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기술

Embeddings

Numerical representations of text that capture semantic meaning, enabling AI systems to understand relationships between concepts.

Embeddings 이해하기

Embeddings convert words, sentences, or documents into vectors (lists of numbers) that represent their meaning. Similar concepts have similar embeddings. AI systems use embeddings to find relevant content, understand context, and match queries with appropriate sources. For AI visibility, content with clear, coherent meaning translates to better embeddings, improving your chances of being retrieved for relevant queries.

관련 리소스

관련 용어

RAG (Retrieval-Augmented Generation)Vector Search

유용한 체크리스트

AI SEO Audit ChecklistChatGPT Optimization ChecklistStructured Data Implementation ChecklistProgrammatic SEO Launch Checklist

템플릿

Robots.txt for AI Crawlersllms.txt File TemplateOrganization Schema (JSON-LD)Article Schema (JSON-LD)

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다른 용어 보기

AI AgentAI CrawlersAI HallucinationAI SEOAI VisibilityChain of ThoughtCitation AuthorityContext WindowE-E-A-TFew-shot LearningFine-tuningGroundingInferenceJSON-LDLLM OptimizationMultimodal AIProgrammatic SEOPrompt EngineeringRAG (Retrieval-Augmented Generation)Robots.txtSemantic HTMLStructured DataTokenizationTopical AuthorityVector SearchZero-shot Learning