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Used Graphify to turn incidents into a queryable knowledge graph

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Why This Matters

This innovative use of Graphify with the Rootly API demonstrates how integrating structured knowledge graphs into incident management can enhance data analysis and troubleshooting. It offers the potential for faster insights, improved incident response, and smarter automation in the tech industry, ultimately benefiting consumers through more reliable services.

Key Takeaways

Built on graphify, a tool inspired by Andrej Karpathy's LLM Wiki idea — instead of rediscovering knowledge from scratch on every query, have an LLM build a persistent, structured knowledge graph that grows richer over time. Graphify takes any folder of files and turns it into a queryable graph with communities, connections, and confidence scores. This fork points it at the Rootly API.

Connect the Rootly API, collect incidents, alerts, teams, and the service catalog for a selected time window, export them into a local corpus, and turn that corpus into a queryable knowledge graph. Use graphify rootly for collection and /graphify in Claude Code or Codex when you want deeper semantic analysis on top.

Install

Fresh install (Graphify + Rootly importer):

pip install " graphifyy[rootly] " graphify install # Claude Code graphify install --platform codex # Codex

Add Rootly importer to an existing Graphify setup:

pip install " graphifyy[rootly] " --upgrade

Set your Rootly API key

Create a .env file in your project root:

ROOTLY_API_KEY = rootly_...

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