Resources

Knowledge Base

Operational knowledge management built into the platform — not bolted on

OrcaMonitor's integrated knowledge base lets your team document resolutions, runbooks, and operational procedures directly within the platform — linked to tickets, devices, and AI agents for automatic contextual retrieval.

Every time your team resolves a complex incident, that knowledge lives somewhere — usually in someone's head or a shared doc nobody can find. OrcaMonitor's knowledge base brings that knowledge into the operational workflow, where AI agents surface it automatically when the next similar incident occurs.

Knowledge Base

What's Covered

Topics and content in Knowledge Base

Article Management

Create, edit, tag, and categorize knowledge articles. Supports rich text with code blocks, screenshots, and step-by-step procedure formatting.

Resolution Promotion

One-click promotion of a resolved ticket to a KB article. The AI-generated root cause summary and resolution steps are pre-populated from the ticket — your engineer just reviews and publishes.

AI-Powered Retrieval

When an AI agent analyzes a new incident, it queries the knowledge base for semantically similar articles. Matching articles are attached to the AI proposal as supporting evidence.

Device & Alert Linking

Articles can be linked to specific devices, device groups, or alert types. When an alert fires on a linked device, the associated KB articles are surfaced in the alert and ticket view.

Search

Full-text search across all knowledge articles with relevance ranking. Filter by category, tag, linked device, creation date, and author.

Publishing States

Articles exist in Draft, Under Review, Published, and Archived states. Only Published articles are visible to non-author operators and AI agents.

Highlights

  • Semantic similarity search (vector-based) when AI model provider is configured
  • Article version history with diff view
  • Category taxonomy with nested subcategories
  • RBAC-controlled authoring and publishing permissions
  • Export all articles as a ZIP of Markdown files
  • Usage analytics — which articles are most frequently linked to resolved tickets
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