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sentence-transformers

separate

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.

When to use

• 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
• **15,700+ GitHub stars**
• **5000+ pre-trained models**

When not to use

• API-based embeddings
• task-specific instructions
• managed embedding services

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