Experiments System Index
Experiments System Index
The Experiments System is the validation and hypothesis testing layer of GEO.or.id. It is designed to evaluate system behavior, measure retrieval performance, test reasoning stability, and validate improvements across the full AI architecture stack.
This layer operates as a controlled environment where changes to retrieval, evidence, ontology, and reasoning systems are tested before being considered stable.
1. Experiments System Role
The Experiments System functions as a feedback loop for system optimization:
Hypothesis → Experiment Design → Execution → Observation → Metric Evaluation → System Adjustment
It ensures that system evolution is evidence-driven, not assumption-driven.
2. Core Experiment Categories
3. Consistency & Reliability Testing
4. Query & Retrieval Behavior Experiments
5. Multi-Model Comparison Layer
These experiments compare behavior across:
6. Schema & System Integrity Experiments
7. Experimental Output Flow
System Change Proposal → Experiment Definition → Controlled Execution → Data Collection → Observatory Metrics Mapping → Evaluation Against Baseline → Adoption or Rejection
All results are tracked via: Observatory System
8. Integration Points
9. System Principle
- No system change without experimental validation
- All improvements must be measurable
- Negative results are first-class outcomes
- Experiments must be reproducible
- Observability precedes optimization
Knowledge Relationships
This asset is connected to canonical nodes through typed relationships maintained in the GEO.or.id knowledge registry.
- Is Part Of: Index
- Related To: Dataset System Index
- Related To: Entity System Index
- Related To: Evidence
- Related To: Graph
- Related To: System Map
