feat: US-004 - Preload ONNX model during boot sequence

src/lib/embedding-model.ts

@@ -0,0 +1,26 @@
+import { pipeline, type FeatureExtractionPipeline } from '@xenova/transformers'
+
+let extractor: FeatureExtractionPipeline | null = null
+let loading = false
+
+export async function initModel(): Promise<void> {
+  if (extractor || loading) return
+  loading = true
+  try {
+    extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2') as FeatureExtractionPipeline
+  } catch {
+    // Silently swallow — model unavailable, semantic search won't activate
+  } finally {
+    loading = false
+  }
+}
+
+export async function embedQuery(text: string): Promise<number[]> {
+  if (!extractor) throw new Error('Model not loaded')
+  const output = await extractor(text, { pooling: 'mean', normalize: true })
+  return Array.from(output.data as Float32Array)
+}
+
+export function isModelReady(): boolean {
+  return extractor !== null
+}