📍 /platform/key-components

System Architecture & Core Components

A transparent breakdown of the infrastructure, algorithms, and data pipelines that power Aevum Encyclopedia's knowledge delivery.

Core Engine Modules

Each component operates independently yet synchronizes in real-time to ensure accuracy, scale, and speed.

🌐

Knowledge Graph Database

A distributed RDF & property-graph hybrid storing 2.4M+ entities with typed relationships, temporal versioning, and cross-lingual alignment layers.

Neo4j + RDFStar Sharded Replication ACID Transactions
🧠

AI Reasoning Engine

Fine-tuned transformer models perform semantic linking, contradiction detection, and automated citation mapping across multimodal sources.

LLM Orchestration Vector Embeddings Confidence Scoring
🛡️

Verification Pipeline

Multi-stage fact-checking routing claims through primary source matching, statistical consistency checks, and expert editorial queues.

Source Triangulation Audit Trails 99.9% Accuracy Target
🌍

Multilingual Matrix

Neural machine translation optimized for academic and technical domains, with culturally-adaptive localization and script normalization.

140+ Languages Domain-Specific Fine-Tuning Real-time Sync
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Search & Discovery

Hybrid retrieval combining BM25 keyword matching with dense vector search, faceted filtering, and context-aware ranking.

Elasticsearch + Milvus <50ms Latency Semantic Query Expansion
✍️

Contributor Infrastructure

Git-like version control for content, role-based access, automated conflict resolution, and transparent edit history with revert capabilities.

RBAC System Immutable Logs Review Workflows

Data Pipeline Architecture

How raw information becomes verified, structured knowledge.

1

Ingestion

APIs, crawlers, and partner feeds stream raw data

2

Normalization

Entity resolution, schema mapping, deduplication

3

AI Processing

Embedding generation, relationship inference

4

Verification

Cross-source validation & expert review

5

Graph Integration

Versioned merge into production knowledge base

6

Delivery

CDN caching, search indexing, API exposure

Technical Specifications

Performance metrics and infrastructure guarantees.

Parameter Specification Status
Database Scale 2.4M+ entities, 18M+ edges, 42TB raw storage Production
AI Model Stack Custom 70B parameter transformer + open-source fallbacks Active
Search Latency (p95) <48ms global, <12ms regional Optimized
Uptime SLA 99.99% across all core endpoints Guaranteed
Update Frequency Real-time streaming for breaking topics, 24h full sync Live
API Rate Limits 10K req/min free, 500K req/min enterprise Scalable