1. Document Control & Revision History
| Version | Date | Author | Change Description | Review Status |
|---|
| 2.4.1 | 2025-09-12 | Architectural Ops | Updated KG graph schema v4; added RAG pipeline latency SLAs | Approved |
| 2.4.0 | 2025-08-28 | AI Systems | Introduced vectorized semantic search endpoints; deprecated legacy keyword indexing | Approved |
| 2.3.2 | 2025-07-15 | Security Team | Enforced OIDC SSO requirements; updated CORS policies for multi-region CDNs | Approved |
| 2.3.0 | 2025-06-01 | Core Engineering | Initial publication of /type-spec-pdf format; API v3 stabilization | Approved |
2. System Architecture Overview
Scope: Defines the reference architecture for the Aevum Encyclopedia platform, including ingestion, storage, indexing, AI processing, and public API delivery layers.
The platform operates on a microservices architecture deployed across multi-region AWS/GCP infrastructure. Core components include:
ingestion-gateway: Handles bulk article imports, contributor submissions, and webhook feeds from trusted academic publishers.knowledge-graph-engine: Neo4j + Apache Jena stack for entity resolution, relationship mapping, and citation tracing.ai-verification-pipeline: Fine-tuned LLM cluster with cross-reference validation against peer-reviewed corpora.content-delivery-layer: Edge-cached HTML/JSON responses via CloudFlare/Fastly with geo-aware routing.api-gateway: Rate-limited, OIDC-authenticated REST/GraphQL interface with versioned namespaces (`/v3`, `/v4-beta`).
3. Core Data Models
3.1 Article Entity
{
"id": "ae:art:9f8e7d6c5b4a",
"slug": "quantum-entanglement-fundamentals",
"title": "Quantum Entanglement: Principles & Applications",
"status": "published",
"language": "en",
"categories": ["physics", "quantum-mechanics", "theoretical-science"],
"word_count": 8420,
"last_reviewed": "2025-09-10T14:22:00Z",
"verification_score": 0.987,
"metadata": {
"authors": ["dr.kim.r", "prof.tanaka.m"],
"peer_review_cycle": 4,
"citation_count": 312,
"graph_nodes_linked": 47
}
}
3.2 Contributor Profile
| Field | Type | Description | Constraints |
|---|
contrib_id | UUID v7 | Unique identifier for verified contributors | Immutable |
domain_certifications | Array[String] | Verified academic/professional credentials | Max 12, audit-tracked |
edit_weight | Float (0.0-1.0) | Trust score based on historical accuracy | Decay: 0.02/year |
| last_active | ISO 8601 | Timestamp of last successful submission | Required |
4. API Specification (v3 Stable)
4.1 Endpoint Routing
| Method | Path | Description | Auth Required |
|---|
GET | /v3/articles/{id} | Retrieve full article with metadata & citations | No (Public) |
GET | /v3/search/semantic | Vector-based concept search with similarity ranking | API Key |
POST | /v3/articles/draft | Submit new article for AI verification queue | OIDC + Contributor Token |
GET | /v3/graph/relationships/{entity} | Fetch connected nodes & edge weights | API Key |
4.2 Request/Response Contract (Semantic Search)
GET /v3/search/semantic?q="CRISPR gene editing ethics"&limit=5&rank_by=relevance
Headers:
Authorization: Bearer <api_key>
X-Request-ID: ae-req-88f2a1b9
Response (200 OK):
{
"query_vector": [0.12, -0.45, 0.88, ...],
"results": [
{
"id": "ae:art:c1d2e3f4",
"title": "Ethical Frameworks in Genomic Editing",
"similarity_score": 0.942,
"match_dimensions": ["bioethics", "crispr-cas9", "regulatory-policy"],
"snippet": "Current international guidelines emphasize transparent oversight..."
}
],
"metadata": {
"latency_ms": 42,
"vector_index_version": "v4.2.1",
"cache_hit": false
}
}
5. AI & Knowledge Graph Pipeline
The verification and enrichment pipeline operates in four sequential stages:
- Ingestion & Normalization: Raw markdown/HTML converted to standardized internal schema. Citations parsed via CrossRef/DOI lookup.
- Entity Resolution: Named Entity Recognition (NER) maps terms to Wikidata/Neo4j knowledge base. Disambiguation applied via context vectors.
- Fact-Checking Layer: Dual-model evaluation (LLM-A for claim extraction, LLM-B for source verification). Claims marked
verified, pending, or disputed.
- Graph Propagation: Validated entities injected into relationship graph. Edge weights updated based on citation frequency and cross-disciplinary references.
SLA Target: 95th percentile pipeline latency ≤ 3.2s per article (avg. 6k words). Batch processing throughput: 12,000 articles/hour.
6. Security, Compliance & Data Governance
| Domain | Standard/Policy | Implementation |
|---|
| Authentication | OAuth 2.1 / OpenID Connect | OIDC provider integration with hardware-backed MFA for editorial roles |
| Data Encryption | AES-256-GCM / TLS 1.3 | At-rest (S3/EBS), in-transit (mTLS between services), key rotation every 90 days |
| Privacy Compliance | GDPR, CCPA, FERPA | Pseudonymized contributor data, right-to-erasure hooks, regional data residency (EU/US/APAC) |
| Content Moderation | Automated + Human Review | Toxicity filtering, plagiarism detection (Turnitin API), dispute resolution queue |
7. Deployment & Infrastructure
7.1 Environment Matrix
| Environment | Region | Scaling Policy | DB Replica Factor |
|---|
| Production | us-east-1, eu-west-1, ap-southeast-1 | KEDA auto-scaling on CPU > 70% or queue depth > 500 | 3 (Active-Active) |
| Staging | us-west-2 | Manual scaling, nightly sync from prod snapshot | 1 (Read-only) |
| Dev/Sandbox | Local/Docker Compose | Fixed allocation | 1 (Ephemeral) |
7.2 CI/CD Pipeline
pipeline:
stages:
- lint & unit tests (Go, Python, TypeScript)
- schema migration validation (Prisma/Liquibase)
- security scan (Trivy, Snyk)
- canary deployment (10% traffic, 30m observation)
- full rollout + rollback guardrails
- post-deploy integration smoke tests
8. Appendix: Error Codes & Rate Limits
| Code | HTTP Status | Description | Retry Strategy |
|---|
AES-4001 | 400 | Malformed JSON or missing required fields | Fix payload |
AES-4010 | 401 | Expired or invalid API token | Re-authenticate |
AES-4290 | 429 | Rate limit exceeded (1000 req/min default) | Exponential backoff |
AES-5030 | 503 | AI verification pipeline saturated | Retry with jitter (max 5 attempts) |