Introduced `encode-image.js` to convert images to Base64 and create corresponding HTML `<img>` tags. Outputs a sample encoded result to `encoded-image.html`.
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`.
Added several badges for TypeScript, TensorFlow, and Cartographer. Expanded on iConduit augmentations with WebSocket and WebRTC details, revised feature descriptions, and introduced a related projects section. Updated examples for improved clarity.
Introduced a cloud deployment wrapper for Brainy supporting AWS Lambda, Google Cloud Run, and Cloudflare Workers. Added configuration options, deployment scripts, and API reference. Updated `README.md` with contribution guidelines and cloud deployment documentation.
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`.
Rebranded from "Soulcraft Brainy" to "Brainy" throughout `README.md`. Improved readability by reformatting long paragraphs and restructuring lists for better clarity.
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 Removed outdated dependencies from `package-lock.json`.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 `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.
Expanded the documentation to include comprehensive usage scenarios, advanced configurations, and clearer explanations of Brainy's capabilities. Improved formatting and structure for better readability and accessibility.
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.
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.
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 README section detailing how to import and use augmentation interfaces without pulling the entire library. Updated `package.json` exports to enable direct imports for augmentation types. Included example demonstrating custom augmentation implementation and usage.
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.
Enhanced README to clarify the transition from a vector database to a combined Graph and Vector database, detailing support for graph entities, relationships, and full capabilities of the new data model. Updated examples and documentation accordingly.
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.
Changed `"private"` to `false` in package.json to allow publishing the package to npm. The `"access": "restricted"` setting ensures that access remains limited to @soulcraft organization members. Updated README to reflect the new configuration.
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.
