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AI & LLM
RAG (Retrieval-Augmented Generation)
A technique that enhances AI responses by retrieving relevant external information before generating an answer.
RAG (Retrieval-Augmented Generation) 이해하기
RAG combines the power of language models with real-time information retrieval. When a user asks a question, the system first retrieves relevant documents or data, then uses this context to generate a more accurate response. For AI visibility, RAG means your content can be pulled into AI responses in real-time, making up-to-date, well-structured content even more valuable for being cited.
다른 용어 보기
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