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

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**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.
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{
"name": "universal-sentence-encoder",
"version": "1.0.0",
"description": "Complete Universal Sentence Encoder model bundled for offline use",
"dimensions": 512,
**feat: add scripts to reproduce and test race conditions, write-only mode, and indexing issues** - **New Scripts**: - Created `reproduce_race_condition.cjs` to demonstrate and debug race condition issues in `Brainy`. This includes: - Scenarios where verbs arrive before nouns. - Testing indexing delays and streaming simulations. - Evaluation of the `autoCreateMissingNouns` feature. - Added `reproduce_writeonly_issue.js` to reproduce and verify issues with write-only mode: - Ensures add operations succeed while search operations give appropriate errors. - Handles placeholder nouns and validates their replacement with real data. - Developed `test_race_condition_fixes.cjs` to verify the implemented fixes: - Covers scenarios for `writeOnlyMode`, fallback storage lookups, and missing noun auto-creation. - **Documentation Updates**: - Added `
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"downloadDate": "2025-08-02T21:42:25.604Z",
**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.
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"source": "tensorflow-models/universal-sentence-encoder",
"approach": "full-bundle",
"modelUrl": "https://storage.googleapis.com/tfjs-models/savedmodel/universal_sentence_encoder",
"bundledLocally": true,
"reliability": "maximum"
}
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