📐 Embedding Geometry
/ecosystem--integrations/embedding-geometry
Advanced patterns treating embeddings as geometric control surfaces:
Semantic Drift Detection:
typescript
import { getOptimizedEmbedder, cosineSimilarity } from 'agentic-flow/embeddings';
const embedder = getOptimizedEmbedder();
let baseline: Float32Array;
// Set baseline context
baseline = await embedder.embed('User asking about API authentication');
// Check for drift
const current = await embedder.embed(userMessage);
const drift = 1 - cosineSimilarity(baseline, current);
if (drift > 0.15) {
console.log('Semantic drift detected - escalate');
}Memory Physics:
- Temporal decay (forgetting)
- Interference detection (nearby memories weaken)
- Memory consolidation (merge similar patterns)
Swarm Coordination:
typescript
// Agents coordinate via embedding positions, not messages
const agentPosition = await embedder.embed(agentRole);
const taskPosition = await embedder.embed(currentTask);
// Geometric alignment for task routing
const alignment = cosineSimilarity(agentPosition, taskPosition);Coherence Monitoring:
typescript
// Detect model degradation/poisoning via embedding drift
await monitor.calibrate(knownGoodOutputs);
const result = await monitor.check(newOutput);
if (result.anomalyScore > 1.5) {
console.log('WARNING: Output drifting from baseline');
}