### Changes:
- Renamed the `publish` script to `deploy` in `package.json` for clarity and consistency with deployment terminology.
- Incremented version number from `0.8.11` to `0.9.0` in `src/utils/version.ts`.
### Purpose:
Aligned the naming of the deployment script with standard practices to improve readability and maintainability. Updated the version to `0.9.0` to reflect recent changes and enhancements in the project.
### Changes:
- Removed `SimpleEmbedding` class, including its character-based embedding functionality and associated utility methods.
- Refined the Universal Sentence Encoder (USE) implementation:
- Added support for handling edge cases such as empty strings and arrays by returning zero vectors.
- Filtered out invalid input, improving robustness.
- Addressed `EPSILON` flag initialization and TensorFlow.js environment setup to prevent runtime errors.
- Updated error handling for embedding failures to provide more detailed traceability.
- Simplified `createEmbeddingFunction` and `defaultEmbeddingFunction` to focus solely on TensorFlow-based embeddings.
### Purpose:
Streamlined the embedding API by removing the outdated `SimpleEmbedding` class and fully transitioning to TensorFlow's Universal Sentence Encoder. These changes improve input validation, error resilience, and compatibility with TensorFlow.js, ensuring a more consistent and reliable embedding experience.
### Changes:
- Updated `VERSION` constant in `src/utils/version.ts` from `0.8.0` to `0.8.11`.
### Purpose:
Incremented the project version to reflect new changes, updates, or bug fixes, ensuring proper version tracking and release management.
Implemented new simplified commands (`create-simple`, `train-simple`, `generate-simple`) for easier LLM model management. Added pre-configured model presets (`tiny`, `small`, `medium`, `large`) and enhanced options to streamline usage for beginners. Updated CLI and API documentation with detailed examples. Incremented version to 0.8.0.
Introduced `llm-augmentation.md`, detailing the creation, training, testing, exporting, and deployment of language models using Brainy's graph database. Added examples showcasing practical usage and pipeline integration. Included class implementations in `llmAugmentations.ts`.
Incremented version to 0.7.5 across `version.ts` and `README.md`. Introduced WebSocket and WebRTC conduit augmentations in codebase and documented usage examples thoroughly in `README.md`.
Upgraded minimum Node.js version from 18.0.0 to 23.11.0 across `README.md`, `package.json`, and `version.ts`. Optimized distance utilities and pipelines to leverage Node.js 23.11+ native performance improvements (e.g., `array.reduce`, WebStreams API). Incremented version to 0.7.4 for consistency.
Updated `README.md` to reflect version `0.7.3` with improved feature descriptions and scaling highlights. Enhanced the versioning script to automatically update the version badge in `README.md` for consistency. Incremented `version.ts` to `0.7.3`.
Enhanced the `README.md` with more engaging and user-friendly descriptions, highlighting Brainy's adaptability and intelligence. Introduced new sections detailing adaptive intelligence, data pipeline enhancements, and use case expansion. Removed outdated dependencies from `package-lock.json`. Updated `version.ts` to `0.7.2`.
Introduced a script to generate a `version.ts` file exporting the package version from `package.json`. This simplifies accessing version data in the CLI, especially for global installations. Included auto-generated `version.ts` in the project structure.
Enhanced the installation section with guidance on resolving TensorFlow.js dependency conflicts using `--legacy-peer-deps`. Added CLI autocomplete setup instructions to improve user experience. Suppressed specific TensorFlow.js Node.js backend warnings in the embedding utils. Updated dependencies to the latest versions.
Introduced new utilities for detecting execution environments (browser, Node.js, Web Worker) and checking threading availability. Added `workerUtils` for executing functions in Web Workers or Worker Threads seamlessly based on the environment.
Deleted `examples/externalPlugins.js` and `pluginLoader.ts` as they are no longer used. Updated all `.ts` imports to `.js` across the codebase. Added `MemberOf` to `VerbType` and filtered disabled augmentations in `executeAugmentationPipeline`. Updated documentation to reflect new augmentation registration process. Removed deprecated `allowImportingTsExtensions` from `tsconfig.json`.
Enhanced embedding functionality by introducing `createTensorFlowEmbeddingFunction` and `createSimpleEmbeddingFunction` for flexible text vectorization. Updated TensorFlow.js dependencies to be automatically included with the package. Added detailed examples and documentation in `README.md`. Improved error handling and refactored default embedding function implementation. Updated `package.json` dependencies.
