v4.2.0 • Production Ready

System Architecture

A distributed, event-driven infrastructure engineered for semantic search, real-time knowledge graph synchronization, and AI-augmented content verification.

Kubernetes Neo4j Elasticsearch Kafka gRPC/REST
High-Level Design
Architecture Topology

Our platform follows a modular microservices pattern with a service mesh, ensuring horizontal scalability, fault isolation, and sub-50ms query latency globally.

Clients Web / Mobile / API SDKs Edge / CDN WAF • DDoS TLS Termination API Gateway Auth • Rate Limit Routing • Load Balancing Observability Search Svc ES • Vector DB Content Svc Articles • Media Graph Engine Neo4j • RDF AI / ML Pipeline NLP • Fact Check Persistent Storage PostgreSQL • Redis • S3/OSS
Core Services
Microservices Breakdown

Each service is independently deployable, versioned, and monitored via distributed tracing.

🔍

Search & Discovery

Hybrid semantic + keyword search with vector embeddings, faceted filtering, and personalized ranking algorithms.

Elasticsearch Pinecone BGE-Embeddings
🌐

Knowledge Graph

Stores entities, relationships, and taxonomies. Powers interactive concept mapping and cross-reference resolution.

Neo4j RDF/OWL SPARQL
🤖

AI Verification Engine

Multi-model pipeline for fact-checking, citation validation, bias detection, and automated translation alignment.

PyTorch LangChain Ray
📦

Content Lifecycle

Manages drafting, peer review, version control, media processing, and immutable archival of encyclopedia entries.

PostgreSQL Git-LFS WebAssembly
Pipeline
Content & Query Data Flow

How knowledge moves from submission to global edge delivery.

1. Ingestion & Validation

Contributors submit content via API or dashboard. Schema validation and initial spam/toxicity filters run synchronously.

Kafka Ingest JSON Schema

2. AI Augmentation & Fact-Check

LLMs extract entities, generate summaries, verify claims against trusted corpora, and suggest cross-links.

Async Workers Vector Match

3. Graph Integration & Indexing

Entities are merged into the knowledge graph. Document and search indexes are updated via change-data-capture streams.

CDC Streams ES Reindex

4. Edge Caching & Delivery

Parsed HTML, JSON-LD metadata, and media assets are pushed to CDN edge nodes with stale-while-revalidate rules.

HTTP/3 Brotli
Infrastructure
Technology Stack

Open-source first, cloud-agnostic, and optimized for developer velocity.

☸️

Kubernetes

Orchestration
🐘

PostgreSQL

Relational Data
🔷

Neo4j

Graph Database
🔎

Elasticsearch

Search Index
📡

Apache Kafka

Event Streaming
⚡

Redis

Caching / Queues
🐹

Go

Gateway / Core
🐍

Python

AI / Data Pipelines
📊

OpenTelemetry

Observability
🌐

Cloudflare

Edge / WAF
Trust & Compliance
Security, API & Reliability

Enterprise-grade safeguards for data integrity, access control, and global uptime.

🔒 Security & Compliance

  • End-to-end TLS 1.3 with mutual TLS for internal service mesh
  • RBAC & ABAC policies enforced via OPA/Gatekeeper
  • SOC 2 Type II, GDPR, and ISO 27001 compliant
  • Immutable audit logs with cryptographic chaining
  • Automated secret rotation via HashiCorp Vault

📡 API & Developer Ecosystem

  • RESTful & GraphQL endpoints with rate limiting (10k req/min)
  • Webhooks for content updates & graph changes
  • OpenAPI 3.0 specs & Postman collection
  • Official SDKs: Python, JavaScript, Go, Rust
  • Sandbox environment with mock datasets
curl -X POST https://api.aevum.dev/v1/search \ -H "Authorization: Bearer $AEVUM_API_KEY" \ -H "Content-Type: application/json" \ -d '{"query": "quantum entanglement", "limit": 10, "lang": "en"}'