NODES 2025 - Mapping Argentina’s Scientific Ecosystem: Building Collaboration Networks with Neo4j

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

In this session, you will learn how we are using Neo4j to model and explore scientific collaboration within Argentina's national science and innovation system. Octavio Zerdá Sánchez will show how complex and messy data from various scientific databases have been integrated, mapped into a knowledge graph, and visualized through an interactive tool. This tool enables users to explore interactions between researchers, thematic areas of study, and institutions. By enhancing access to scientific information, these networks help to identify new collaboration opportunities, ultimately contributing to a more efficient, dynamic, and accessible scientific community for all. Speaker: Octavio Zerdá Sánchez Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph