Core Architectures — Aevum Encyclopedia

◈ System Data Flow & Topology

📥

Ingestion

ETL / Scraping

🧠

NLP Pipeline

Transformers

🔍

Verification

Consensus Engine

🌐

Knowledge Graph

Neo4j / Astra

⚡

Search & API

Vector + REST

Distributed Knowledge Graph

Core

A hybrid graph-database architecture combining property graphs with vector embeddings. Enables multi-hop reasoning, temporal tracking, and cross-lingual entity resolution.

Storage Neo4j Aura + Astra DB
Nodes 142M+ entities
Relationships 890M+ edges
Replication Geo-distributed (3 regions)

AI & NLP Engine

Machine Learning

Multi-stage transformer pipeline for entity extraction, sentiment analysis, cross-reference mapping, and automated summary generation. Fine-tuned on academic and encyclopedic corpora.

Base Models LLaMA-3, Mistral, Custom RoBERTa
Latency < 120ms avg (inference)
Throughput 45K tokens/sec
GPU Cluster A100 / H100 hybrid

Real-Time Ingestion

Infrastructure

Event-driven ETL pipelines processing structured datasets, academic papers, and licensed content. Features automatic deduplication, language detection, and metadata normalization.

Streams Kafka + Flink
Daily Volume 2.1M documents
Deduplication MinHash + LSH
Formats PDF, DOCX, XML, JSON-LD

Consensus Verification

Core

Multi-layer fact-checking system combining statistical citation analysis, expert review routing, and automated contradiction detection. Maintains 99.94% accuracy SLA.

Citation Check Primary source validation
Conflict Detection Graph-based contradiction scan
Expert Queue Role-based routing
Audit Trail Immutable hash chain

Semantic Search & Retrieval

Machine Learning

Hybrid search combining dense vector retrieval, sparse BM25 scoring, and graph-aware re-ranking. Supports multi-lingual queries, fuzzy matching, and contextual filtering.

Index Milvus + Elasticsearch
Embeddings 3072-dim (custom)
P95 Latency 38ms
Query Throughput 12K QPS

Edge Delivery & CDN

Infrastructure

Global edge caching with Wasm-powered static generation and dynamic API routing. Ensures sub-200ms TTFB worldwide with automatic failover and DDoS mitigation.

CDN Cloudflare + Fastly
Edge Compute Wasm / Cloudflare Workers
Cache Hit Rate 94.2%
Uptime SLA 99.99%

◈ Technology Stack

Layer	Technology	Purpose
Orchestration	Kubernetes (EKS/GKE)	Container lifecycle, auto-scaling, service mesh
Backend Runtime	Rust + Go + Python	Core services, ingestion workers, ML inference
Graph Database	Neo4j Aura + Astra DB	Entity-relationship storage, multi-hop queries
Vector Store	Milvus + Qdrant	Embedding indexing, semantic similarity search
Message Queue	Apache Kafka + Redpanda	Event streaming, pipeline decoupling
ML Framework	HuggingFace + PyTorch	Transformer fine-tuning, NER, classification
Observability	OpenTelemetry + Grafana	Distributed tracing, metrics, alerting
Security	HashiCorp Vault + OIDC	Secrets management, identity, RBAC

◈ API & Integration

Interact with the core architectures programmatically via our RESTful and GraphQL endpoints. All requests support authentication, rate limiting, and webhook callbacks.

                    # Query knowledge graph & retrieve verified entities

                    curl -X POST https://api.aevumenc.com/v1/search \ 
                    
  -H "Authorization: Bearer $AEVUM_TOKEN" \ 
                    
  -H "Content-Type: application/json" \ 
                    
  -d '{
                    
    "query": "quantum entanglement applications",
                    
    "mode": "semantic_graph",
                    
    "depth": 2,
                    
    "verify_level": "expert_consensus"
                    
  }'