### Changes:
- Created `examples/browser_compatible_exports.ts`:
- Introduced browser-friendly exports with polyfill for `Buffer` in browser environments.
- Implemented shims for Node.js modules (`fs`, `util`, and `path`) to avoid compatibility issues.
- Exported browser-compatible types and utilities: `BrainyData`, `NounType`, `VerbType`, graph types, core types, distance functions, embedding utilities, and storage adapters.
- Explicitly excluded Node.js/CLI-specific parts to focus on browser compatibility.
- Added `src/types/brainyDataInterface.ts`:
- Defined `BrainyDataInterface` to break the circular dependency between `brainyData.ts` and `serverSearchAugmentations.ts`.
- Provided methods for managing nodes, relationships, initialization, search, and adding vector data with metadata.
### Purpose:
- Enhanced the codebase to support browser environments by introducing browser-specific exports and avoiding Node.js dependencies.
- Established clearer separation of concerns and modularity by introducing the `BrainyDataInterface` for dependency management, improving maintainability and flexibility.
### Changes:
- Updated README.md:
- Refined the project description to highlight its lightweight and powerful nature.
- Enhanced feature list, replacing outdated entries with modern updates (e.g., TensorFlow integration replacing LLM creation).
- Included detailed installation and usage instructions for TensorFlow.js support and embedding workflows.
- Added "Usage Options" section to define different import methods and supported environments.
- Expanded "Backup and Restore" details, showcasing CLI and scripting examples.
- Introduced optimized HNSW indexing for large datasets.
- Replaced examples with a unified and simplified demonstration approach.
- Embedded advanced build and environment-specific configurations for better clarity.
- Removed outdated content related to language model generation, including LLM-related commands and examples.
- Added README.demo.md with full instructions for running the interactive demo.
### Purpose:
This update modernizes the documentation and focuses on Brainy’s current capabilities, simplifying onboarding for new users while removing deprecated features. It also streamlines project understanding, enabling developers to better utilize its features in diverse environments.
### Changes:
- Deleted the following outdated example files from the `examples` directory:
- `buildTimeRegistration.js`
- `conduitAugmentationExample.js`
- `configurationTest.js`
- `dataInspectionExample.js`
- `import-graphTypes.js`
- `browser-server-search/index.html`
### Purpose:
These example files were removed as they were no longer relevant or up-to-date with the current state of the project. This cleanup ensures that users referencing examples have access to accurate and relevant documentation and code, reducing potential confusion.
Standardized documentation by adding a centered Brainy logo across README files, examples, and guides. Adjusted text formatting for consistency, improved alignment, and readability of feature descriptions and examples.
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`.
Implemented WebSocketConduitAugmentation and WebRTCConduitAugmentation for syncing Brainy instances. Added comprehensive usage examples to showcase data synchronization via WebSocket and WebRTC.
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.
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 Firestore vector search integration using `@firebase/firestore-vector-search`. Added support for restricting searches by specific noun types to optimize performance and relevance. Updated `README.md` to document the new functionality and usage examples.
Applied consistent indentation and line-breaking rules to code and text sections in `README.md`, ensuring better formatting and alignment for readability. No functional changes made.
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`.
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.
Added a new example file `import-graphTypes.js` to showcase how to selectively import the `graphTypes` module, highlighting usage of `GraphNoun`, `GraphVerb`, `NounType`, and `VerbType`.
Changed package name and imports to use the @soulcraft scope. Updated `README.md` to reflect the use of a private npm package and added publishing/installing instructions. Configured `package.json` with `private: true` and restricted access for publishing. Updated demo link to the correct GitHub repository.
