Individual skill

sentence-transformers

Generates sentence, text, and image embeddings locally with the Python sentence-transformers (SBERT) library, using pre-trained Hugging Face models such as all-MiniLM-L6-v2, all-mpnet-base-v2, and multilingual variants. Covers encoding, cosine similarity, semantic search, batch encoding, fine-tuning, and LangChain/LlamaIndex integration. Use when building embeddings for RAG, running semantic search or similarity scoring, clustering or classifying text, embedding multilingual text without an API, or fine-tuning an embedding model on domain data. For API-based or managed embeddings, use OpenAI or Cohere Embed instead.

plugins/KalarisLabs/research-agent-skills/skills/sentence-transformers/SKILL.md

Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61

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Observed behavior

Network or broad shell

Last checked

Nov 4, 2026

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