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Agentic AI for Enterprise Knowledge Graph Management

Talkat NODES 2025 · on Thursday, 2025-11-06· [large-language-models]
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An ontology-driven loan underwriting demo uses Neo4j as the single source of truth, ingesting documents via a visual document-intelligence agent that maps extracted key‑value pairs to FIBO-based JSON and generates runtime Cypher MERGE statements. Validation runs as a workflow of five validation checks (credit score, DTI, LTV, vehicle age, etc.) and flags four violations in the sample set of seven applications. Agents run inside Neo4j with Aura agents, coordinate externally via MCP and A2A orchestration, and stream reasoning and logs to the AGUI.

AI-written summary · about

  1. 0:00Introduction and context
  2. 2:00Problem statement and approach
  3. 6:18System building blocks
  4. 11:16Loan application demo
  5. 17:56Agent-based assessment
  6. 23:32Orchestration and conclusion
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