Andreas presents an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.

1. Product Update
Knowledge Graphs
Andreas “ABK” Kollegger
Senior Developer Advocate
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2. Agenda
New features in Neo4j & a peek into the future
Knowledge Graphs + LLM = 😁
Demonstration
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3. New in Neo4j 5 -
recap
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4. Graph Schema: New constraints on nodes,
relationships and properties: Unique relationship
property, Relationship key, Property data types
NEO4J 5.0 NEW CAPABILITIES
Database Enhancements
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5. Graph Pattern Matching: Improved
expressivity of graph navigation with
quantified path patterns. More powerful and
performant syntax to navigate and traverse
your graph.
NEO4J 5.0 NEW CAPABILITIES
Database Enhancements
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6. MATCH path=(a:Account)-[rel:TRANSACTION*3..6]->(a)
WHERE size(apoc.coll.toSet(nodes(path))) = size(nodes(path)) - 1
AND ALL(idx in range(0, size(rel)-2)
WHERE (rel[idx]).date < (rel[idx+1]).date
AND (rel[idx+1].amount / rel[idx].amount) * 100 <= 20
)
RETURN path
NEO4J 5.0 NEW CAPABILITIES
Database Enhancements
Graph Pattern Matching Example
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Pre-QPP

7. MATCH path=(a:Account)-[:PERFORMS]->(first_tx)
((tx_i)-[:BENEFITS_TO]->(a_i)-[:PERFORMS]->(tx_j)
WHERE tx_i.date < tx_j.date
AND 0.80 <= tx_i.amount / tx_j.amount <= 1.00
){3,6}
(last_tx)-[:BENEFITS_TO]->(a)
WHERE size(apoc.coll.toSet([a]+a_i)) = size([a]+a_i)
RETURN path
NEO4J 5.0 NEW CAPABILITIES
Database Enhancements
Graph Pattern Matching Example
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QPP

8. Parallel Runtime
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9. NEO4J 5.0 NEW CAPABILITIES
Parallel Runtime: Speed up analytical query up to 100x
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10. Parallel Runtime Speedup
Up to 100x faster analytical queries by adding CPU cores
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More cores
Faster
Queries

11. Change Data
Capture (CDC)
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12. NEO4J 5.0 NEW CAPABILITIES
Change Data Capture: Automated Real-Time Change Tracking
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13. Looking Ahead:
Auto-Sharding
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14. NEO4J 5.0 NEW CAPABILITIES
Fabric Auto-Sharding
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Coming 2024+
Mapping
Sharding
Rules

15. NEO4J 5.0 NEW CAPABILITIES
Fabric Auto-Sharding
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Coming 2024+
Mapping
Sharding
Rules

16. AI Enabler
Graph Data Science & Generative AI
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17. Why RAG With Vector Databases Fall Short
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3
2
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Similarity is insufficient for rich enterprise reasoning
Only leverage a fraction of
your data: Beyond simple
“metadata”, vector databases
alone fail to capture relationships
from structured data
Miss critical context: Struggle to
capture connections across
nuanced facts, making it
challenging to answer multi-step,
domain-specific, questions
Vector Similarity ≠ Relevance:
Vector search uses an incomplete
measure of similarity. Relying on it
solely can result in irrelevant and
duplicative results
Lack explainability:
The black-box nature of
vectors lacks transparency
and explainability
20 Neo4j Inc. All rights reserved 2024

18. Neo4j Inc. All rights reserved 2023
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RAG with Neo4j
Find similar documents
and content
Identify entities
associated to content and
patterns
in connected data
Improve GenAI inferences
and insights. Discover new
relationships and entities
Unify vector search, knowledge graph and data science
capabilities to improve RAG quality and effectiveness
Vector Search Data Science
Knowledge
Graph

19. Irish Bank
Legislation
Dependency Mapping

20. 23
1 Knowledge Graph Construction
Gen AI use cases

21. Knowledge Graph
Creation with
Cypher Templates

22. Knowledge Graph
Creation with
Cypher Templates

23. 26
1
2
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Knowledge Graph Construction
LLMs for Language Generation
Gen AI use cases
RAG-based Applications

24. 27
Natural Language
Search combining
explicit and implicit
relationships

25. 28
Natural Language
Search combining
explicit and implicit
relationships

26. ● Co-Pilot in Neo4j Browser
for autocomplete & Cypher
generation
● Bloom & NeoDash NL
integration
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POWERING GENERATIVE AI APPS
Neo4j’s GenAI Roadmap Coming 2024+

27. ● Co-Pilot in Neo4j Browser
for autocomplete & Cypher
generation
● Bloom & NeoDash NL
integration
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POWERING GENERATIVE AI APPS
Neo4j’s GenAI Roadmap Coming 2024+

28. Thank
You!
andreas@neo4j.com
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