---
id: sentence-transformers
version: "5.7.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# sentence-transformers — Embeddings, Retrieval, and Reranking

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install sentence-transformers
uv add sentence-transformers
poetry add sentence-transformers

## Description

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# Sentence Transformers: Embeddings, Retrieval, and Reranking

This framework provides an easy method to compute embeddings for accessing, using, and training state-of-the-art embedding and reranker models. It can be used to compute embeddings using Sentence Transformer models...

## AI interpretation — verify before relying

Computes dense and sparse text embeddings, and reranking scores using pre-trained transformer models for semantic search, similarity, and information retrieval tasks.

Verdict: Production-ready embedding framework with no known vulnerabilities, active maintenance, and permissive Apache-2.0 licensing. Broad runtime dependency footprint (transformers, torch, numpy, scikit-learn, scipy, tokenizers, huggingface-hub, typing_extensions, tqdm) is standard for ML workloads; suitable for semantic search, retrieval, and reranking in research and production systems.

[View on SkillFed](https://skillfed.io/packages/sentence-transformers) · [View on PyPI](https://pypi.org/project/sentence-transformers/)