### Changes:
- Removed `github-pages.yml` GitHub Actions workflow file.
- Updated `README.md`:
- Added documentation for `npm run deploy:demo` to deploy the demo to GitHub Pages.
- Updated the live demo link to reflect the repository's namespace change.
- Added `gh-pages` dependency (v6.3.0) in `package.json`.
- Introduced `deploy:demo` script in `package.json` for demo deployment.
### Purpose:
Streamlined the demo deployment process by removing the dedicated GitHub Pages workflow and replacing it with a manual deployment script (`npm run deploy:demo`). This enhances developer control while maintaining simplicity in deploying updates to the live demo.
### Changes:
- Added new TensorFlow.js dependencies:
- `@tensorflow/tfjs-backend-cpu`
- `@tensorflow/tfjs-converter`
- `@tensorflow/tfjs-core`
- `@tensorflow/tfjs-layers`
- Updated `package-lock.json` to reflect dependency updates and changes in peer dependencies.
- Refactored build scripts for clarity and consistency:
- Simplified build commands using `BUILD_TYPE` environment variable for unified and browser builds.
- Updated `demo` and `publish` scripts to align with new build structure.
- Introduced specific deployment scripts for AWS, GCP, and Cloudflare in `cloud-wrapper`:
- `deploy☁️aws`
- `deploy☁️gcp`
- `deploy☁️cloudflare`
- Added a user-friendly `deploy:cloud` script for deployment guidance.
- Removed redundant script configurations and legacy-based Rollup files.
### Purpose:
Enhanced dependency management and standardized build/deployment workflows by improving script clarity, removing redundancy, and aligning configurations with TensorFlow.js changes. This improves maintainability and user experience in development and production environments.
### Changes:
- Added `rollup.unified.js` for building a unified bundle with environment detection (Node.js, Browser, Serverless).
- Added `rollup_config.js` for browser-specific bundle configurations.
- Created `tsconfig.browser.json` for browser builds and `tsconfig.unified.json` for unified builds.
- Implemented custom Rollup plugins:
- **`fixThisReferences`**: Resolves `this` reference issues in TensorFlow files.
- **`nodeModuleShims`**: Provides empty shims for Node.js built-in modules in browser environments.
- Updated dependencies in `package-lock.json` to include Rollup plugins and updated `buffer` dependency for polyfills.
- Created `src/unified.ts` as the unified library entry point with dynamic environment detection.
### Purpose:
- Introduced a unified and browser-compatible build pipeline to ensure `Brainy` can seamlessly operate across multiple environments (Node.js, Browser, Serverless).
- Resolved compatibility issues with Node.js modules and specific library builds.
- Enhanced flexibility and usability for developers working in diverse runtime environments.
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`.
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 `generateRandomGraph` method to create randomized graphs with configurable entity counts and types, supporting automated testing and experimentation. Enhanced metadata vectorization logic to handle various metadata formats reliably, ensuring compatibility and fallback mechanisms during embedding. Updated `README.md` with detailed feature descriptions and usage guides.
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.
Added a comprehensive command-line interface (CLI) for interacting with the Brainy vector database. The CLI supports various operations, including database initialization, adding/searching nouns, managing relationships, and querying database status. Enhanced type validation logic for nouns and verbs to ensure consistency and enforce default types for invalid inputs. Updated test scripts to verify type validation and edge cases.
Introduced configurable read-only mode for databases to restrict write operations. Added support for S3-compatible storage services, including Cloudflare R2, Amazon S3, and Google Cloud Storage. Updated `README.md` with usage examples and configuration details.
Deleted all Firestore augmentation, storage, sync implementations, and related type definitions. Removed the FirestoreSync example file as part of the cleanup for disabled Firestore functionality.
Introduced `pluginLoader.ts` to enable loading and configuring augmentation plugins from external packages. Added `examples/externalPlugins.js` to demonstrate usage. Enhanced storage status reporting in `opfsStorage` and `BrainyData` with detailed storage capacity and usage methods. Updated README with an external plugin usage guide.
