---
title: "Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j"
url: https://daily.dev/posts/context-graphs-for-explainable-decision-aware-ai-agents-andreas-kollegger-zaid-zaim-neo4j-nsdznw8ch
source_url: https://www.youtube.com/watch?v=abvQEhvRI_c
type: video:youtube
source: "AI Engineer"
published: 2026-05-28T14:21:15.076Z
updated: 2026-05-28T14:21:32.451Z
tags: ["ai-agents", "neo4j", "context-engineering"]
reading_time: 16
upvotes: 2
comments: 0
language: en
---

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# Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 16 min read · 2 upvotes · 0 comments

## Summary

A conference talk from Neo4j engineers introducing 'context graphs' as a framework for making AI agents more decision-aware. Beyond storing knowledge, context graphs encode rules, policies, and reasoning memory so agents understand not just what to do but why. The talk presents a structured decision-making workflow covering problem framing, global context (prior decisions and business rules), risk-value analysis, authority-based action or escalation, and self-learning by recording reasoning traces back into the graph. The framework is designed for multi-agent systems using tools like LangGraph or ADK, with Neo4j as the underlying graph database and Cypher for querying.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=abvQEhvRI_c>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#neo4j](https://daily.dev/tags/neo4j), [#context-engineering](https://daily.dev/tags/context-engineering)

[View this post on daily.dev](https://daily.dev/posts/context-graphs-for-explainable-decision-aware-ai-agents-andreas-kollegger-zaid-zaim-neo4j-nsdznw8ch)