- 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.
Integrated `calculateDistancesWithGPU` for GPU-accelerated distance calculations, optimizing performance for compute-intensive tasks. Introduced robust error handling for GPU failures with automatic fallback to threaded or sequential CPU calculations. Enhanced code structure and readability with consistent formatting adjustments.
Applied consistent formatting adjustments across `src/brainyData.ts`, including line breaks, parentheses, and object destructuring. These changes enhance code readability, maintainability, and alignment with the project's style guidelines without altering functionality.
Applied consistent formatting adjustments throughout `src/index.ts`, including line breaks, object destructuring, and type exports. Improved code readability and alignment with project style guidelines. These changes maintain existing functionality without introducing behavioral changes.
Updated the README to include details on GPU acceleration using WebGL for compute-intensive tasks, automatic CPU fallback, and multithreading improvements. Added descriptions for GPU-accelerated distance functions and performance configuration options. Enhanced documentation for better clarity and usability.
Applied consistent formatting adjustments, including line breaks, parentheses, and object destructuring. These changes enhance code readability and maintainability while preserving existing functionality.
Applied consistent formatting to align with the project's style guidelines, including adjustments to line breaks, parentheses, and object destructuring. These changes enhance code readability and maintainability without altering functionality.
Replaced `@tensorflow/tfjs` and `@tensorflow/tfjs-layers` with `@tensorflow/tfjs-backend-webgl` to optimize backend performance and reduce unused package imports.
Made code more concise by removing unnecessary semicolons and adjusting the code formatting to align with the project's style. Improved readability and maintainability.
