David Snelling
42571c5883
- Introduced new documentation files under `docs/`: - `model-bundling-analysis.md`: Provides detailed analysis of current, bundled, hybrid, and dynamic model loading approaches, including pros, cons, and recommendations. - `model-management.md`: Explains how Brainy manages Universal Sentence Encoder models, including setup, usage, and troubleshooting. - `optional-model-bundling.md`: Details the `@soulcraft/brainy-models` package for offline reliability with pre-bundled models. - Added `src/utils/robustModelLoader.ts`: - Implements enhanced model loading with retry mechanisms, timeout handling, fallback URLs, and optional local model bundling. - Supports Node.js and browser environments with exponential backoff logic. - Key Updates: - **Hybrid Loading Strategy**: Recommended for balancing reliability and flexibility via hybrid online/offline mechanisms. - **Enhanced Fallback Scenarios**: Robust loader improves network-dependent reliability for embedding workflows. - **Offline Reliability Support**: Optional model bundling eliminates dependency on external services, supporting air-gapped and edge environments. **Purpose**: Introduce a hybrid model loading approach with robust options for |
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| .. | ||
| distance.ts | ||
| embedding.ts | ||
| environment.ts | ||
| fieldNameTracking.ts | ||
| index.ts | ||
| jsonProcessing.ts | ||
| operationUtils.ts | ||
| robustModelLoader.ts | ||
| statistics.ts | ||
| tensorflowUtils.ts | ||
| textEncoding.ts | ||
| typeUtils.ts | ||
| workerUtils.ts | ||