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.
