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

Dr Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j

Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.

1. The Art of the Possible With Graph Dr. Jesús Barrasa, Head of Solutions Architecture EMEA

2. The World Is Changing 2

3. THE WORLD IS CHANGING Massive Technology Trends Are Transforming Industries 3

4. To thrive in this new world, your organization must derive insights from data to create knowledge

5. 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. Graph creates a connected view of data that is intuitive and actionable. 9

10. 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. 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. 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. 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. 14 Chapters on: Pattern detection Dependency Identity Semantic search Enrichment with GDS Graph native ML

15. Real-time f raud d etection Supply c hain r esilience Customer e xperience Digital Twins Drug d iscovery Digital t win

16. Uncovering knowledge from data drives innovation 16

17. An Unfair Advantage Tech giants have long used graphs for breakthroughs. But graphs are no longer exclusively theirs. 17

18. 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. 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. GenAI is predicted to boost global GDP by 7% while doubling productivity improvements over the next decade The Next 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. GenAI Needs Knowledge Graphs LLMs 26 KGs + Better Together Knowledge Facts Context Language Statistics Creativity

27. 1 2 3 LLMs for Language Generation RAG-based GenAI Applications GenAI Integrations Knowledge Graph Construction and GraphRAG 27

28. 1 LLMs for Language Generation GenAI Integrations 2 3 RAG-based GenAI Applications Knowledge Graph Construction and GraphRAG 28

29. Generate Personalized Natural Language Experiences Prompt (Description of desired text with personalized data) Response ( Generated personalized Text) LLM API User Experience (e.g. Email, custom Ad) Enterprise App (gets context from KG) Knowledge graph 29 29

30. 2 3 RAG-based GenAI Applications GenAI Integrations 1 LLMs for Language Generation 3 Knowledge Graph Construction and GraphRAG 30

31. Grounding With Retrieval Augmented Generation (RAG) 31 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. Vectors act as an integration point between geometric and topological worlds 34

35. 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 Ingest Text Data Generate Knowledge Graph Import Into Graph Database Create Semantic Hierarchies Augment Retrieval Deeper Understanding 37 Neo4j Inc. All rights reserved 202 4

38. GraphRAG: Unlocking superior reasoning with data relationships Ingest Text Data Generate Knowledge Graph Import Into Graph Database Create Semantic Hierarchies Augment Retrieval Deeper Understanding "Initial results show that GraphRAG consistently outperforms baseline RAG” 38 Neo4j Inc. All rights reserved 202 4

39. 39 Uncovering patterns in data yields knowledge Relationships are key to deeper insights Knowledge graphs + generative AI enables intelligent apps

40. 40 Impact Radar for Generative AI

41. How will you transform your organization?

42. Enjoy GraphSummit Milan [email protected] Follow us! @neo4j