A library for text embeddings with caching.
Project description
embedding-utils
A lightweight Python library providing a convenient wrapper around Sentence Transformers for generating text embeddings with caching. Perfect for projects that need repeated embeddings of the same texts without re-computation, or that want a straightforward API for embedding-based similarity.
Features
- Easy Embedding: Encode batches of texts into vector embeddings with a single method.
- Built-in Caching: Prevents re-computation for texts previously embedded; saves and loads from disk.
- Device Management: Optionally integrates with device-selector or falls back to CPU/GPU detection.
- Cosine Similarity: Utility method to compute similarity between two embedding vectors.
Installation
pip install embedding-utils==0.1.4
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