How do Social Scientists with minimal coding experience use vast networks of research material? How can they validate their ideas based on large bodies of research?
In this presentation, we will take you through the example of one independent researcher’s journey from no-code to knowledge graph master. We will walk you through the steps the researcher took, including how to format data stores, what data to collect, ways to leverage LLMs in the process, and ultimately, have a working knowledge graph in a dashboard with minimal coding experience.
Guest: Trygve Cossette, explainit.ai
GraphAcademy: https://dev.neo4j.com/learn
Data Importer: https://development.neo4j.dev/docs/data-importer/current/
Workspace: https://development.neo4j.dev/product/workspace/
Neo4j Training Series: https://dev.neo4j.com/devrel-workshops2024
Knowledge Graph Course
https://www.oreilly.com/live-events/knowledge-graphs-large-language-models-bootcamp/0636920091408/
Free 30day trial: https://dev.neo4j.com/oreillylearn
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