What gets extracted
Upload PDFs, DOCX, CSV, or Markdown to Command Center → Knowledge. The engine parses each document and creates:| Extracted into | What it looks like |
|---|---|
| Operational Rules | ”When restarting a Docker container with MongoDB on Ubuntu, do X then Y.” Tagged os:linux, tech:docker, tech:mongodb. |
| Host Knowledge facts | ”host db-01 runs Postgres 15 with replication to db-02.” Attached to the host record. |
| Blacklist entries | ”Never run vgremove on storage nodes.” |
How knowledge reaches agents
Two paths, both automatic:- Programmatic — host description and tags get matched against operational-rule tags. Relevant rules and host facts ship with the task at dispatch time.
- Dynamic — the gateway and the agent can pull additional rules + facts on demand if the task’s scope evolves.
Managing extracted knowledge
Auto-generated rules can be edited or marked outdated from the Knowledge UI. A few things to know:- Re-upload replaces extraction. Uploading a newer version of the same document replaces the old extracted rules and facts. Your manually-curated rules are untouched.
- Conflicts: prefer your own rule. If extracted knowledge contradicts what you want, create your own operational rule and disable the extracted one. Manual rules outrank extracted ones in conflicts.
- Don’t expect 100% extraction quality. Review what was extracted after each upload, especially for the first few documents.
What to upload first
In order of payoff:- Runbooks — they translate directly into operational rules (procedures).
- Infrastructure inventory spreadsheets — they translate into host knowledge facts.
- Internal “don’t do this” guides — they translate into constraints + blacklist entries.
- Architecture docs and network diagrams — useful only if your tenant has a multimodal model configured (diagrams need vision).
- Tribal-knowledge pages (“the old way we restart auth-service”) — high payoff but review extraction carefully.

