Semantic Ingestion Pipeline
Raw data from academic journals, open repositories, and contributor submissions is routed through a multi-stage NLP pipeline that extracts entities, normalizes terminology, and maps content to our taxonomy.
Raw Capture
PDFs, HTML, APIs, and structured datasets are ingested via secure endpoints.
Text Normalization
Language detection, encoding standardization, and markdown conversion.
Entity Extraction
NER models identify people, places, concepts, and temporal markers.
Taxonomy Mapping
Auto-classification into 140+ language trees and discipline clusters.
"engine": "Aevum-NLP-v3",
"languages": ["en", "zh", "es", "fr", "ar", "hi", "... 134 more"],
"batch_size": 2048,
"latency_target": "<2.4s per 10k tokens"
}
Multi-Layer Verification Engine
Accuracy is non-negotiable. Every claim passes through three independent validation layers before publication, combining algorithmic cross-referencing with human expert review.
Layer 1: Source Triangulation
Claims are matched against ≥3 independent primary sources. Contradictions trigger automated flagging.
Layer 2: Confidence Scoring
ML models assign a 0–100 reliability score based on source age, authority, and citation density.
Layer 3: Expert Review
Domain specialists validate edge cases, nuanced topics, and culturally sensitive content.
Dynamic Knowledge Graph
Aevum doesn't store articles in isolation. Every concept, entity, and relationship is mapped in a live RDF-compliant graph, enabling semantic queries, pathfinding, and cross-disciplinary discovery.
WHERE {
?concept ae:relatedTo ?target .
?concept ae:confidenceScore ?score .
FILTER(?score > 0.85)
}
Nodes & Edges
42M+ entities connected by 180M+ typed relationships (causal, temporal, spatial, hierarchical).
Embedding Space
768-dim vector representations enable similarity search and concept clustering.
Real-Time Sync & Diff Engine
Knowledge evolves. Our event-sourced architecture tracks every edit, revision, and translation delta, ensuring consistency across global nodes without blocking reads.
Event Capture
Every modification is logged as an immutable event with metadata.
Conflict Resolution
CRDT-based merging resolves concurrent edits deterministically.
Delta Propagation
Changes stream to edge caches in <300ms via WebSocket/SSE.
Security & Privacy Architecture
Trust requires transparency and protection. Aevum employs zero-knowledge query routing, role-based access controls, and end-to-end encryption for contributor workspaces.
Query Anonymization
Search traffic is routed through privacy-preserving proxies. No behavioral profiling.
RBAC & Audit Logs
Fine-grained permissions with immutable access trails for compliance (GDPR, FERPA).
Encrypted Storage
AES-256 at rest, TLS 1.3 in transit. Contributor drafts use client-side encryption.