Retrieval

Retrieval System Index

The Retrieval System is the input intelligence layer of GEO.or.id. It is responsible for converting user intent and system queries into structured information access paths, ranking signals, and context-aware data retrieval.

This layer does not produce truth. It produces candidate information space that is later validated by the Evidence System and structured by the Ontology System.

1. Retrieval System Role

Retrieval functions as the first transformation stage in the architecture:

Query → Intent Processing → Retrieval → Ranking → Source Selection → Evidence Binding

It determines what information enters the system, but not what becomes truth.

2. Core Retrieval Pipeline

• Vector Search
• Semantic Matching
• Context Window Management
• RAG Systems
• Answer Generation

3. Retrieval Intelligence Layer

• Retrieval Ranking
• Re-ranking System
• Source Selection
• Entity Prioritization

4. Query-Driven Retrieval Control

Retrieval is fully dependent on upstream query intelligence systems:

• Query Normalization
• Query Decomposition
• Intent Classification
• Entity Mapping
• Semantic Grounding

5. Retrieval Signal System

Retrieval quality is controlled through multi-dimensional signals:

• Retrieval Signals
• Semantic Signals
• Entity Signals
• Authority Signals
• Consistency Signals
• Freshness Signals

6. Retrieval Output Constraints

All retrieval outputs must satisfy structural constraints before entering Evidence Binding:

• No unranked raw outputs
• No unstructured text passed to downstream systems
• All results must include provenance metadata
• All entities must be resolved or flagged as ambiguous

These constraints are enforced through: Source Selection Analysis Protocol

7. Retrieval Quality Control

• Query Quality Scoring
• Query Completeness Validation
• Retrieval Readiness Assessment

8. System Role in Architecture

Retrieval is the entry gate of the entire GEO.or.id system. It defines the boundaries of what information is even allowed into the reasoning and evidence pipeline.

It directly feeds:

• Evidence System
• Reasoning System
• AI Ground Truth Framework

9. System Principle

• Retrieval is probabilistic, not factual
• Ranking does not equal truth
• Source diversity is mandatory
• Entity ambiguity must be preserved until resolution stage
• All outputs are candidates, not conclusions