a network
A star…
Neo4j Inc. All rights reserved 2023
8
or a community of people
A cloud…
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
Graph creates a
connected view of data
that is intuitive and
actionable.
9
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
10
The Property Graph: Simply Powerful
Employee City
Company
Nodes represent
objects (nouns)
Relationships are directional
Relationships connect nodes are
represent actions (verbs)
Relationships can have
properties (name/value pairs)
Nodes can have properties
(name/value pairs)
name: Amy Peters
date_of_birth: 1984-03-01
employee_ID: 1
:HAS_CEO
start_date: 2008-01-20
:LOCATED_IN
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
11
Cypher (GQL): Pattern Based
MATCH (p:Employee {employee_ID: 1})-[r:WORKS_AT*..3]-(c:Company)
RETURN c.name as company, count(*) as strength
ORDER BY strength DESC
Node
Pattern
Relationship
Pattern
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
12
https://www.iso.org/standard/76120.html
“Neo4j Welcomes
New GQL
International
Standard in Major
Milestone for
Database Industry”
https://neo4j.com/press-releases/gql-standard/
SAN MATEO, Calif. – April 17, 2024
Neo4j Inc. All rights reserved 2024
Revealing patterns in data for
deeper insight and knowledge
+
Relationships
+
Domain
Terminology
13
Data Graph Knowledge Graph
Dynamic context
Raw facts and figures Deep dynamic context
Neo4j Inc. All rights reserved 2024
14
Chapters on:
• Pattern detection
• Dependency
• Identity
• Semantic search
• Enrichment with GDS
• Graph native ML
Neo4j Inc. All rights reserved 2024
Real-time fraud
detection
Supply chain
resilience
Customer
experience
Digital Twins
Drug
discovery
Digital twin
Neo4j Inc. All rights reserved 2024
Uncovering knowledge from data drives innovation
16
Neo4j Inc. All rights reserved 2024
An Unfair Advantage
Tech giants have long used graphs
for breakthroughs. But graphs are no longer
exclusively theirs.
17
Neo4j Inc. All rights reserved 2024
Helping solve the world’s most challenging
problems across every industry
Financial
Services
Telco Retail Manufacturing Life
Sciences
Technology Logistics Government
18
We found Neo4j to be literally thousands of times
faster than our prior MySQL solution, with queries
that require 10-100 times less code.
- Dr. Volker Pacher, Senior Staff Architect at eBay
Deployed a Neo4j-powered
digital twin of London's
intricate transport
network, enabling real-
time incident response to
cut congestion and drive
significant economic
savings.
200%
Fraud detection
improvement
Losses prevented
annually
$40M+ 2.2B
Relationships
Neo4j Inc. All rights reserved 2024
Autonomous Clustering
Easy, automated horizontal scale-out
Composite Databases
Federated queries and sharded graphs
21
Graph Data at Scale
● Automated upgrades
● Zero maintenance
● Scalable and elastic, on-demand
● Enterprise-grade security
● High availability
● Simple pricing, consumption-based
● Procure through Aura Console or via
Cloud Marketplace
Cloud Scale
22 Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
GenAI is predicted to boost global
GDP by 7% while doubling productivity
improvements over the next decade
TheNext Growth Engine
23
24
40.4165 > 41.9 ???
🤨
41.3275 < 41.9
👍
🤨
Hallucinates
Limited
input sizes
for
context
window
Lack
of enterprise
domain
knowledge
Inability
to verify
answers
Sensitive
to prompt (input)
phrasing
Ethical and
data bias
concerns
Neo4j Inc. All rights reserved 2024
25
Limitations of GenAI
Neo4j Inc. All rights reserved 2024
GenAI Needs Knowledge Graphs
LLMs
26
KGs +
Better Together
Knowledge
Facts
Context
Language
Statistics
Creativity
Neo4j Inc. All rights reserved 2024
1
2
3
LLMs for Language Generation
RAG-based GenAI Applications
GenAI Integrations
Knowledge Graph Construction and GraphRAG
27
Neo4j Inc. All rights reserved 2024
1 LLMs for Language Generation
GenAI Integrations
2
3
RAG-based GenAI Applications
Knowledge Graph Construction and GraphRAG
28
Neo4j Inc. All rights reserved 2023
Generate
Personalized
Natural Language
Experiences
29
Neo4j Inc. All rights reserved 2024
2
3
RAG-based GenAI Applications
GenAI Integrations
1 LLMs for Language Generation
3 Knowledge Graph Construction and GraphRAG
30
Neo4j Inc. All rights reserved 2023
Grounding With
Retrieval Augmented
Generation (RAG)
31
Knowledge graphs enable search with
explicit and implicit (vector) relationships
32 Neo4j Inc. All rights reserved 2024
Why can’t I just use standard vector
databases for knowledge lookup?
Neo4j Inc. All rights reserved 2024
Neo4j Inc. All rights reserved 2024
Vectors act as an
integration point
between geometric
and topological
worlds
34
Neo4j Inc. All rights reserved 2024
3
GenAI Integrations
Knowledge Graph Construction and GraphRAG
2 RAG-based GenAI Applications
1 LLMs for Language Generation
35
Historically, creating
a knowledge graph
from unstructured
text was difficult
GraphRAG: Unlocking
superior reasoning with
data relationships
1. Ingest Text Data
2. Generate Knowledge Graph
3. Import Into Graph Database
4. Create Semantic Hierarchies
5. Augment Retrieval
6. Deeper Understanding
37 Neo4j Inc. All rights reserved 2024
GraphRAG: Unlocking
superior reasoning with
data relationships
1. Ingest Text Data
2. Generate Knowledge Graph
3. Import Into Graph Database
4. Create Semantic Hierarchies
5. Augment Retrieval
6. Deeper Understanding
"Initial results show that GraphRAG
consistently outperforms baseline RAG”
38 Neo4j Inc. All rights reserved 2024
© 2023 Neo4j, Inc. All rights
reserved.
39
Uncovering patterns in data yields knowledge
Relationships are key to deeper insights
Knowledge graphs + generative AI enables intelligent apps
© 2023 Neo4j, Inc. All rights
reserved.
40
Impact Radar for
Generative AI
© 2023 Neo4j, Inc. All rights
reserved.
How will you
transform your
organization?
© 2023 Neo4j, Inc. All rights
reserved.
Enjoy
GraphSummit
Milan
jesus.barrasa@neo4j.com
Follow us!
@neo4j

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GraphSummit Milan & Stockholm - Neo4j: The Art of the Possible with Graph

  • 1. Neo4j Inc. All rights reserved 2023 Dr. Jesús Barrasa, Head of Solutions Architecture EMEA
  • 2. Neo4j Inc. All rights reserved 2024 The World Is Changing 2
  • 3. Neo4j Inc. All rights reserved 2024 THE WORLD IS CHANGING Massive Technology Trends Are Transforming Industries 3
  • 4. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 To thrive in this new world, your organization must derive insights from data to create knowledge
  • 5. Neo4j Inc. All rights reserved 2024 Explore the connections in your data to unlock deeper insights
  • 6. Neo4j Inc. All rights reserved 2023 6 A ring… or a money laundering scheme
  • 7. Neo4j Inc. All rights reserved 2023 7 r a critical device in a network or a critical device in a network A star…
  • 8. Neo4j Inc. All rights reserved 2023 8 or a community of people A cloud…
  • 9. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 Graph creates a connected view of data that is intuitive and actionable. 9
  • 10. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 10 The Property Graph: Simply Powerful Employee City Company Nodes represent objects (nouns) Relationships are directional Relationships connect nodes are represent actions (verbs) Relationships can have properties (name/value pairs) Nodes can have properties (name/value pairs) name: Amy Peters date_of_birth: 1984-03-01 employee_ID: 1 :HAS_CEO start_date: 2008-01-20 :LOCATED_IN
  • 11. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 11 Cypher (GQL): Pattern Based MATCH (p:Employee {employee_ID: 1})-[r:WORKS_AT*..3]-(c:Company) RETURN c.name as company, count(*) as strength ORDER BY strength DESC Node Pattern Relationship Pattern
  • 12. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 12 https://www.iso.org/standard/76120.html “Neo4j Welcomes New GQL International Standard in Major Milestone for Database Industry” https://neo4j.com/press-releases/gql-standard/ SAN MATEO, Calif. – April 17, 2024
  • 13. Neo4j Inc. All rights reserved 2024 Revealing patterns in data for deeper insight and knowledge + Relationships + Domain Terminology 13 Data Graph Knowledge Graph Dynamic context Raw facts and figures Deep dynamic context
  • 14. Neo4j Inc. All rights reserved 2024 14 Chapters on: • Pattern detection • Dependency • Identity • Semantic search • Enrichment with GDS • Graph native ML
  • 15. Neo4j Inc. All rights reserved 2024 Real-time fraud detection Supply chain resilience Customer experience Digital Twins Drug discovery Digital twin
  • 16. Neo4j Inc. All rights reserved 2024 Uncovering knowledge from data drives innovation 16
  • 17. Neo4j Inc. All rights reserved 2024 An Unfair Advantage Tech giants have long used graphs for breakthroughs. But graphs are no longer exclusively theirs. 17
  • 18. Neo4j Inc. All rights reserved 2024 Helping solve the world’s most challenging problems across every industry Financial Services Telco Retail Manufacturing Life Sciences Technology Logistics Government 18
  • 19. We found Neo4j to be literally thousands of times faster than our prior MySQL solution, with queries that require 10-100 times less code. - Dr. Volker Pacher, Senior Staff Architect at eBay
  • 20. Deployed a Neo4j-powered digital twin of London's intricate transport network, enabling real- time incident response to cut congestion and drive significant economic savings. 200% Fraud detection improvement Losses prevented annually $40M+ 2.2B Relationships
  • 21. Neo4j Inc. All rights reserved 2024 Autonomous Clustering Easy, automated horizontal scale-out Composite Databases Federated queries and sharded graphs 21 Graph Data at Scale
  • 22. ● Automated upgrades ● Zero maintenance ● Scalable and elastic, on-demand ● Enterprise-grade security ● High availability ● Simple pricing, consumption-based ● Procure through Aura Console or via Cloud Marketplace Cloud Scale 22 Neo4j Inc. All rights reserved 2024
  • 23. Neo4j Inc. All rights reserved 2024 GenAI is predicted to boost global GDP by 7% while doubling productivity improvements over the next decade TheNext Growth Engine 23
  • 24. 24 40.4165 > 41.9 ??? 🤨 41.3275 < 41.9 👍 🤨
  • 25. Hallucinates Limited input sizes for context window Lack of enterprise domain knowledge Inability to verify answers Sensitive to prompt (input) phrasing Ethical and data bias concerns Neo4j Inc. All rights reserved 2024 25 Limitations of GenAI
  • 26. Neo4j Inc. All rights reserved 2024 GenAI Needs Knowledge Graphs LLMs 26 KGs + Better Together Knowledge Facts Context Language Statistics Creativity
  • 27. Neo4j Inc. All rights reserved 2024 1 2 3 LLMs for Language Generation RAG-based GenAI Applications GenAI Integrations Knowledge Graph Construction and GraphRAG 27
  • 28. Neo4j Inc. All rights reserved 2024 1 LLMs for Language Generation GenAI Integrations 2 3 RAG-based GenAI Applications Knowledge Graph Construction and GraphRAG 28
  • 29. Neo4j Inc. All rights reserved 2023 Generate Personalized Natural Language Experiences 29
  • 30. Neo4j Inc. All rights reserved 2024 2 3 RAG-based GenAI Applications GenAI Integrations 1 LLMs for Language Generation 3 Knowledge Graph Construction and GraphRAG 30
  • 31. Neo4j Inc. All rights reserved 2023 Grounding With Retrieval Augmented Generation (RAG) 31
  • 32. Knowledge graphs enable search with explicit and implicit (vector) relationships 32 Neo4j Inc. All rights reserved 2024
  • 33. Why can’t I just use standard vector databases for knowledge lookup?
  • 34. Neo4j Inc. All rights reserved 2024 Neo4j Inc. All rights reserved 2024 Vectors act as an integration point between geometric and topological worlds 34
  • 35. Neo4j Inc. All rights reserved 2024 3 GenAI Integrations Knowledge Graph Construction and GraphRAG 2 RAG-based GenAI Applications 1 LLMs for Language Generation 35
  • 36. Historically, creating a knowledge graph from unstructured text was difficult
  • 37. GraphRAG: Unlocking superior reasoning with data relationships 1. Ingest Text Data 2. Generate Knowledge Graph 3. Import Into Graph Database 4. Create Semantic Hierarchies 5. Augment Retrieval 6. Deeper Understanding 37 Neo4j Inc. All rights reserved 2024
  • 38. GraphRAG: Unlocking superior reasoning with data relationships 1. Ingest Text Data 2. Generate Knowledge Graph 3. Import Into Graph Database 4. Create Semantic Hierarchies 5. Augment Retrieval 6. Deeper Understanding "Initial results show that GraphRAG consistently outperforms baseline RAG” 38 Neo4j Inc. All rights reserved 2024
  • 39. © 2023 Neo4j, Inc. All rights reserved. 39 Uncovering patterns in data yields knowledge Relationships are key to deeper insights Knowledge graphs + generative AI enables intelligent apps
  • 40. © 2023 Neo4j, Inc. All rights reserved. 40 Impact Radar for Generative AI
  • 41. © 2023 Neo4j, Inc. All rights reserved. How will you transform your organization?
  • 42. © 2023 Neo4j, Inc. All rights reserved. Enjoy GraphSummit Milan jesus.barrasa@neo4j.com Follow us! @neo4j