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

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- 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.
This commit is contained in:
David Snelling 2025-08-01 16:22:58 -07:00
parent 93483572d8
commit e476d45fac
16 changed files with 7678 additions and 52 deletions
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brainy-models-package/models/universal-sentence-encoder/metadata.json Normal file
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{
"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"
}