Individual skill
sentence-transformers
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.
backend/cli/skills/llm-tools/sentence-transformers/SKILL.md
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- Last checked
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- sentence-transformers Declared skill tag
- embeddings Declared skill tag
- semantic-similarity Declared skill tag
- rag Declared skill tag
- multilingual Declared skill tag
- multimodal Declared skill tag
- pre-trained-models Declared skill tag
- clustering Declared skill tag
- semantic-search Declared skill tag
- production Declared skill tag
- engineering Derived category
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# 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