Universal Sentence Encoder

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Python

JavaScript

Python

Chroma also provides a convenient wrapper around [Universal Sentence Encoder](https://research.google.com/pubs/archive/46808.pdf).

This embedding function uses https://tfhub.dev/google/universal-sentence-encoder/4 available on Tensorflow Hub

This embedding function relies on the tensforflow_hub python package, which you can install with pip install tensforflow_hub.

import chromadb.utils.embedding_functions as embedding_functions
huggingface_ef = embedding_functions.UniversalSentenceEncoderEmbeddingFunction()

You can pass in an optional model_name argument, which lets you choose which model to use. By default, Chroma uses https://tfhub.dev/google/universal-sentence-encoder/4.

JavaScript

Support for [Universal Sentence Encoder](https://research.google.com/pubs/archive/46808.pdf) embedding function is not implemented yet. Feel free to contribute by following the doc: [Custom Embedding Functions](https://docs.trychroma.com/embeddings?lang=js)