Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models.
orchestra-sentence-transformers/SKILL.md
---
name: sentence-transformers
description: Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Sentence Transformers, Embeddings, Semantic Similarity, RAG, Multilingual, Multimodal, Pre-Trained Models, Clustering, Semantic Search, Production]
dependencies: [sentence-transformers, transformers, torch]
---
# Sentence Transformers - State-of-the-Art Embeddings
Python framework for sentence and text embeddings using transformers.
## When to use Sentence Transformers
**Use when:**
- Need high-quality embeddings for RAG
- Semantic similarity and search
- Text clustering and classification
- Multilingual embeddings (100+ languages)
- Running embeddings locally (no API)
- Cost-effective alternative to OpenAI embeddings
**Metrics**:… load the full skill through Skill Me