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- # ๋„๋ฉ”์ธ ํŠนํ™” ํ•œ๊ตญ์–ด ์ž„๋ฒ ๋”ฉ ๋ชจ๋ธ _ ๊ฑด์„ค/์ธํ…Œ๋ฆฌ์–ด ๋ถ€๋ฌธ
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  RAG์™€ ๊ฒ€์ƒ‰ ๋“ฑ์— ํ™œ์šฉ๋  ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์ž„๋ฒ ๋”ฉ ๋ชจ๋ธ์„ ๊ณต์œ .
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  ํ•™์Šต ๋ฐฉ๋ฒ•๋ก  : SimCSE
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
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+ # ๋„๋ฉ”์ธ ํŠนํ™” ํ•œ๊ตญ์–ด ์ž„๋ฒ ๋”ฉ ๋ชจ๋ธ ์‹œ๋ฆฌ์ฆˆ _ ๊ฑด์„ค/์ธํ…Œ๋ฆฌ์–ด ๋ถ€๋ฌธ
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  RAG์™€ ๊ฒ€์ƒ‰ ๋“ฑ์— ํ™œ์šฉ๋  ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์ž„๋ฒ ๋”ฉ ๋ชจ๋ธ์„ ๊ณต์œ .
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+ ๋„๋ฉ”์ธ ๋ณ„๋กœ ์ง€์† ํ•™์Šต/๋ฐฐํฌ ์˜ˆ์ •์ž…๋‹ˆ๋‹ค.
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  ํ•™์Šต ๋ฐฉ๋ฒ•๋ก  : SimCSE
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.