3. The Connected Data Imperative
Networks of People Transaction Networks Knowledge Networks
E.g., Risk management, Supply
chain, Payments
E.g., Employees, Customers,
Suppliers, Partners,
Influencers
E.g., Enterprise content,
Domain specific content,
eCommerce content
Connections in the data are as valuable as the data itself
4. Data Comes in Many Shapes & Sizes
A B C D E
A B C D E
One-to-Many
Relationships
Across Many
Entities
Small, Wide Data Complex Data Hierarchical & Recursive Data
Many-to-Many
Relationships
Nested Tree
Structures
Recursion (Self-
Joins)
Deep
Hierarchies
Link Inference
(If C relates to A and A relates to E,
then C must relate to E)
Node Similarity
Hidden Data
Legacy Data Frozen Data
Legacy SQL Systems Data Lake Fact Tables Graph Data Science - Machine Reasoning
A
C
E
5. Graph Data Science
Make Sense Of Data Relationships
What’s important? What’s unusual? What’s next?
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Solve Complex Data Needs with Knowledge Graphs
Real-Time
Recommendations
Fraud
Detection
Network &
IT Operations
Digital Twin
Identity & Access
Management
Patient Journey
6
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7
300
$1B+ Enterprise
customers
$500M
In funding
170+
Global Partner
Ecosystem
250K
Community of
developers and
data pros
100M+
Downloads
The first-ever
graph
database
Creator of the
market
category
Continued
market leader
8. 20 / 20
Top US banks
3 / 5
Top Aircraft Manufacturers
7 / 10
Top Telcos
3 / 5
Top Hotel Groups
8 / 10
Top Insurance Companies
10 /10
Top Automakers
7 / 10
Top Retailers
5 / 5
Top Pharmaceuticals
Trusted by
75 of the
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Facts
Explicit
Explainable
Words
Implicit
Opaque
Knowledge
Graphs
(KG)
Large
Language
Models
+
BETTER TOGETHER
Trustworthy Gen AI Experiences
13. Neo4j and Generative AI Reference Architecture
Neo4j Inc. All rights reserved 2024
Knowledge graph
Graph Data
Science
Graph DB
Applications
Parsing
Structured
Unstructured
Ontologies
Data sources RAG
Customer Service
Ticket Triaging
Recommendations
News Content &
Discovery
Enterprise Knowledge
Search
Patient Prioritization
Clinical Decision Support
Systems
Pharmacovigilance
Health Assistants
FAQ Bots
Bloom
APIs
Neo4j Aura
APIs
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Ingesting Data into KG Consuming Data from KG
Amazon Bedrock Amazon Bedrock
14. Help explain results to humans with
decision accountability, and to
regulators
Provide stronger & more explicit guard
rails for language models
Known Uses To-Date
14
Retrieval Augmented
Generation
Natural Language
Querying
Prompt the LLM with relevant
data & connections
Knowledge Graph
Construction
Deconstruct unstructured text
into knowledge graph using LLM
Use LLM to query a knowledge
graph using natural language
Future/Emerging Uses:
LLM Training
Use the KG as a source of structured
domain understanding to train or fine-
tune a language model
Explainability
for Responsible AI
Guard Rails
for Responsible AI
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15. Visit us at booth G17 for a live demo
Visit us at booth G17 for a live demo