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.
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`.
Implemented a WebSocket API for real-time communication and REST API routes for CRUD operations on nouns and verbs. Added a server initialization script with WebSocket server integration and improved application structure with modularized routing and services.
Implemented WebSocketConduitAugmentation and WebRTCConduitAugmentation for syncing Brainy instances. Added comprehensive usage examples to showcase data synchronization via WebSocket and WebRTC.
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 Removed outdated dependencies from `package-lock.json`.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.
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.
Updated search methods to support `includeVerbs` for retrieving associated verbs in results. Enhanced edge creation to allow metadata embedding when no vector is provided. Improved query handling and vectorization logic for consistent processing.
Added extensive configuration support for storage adapters, including S3-compatible storage (R2, Amazon S3, Google Cloud Storage). Introduced environment variable fallback for seamless cloud integration. Updated createStorage logic for improved compatibility. Implemented read-only mode to restrict write operations and provide a safer database configuration.
Added the `SequentialPipeline` class for structured augmentation execution. Integrated threading capabilities via the `THREADED` execution mode in `augmentationPipeline`. Enhanced WebSocket support for real-time data processing through pipelines.
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.
Added `FileSystemStorage` and exports for sequential pipelines, including `SequentialPipeline` and related types (`PipelineResult`, `SequentialPipelineOptions`).
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.
Commented out all Firestore-related code across the project, including sync, storage, and vector search features. Removed Firebase dependencies (`firebase`, `firebase-admin`) from `package.json`. Updated `README.md` to reflect the temporary unavailability of Firestore features.
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.
Refactored memory augmentation methods to return `Promise<AugmentationResponse>` for async handling. Introduced a new `search` method for vector similarity searches within the memory system.
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`.
Improved the fallback sequence for storage initialization by adding a secondary attempt to use FileSystemStorage in browser environments before defaulting to in-memory storage. Enhanced error handling and logging for unavailable storage options.
Updated error messages for initialization failures to use "BrainyData" for clarity. Enhanced `getStorageStatus` to handle storage adapters without the `getStorageStatus` method, ensuring proper reporting of storage type, usage, and adapter details.
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.
Replaced type aliases with interface extensions to enhance type compatibility and readability. Reorganized exports in `index.ts` to streamline imports.
Introduced an optional `requestPersistentStorage` flag to enable persistent storage permission requests in the browser. Updated `OPFSStorage` to include methods for requesting and checking persistent storage status, and modified `createStorage` to handle the new flag.
Introduced direct exports for `GraphNoun`, `GraphVerb`, `EmbeddedGraphVerb`, and related graph types (`Person`, `Place`, `Thing`, etc.) to streamline imports and improve type accessibility.
Introduced direct exports for several augmentation interfaces (e.g., ISenseAugmentation, ICognitionAugmentation) to simplify imports and enhance type accessibility. Updated type imports and exports in relevant files.
Introduced a new README section explaining how to import graph types individually to enable tree shaking. Updated `package.json` exports to support direct graph type imports. Enhanced `GraphNoun` structure by adding optional `label` and `embeddedVerbs` properties while simplifying the `CreatorMetadata` interface.
Refactored `fileSystemStorage` to dynamically import `fs` and `path` modules, improving compatibility with various environments. Updated initialization logic to set paths post-import. Added error handling for failed imports and enhanced type annotations for better maintainability.
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.
Deleted augmentation pipeline examples and `.releaserc.json`, streamlining the repository by eliminating redundant example implementations and release automation files.
Introduced an augmentation event pipeline supporting multiple execution modes (e.g., SEQUENTIAL, PARALLEL). Added new Memory Augmentation type for versatile data storage/retrieval (e.g., fileSystem, in-memory, Firestore). Updated `README.md` with pipeline usage, examples, and augmentations reorganization. Included new demo files for augmentation examples.
