Synchronization & Mapping

Technical Architecture

The synchronization layer leverages a distributed CRDT mesh with edge caching. Each regional cluster maintains a partial replica, resolving conflicts deterministically via vector clocks and Lamport timestamps. Semantic mapping is handled by our proprietary OntoMap engine, which uses dual-encoder transformers to project multilingual concepts into a shared 1024-dimensional vector space.

Data Flow Protocol

const syncClient = new AevumSync({
  region: "global",
  protocol: "crdt-mesh-v2",
  encryption: "aes-256-gcm",
  offlineMode: true
});

// Subscribe to concept mapping updates
syncClient.on("map:update", (payload) => {
  console.log(`Mapped: ${payload.source} → ${payload.target}`);
  cache.persist(payload.vector_embedding);
});

await syncClient.connect();

The mapping pipeline processes incoming text through three stages: tokenization with language detection, embedding generation via multilingual transformers, and graph alignment against our central knowledge ontology. Conflicts are resolved using semantic similarity thresholds (default: 0.87 cosine similarity).

Integration & APIs

Connect your research tools, CMS, or learning management system to Aevum's synchronization network. We provide RESTful endpoints, WebSocket streams for real-time updates, and SDKs for Python, JavaScript, and Rust.

Authentication

Use OAuth 2.0 or API keys scoped to specific knowledge domains. All sync operations are encrypted in transit and at rest. Webhooks support event filtering for article updates, mapping resolutions, and contributor actions.

Supported Endpoints

Update Log