From Data to Knowledge to Action - The Graph Intelligence Platform
summary
Claims Neo4j closes the gap between enterprise data and AI by building a knowledge layer of ontologies, domain data, and decision traces so agents get context; platform tiers include core DB (fabric, InfiniGraph for tens of terabytes), AI-powered tooling (document intelligence, ontology management), and Aura agents with integrations to AWS/GCP/Azure and LangChain. Customers report graph rank 3x better relevance than traditional rank. Three deployment patterns: zero-copy semantic map, hybrid map+domain data, or full graph as primary context store.
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chapters (9)
- 0:00Introduction and conference thanks
- 1:08Everything is a graph
- 3:36AI-driven application evolution
- 8:13Need for enterprise knowledge layer
- 11:23Neo4j platform tiers for agentic systems
- 14:59Five key benefits of graph intelligence
- 17:27Enterprise architecture integration
- 19:33Common architectural patterns
- 20:15Conclusion and future outlook
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