**feat(models): add pre-bundled Universal Sentence Encoder for offline use**

- Introduced `@soulcraft/brainy-models` package with pre-bundled TensorFlow models for enhanced offline reliability.
- Added `index.d.ts` and `index.js` allowing offline embedding workflows with the Universal Sentence Encoder model.
- Included utility scripts for model compression, size retrieval, and availability checks.
- Added `metadata.json` and `model.json` defining the Universal Sentence Encoder configuration with offline bundling.
- Ensured comprehensive model documentation, error handling, and robust logging for seamless integration.
- Supported optional model quantization placeholders for future TensorFlow.js enhancements.

**Purpose**: Enable fully offline-ready embedding workflows via pre-bundled Universal Sentence Encoder models, ensuring maximum reliability and air-gapped environment compatibility.

brainy-models-package/models/universal-sentence-encoder/metadata.json

@@ -0,0 +1,12 @@
+{
+  "name": "universal-sentence-encoder",
+  "version": "1.0.0",
+  "description": "Complete Universal Sentence Encoder model bundled for offline use",
+  "dimensions": 512,
+  "downloadDate": "2025-08-01T23:20:17.338Z",
+  "source": "tensorflow-models/universal-sentence-encoder",
+  "approach": "full-bundle",
+  "modelUrl": "https://storage.googleapis.com/tfjs-models/savedmodel/universal_sentence_encoder",
+  "bundledLocally": true,
+  "reliability": "maximum"
+}