embedding generator

SKILL.md

The Embedding Generator skill helps you create, manage, and utilize text embeddings for semantic search, similarity matching, clustering, and classification tasks. It guides you through selecting appropriate embedding models, preprocessing text for optimal vectorization, and storing/querying embeddings efficiently.

Text embeddings transform words, sentences, or documents into dense numerical vectors that capture semantic meaning. Similar concepts end up close together in vector space, enabling powerful AI applications like semantic search, recommendations, and content understanding.

This skill covers everything from choosing the right model (OpenAI, Cohere, sentence-transformers, etc.) to implementing production-ready embedding pipelines with proper batching, caching, and quality validation.

의미 체계 검색, 클러스터링 및 유사성 작업을 위한 텍스트 임베딩 생성 및 관리 출처: eddiebe147/claude-settings.

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