🏗️ System Architecture
Distributed microservices architecture optimized for low-latency knowledge retrieval and real-time AI inference.
Frontend & Edge
- Next.js 14 + React Server Components
- Vercel Edge Network / Cloudflare CDN
- WebSocket for live sync
- Static asset versioning via SRI
Compute & API Layer
- Go 1.22 + gRPC microservices
- Kubernetes (EKS/GKE) auto-scaling
- Redis Cluster for session/cache
- GraphQL Gateway + REST fallback
Data & Storage
- PostgreSQL 16 (relational metadata)
- Neo4j 5.20 (knowledge graph)
- ScyllaDB (event sourcing/audit)
- S3-compatible object storage (media)
🔌 API & Integration
RESTful and GraphQL interfaces with comprehensive SDK support, webhook triggers, and rate-limiting.
HTTP / JSON
# Retrieve article by slug with AI summary
GET /v3/articles/{slug}?expand=summary,references&locale=en
Authorization: Bearer <api_key>
X-Request-ID: uuid-v4
Response (200 OK)
{
"id": "ae:article:quantum_computing",
"title": "Quantum Computing",
"summary": "AI-generated abstract (120 tokens)",
"last_verified": "2025-08-22T14:30:00Z",
"confidence_score": 0.98
}
GraphQL
query GetArticleWithRelations($slug: ID!) {
article(slug: $slug) {
id
title
content(format: "markdown")
relations(depth: 2) {
nodes { title, type }
edges { relationship, weight }
}
metadata {
word_count
languages
version
}
}
}\n Event Payload
// POST /hooks/your-endpoint
{
"event": "article.updated",
"timestamp": "2025-09-14T10:15:22Z",
"data": {
"article_id": "ae:article:neural_networks",
"changed_fields": ["content", "references"],
"editor": "user_883921",
"diff_url": "https://ae.dev/diff/..."
},
"signature": "sha256:..."
}📊 Data Model & Schema
Knowledge graph structure, versioning strategy, and metadata fields powering semantic retrieval.
JSON Schema (Excerpt)
{
"$schema": "https://aevum.dev/schemas/article/v3",
"type": "object",
"properties": {
"id": { "type": "string", "pattern": "^ae:article:[a-z0-9_]+$" },
"title": { "type": "string", "minLength": 3, "maxLength": 256 },
"content": { "type": "string", "format": "markdown" },
"graph_nodes": {
"type": "array",
"items": { "type": "string" },
"description": "Linked concept UUIDs in Neo4j"
},
"verification": {
"type": "object",
"properties": {
"status": { "enum": ["pending", "reviewed", "verified"] },
"sources": { "type": "array" },
"confidence": { "type": "number", "minimum": 0, "maximum": 1 }
}
}
}
}⚡ Performance & Reliability
Benchmarks measured across global edge nodes under standard production load.
| Metric | Value | Conditions |
|---|---|---|
| Global Availability | 99.99% | Multi-region active-active failover |
| API Latency (p95) | 82ms | Edge-cached, JSON < 2KB |
| Graph Query (p95) | 145ms | 3-hop traversal, 10M+ nodes |
| AI Inference | 320ms | Summarization/Translation batch |
| Throughput | 42K req/sec | Load balanced, stateless workers |
🔒 Security & Compliance
Enterprise-grade encryption, access controls, and regulatory adherence.
Encryption & Data Protection
- TLS 1.3 for all in-transit traffic
- AES-256-GCM for at-rest storage
- Key rotation via AWS KMS / HashiCorp Vault
- PII auto-redaction in logs & analytics
Access & Identity
- OAuth 2.0 / OpenID Connect
- SCIM 2.0 for enterprise SSO
- Role-Based Access Control (RBAC)
- IP allowlisting & geo-restrictions
Compliance Certifications
- SOC 2 Type II (Audited 2025)
- GDPR & CCPA Compliant
- ISO 27001 Certified
- FERPA & COPPA ready (Education tier)
Monitoring & Incident Response
- 24/7 SOC with automated alerting
- WAF + DDoS mitigation (Cloudflare)
- Immutable audit trails (7-year retention)
- SLA-backed breach notification (< 24h)
🧩 SDKs & Developer Tools
Official client libraries, CLI utilities, and third-party ecosystem support.
Installation
# Python
pip install aevum-encyclopedia
# Node.js
npm install @aevum/sdk
# CLI Tool
curl -fsSL https://cli.aevum.dev/install.sh | sh
aevum auth login --scope read,write,graph