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.
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.
Replaced type aliases with interface extensions to enhance type compatibility and readability. Reorganized exports in `index.ts` to streamline imports.
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.
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.
