Framework Deep-DiveACTIVEFACT

QRAG

Quality-Regulated Agentic Generation

Evidence-first retrieval and generation pipeline ensuring every service output is grounded in validated sources with full provenance tracking.

Layer Position
L3
Cube Placement
All cubes
Gating Role
Blocks outputs with insufficie
Artifact Type
Scored evidence bundles

QRAG Evidence Pipeline Architecture

Technical architecture showing the internal processing stages, data flow, and integration points.

1

Evidence Retrieval

Multi-source evidence gathering from case files, regulatory databases, partner intelligence feeds, and historical records.

Inputs
Query parameters
Source registry
Access credentials
Outputs
Raw evidence bundles
Source metadata
2

Quality Scoring

QRAG scoring algorithm evaluating source reliability, recency, relevance, and cross-validation status.

Inputs
Raw evidence bundles
Outputs
Scored evidence packets
Confidence ratings
3

Provenance Tracking

Full provenance chain generation linking every evidence item to its original source with timestamp and validation status.

Inputs
Scored evidence
Outputs
Provenance chains
Evidence certificates
4

Quality Gate

Final quality gate blocking outputs with insufficient evidence confidence or unresolved provenance gaps.

Inputs
Evidence certificates
Confidence thresholds
Outputs
Approved evidence bundles
Rejection notices

Gating Role

Blocks outputs with insufficient evidence confidence