Neo4j Live: Valkompass.ai – Mapping Political Insight with Graphs & AI

Neo4j Live
  • Length: 1 hr 2 min
Play video on YouTube: Neo4j Live: Valkompass.ai – Mapping Political Insight with Graphs & AI
Presented by Emil Wåreus: more videos Presenter
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Chapters 13

  1. Play from Intro & welcome to Neo4j Live with Emil Wåreus
  2. Play from Background: Hackathon origins of Valkompass
  3. Play from Emil’s journey from startup founder to new AI venture
  4. Play from Why Valkompass: tackling bias and political transparency with AI
  5. Play from How Valkompass works: analyzing party programs using Neo4j & Gemini
  6. Play from Extending the graph: votes, debates, and historical political data
  7. Play from Discussion: transparency, trust, and fact-checking in politics
  8. Play from Technical deep dive: building Valkompass with Neo4j knowledge graphs
  9. Play from Live demo: querying Swedish political positions & comparisons
  10. Play from Data pipeline & verification via GitHub and open data sources
  11. Play from Graph modeling: parties, topics, and relationships for accuracy
  12. Play from Guardrails, bias handling & community-driven transparency
  13. Play from WrapUp

How can we use graphs and AI to bring transparency to politics?
In this live session, we’ll dive into Valkompass.ai - an open-source project that uses Neo4j and Gemini to connect and analyze political data from Sweden’s parties. From election manifestos to parliamentary votes, Valkompass.ai turns complex, unstructured information into a knowledge graph you can query and converse with.

We’ll explore how this system models political relationships, applies AI reasoning over connected data, and helps citizens and journalists navigate policies with context and clarity.

Guest: Emil Wåreus

Resources mentioned

GenAI & GraphRAG

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