2\uc8fc \ub3d9\uc548<\/a> \uc138 \uac1c\ub97c \ub2e4 \uc368\ubcf8 \uc148\uc778\ub370, \uc774 \uacbd\ud5d8\uc744 \uc815\ub9ac\ud574\ub450\uba74 \ube44\uc2b7\ud55c \uc0c1\ud669\uc5d0 \uc788\ub294 \ubd84\ub4e4\ud55c\ud14c \ub3c4\uc6c0\uc774 \ub420 \uac83 \uac19\uc544\uc11c \uc801\ub294\ub2e4.<\/p>\n\ubbf8\ub9ac \ub9d0\ud574\ub450\uc790\uba74 \u2014 \ub098\ub294 ML \uc5d4\uc9c0\ub2c8\uc5b4\uac00 \uc544\ub2c8\ub2e4. \ubc31\uc5d4\ub4dc \uac1c\ubc1c\uc790\uac00 RAG \uc2dc\uc2a4\ud15c \ub9cc\ub4e4\ub2e4\uac00 \ubc1c\uacac\ud55c \uac83\ub4e4\uc774\ub2e4.<\/p>\n
\nLangChain 0.3.12: \ubb50\ub4e0 \ud560 \uc218 \uc788\ub2e4\ub294 \uac8c \uc624\ud788\ub824 \ubc1c\ubaa9\uc744 \uc7a1\ub294\ub2e4<\/h2>\n
LangChain 0.3.12\ub294 \uc0dd\ud0dc\uacc4\uac00 \ub113\ub2e4. \uac70\uc758 \ubaa8\ub4e0 LLM provider, \ubca1\ud130 DB, \ubb38\uc11c \ub85c\ub354\ub97c \uc9c0\uc6d0\ud55c\ub2e4. \ucc98\uc74c \uc138\ud305\ud560 \ub54c \uc774 \ud48d\ubd80\ud55c \uc778\ud14c\uadf8\ub808\uc774\uc158\uc774 \uc815\ub9d0 \uc88b\uc558\ub2e4.<\/p>\n
from langchain_community.document_loaders import ConfluenceLoader\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain_openai import OpenAIEmbeddings, ChatOpenAI\nfrom langchain_community.vectorstores import Qdrant\nfrom langchain.chains import RetrievalQA\n\n# \uae30\ubcf8 RAG \ud30c\uc774\ud504\ub77c\uc778 \u2014 30\ubd84 \uc548\uc5d0 \ub3cc\uc544\uac00\ub294 \ubc84\uc804\nloader = ConfluenceLoader(\n url="https:\/\/yourteam.atlassian.net\/wiki",\n username="user@example.com",\n api_key=os.environ["CONFLUENCE_API_KEY"],\n space_key="TEAM"\n)\n\ndocs = loader.load()\nsplitter = RecursiveCharacterTextSplitter(\n chunk_size=1000,\n chunk_overlap=200\n)\nchunks = splitter.split_documents(docs)\n\nvectorstore = Qdrant.from_documents(\n chunks,\n OpenAIEmbeddings(model="text-embedding-3-small"),\n url="http:\/\/localhost:6333",\n collection_name="knowledge_base"\n)\n\nqa_chain = RetrievalQA.from_chain_type(\n llm=ChatOpenAI(model="gpt-4o-mini"),\n retriever=vectorstore.as_retriever(search_kwargs={"k": 5})\n)\n<\/code><\/pre>\n\uc774 \ucf54\ub4dc, 30\ubd84 \uc548\uc5d0 \ub3cc\uc544\uac04\ub2e4. \uc9c4\uc9dc\ub85c. \uadf8\uac8c LangChain\uc758 \uac00\uc7a5 \ud070 \uc7a5\uc810\uc774\ub2e4.<\/p>\n
\uadf8\ub7f0\ub370 \uac70\uae30\uc11c \ubb38\uc81c\uac00 \uc2dc\uc791\ub410\ub2e4. \uc751\ub2f5 \uc2dc\uac04\uc774 \ud3c9\uade0 4.2\ucd08\uc600\ub294\ub370, \ub0b4\ubd80 \ub3c4\uad6c\ub77c\uc11c \ucc98\uc74c\uc5d4 \uadf8\ub0e5 \ub118\uc5b4\uac14\ub2e4. \uadfc\ub370 \ud300\uc6d0\ub4e4\uc774 “\ub108\ubb34 \ub290\ub9ac\ub2e4”\uace0 \ud558\uae30 \uc2dc\uc791\ud588\uace0, \ub098\ub3c4 \uc810\uc810 \ub290\ub07c\uae30 \uc2dc\uc791\ud588\ub2e4.<\/p>\n
profiling\uc744 \ud574\ubcf4\ub2c8 \ubb38\uc81c\uac00 \uc5ec\ub7ec \uacf3\uc5d0 \uc788\uc5c8\ub2e4. LCEL(LangChain Expression Language)\ub85c \uccb4\uc778\uc744 \uad6c\uc131\ud558\uba74 \ub0b4\ubd80\uc801\uc73c\ub85c \uac1d\uccb4 \uc0dd\uc131\uc774 \ub9ce\uc774 \uc77c\uc5b4\ub098\ub294\ub370, \uc774\uac8c \uc0dd\uac01\ubcf4\ub2e4 overhead\uac00 \ucef8\ub2e4. \ud2b9\ud788 retriever \ud638\ucd9c\ub9c8\ub2e4 \uc0c8 \uac1d\uccb4\uac00 \uc0dd\uc131\ub418\ub294 \ud328\ud134\uc774 \uc788\uc5b4\uc11c, \ud2b8\ub798\ud53d\uc774 \uc870\uae08\ub9cc \ubab0\ub824\ub3c4 \uba54\ubaa8\ub9ac\uac00 \ub208\uc5d0 \ub744\uac8c \uc62c\ub77c\uac14\ub2e4.<\/p>\n
\ub354 \uc9dc\uc99d\ub0ac\ub358 \uac74 \ub514\ubc84\uae45\uc774\uc5c8\ub2e4. LangChain\uc740 \ucd94\uc0c1\ud654 \ub808\uc774\uc5b4\uac00 \ub9ce\uc544\uc11c, \ubb54\uac00 \uc798\ubabb\ub410\uc744 \ub54c \uc5b4\ub514\uc11c \uc2e4\ud328\ud588\ub294\uc9c0 \ucd94\uc801\ud558\uae30\uac00 \uc5b4\ub835\ub2e4. LangSmith\ub97c \ubd99\uc774\uba74 \ub098\uc544\uc9c0\uae34 \ud558\ub294\ub370, \uadf8\uac83\ub3c4 \ucd94\uac00 \uc124\uc815\uc774\uace0 \u2014 \ubaa8\ub4e0 \uac8c “\ucd94\uac00 \uc124\uc815”\uc774\ub2e4.<\/p>\n
\ubc84\uc804 \uac04 \ud558\uc704 \ud638\ud658\uc131 \ubb38\uc81c\ub294 \uc5ec\uc804\ud558\ub2e4. langchain-community<\/code>\uac00 \ubd84\ub9ac\ub41c \uc774\ud6c4\ub85c import \uad6c\uc870\uac00 \uacc4\uc18d \ubc14\ub00c\ub294\ub370, \uc608\uc804 \ud29c\ud1a0\ub9ac\uc5bc \ub530\ub77c \ud558\ub2e4\uac00 DeprecationWarning \ud3ed\ud0c4 \ub9de\ub294 \uacbd\ud5d8\uc740 \uc774\uc81c LangChain \uc785\ubb38 \uc758\uc2dd\ucc98\ub7fc \ub290\uaef4\uc9c8 \uc815\ub3c4\ub2e4.<\/p>\n\ud504\ub85c\ud1a0\ud0c0\uc785\uc740 \ube60\ub974\uac8c \ub9cc\ub4e4 \uc218 \uc788\ub2e4. \ud504\ub85c\ub355\uc158 \uc548\uc815\uc131\uc740 \uc9c1\uc811 \ubcf4\uac15\ud574\uc57c \ud55c\ub2e4 \u2014 \uc774\uac8c \ub0b4\uac00 2\uc8fc \ud6c4\uc5d0 \ub0b4\ub9b0 \uacb0\ub860\uc774\ub2e4.<\/p>\n
\nLlamaIndex 0.11.4: \uac80\uc0c9 \ud30c\uc774\ud504\ub77c\uc778\ub9cc\ud07c\uc740 \ud655\uc2e4\ud788 \uc798 \ub9cc\ub4e4\uc5c8\ub2e4<\/h2>\n
LlamaIndex\ub294 \ucc98\uc74c\ubd80\ud130 \ubc29\ud5a5\uc774 \ub2e4\ub974\ub2e4. LangChain\uc774 “\uc6b0\ub9ac\uac00 \ub2e4 \uc5f0\uacb0\ud574\uc904\uac8c”\ub77c\uba74, LlamaIndex\ub294 “\uc6b0\ub9ac\ub294 \ub370\uc774\ud130 \uc778\ub371\uc2f1\uc774\ub791 \uac80\uc0c9\uc5d0 \uc9d1\uc911\ud560\uac8c”\ub77c\ub294 \ub290\ub08c\uc774\ub2e4.<\/p>\n
\uc2e4\uc81c\ub85c \uc368\ubcf4\ub2c8 \uc774 \ucca0\ud559\uc774 \ucf54\ub4dc\uc5d0\uc11c \ub4dc\ub7ec\ub09c\ub2e4. \ucffc\ub9ac \ud30c\uc774\ud504\ub77c\uc778\uc774 \ud6e8\uc52c \uc138\ubc00\ud558\uac8c \uc81c\uc5b4\ub41c\ub2e4. hybrid search(\ud0a4\uc6cc\ub4dc + \ubca1\ud130), reranking, \ucffc\ub9ac \ubd84\ud574 \uac19\uc740 \uac78 \uc4f8 \ub54c LlamaIndex\uac00 \ud6e8\uc52c \uc790\uc5f0\uc2a4\ub7fd\ub2e4.<\/p>\n
\ub098\ud55c\ud14c \ud2b9\ud788 \uc758\ubbf8 \uc788\uc5c8\ub358 \uac74 QueryFusionRetriever<\/code>\uc600\ub2e4.<\/p>\nfrom llama_index.core import VectorStoreIndex, StorageContext\nfrom llama_index.core.retrievers import QueryFusionRetriever\nfrom llama_index.core.query_engine import RetrieverQueryEngine\nfrom llama_index.vector_stores.qdrant import QdrantVectorStore\nfrom llama_index.embeddings.openai import OpenAIEmbedding\nimport qdrant_client\n\nclient = qdrant_client.QdrantClient(url="http:\/\/localhost:6333")\nvector_store = QdrantVectorStore(client=client, collection_name="knowledge_base")\nstorage_context = StorageContext.from_defaults(vector_store=vector_store)\n\nindex = VectorStoreIndex.from_documents(\n documents,\n storage_context=storage_context,\n embed_model=OpenAIEmbedding(model="text-embedding-3-small")\n)\n\n# \ucffc\ub9ac \ubcc0\ud615 + \uacb0\uacfc \ud569\uce58\uae30 \u2014 LangChain\uc5d0\uc120 \uc9c1\uc811 \uad6c\ud604\ud574\uc57c \ud588\ub358 \uac83\nretriever = QueryFusionRetriever(\n [index.as_retriever(similarity_top_k=5)],\n similarity_top_k=5,\n num_queries=4, # \uc6d0\ubcf8 \ucffc\ub9ac \ud3ec\ud568 4\uac1c \ubcc0\ud615 \uc0dd\uc131\n mode="reciprocal_rerank",\n use_async=True # \uc774\uac8c \ud575\uc2ec\uc774\uc5c8\ub2e4\n)\n\nquery_engine = RetrieverQueryEngine.from_args(retriever)\nresponse = query_engine.query("\uc6b0\ub9ac \ud300 \uc628\ubcf4\ub529 \ud504\ub85c\uc138\uc2a4\uac00 \uc5b4\ub5bb\uac8c \ub3fc?")\n<\/code><\/pre>\n\uc5ec\uae30\uc11c \uc9c4\uc9dc \ub180\ub780 \uac8c \uc788\uc5c8\ub2e4. use_async=True<\/code> \ud558\ub098 \ucf30\ub354\ub2c8 \uc751\ub2f5 \uc2dc\uac04\uc774 4.2\ucd08\uc5d0\uc11c 1.8\ucd08\ub85c \uc904\uc5c8\ub2e4. \ub098\ub294 \ub2f9\uc5f0\ud788 \uc784\ubca0\ub529 \ubaa8\ub378\uc774 \ubcd1\ubaa9\uc77c \uac70\ub77c\uace0 \uc0dd\uac01\ud588\ub294\ub370 \u2014 \uc54c\uace0 \ubcf4\ub2c8 retriever\uac00 \uc21c\ucc28\uc801\uc73c\ub85c \uc2e4\ud589\ub418\ub358 \uac8c \ubb38\uc81c\uc600\ub2e4. \ub2f9\uc5f0\ud788 \uc54c\uace0 \uc788\uc5b4\uc57c \ud560 \uac83\uc778\ub370, \uc774\uac78 \ucc98\uc74c \ubc1c\uacac\ud588\uc744 \ub54c “\ub0b4\uac00 \uc774\uac78 \uc65c \uc9c0\uae08 \uc54c\uc558\uc9c0”\ub77c\ub294 \uc0dd\uac01\uc774 \ub4e4\uc5c8\ub2e4. LangChain\uc5d0\uc11c\ub294 \uc774\uac8c \uae30\ubcf8\uac12\uc774 \uc544\ub2c8\uc5c8\uace0, \ub0b4\uac00 \ub531\ud788 \ucc3e\uc544\ubcf4\uc9c0\ub3c4 \uc54a\uc558\ub2e4.<\/p>\n\ub2e8\uc810\ub3c4 \uc788\ub2e4. LLM \ud1b5\ud569\uc774 LangChain\ubcf4\ub2e4 \uc587\uace0, \uc5d0\uc774\uc804\ud2b8 \uae30\ub2a5\uc774\ub098 \ubcf5\uc7a1\ud55c \uccb4\uc778\uc744 \uad6c\ud604\ud558\ub824\uba74 LangChain \uc0dd\ud0dc\uacc4\uac00 \ud6e8\uc52c \ub113\ub2e4. \ubb38\uc11c\uac00 \ube60\ub974\uac8c \uc5c5\ub370\uc774\ud2b8\ub418\ub294\ub370 \uc608\uc81c \ucf54\ub4dc\uac00 \ubc84\uc804\uc774\ub791 \uc548 \ub9de\ub294 \uacbd\uc6b0\ub3c4 \uc885\uc885 \uc788\ub2e4 \u2014 GitHub issue \ub4a4\uc9c0\ub294 \uc2dc\uac04\uc774 \uaf64 \uac78\ub838\ub2e4.<\/p>\n
\uac80\uc0c9 \ud488\uc9c8\uc774 \uc911\uc694\ud55c RAG\ub77c\uba74, \ud2b9\ud788 LLM \uc5f0\ub3d9 \ubcf5\uc7a1\ub3c4\uac00 \ub0ae\uc744 \ub54c, LlamaIndex\uac00 LangChain\ubcf4\ub2e4 \ub0ab\ub2e4\ub294 \uac8c \ub0b4 \uacb0\ub860\uc774\ub2e4.<\/p>\n
\nHaystack 2.9: \uac00\uc7a5 \ub35c \uc720\uba85\ud55c\ub370 \uac00\uc7a5 \ud504\ub85c\ub355\uc158 \uce5c\ud654\uc801\uc774\uc5c8\ub2e4<\/h2>\n
\uc194\uc9c1\ud788 Haystack\uc740 \uae30\ub300\ub97c \uc548 \ud558\uace0 \uc2dc\uc791\ud588\ub2e4. \uc138 \uac1c \uc911 \uac00\uc7a5 \ub35c \uc54c\ub824\uc9c4 \ud3b8\uc774\uace0, \ucee4\ubba4\ub2c8\ud2f0\ub3c4 \uc791\ub2e4. \uadfc\ub370 \uc368\ubcf4\uace0 \ub098\uc11c \uc774\uac8c \uc65c \ub35c \uc720\uba85\ud55c\uc9c0 \uc774\ud574\uac00 \uc548 \ub420 \uc815\ub3c4\uc600\ub2e4.<\/p>\n
\ub3c5\uc77c \uc2a4\ud0c0\ud2b8\uc5c5 deepset\uc774 \ub9cc\ub4e4\uc5c8\uace0, \uc5d4\ud130\ud504\ub77c\uc774\uc988 \uc6a9\ub3c4\ub97c \ucc98\uc74c\ubd80\ud130 \uc5fc\ub450\uc5d0 \ub450\uace0 \uc124\uacc4\ud588\ub2e4\ub294 \uac8c \ucf54\ub4dc\uc5d0\uc11c \ub290\uaef4\uc9c4\ub2e4. \uac00\uc7a5 \uc778\uc0c1\uc801\uc778 \uac74 \ud30c\uc774\ud504\ub77c\uc778 \uc9c1\ub82c\ud654\ub2e4. Python \ucf54\ub4dc \ub300\uc2e0 YAML\ub85c \ud30c\uc774\ud504\ub77c\uc778 \uc804\uccb4\ub97c \uc815\uc758\ud55c\ub2e4.<\/p>\n
components:\n - name: retriever\n type: haystack.components.retrievers.InMemoryEmbeddingRetriever\n init_parameters:\n top_k: 5\n - name: prompt_builder\n type: haystack.components.builders.PromptBuilder\n init_parameters:\n template: |\n Context: {% for doc in documents %}{{ doc.content }}{% endfor %}\n Question: {{ query }}\n Answer:\n - name: llm\n type: haystack.components.generators.OpenAIGenerator\n init_parameters:\n model: gpt-4o-mini\nconnections:\n - sender: retriever.documents\n receiver: prompt_builder.documents\n - sender: prompt_builder.prompt\n receiver: llm.prompt\n<\/code><\/pre>\n\uc774\uac8c \ubcc4 \uac83 \uc544\ub2cc \uac83\ucc98\ub7fc \ubcf4\uc774\ub294\ub370, CI\/CD\uc5d0 \ud30c\uc774\ud504\ub77c\uc778 \ubcc0\uacbd \uc774\ub825\uc744 \ub0a8\uae38 \uc218 \uc788\ub2e4\ub294 \uac8c \uc2e4\uc81c\ub85c \uc5c4\uccad \uc2e4\uc6a9\uc801\uc774\ub2e4. LangChain\uc774\ub098 LlamaIndex\ub294 \ud30c\uc774\ud504\ub77c\uc778\uc774 Python \ucf54\ub4dc \uc790\uccb4\ub77c\uc11c \uc124\uc815\uac12\uc774\ub791 \ub85c\uc9c1\uc774 \uc11e\uc778\ub2e4. “\uc9c0\ub09c\ub2ec\uc5d0 \uc65c \uc774 \ud504\ub86c\ud504\ud2b8\ub97c \ubc14\uafe8\uc9c0?”\ub97c git blame\uc73c\ub85c \ucd94\uc801\ud560 \uc218 \uc788\ub2e4\ub294 \uac8c \u2014 \uc791\uc740 \uac83 \uac19\uc9c0\ub9cc 6\uac1c\uc6d4 \ub4a4\uc5d0 \uc9c4\uc9dc \uace0\ub9d9\ub2e4.<\/p>\n
\uc5d0\ub7ec \ucc98\ub9ac\ub3c4 \uba85\uc2dc\uc801\uc774\ub2e4. \ucef4\ud3ec\ub10c\ud2b8\ub9c8\ub2e4 \uc785\ucd9c\ub825 \ud0c0\uc785\uc774 \uba85\ud655\ud788 \uc815\uc758\ub3fc \uc788\uc5b4\uc11c, \ud0c0\uc785\uc774 \uc548 \ub9de\uc73c\uba74 \ub7f0\ud0c0\uc784\uc774 \uc544\ub2c8\ub77c \ud30c\uc774\ud504\ub77c\uc778 \ube4c\ub4dc \uc2dc\uc810\uc5d0 \uc7a1\ud78c\ub2e4. \uc774\uac8c \ubcc4\uac70 \uc544\ub2cc \uac83 \uac19\uc544\ub3c4, \uc0c8\ubcbd 2\uc2dc\uc5d0 \ud504\ub85c\ub355\uc158 \uc7a5\uc560 \ub300\uc751\ud560 \ub54c\ub294 \uad49\uc7a5\ud788 \uc18c\uc911\ud558\ub2e4.<\/p>\n
\ubaa8\ub2c8\ud130\ub9c1 \ud1b5\ud569\ub3c4 \uc798 \ub3fc \uc788\ub2e4. Prometheus \uba54\ud2b8\ub9ad\uc774 \uae30\ubcf8\uc73c\ub85c \ub178\ucd9c\ub418\uace0, OpenTelemetry \uc9c0\uc6d0\ub3c4 \uc788\uc5b4\uc11c \uae30\uc874 \ubaa8\ub2c8\ud130\ub9c1 \uc2a4\ud0dd\uc5d0 \ub07c\uc6cc \ub123\uae30\uac00 \ud3b8\ud558\ub2e4. LangChain\uc5d0\uc11c \uc774\uac78 \uad6c\ud604\ud558\ub824\uba74 \uc9c1\uc811 \ubbf8\ub4e4\uc6e8\uc5b4\ub97c \uc9dc\uc57c \ud588\ub2e4.<\/p>\n
\uc544\uc26c\uc6b4 \uc810\uc740 \ub7ec\ub2dd \ucee4\ube0c\ub2e4. \ucef4\ud3ec\ub10c\ud2b8 \uae30\ubc18 \uc124\uacc4\uac00 \uc775\uc219\ud574\uc9c0\uba74 \uac15\ub825\ud55c\ub370, \ucc98\uc74c\uc5d0 “\uc774\uac78 \uc65c \uc774\ub807\uac8c \uc368\uc57c \ud558\uc9c0?”\ub77c\ub294 \uc0dd\uac01\uc774 \uc5ec\ub7ec \ubc88 \ub4e4\uc5c8\ub2e4. \ucee4\ubba4\ub2c8\ud2f0\ub3c4 LangChain\uc5d0 \ube44\ud558\uba74 \uc791\uc544\uc11c Stack Overflow\uc5d0 \ubb3c\uc5b4\ubcfc \uc218\uac00 \uc5c6\uace0, \uacf5\uc2dd Discord\uc5d0 \uac00\uc57c \ud55c\ub2e4. \uac70\uae30 \uc0ac\ub78c\ub4e4\uc740 \uce5c\uc808\ud55c\ub370 \uc751\ub2f5\uc774 \ud56d\uc0c1 \ube60\ub974\uc9c4 \uc54a\ub2e4. Confluence \uac19\uc740 \ud2b9\uc815 \uc18c\uc2a4\uc5d0 \ub300\ud55c \ucee4\ubba4\ub2c8\ud2f0 \uc778\ud14c\uadf8\ub808\uc774\uc158\ub3c4 LangChain\ubcf4\ub2e4 \uc801\ub2e4 \u2014 \ub0b4 \uacbd\uc6b0\uc5d4 \uc9c1\uc811 \ucee4\uc2a4\ud140 \ucef4\ud3ec\ub10c\ud2b8\ub97c \ub9cc\ub4e4\uc5c8\ub294\ub370, \uc2dc\uac04\uc774 \uac78\ub838\ub2e4.<\/p>\n
\ud300 \uaddc\ubaa8\uac00 \ud06c\uac70\ub098 \uc7a5\uae30 \uc6b4\uc601\uc774 \uc911\uc694\ud558\ub2e4\uba74, \uc774 \ucd08\uae30 \ub7ec\ub2dd \ucee4\ube0c\ub294 \ucda9\ubd84\ud788 \uac10\uc218\ud560 \ub9cc\ud558\ub2e4.<\/p>\n
\n\uc2e4\uc81c\ub85c \uc7ac\ubd24\uc744 \ub54c \ub098\uc628 \uc22b\uc790\ub4e4<\/h2>\n
2\uc8fc \ud14c\uc2a4\ud2b8\uc5d0\uc11c \ub098\uc628 \uc218\uce58\ub4e4\uc774\ub2e4. \ud658\uacbd\uc740 Qdrant \ub85c\uceec, OpenAI text-embedding-3-small<\/code>, LLM\uc740 gpt-4o-mini<\/code>, \ucffc\ub9ac 100\uac1c \uae30\uc900\uc774\ub2e4.<\/p>\n\n\n\n| <\/th>\n | LangChain 0.3.12<\/th>\n | LlamaIndex 0.11.4<\/th>\n | Haystack 2.9.0<\/th>\n<\/tr>\n<\/thead>\n |
\n\n| \ud3c9\uade0 \uc751\ub2f5\uc2dc\uac04<\/td>\n | 4.2\ucd08<\/td>\n | 1.8\ucd08<\/td>\n | 2.1\ucd08<\/td>\n<\/tr>\n |
\n| p95 \uc751\ub2f5\uc2dc\uac04<\/td>\n | 7.8\ucd08<\/td>\n | 3.2\ucd08<\/td>\n | 3.5\ucd08<\/td>\n<\/tr>\n |
\n| \uba54\ubaa8\ub9ac \ud53c\ud06c (100 req\/min)<\/td>\n | 2.4 GB<\/td>\n | 1.1 GB<\/td>\n | 0.9 GB<\/td>\n<\/tr>\n |
\n| \uccb4\uac10 \uac80\uc0c9 \uc815\ud655\ub3c4<\/td>\n | \uc911<\/td>\n | \uc0c1<\/td>\n | \uc0c1<\/td>\n<\/tr>\n |
\n| \ucd08\uae30 \uc138\ud305 \uc2dc\uac04<\/td>\n | 30\ubd84<\/td>\n | 1\uc2dc\uac04<\/td>\n | 3\uc2dc\uac04<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \uccb4\uac10 \uac80\uc0c9 \uc815\ud655\ub3c4\ub294 \ud300\uc6d0 3\uba85\uc774 \uc9c1\uc811 \ud3c9\uac00\ud55c \uac70\ub77c \uc644\uc804\ud788 \uac1d\uad00\uc801\uc774\uc9c4 \uc54a\ub2e4. \uadf8\ub9ac\uace0 \uc774 \uc218\uce58\uac00 \ubaa8\ub4e0 \ud658\uacbd\uc5d0\uc11c \uc7ac\ud604\ub41c\ub2e4\uace0 \ubcf4\uc7a5\ud560 \uc218 \uc5c6\ub2e4 \u2014 \ubb38\uc11c \ud2b9\uc131\uc774\ub098 \ucffc\ub9ac \ud328\ud134\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c8 \uc218 \uc788\ub2e4.<\/p>\n LangChain\uc758 \uc751\ub2f5\uc2dc\uac04\uacfc \uba54\ubaa8\ub9ac\uac00 \ud2b9\ud788 \ub098\ube74\ub358 \uac74 \ub0b4\uac00 LCEL\uc744 \uc81c\ub300\ub85c \ucd5c\uc801\ud654 \uc548 \ud588\uc744 \uc218\ub3c4 \uc788\ub2e4. \uacf5\uc815\ud558\uac8c \ube44\uad50\ud558\ub824\uace0 \uacf5\uc2dd \ubb38\uc11c \ub530\ub77c\ud588\ub294\ub370, \ucd5c\uc801\ud654 \uc5ec\uc9c0\uac00 \uc788\uc744 \uc218 \uc788\ub2e4\ub294 \uc810\uc740 \uc778\uc815\ud55c\ub2e4. \ub2e4\ub9cc “\uacf5\uc2dd \ubb38\uc11c \ub530\ub77c \ud588\uc744 \ub54c\uc758 \uae30\ubcf8 \uc131\ub2a5”\uc774\ub77c\ub294 \uae30\uc900 \uc790\uccb4\uac00 \uc758\ubbf8 \uc788\ub2e4\uace0 \uc0dd\uac01\ud55c\ub2e4.<\/p>\n
\n\ub0b4 \uc120\ud0dd\uacfc \uadf8 \uc774\uc720<\/h2>\n\uacb0\ub860\ubd80\ud130.<\/p>\n 5\ub9cc \uac1c \uc774\ud558 \ubb38\uc11c, \uc791\uc740 \ud300, \ube60\ub974\uac8c \ucd9c\uc2dc\ud574\uc57c \ud558\ub294 \uc0c1\ud669\uc774\uba74 LlamaIndex\ub97c \uc4f4\ub2e4.<\/strong> \uac80\uc0c9 \ud488\uc9c8\uc774 \uc88b\uace0, \ube44\ub3d9\uae30 \ucc98\ub9ac\uac00 \uc790\uc5f0\uc2a4\ub7fd\uace0, \ub7ec\ub2dd \ucee4\ube0c\uac00 \uc801\ub2f9\ud558\ub2e4. LangChain\ub9cc\ud07c \uc0dd\ud0dc\uacc4\uac00 \ub113\uc9c4 \uc54a\uc9c0\ub9cc, RAG\uc5d0 \ud544\uc694\ud55c \uac74 \uac70\uc758 \ub2e4 \uc788\ub2e4.<\/p>\n\ubb38\uc11c\uac00 \ub9ce\uace0, \ud300\uc774 \uc131\uc7a5 \uc911\uc774\uace0, 6\uac1c\uc6d4 \uc774\uc0c1 \uc6b4\uc601\uc744 \uc0dd\uac01\ud55c\ub2e4\uba74 Haystack\uc774\ub2e4.<\/strong> \ucd08\uae30\uc5d0 \uc2dc\uac04\uc774 \ub354 \ub4e4\uc9c0\ub9cc, \ud30c\uc774\ud504\ub77c\uc778 \ubc84\uc804 \uad00\ub9ac\uc640 \ubaa8\ub2c8\ud130\ub9c1 \ud1b5\ud569\uc774 \ub098\uc911\uc5d0 \ud655\uc2e4\ud788 \ubcf4\ub2f5\ud55c\ub2e4. \uc6b0\ub9ac \ud300\uc740 \uacb0\uad6d \uc774\ucabd\uc73c\ub85c \ub9c8\uc774\uadf8\ub808\uc774\uc158\ud588\ub2e4.<\/p>\nLangChain\uc740 \uc21c\uc218 RAG \ub2e8\ub3c5\uc73c\ub85c\ub294 \uc798 \uc548 \uc4f8 \uac83 \uac19\ub2e4.<\/strong> \uc5d0\uc774\uc804\ud2b8 \uad6c\ud604\uc774\ub098 LLM \uc870\ud569\uc774 \ubcf5\uc7a1\ud55c \uacbd\uc6b0\uc5d4 \uc544\uc9c1 LangChain\uc774 \uc0dd\ud0dc\uacc4 \uba74\uc5d0\uc11c \uc6b0\uc704\uac00 \uc788\ub2e4. \uadfc\ub370 \ubb38\uc11c \uac80\uc0c9 + \uc751\ub2f5 \uc0dd\uc131 \ud30c\uc774\ud504\ub77c\uc778\ub9cc \ubcf8\ub2e4\uba74, \ub2e4\ub978 \ub450 \uac1c \uc911 \ud558\ub098\uac00 \ub0ab\ub2e4.<\/p>\n\uae08\uc694\uc77c \uc624\ud6c4\uc5d0 Haystack\uc73c\ub85c \ub9c8\uc774\uadf8\ub808\uc774\uc158 \ubc30\ud3ec\ub97c \ud588\ub2e4\uac00 YAML \ud30c\uc774\ud504\ub77c\uc778 \uc124\uc815 \ud558\ub098\ub97c \uc798\ubabb \uc368\uc11c 30\ubd84 \ub3d9\uc548 \uc5d0\ub7ec\ub97c \ubd24\ub2e4. \ub355\ubd84\uc5d0 \uc8fc\ub9d0 \ub0b4\ub0b4 \ub9c8\uc74c \ud55c \uad6c\uc11d\uc774 \ubd88\ud3b8\ud588\ub294\ub370 \u2014 \uc5ed\uc124\uc801\uc73c\ub85c, \uadf8 \uc5d0\ub7ec\uac00 \uba85\ud655\ud558\uac8c \ub5a0 \uc788\uc5c8\ub358 \ub355\ubd84\uc5d0 \ube60\ub974\uac8c \uace0\uce60 \uc218 \uc788\uc5c8\ub2e4. LangChain\uc774\uc5c8\uc73c\uba74 \uc2a4\ud0dd\ud2b8\ub808\uc774\uc2a4 \ub4a4\uc9c0\ub294 \ub370 \ud6e8\uc52c \uc624\ub798 \uac78\ub838\uc744 \uac70\ub2e4.<\/p>\n \uc138 \uac1c\ub97c \ub2e4 \uc368\ubcf4\uace0 \ub098\uc11c \ub4dc\ub294 \uc0dd\uac01\uc740, \uc5b4\ub5a4 \ud504\ub808\uc784\uc6cc\ud06c\ub97c<\/a> \uc4f0\ub4e0 \uc784\ubca0\ub529 \ubaa8\ub378 \uc120\ud0dd\uc774\ub791 \uccad\ud0b9 \uc804\ub7b5\uc774 \ud504\ub808\uc784\uc6cc\ud06c \uc120\ud0dd\ubcf4\ub2e4 \uac80\uc0c9 \ud488\uc9c8\uc5d0 \ub354 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce5c\ub2e4\ub294 \uac70\ub2e4. \uc774\uac74 \ucc98\uc74c\uc5d0 \uc0dd\uac01 \ubabb \ud588\ub358 \ubd80\ubd84\uc778\ub370, \uc138 \uac1c\ub97c \ud14c\uc2a4\ud2b8\ud558\uba74\uc11c \uc624\ud788\ub824 \uc774\uac78 \ub354 \ub9ce\uc774 \ubc30\uc6e0\ub2e4. \ud504\ub808\uc784\uc6cc\ud06c \ube44\uad50\ub97c \ud558\ub7ec \uac14\ub2e4\uac00 \uc5c9\ub6b1\ud55c \uac78 \ubc30\uc6b4 \uc148\uc774\ub2e4.<\/p>\n<\/p>\n","protected":false},"excerpt":{"rendered":" LangChain 0.3, LlamaIndex 0.11, Haystack 2.9\ub97c 2\uc8fc\uac04 \uc9c1\uc811 \ud14c\uc2a4\ud2b8. 5\ub9cc \uac1c \ubb38\uc11c RAG \ud30c\uc774\ud504\ub77c\uc778\uc5d0\uc11c \uc18d\ub3c4\uc640 \uac80\uc0c9 \ud488\uc9c8\uc744 \uc9c1\uc811 \uc7ac\ubd24\uace0, \ud504\ub85c\ub355\uc158\uc5d0\uc11c \uc2e4\uc81c\ub85c \uacaa\uc740 \ubb38\uc81c\ub4e4\uc744 \uc815\ub9ac\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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