- Refactored function signature to include line breaks for enhanced readability and adherence to style guidelines.
- No functional changes introduced, ensuring consistent behavior.
These adjustments improve code clarity and maintain alignment with project formatting standards.
- Updated `findUSELoadFunction` return type for better type safety and clarity.
- Enhanced load function detection logic with improved readability and consistency.
- Applied formatting adjustments, such as line breaks and removal of redundant semicolons, to adhere to coding standards.
These changes ensure stronger type enforcement, align with project style guidelines, and improve maintainability of Universal Sentence Encoder initialization logic.
- Updated `npm` shield in `README.md` to reflect the new version (v0.9.11).
- Incremented `VERSION` constant in `src/utils/version.ts` to align with the release update.
These changes ensure documentation and source files remain consistent with the latest release version.
- Added batch embedding support with `defaultBatchEmbeddingFunction`, leveraging shared model instances for optimized performance.
- Integrated `isInitializing` flag to prevent recursive initialization and ensure smooth concurrent operation handling during `BrainyData` initialization.
- Pre-loaded Universal Sentence Encoder in `BrainyData` to prevent delays during embedding.
- Introduced fallback mechanisms in embedding initialization for better error resiliency and model reusability.
- Updated `addBatch` with support for batchSize and refactored text/vector processing logic for clearer separation and memory management.
- Improved GPU and CPU backend selection in Universal Sentence Encoder for compatibility across environments.
- Enhanced memory management by cleaning tensors after embedding operations.
- Updated README with instructions for batch embedding, threading updates, and GPU/CPU optimizations.
- Integrated GPU acceleration via WebGL in `embedding.ts` and `distance.ts` for optimized performance.
- Enhanced fallback mechanisms for CPU processing when GPU is unavailable or fails to initialize.
- Added threading support for embedding and distance calculations in `embedding.ts` and `distance.ts` to improve performance and avoid blocking the main thread.
- Refactored TensorFlow.js imports to dynamically load modules (`@tensorflow/tfjs-core`, `@tensorflow/tfjs-backend-webgl`, `@tensorflow/tfjs-backend-cpu`) for modular dependency usage.
- Introduced GPU-accelerated batch distance calculations in `distance.ts` with appropriate error handling.
- Applied consistent formatting to improve code readability and maintainability while adhering to project style guidelines.
Refactored worker script initialization in `src/utils/workerUtils.ts` by introducing global variables for safer script execution. Applied consistent formatting adjustments, including removal of redundant semicolons, to improve code readability and maintainability without altering functionality.
