Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London April 2024.pptx
neo4j
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16 slides
Apr 26, 2024
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About This Presentation
Lee Razo, Solution Partner Architect at Neo4j, delivered this speaking session at AWS Summit London April 2024.
Size: 17.36 MB
Language: en
Added: Apr 26, 2024
Slides: 16 pages
Slide Content
Welcome slide
‹#› Lee Razo Senior Partner Architect Neo4j How Knowledge Graphs Are Shaping the Future of Generative AI
The Connected Data Imperative Networks of People Transaction Networks Bought Bought Viewed Returned Bought Knowledge Networks Plays Lives_in In_sport Likes Fan_of Plays_for E.g., Risk management, Supply chain, Payments E.g., Employees, Customers, Suppliers, Partners, Influencers E.g., Enterprise content, Domain specific content, eCommerce content Knows Knows Knows Knows Connectio n s in the data are as valuable as the data itself
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
Graph Data Science Make Sense Of Data Relationships What’s important? What’s unusual? What’s next? Neo4j Inc. All rights reserved 2024 ‹#›
Neo4j Inc. All rights reserved 202 4 Solve Complex Data Needs with Knowl edge Graphs Real-Time Recommendations Fraud Detection Network & IT Operations Digital Twin Identity & Access Management Patient Journey ‹#›
Neo4j Inc. All rights reserved 2023 ‹#› 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
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 Neo4j Inc. All rights reserved 2023 ‹#›
Astrazeneca Uncovering new molecular relationships in enormous datasets for accelerated drug discovery was a daunting task for AstraZeneca. Neo4j Inc. All rights reserved 2024 ‹#›
Caterpillar Unlocking insights for efficient equipment repair and maintenance across tens of millions of technical documents was an enormous challenge for Caterpillar
Neo4j Inc. All rights reserved 2024 ‹#› Facts Explicit Explainable Words Implicit Opaque Knowledge Graphs (KG) Large Language Models + BETTER TOGETHER Trustworthy Gen AI Experiences
Graph Grounding Explained. ‹#›
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 ‹#› Ingesting Data into KG Consuming Data from KG Amazon Bedrock Amazon Bedrock
Help explain results to humans with decision accountability, and to regulators Provide stronger & more explicit guard rails for language models Known Uses To-Date ‹#› 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 Neo4j Inc. All rights reserved 2024 ‹#›
Visit us at booth G17 for a live demo Visit us at booth G17 for a live demo
Thank you! [email protected] Neo4j Inc. All rights reserved 2024 ‹#›