Knowledge Coverage
Live health report of the knowledge base. Tracks entity counts against target ranges, confidence distribution per domain, relationship density, and scenario type coverage. No fabricated metrics, all data is computed from the live YAML knowledge pipeline.
146
Total Entities
patterns + tech + failures + workloads
126
Relationships
target 50–150
10 / 10
Scenarios Covered
scenario types with ≥1 entry
97%
Overall Coverage
avg across all domains vs targets
Domain Coverage
Trust & Review Status
DDIA-caliber depth and red-team review state per family, from `content_quality` / `review_state` on each entity. A family with no tracked entities shows "not yet tracked" rather than a fabricated zero.
Family
DDIA-Caliber
Red-Team Pending
Red-Team Approved
Workloads
not yet tracked
Awaiting Human Review, 29 entities
Relationship Coverage
126 typed relationships total. Density = average relationships per entity. Higher is richer, but relationship quality matters more than count.
Entity Type
Outbound
Inbound
Avg Density
Patterns
48
58
2.2×
Technologies
41
6
1.7×
Failure Modes
2
59
0.9×
Total
91
Scenario Type Coverage
Each of the 10 canonical scenario types should have at least one concrete scenario. 25 scenarios loaded across 10/10 types.
Read-Heavy Application
moderate complexity
Write-Heavy Application
moderate, high complexity
Event-Driven System
high, moderate complexity
Realtime Collaboration
high, expert complexity
Analytics Pipeline
high complexity
Multi-Tenant SaaS
high, moderate complexity
Search-Heavy Application
high complexity
AI / RAG Application
high, expert complexity
Financial Ledger
high, expert complexity
Marketplace Platform
high, expert complexity