Implementation Framework

Technical documentation, architecture specifications, and integration guidelines for building, extending, and maintaining the Aevum Encyclopedia platform.

v3.2.0 MIT License Last Updated: Oct 24, 2025 Docs Version: 3.2

📖 Framework Overview

Aevum Encyclopedia is built on a modular, event-driven architecture designed for scale, accuracy, and multilingual accessibility. The framework separates data ingestion, AI verification, editorial review, and content delivery into independent services that communicate via a central message bus.

ℹ️

This framework is intended for core contributors, system architects, and integration partners. Public consumers should refer to the Developer Portal.

🏗️ System Architecture

The platform follows a microservices topology with a centralized knowledge graph and distributed edge caching. Core components include:

🗃️ Data Ingestion Layer

Handles raw content submission, OCR processing, metadata extraction, and format normalization (Markdown, DOCX, JSON-LD).

KafkaNode.jsTika

🧠 AI Verification Engine

Multi-model fact-checking pipeline using cross-referencing LLMs, citation validation, and confidence scoring.

PythonPyTorchRedis

🌐 Content Delivery Network

Edge-optimized static generation with dynamic API fallback. Supports instant switching between 140+ language variants.

Next.jsCloudflareCDN

🛡️ Editorial Gateway

Role-based access control, version tracking, conflict resolution, and multi-stage peer review workflow.

GoPostgreSQLRabbitMQ

🚀 Quick Start

1. Clone & Initialize

bash

# Clone the core framework repository
git clone https://github.com/aevum/encyclopedia-framework.git
cd encyclopedia-framework

# Install dependencies & initialize environment
npm install
cp .env.example .env
npm run setup:db

2. Configuration Example

yml

aevum:
  version: "3.2.0"
  deployment:
    mode: "staging"
    regions: ["us-east", "eu-west", "ap-south"]
  ai_pipeline:
    fact_check_threshold: 0.85
    max_retries: 3
    citation_requirement: "strict"
  cache:
    ttl_seconds: 3600
    strategy: "stale-while-revalidate"

🔌 API Reference

All API endpoints follow RESTful conventions with JSON:API response formatting. Authentication is handled via OAuth2 client credentials or API keys scoped to specific modules.

Endpoint	Method	Description	Status
`/v3/articles`	`GET`	Search & retrieve articles with faceted filtering	Stable
`/v3/articles/:id/verify`	`POST`	Trigger AI fact-checking pipeline	Stable
`/v3/graph/relations`	`GET`	Query knowledge graph edges & nodes	Beta
`/v3/editorial/submissions`	`POST`	Submit draft for peer review	Stable
`/v3/i18n/sync`	`POST`	Pull translation updates from crowd network	New

🤝 Contribution Workflow

Aevum uses a trunk-based development model with protected branches. All contributions require automated testing, editorial sign-off, and CI validation before merge.

Fork & Branch: Create feature branches from develop using the convention feat/module-name
Local Validation: Run npm run lint, npm run test:unit, and npm run build:docs
Submit PR: Include updated changelog, test coverage diff, and impact analysis
Editorial Review: Core maintainers verify technical soundness; domain experts validate content accuracy
Auto-Merge: Upon 2 approvals + green CI, changes are squashed into main and deployed to staging

⚠️

Do not commit directly to main or develop. All merges require branch protection rules enforcement.

📊 System Status & Health

Service	Region	Uptime (30d)	Latency (p95)	Status
API Gateway	Global	99.99%	42ms	Operational
AI Verification Cluster	US-East	99.94%	180ms	Operational
Edge CDN	Multi-region	99.999%	18ms	Operational
Knowledge Graph DB	EU-West	99.91%	65ms	Scaling