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The Aegis-Graph architecture is built on the principle of **Defense-in-Depth**. It replaces traditional monolithic verification models with a **Distributed Evidence Swarm** that operates across three specialized logic layers.
## 🏗️ System Overview
The system follows a non-linear reasoning path, where each layer provides evidence to the next until an audit consensus is reached.
```mermaid
graph LR
subgraph Layer1 [Ingestion & Normalization]
A[Input Credential] --> B{Data Extraction}
B --> B1[Visual Evidence]
B --> B2[Semantic Metadata]
end
subgraph Layer2 [GraphRAG Evidence]
B1 & B2 --> C{Reasoning Swarm}
C --> D[(Institutional Graph)]
D --> E[Node Evidence Check]
D --> F[Timeline Consistency]
end
subgraph Layer3 [Audit & Report]
E & F --> G{Logic Auditor}
G --> H[Audit Verdict]
H --> I[Audit Certificate]
end
```
---
## 1. The Data Ingestion Layer
At the entry point, the system performs a **Normalization** process. Whether the input is a digital PDF or a scan, the system extracts two parallel evidence streams:
* **Visual Evidence**: Initial structural analysis for layout consistency (Pixel-level forensics is a roadmap feature).
* **Semantic Metadata**: Extracted text, dates, and institutional names are passed to the reasoning engine.
## 2. The GraphRAG Evidence Engine
The **GraphRAG (Graph Retrieval-Augmented Generation)** prototype is the core reasoning layer. It performs traversals across the **Institutional Graph**, which integrates:
* **Institutional Evidence Nodes**: Local indices synchronized with registry lookups (ROR/OpenAlex).
* **Historical Timeline Metrics**: Review of founding dates, accreditation periods, and institutional lifecycle.
## 3. The Audit Protocol
A final audit verdict is issued based on the **Multi-Agent Reasoning Swarm (MARS)** findings.
* **Logic Conflict Resolution**: If different agents find contradictory evidence, the **Logic Auditor** performs a deep-dive "Chain-of-Thought" (CoT) reasoning to resolve the state.
* **Evidence Weighting**: Each anomaly or supporting fact contributes to a cumulative risk score. The final verdict reflects the weighted confidence in the credential's authenticity markers.
---
> [!IMPORTANT]
> **Production Status:** Professional verification requires server-side document parsing, issuer evidence, revocation checks, and a signed audit response.
---
*Return to [Documentation Home](README.md)*
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