{"id":15950,"date":"2024-06-24T10:02:09","date_gmt":"2024-06-24T17:02:09","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=15950"},"modified":"2025-06-16T10:43:53","modified_gmt":"2025-06-16T17:43:53","slug":"develop-performant-rag-apps-with-couchbase-and-vectorize","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/ko\/develop-performant-rag-apps-with-couchbase-and-vectorize\/","title":{"rendered":"\uce74\uc6b0\uce58\ubca0\uc774\uc2a4\uc640 \ubca1\ud130\ub77c\uc774\uc988\ub85c \uace0\uc131\ub2a5 RAG \uc571 \uac1c\ubc1c\ud558\uae30"},"content":{"rendered":"

\uae30\uc220 \ub9ac\ub354\uc640 \uac1c\ubc1c\uc790\uc5d0\uac8c \ud48d\ubd80\ud55c \ub3c5\uc810 \ub370\uc774\ud130\ub97c \uc81c\ub108\ub808\uc774\ud2f0\ube0c AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \ud1b5\ud569\ud558\ub294 \ud504\ub85c\uc138\uc2a4\ub294 \uc885\uc885 \ub2e4\uc74c\uacfc \uac19\uc774 \ubcf5\uc7a1\ud569\ub2c8\ub2e4. <\/span>\ub3c4\uc804\uc73c\ub85c \uac00\ub4dd \ucc2c \ub3c4\uc804<\/span><\/a>. \ubca1\ud130 \uc720\uc0ac\ub3c4 \uac80\uc0c9 \ubc0f \uac80\uc0c9 \uc99d\uac15 \uc0dd\uc131\uc740 \uc774\ub97c \uc9c0\uc6d0\ud558\ub294 \uac15\ub825\ud55c \ub3c4\uad6c\uc774\uc9c0\ub9cc, \ub370\uc774\ud130\ub97c \ucd94\ucd9c, \uccad\ud06c \ub610\ub294 \ubca1\ud130\ud654\ud558\ub294 \uacfc\uc815\uc5d0\uc11c \ud55c \ubc88\uc758 \uc2e4\uc218\ub85c \uc778\ud574 \uc131\ub2a5\uc774 \uc6b0\uc218\ud55c AI \uc5d0\uc774\uc804\ud2b8\uc640 \uc798\ubabb\ub41c \uc751\ub2f5\uacfc \ud658\uac01\uc73c\ub85c \uc0ac\uc6a9\uc790\ub97c \uc2e4\ub9dd\uc2dc\ud0a4\ub294 AI \uc5d0\uc774\uc804\ud2b8\uc758 \ucc28\uc774\uac00 \uc0dd\uae38 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc624\ub298 Capella\uc5d0\uc11c \uace0\ub3c4\ub85c \ucd5c\uc801\ud654\ub41c \ubca1\ud130 \uc778\ub371\uc2a4\ub97c \uad6c\ucd95\ud558\ub294 \uac83\uc774 \ud6e8\uc52c \uc26c\uc6cc\uc84c\ub2e4\ub294 \uae30\uc05c \uc18c\uc2dd\uc744 \uc54c\ub824\ub4dc\ub9bd\ub2c8\ub2e4!<\/span><\/p>\n

\uc774\ub294 \uce74\uc6b0\uce58\ubca0\uc774\uc2a4\uc640 \ubca1\ud130\ub77c\uc774\uc988 \ud300\uc774 DBaaS \ud50c\ub7ab\ud3fc\uc778 \uce74\uc6b0\uce58\ubca0\uc774\uc2a4 \uce74\ud3a0\ub77c\uc5d0 \ubca1\ud130\ub77c\uc774\uc988 \uc2e4\ud5d8\uc758 \uac15\ub825\ud55c \uae30\ub2a5\uc744 \uc81c\uacf5\ud558\uae30 \uc704\ud574 \uc5f4\uc2ec\ud788 \ub178\ub825\ud574\uc654\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4. <\/span>RAG<\/span><\/a>-GenAI \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158<\/span>. \ud65c\uc6a9 <\/span>\uc774 \ud1b5\ud569\uc744 \uc0ac\uc6a9\ud558\uba74 <\/span>\ucd5c\uace0\uc758 \ud14d\uc2a4\ud2b8 \uc784\ubca0\ub529 \ubaa8\ub378<\/span><\/a>, \uccad\ud06c \uc804\ub7b5, \uac80\uc0c9 \ub9e4\uac1c\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucf54\ub4dc\ub97c \ud55c \uc904\ub3c4 \uc791\uc131\ud558\uc9c0 \uc54a\uace0\ub3c4 \uac80\uc0c9 \uacb0\uacfc\uc758 \uc5f0\uad00\uc131\uc744 \uadf9\ub300\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uce74\ud3a0\ub77c\ub97c RAG\uc758 \uc9c0\uc2dd \ubca0\uc774\uc2a4\ub85c \uc0ac\uc6a9\ud558\uc5ec LLM \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud558\ub294 \ubaa8\ub4e0 \uc0ac\ub78c\uc5d0\uac8c \uc774 \uae30\ub2a5\uc740 \ub370\uc774\ud130\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \ubca1\ud130\ud654 \uc804\ub7b5\uc744 \ucc3e\uae30 \uc704\ud55c \uc2dc\ud589\ucc29\uc624 \uc5c6\uc774 \ub2e8\uc2dc\uac04\uc5d0 \ub354 \uc815\ud655\ud558\uace0 \uc6b0\uc218\ud55c \uc81c\ub108\ub808\uc774\ud2f0\ube0c AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\ub294 \ud68d\uae30\uc801\uc778 \uae30\uc220\uc785\ub2c8\ub2e4.\u00a0<\/span><\/p>\n

\ud2b9\uc9d5 \ubc0f \uae30\ub2a5<\/span><\/h2>\n

Vectorize\uc5d0\uc11c \uc2e4\ud5d8\uc744 \uc2e4\ud589\ud558\uba74 Couchbase Capella\uc5d0\uc11c \ucd5c\ub300 4\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \ubca1\ud130 \uac80\uc0c9 \uc778\ub371\uc2a4\ub97c \ub3d9\uc2dc\uc5d0 \uad6c\ucd95\ud558\uac8c \ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc778\ub371\uc2a4\ub294 \uc5c5\ub85c\ub4dc\ud55c \ubb38\uc11c \uc9d1\ud569\uc5d0\uc11c \ucc44\uc6cc\uc9c0\uba70, \uac01 \uac80\uc0c9 \uc778\ub371\uc2a4\ub294 \uc0ac\uc6a9\uc790\uac00 \uc9c0\uc815\ud55c \uc784\ubca0\ub529 \ubaa8\ub378\uacfc \uccad\ud0b9 \uc804\ub7b5\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucc44\uc6cc\uc9d1\ub2c8\ub2e4.\u00a0<\/span><\/p>\n

\ubb38\uc11c\ub97c \uae30\ubc18\uc73c\ub85c Vectorize\ub294 \uc0ac\uc6a9\uc790\uac00 \ub370\uc774\ud130\uc5d0 \ub300\ud574 \uc9c8\ubb38\ud560 \uc218 \uc788\ub294 \uc9c8\ubb38\uc758 \uc720\ud615\uc744 \uc608\uce21\ud560 \uc218 \uc788\ub294 \uc77c\ub828\uc758 \ud569\uc131 \uc9c8\ubb38\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uadf8\ub7f0 \ub2e4\uc74c Vectorize\ub294 \uad00\ub828\uc131 \uc54c\uace0\ub9ac\uc998\uacfc \uc815\uaddc\ud654\ub41c \ud560\uc778 \ub204\uc801 \uc774\ub4dd\uc744 \uc0ac\uc6a9\ud558\uc5ec Capella\uc5d0\uc11c \ubc18\ud658\ub41c \uacb0\uacfc\ub97c \uc810\uc218\ud654\ud558\uc5ec \uac01 \uc9c8\ubb38\uc5d0 \uac00\uc7a5 \uad00\ub828\uc131\uc774 \ub192\uc740 \ucee8\ud14d\uc2a4\ud2b8\ub97c \uac80\uc0c9\ud569\ub2c8\ub2e4.\u00a0<\/span><\/p>\n

\"\"<\/a>
\n\uadf8 \uacb0\uacfc, \ub2e4\uc591\ud55c \ubca1\ud130\ud654 \uc804\ub7b5\uc774 \ub370\uc774\ud130\uc5d0\uc11c \uc5bc\ub9c8\ub098 \uc798 \uc791\ub3d9\ud558\ub294\uc9c0 \uc815\ud655\ud558\uac8c \ubcf4\uc5ec\uc8fc\ub294 \uad6c\uccb4\uc801\uc778 \ub370\uc774\ud130\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc5ec\uc815\uc740 \uc5ec\uae30\uc11c \ub05d\ub098\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

Vectorize RAG \uc0cc\ub4dc\ubc15\uc2a4\ub97c \uc0ac\uc6a9\ud558\uba74 \uac80\uc0c9 \uc99d\uac15 \uc0dd\uc131 \ud750\ub984\uc744 \ud14c\uc2a4\ud2b8\ud560 \uc218 \uc788\ub294 \uc5d4\ub4dc\ud22c\uc5d4\ub4dc \uc778\ud130\ud398\uc774\uc2a4\ub97c \uc81c\uacf5\ud558\ub294 \uc2e4\uc2dc\uac04 \ub300\ud654\ud615 \uc778\ud130\ud398\uc774\uc2a4\uc5d0\uc11c \ub370\uc774\ud130\ub97c \ub354\uc6b1 \uc790\uc138\ud788 \ud0d0\uc0c9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\ud5d8\uc758 \ud569\uc131 \uc9c8\ubb38 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 \uc9c1\uc811 \ud504\ub86c\ud504\ud2b8\ub97c \uc785\ub825\ud558\uc5ec Capella\uc5d0\uc11c \ubc18\ud658\ub41c \ub0b4\uc6a9\uc744 \uc815\ud655\ud788 \ud655\uc778\ud558\uace0 \ub2e4\uc591\ud55c \ub300\uaddc\ubaa8 \uc5b8\uc5b4 \ubaa8\ub378\uc774 \ucffc\ub9ac\uc5d0 \uc5b4\ub5bb\uac8c \uc751\ub2f5\ud558\ub294\uc9c0 \uac80\uc0ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\"\"<\/a>
\n\ubca1\ud130\ub77c\uc774\uc988\uc640 \uce74\ud3a0\ub77c\ub97c \uc9c0\uc2dd \ubca0\uc774\uc2a4\ub85c \uc0ac\uc6a9\ud558\uba74 \uc131\ub2a5 \uc88b\uc740 <\/span>RAG \ud30c\uc774\ud504\ub77c\uc778<\/span><\/a> \ub97c \ud1b5\ud574 Gen AI \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uacfc AI \uc5d0\uc774\uc804\ud2b8\uac00 \ud56d\uc0c1 \uac00\uc7a5 \uc801\uc808\ud55c \ucee8\ud14d\uc2a4\ud2b8\ub97c \uac16\ucd9c \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \uc774\ub294 \uc0ac\uc6a9\uc790 \ub9cc\uc871\ub3c4\uac00 \ub192\uc544\uc9c0\uace0 LLM\uc758 \ud658\uac01\uc774 \uc904\uc5b4\ub4e0\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4!\u00a0<\/span><\/p>\n

\uac00\uc785\ud558\uace0 \ubb34\ub8cc\ub85c \uccb4\ud5d8\uc744 \uc2dc\uc791\ud558\uc138\uc694!<\/span><\/h2>\n

\uc2dc\uc791\ud558\ub824\uba74, <\/span>\ubca1\ud130\ub77c\uc774\uc988 \ubb34\ub8cc \uacc4\uc815 \uac00\uc785<\/span><\/a> \ubc0f <\/span>\uce74\ud3a0\ub77c 30\uc77c \ud3c9\uac00\ud310 \uacc4\uc815<\/span><\/a> \ub97c \ud074\ub9ad\ud574 \uc624\ub298 \uccab \uc2e4\ud5d8\uc744 \uc2e4\ud589\ud558\uc138\uc694! <\/span><\/p>","protected":false},"excerpt":{"rendered":"

For technology leaders and developers, the process of integrating rich, proprietary data into generative AI applications is often filled with challenges. Vector similarity search and retrieval augmented generation are powerful tools to help with this, but one mistake extracting, chunking, […]<\/p>","protected":false},"author":85347,"featured_media":15951,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[10122,3917,9973,9921,9937],"tags":[9924,9980],"ppma_author":[9982,9981],"class_list":["post-15950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-ai","category-company","category-generative-ai-genai","category-partners","category-vector-search","tag-rag-retrieval-augmented-generation","tag-vectorize-io"],"acf":[],"yoast_head":"\nDevelop Performant RAG Apps With Couchbase and Vectorize - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"The teams at Couchbase and Vectorize have been working hard to bring the power of Vectorize experiments to Couchbase Capella.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/ko\/develop-performant-rag-apps-with-couchbase-and-vectorize\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Develop Performant RAG Apps With Couchbase and Vectorize\" \/>\n<meta property=\"og:description\" content=\"The teams at Couchbase and Vectorize have been working hard to bring the power of Vectorize experiments to Couchbase Capella.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/ko\/develop-performant-rag-apps-with-couchbase-and-vectorize\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-24T17:02:09+00:00\" \/>\n<meta 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