---
title: "Switchboards to Subgraphs: Building a Triage Agent on a Neo4j Knowledge Graph"
url: https://daily.dev/posts/switchboards-to-subgraphs-building-a-triage-agent-on-a-neo4j-knowledge-graph-uxp8ttnvh
source_url: https://medium.com/neo4j/switchboards-to-subgraphs-building-a-triage-agent-on-a-neo4j-knowledge-graph-842871a288bc
type: article
source: "neo4j"
published: 2026-07-13T13:00:13.390Z
updated: 2026-07-13T14:21:47.267Z
tags: ["ai-agents", "vector-search", "neo4j"]
reading_time: 10
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Switchboards to Subgraphs: Building a Triage Agent on a Neo4j Knowledge Graph

**[neo4j](https://daily.dev/sources/neo4j)** · 10 min read · 1 upvotes · 0 comments

## Summary

A walkthrough of building an AI-powered ticket triage agent using a Neo4j knowledge graph. The system models support expertise as graph relationships — who resolved which tickets, for which clients, with which skills — rather than flat attributes. A Neo4j Aura Agent reasons over subgraphs using five Cypher-based tools: semantic ticket similarity, expert ranking, client history lookup, skill matching, and SOP document search. The open-source Korca orchestration layer syncs data from Teamwork Desk, invokes the agent, and writes recommendations back. Production accuracy exceeds 90%, with data quality (clean assignment history) identified as the primary lever. The system supports manual review, auto-comment, and auto-assign modes, and is MIT-licensed for teams to fork and adapt.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/neo4j/switchboards-to-subgraphs-building-a-triage-agent-on-a-neo4j-knowledge-graph-842871a288bc>

## Similar posts on daily.dev

- [I Built a Tiny AI Agent just for fun](https://daily.dev/posts/i-built-a-tiny-ai-agent-just-for-fun-ujqbwwcg1) · neo4j · 68 upvotes · 3 comments
- [How to create AI agents with Neo4j Aura Agent](https://daily.dev/posts/how-to-create-ai-agents-with-neo4j-aura-agent-mc7jpthny) · InfoWorld · 1 upvotes · 0 comments
- [Graph used right & built fast: Neo4j at HackwithBay 3.0](https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz) · neo4j · 2 upvotes · 0 comments
- [Knowledge Graph as context for LLMs: demonstrating decisive RCA and faster production performance](https://daily.dev/posts/knowledge-graph-as-context-for-llms-demonstrating-decisive-rca-and-faster-production-performance-mhm1hbjmi) · Grafana Labs · 5 upvotes · 1 comments

---

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

[View this post on daily.dev](https://daily.dev/posts/switchboards-to-subgraphs-building-a-triage-agent-on-a-neo4j-knowledge-graph-uxp8ttnvh)