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Title & Speakers	Event
Event 10 PyData Piraeus Meetup: LLMs with Knowledge Graphs and Information Retrieval 2025-11-14
Retrieval and Matching at Scale: from embeddings to payouts in music rights 2025-11-14 · 19:00 Konstantinos Eftaxias – Staff Data Scientist at Orfium @ Orfium The growth of digital platforms has led to an explosion of data. Our aim in Orfium is to effectively process this ever-increasing volume of information. We achieve this by building and deploying cloud services designed to accurately track how music is used, how music rights are managed, and ensuring rightful payments to artists and rights Holders. In this talk we are going to explore techniques that bring our AI models to production, building and maintaining our services and overcoming cost and scale barriers. Attendees can anticipate a brief overview of our services, the tools that we are using to bring our models to production, the cloud architecture that makes all this possible and a deeper dive on how technologies like vectorDBs enabled us to reach the scale we have today without breaking the bank. embeddings vector databases (vectordbs) cloud services
Grounding LLMs with Knowledge Graphs: What, Why, and How 2025-11-14 · 18:00 Panos Alexopoulos – Data Semantics & AI Specialist \| Author \| Educator @ Triply BV Large Language Models (LLMs) are powerful but notoriously ungrounded as they generate fluent, plausible text that isn’t always factual, consistent, or explainable. One promising way to address these issues is by connecting LLMs with Knowledge Graphs, namely structured, explicit representations of knowledge that can provide context, constraints, and verifiable facts. The main paradigm for doing this is Graph-based Retrieval-Augmented Generation (GraphRAG), which integrates graph-based reasoning and retrieval into the generation process. In this talk, I’ll introduce the core ideas behind GraphRAG, describe common design patterns, and outline the steps and tools needed to implement such systems in practice. knowledge graphs graphrag large language models

Event NODES 2024 - Speaker Roundtable 2024-10-30
From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning 2024-10-30 · 09:00 Panos Alexopoulos – Data Semantics & AI Specialist \| Author \| Educator @ Triply BV Exploration of RDF to LPG transformations and maintaining semantic meaning in knowledge graphs. rdf lpg knowledge graphs
Role of Knowledge Graphs in Mental Health Diagnosis and Cure 2024-10-30 · 09:00 Sharmistha Chatterjee – Coauthor Platforms and Model design for Responsible AI, Google Developer Expert, International Speaker Discussion on the role of knowledge graphs in mental health diagnosis and treatment. knowledge graphs
Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle 2024-10-30 · 09:00 Bill Reynolds – Chief Technical Officer, Qarbine @ Qarbine Leveraging Neo4j Graph Data and AI across the application development and deployment lifecycle. Neo4j graph data ai
Revolutionizing RAG for Financial Data With Knowledge Graphs 2024-10-30 · 09:00 Charles Borderie – CEO, Lettria @ Lettria Applying RAG (Retrieval-Augmented Generation) to financial data using knowledge graphs. RAG knowledge graphs
Measuring the Performance of VectorRAG vs GraphRAG 2024-10-30 · 09:00 Estelle Scifo – Machine Learning Engineer, Neo4j @ Neo4j Measuring the performance of VectorRAG vs GraphRAG in knowledge graph contexts. vectorrag graphrag

NODES 2024 - Speaker Roundtable 2024-10-30 · 09:00 Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November. Guests include: Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/ Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/ Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/ Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/ Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/ Register to NODES 2024: https://bit.ly/47VqQkp	NODES 2024 - Speaker Roundtable
NODES 2024 - Speaker Roundtable 2024-10-30 · 09:00 Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November. Guests include: Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/ Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/ Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/ Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/ Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/ Register to NODES 2024: https://bit.ly/47VqQkp	NODES 2024 - Speaker Roundtable
NODES 2024 - Speaker Roundtable 2024-10-30 · 09:00 Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November. Guests include: Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/ Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/ Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/ Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/ Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/ Register to NODES 2024: https://bit.ly/47VqQkp	NODES 2024 - Speaker Roundtable
Semantic Modeling for Data 2020-08-20 Panos Alexopoulos – author What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges data data-science Data Modelling Data Science	O'Reilly Data Science Books

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