### Changes:
- Added `backup` command to export database content into a JSON file.
- Includes noun and verb data with metadata.
- Allows specifying a custom output filename (`brainy-backup.json` by default).
- Added `restore` command to import data from a JSON file into the database.
- Supports clearing existing data with `--clear` option before restoration.
- Displays success information for imported nouns and verbs.
- Integrated help text examples for the new commands.
- Enhanced CLI interface with additional indentation for better readability.
- Adjusted `completion-setup` to include autocomplete for backup and restore operations.
### Purpose:
Introduced backup and restore functionality to improve database management and data portability, enabling users to save and load datasets seamlessly for better flexibility in usage and recovery.
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`.
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.
