{"id":372,"date":"2023-09-11T00:48:51","date_gmt":"2023-09-11T08:48:51","guid":{"rendered":"https:\/\/karasu.tech\/?p=372"},"modified":"2025-02-02T07:30:43","modified_gmt":"2025-02-02T15:30:43","slug":"lanchain%e6%a1%86%e6%9e%b6%e7%9a%84%e5%88%9d%e8%af%86%ef%bc%8c%e4%b8%8edify%e6%9c%89%e4%bd%95%e4%b8%8d%e5%90%8c%ef%bc%8c%e5%8f%8arag%e9%80%89%e6%8b%a9%e3%80%82","status":"publish","type":"post","link":"https:\/\/karasu.tech\/?p=372","title":{"rendered":"Lanchain\u6846\u67b6\u7684\u521d\u8bc6\uff0c\u4e0edify\u6709\u4f55\u4e0d\u540c\uff0c\u53caRAG\u9009\u62e9\u3002"},"content":{"rendered":"

\u5148\u8bf4\u7ed3\u8bba\uff0c\u4e24\u8005\u5e76\u975e\u76f4\u63a5\u7ade\u4e89\uff0c\u800c\u662f\u4e92\u8865\u5de5\u5177\u3002\u4f8b\u5982\uff0c\u53ef\u7528Lanchain\u5f00\u53d1\u6838\u5fc3\u7b97\u6cd5\uff0c\u518d\u901a\u8fc7Dify\u5c01\u88c5\u4e3a\u6613\u7528\u7684\u4f01\u4e1a\u5e94\u7528\u3002<\/em><\/strong><\/p>\n

\n

\u4e00\u3001LangChain\uff1a\u6784\u5efa\u590d\u6742AI\u5e94\u7528\u7684\u201c\u4e50\u9ad8\u79ef\u6728\u201d<\/strong><\/h3>\n

1. \u662f\u4ec0\u4e48\uff1f<\/strong><\/h4>\n
    \n
  • \u5b9a\u4e49<\/strong>\uff1a\u4e00\u4e2a\u5f00\u6e90\u7684 \u5f00\u53d1\u6846\u67b6<\/strong>\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u7528\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6784\u5efa\u7075\u6d3b\u3001\u53ef\u5b9a\u5236\u7684\u5e94\u7528\uff08\u5982\u804a\u5929\u673a\u5668\u4eba\u3001\u6570\u636e\u5206\u6790\u5de5\u5177\u7b49\uff09\u3002<\/li>\n
  • \u6838\u5fc3\u601d\u60f3<\/strong>\uff1a\u5c06AI\u5e94\u7528\u7684\u5f00\u53d1\u62c6\u89e3\u4e3a\u6a21\u5757\u5316\u7ec4\u4ef6\uff0c\u50cf\u62fc\u4e50\u9ad8\u4e00\u6837\u81ea\u7531\u7ec4\u5408\u3002<\/li>\n<\/ul>\n

    2. \u6838\u5fc3\u529f\u80fd\u6a21\u5757<\/strong><\/h4>\n\n\n\n\n\n\n\n\n
    \u6a21\u5757<\/strong><\/th>\n\u4f5c\u7528<\/strong><\/th>\n\u793a\u4f8b<\/strong><\/th>\n<\/tr>\n<\/thead>\n
    Chains\uff08\u94fe\uff09<\/strong><\/td>\n\u5c06\u591a\u4e2a\u6b65\u9aa4\u4e32\u8054\u6210\u5de5\u4f5c\u6d41\uff08\u5982\u201c\u8c03\u7528\u6a21\u578b\u2192\u5904\u7406\u7ed3\u679c\u2192\u8c03\u7528API\u201d\uff09\u3002<\/td>\n\u7528GPT\u751f\u6210\u6587\u6848\uff0c\u518d\u7528\u53e6\u4e00\u4e2a\u6a21\u578b\u5ba1\u6838\u5185\u5bb9\u3002<\/td>\n<\/tr>\n
    Agents\uff08\u4ee3\u7406\uff09<\/strong><\/td>\n\u8ba9AI\u81ea\u4e3b\u51b3\u7b56\uff08\u52a8\u6001\u9009\u62e9\u8c03\u7528\u54ea\u4e9b\u5de5\u5177\u6216\u6a21\u578b\uff09\u3002<\/td>\n\u6839\u636e\u7528\u6237\u95ee\u9898\uff0c\u81ea\u52a8\u9009\u62e9\u67e5\u6570\u636e\u5e93\u6216\u8c03\u7528\u5929\u6c14API\u3002<\/td>\n<\/tr>\n
    Memory\uff08\u8bb0\u5fc6\uff09<\/strong><\/td>\n\u7ba1\u7406\u5bf9\u8bdd\u6216\u4efb\u52a1\u7684\u4e0a\u4e0b\u6587\u8bb0\u5fc6\uff08\u77ed\u671f\/\u957f\u671f\uff09\u3002<\/td>\n\u8ba9\u804a\u5929\u673a\u5668\u4eba\u8bb0\u4f4f\u7528\u6237\u4e4b\u524d\u7684\u5bf9\u8bdd\u3002<\/td>\n<\/tr>\n
    Tools\uff08\u5de5\u5177\uff09<\/strong><\/td>\n\u96c6\u6210\u5916\u90e8\u529f\u80fd\uff08\u5982\u641c\u7d22\u5f15\u64ce\u3001\u6570\u636e\u5e93\u3001\u8ba1\u7b97\u5668\uff09\u3002<\/td>\n\u7528Google\u641c\u7d22\u5b9e\u65f6\u4fe1\u606f\u8865\u5145\u6a21\u578b\u56de\u7b54\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    3. \u5178\u578b\u5e94\u7528\u573a\u666f<\/strong><\/h4>\n
      \n
    • \u590d\u6742\u903b\u8f91\u5904\u7406<\/strong>\uff1a\u9700\u8981\u591a\u6a21\u578b\u534f\u4f5c\u6216\u52a8\u6001\u51b3\u7b56\u7684\u4efb\u52a1\uff08\u5982\u667a\u80fd\u5ba2\u670d\u3001\u79d1\u7814\u52a9\u624b\uff09\u3002<\/li>\n
    • \u9ad8\u5ea6\u5b9a\u5236\u5316<\/strong>\uff1a\u5f00\u53d1\u56e2\u961f\u9700\u8981\u5b8c\u5168\u63a7\u5236\u4ee3\u7801\u903b\u8f91\u548c\u6570\u636e\u6d41\u7a0b\u3002<\/li>\n
    • \u5b9e\u9a8c\u6027\u9879\u76ee<\/strong>\uff1a\u5feb\u901f\u9a8c\u8bc1AI\u4e0e\u5176\u4ed6\u7cfb\u7edf\uff08\u5982\u6570\u636e\u5e93\u3001API\uff09\u7684\u4ea4\u4e92\u8bbe\u8ba1\u3002<\/li>\n<\/ul>\n

      4. \u4f18\u70b9 vs \u7f3a\u70b9<\/strong><\/h4>\n\n\n\n\n\n\n\n
      \u4f18\u70b9<\/strong><\/th>\n\u7f3a\u70b9<\/strong><\/th>\n<\/tr>\n<\/thead>\n
      \u7075\u6d3b\uff0c\u9002\u5408\u590d\u6742\u9700\u6c42<\/td>\n\u5b66\u4e60\u95e8\u69db\u9ad8\uff08\u9700\u7f16\u7a0b\u57fa\u7840\uff09<\/td>\n<\/tr>\n
      \u793e\u533a\u6d3b\u8dc3\uff0c\u751f\u6001\u4e30\u5bcc<\/td>\n\u9700\u81ea\u884c\u5904\u7406\u90e8\u7f72\u548c\u8fd0\u7ef4<\/td>\n<\/tr>\n
      \u652f\u6301\u591a\u79cd\u6a21\u578b\uff08\u5f00\u6e90+\u95ed\u6e90\uff09<\/td>\n\u5f00\u53d1\u5468\u671f\u957f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      \u4e8c\u3001Dify\uff1a\u5feb\u901f\u642d\u5efaAI\u5e94\u7528\u7684\u201c\u53ef\u89c6\u5316\u5de5\u5382\u201d<\/strong><\/h3>\n

      1. \u662f\u4ec0\u4e48\uff1f<\/strong><\/h4>\n
        \n
      • \u5b9a\u4e49<\/strong>\uff1a\u4e00\u4e2a \u4f4e\u4ee3\u7801\/\u65e0\u4ee3\u7801\u5e73\u53f0<\/strong>\uff0c\u901a\u8fc7\u56fe\u5f62\u5316\u754c\u9762\u8ba9\u975e\u6280\u672f\u4eba\u5458\u5feb\u901f\u6784\u5efaAI\u5e94\u7528\uff08\u5982\u95ee\u7b54\u7cfb\u7edf\u3001\u5185\u5bb9\u751f\u6210\u5de5\u5177\uff09\u3002<\/li>\n
      • \u6838\u5fc3\u601d\u60f3<\/strong>\uff1a\u964d\u4f4eAI\u5e94\u7528\u5f00\u53d1\u95e8\u69db\uff0c\u50cf\u642d\u79ef\u6728\u4e00\u6837\u901a\u8fc7\u914d\u7f6e\u800c\u975e\u4ee3\u7801\u5b9e\u73b0\u529f\u80fd\u3002<\/li>\n<\/ul>\n

        2. \u6838\u5fc3\u529f\u80fd\u6a21\u5757<\/strong><\/h4>\n\n\n\n\n\n\n\n\n
        \u6a21\u5757<\/strong><\/th>\n\u4f5c\u7528<\/strong><\/th>\n\u793a\u4f8b<\/strong><\/th>\n<\/tr>\n<\/thead>\n
        \u53ef\u89c6\u5316\u6d41\u7a0b\u7f16\u6392<\/strong><\/td>\n\u62d6\u62fd\u5f0f\u8bbe\u8ba1AI\u5de5\u4f5c\u6d41\uff08\u5982\u201c\u7528\u6237\u8f93\u5165\u2192\u6a21\u578b\u5904\u7406\u2192\u8fd4\u56de\u7ed3\u679c\u201d\uff09\u3002<\/td>\n\u914d\u7f6e\u4e00\u4e2a\u81ea\u52a8\u56de\u590d\u7528\u6237\u95ee\u9898\u7684\u77e5\u8bc6\u5e93\u673a\u5668\u4eba\u3002<\/td>\n<\/tr>\n
        \u6570\u636e\u7ba1\u7406<\/strong><\/td>\n\u4e0a\u4f20\u548c\u7ba1\u7406\u77e5\u8bc6\u5e93\u6587\u6863\uff08PDF\/CSV\u7b49\uff09\uff0c\u8bad\u7ec3\u6a21\u578b\u9002\u5e94\u7279\u5b9a\u573a\u666f\u3002<\/td>\n\u4e0a\u4f20\u516c\u53f8\u4ea7\u54c1\u624b\u518c\uff0c\u8ba9AI\u56de\u7b54\u5ba2\u6237\u54a8\u8be2\u3002<\/td>\n<\/tr>\n
        \u6a21\u578b\u7ba1\u7406<\/strong><\/td>\n\u4e00\u952e\u5207\u6362\u4e0d\u540c\u6a21\u578b\uff08\u5982GPT-4\u3001Claude\uff09\uff0c\u65e0\u9700\u4fee\u6539\u4ee3\u7801\u3002<\/td>\n\u6d4b\u8bd5\u4e0d\u540c\u6a21\u578b\u751f\u6210\u6587\u6848\u7684\u6548\u679c\u5dee\u5f02\u3002<\/td>\n<\/tr>\n
        \u90e8\u7f72\u4e0e\u76d1\u63a7<\/strong><\/td>\n\u4e00\u952e\u53d1\u5e03\u5e94\u7528\uff0c\u63d0\u4f9b\u8bbf\u95ee\u94fe\u63a5\uff0c\u5e76\u76d1\u63a7\u4f7f\u7528\u60c5\u51b5\uff08\u5982\u8bf7\u6c42\u91cf\u3001\u54cd\u5e94\u65f6\u95f4\uff09\u3002<\/td>\n\u5c06\u5ba2\u670d\u673a\u5668\u4eba\u90e8\u7f72\u5230\u4f01\u4e1a\u5b98\u7f51\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        3. \u5178\u578b\u5e94\u7528\u573a\u666f<\/strong><\/h4>\n
          \n
        • \u6807\u51c6\u5316\u9700\u6c42<\/strong>\uff1a\u4f01\u4e1a\u77e5\u8bc6\u5e93\u95ee\u7b54\u3001\u8425\u9500\u6587\u6848\u751f\u6210\u3001\u5ba2\u670d\u52a9\u624b\u7b49\u3002<\/li>\n
        • \u5feb\u901f\u9a8c\u8bc1\u60f3\u6cd5<\/strong>\uff1a\u521d\u521b\u56e2\u961f\u4f4e\u6210\u672c\u6d4b\u8bd5AI\u4ea7\u54c1\u53ef\u884c\u6027\u3002<\/li>\n
        • \u975e\u6280\u672f\u56e2\u961f<\/strong>\uff1a\u5e02\u573a\u3001\u8fd0\u8425\u4eba\u5458\u76f4\u63a5\u914d\u7f6eAI\u5de5\u5177\uff0c\u65e0\u9700\u4f9d\u8d56\u5f00\u53d1\u3002<\/li>\n<\/ul>\n

          4. \u4f18\u70b9 vs \u7f3a\u70b9<\/strong><\/h4>\n\n\n\n\n\n\n\n
          \u4f18\u70b9<\/strong><\/th>\n\u7f3a\u70b9<\/strong><\/th>\n<\/tr>\n<\/thead>\n
          \u65e0\u9700\u7f16\u7a0b\uff0c\u4e0a\u624b\u5feb<\/td>\n\u81ea\u5b9a\u4e49\u80fd\u529b\u6709\u9650<\/td>\n<\/tr>\n
          \u5f00\u7bb1\u5373\u7528\uff0c\u8282\u7701\u90e8\u7f72\u65f6\u95f4<\/td>\n\u4f9d\u8d56\u5e73\u53f0\u9884\u7f6e\u529f\u80fd<\/td>\n<\/tr>\n
          \u4f01\u4e1a\u7ea7\u529f\u80fd\uff08\u6743\u9650\/\u76d1\u63a7\uff09<\/td>\n\u590d\u6742\u903b\u8f91\u96be\u4ee5\u5b9e\u73b0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
          \n

          \u4e09. \u751f\u6001\u4e0e\u6269\u5c55\u6027<\/strong><\/h3>\n

          Lanchain<\/strong><\/p>\n

            \n
          • \u793e\u533a\u751f\u6001\uff1a\u6d3b\u8dc3\u7684\u5f00\u6e90\u793e\u533a\uff0c\u4e30\u5bcc\u7684\u7b2c\u4e09\u65b9\u63d2\u4ef6\uff08\u5982LangFlow\u53ef\u89c6\u5316\u5de5\u5177\uff09\u3002<\/p>\n<\/li>\n
          • \n

            \u6269\u5c55\u6027\uff1a\u53ef\u901a\u8fc7\u4ee3\u7801\u96c6\u6210\u4efb\u4f55API\u3001\u6570\u636e\u5e93\u6216\u81ea\u5b9a\u4e49\u6a21\u578b\u3002<\/p>\n<\/li>\n<\/ul>\n

            Dify<\/strong><\/p>\n

              \n
            • \u751f\u6001\uff1a\u5b98\u65b9\u63d0\u4f9b\u6807\u51c6\u5316\u63d2\u4ef6\u548c\u6a21\u677f\uff0c\u793e\u533a\u8d21\u732e\u8f83\u5c11\u3002<\/p>\n<\/li>\n
            • \n

              \u6269\u5c55\u6027\uff1a\u4f9d\u8d56\u5e73\u53f0\u652f\u6301\u7684\u529f\u80fd\uff0c\u81ea\u5b9a\u4e49\u6269\u5c55\u6709\u9650\u3002<\/p>\n<\/li>\n<\/ul>\n

              \u4ee5\u4e0b\u662f\u53ef\u63a5\u5165 LangChain \u7684\u5e38\u89c1 RAG\uff08\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff09\u5de5\u5177<\/strong>\u53ca\u5176\u96c6\u6210\u65b9\u5f0f\uff0c\u6db5\u76d6\u5f00\u6e90\u5e93\u3001\u4e91\u670d\u52a1\u4e0e\u672c\u5730\u89e3\u51b3\u65b9\u6848\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u5de5\u5177\uff0c\u53ef\u5feb\u901f\u6784\u5efa\u57fa\u4e8e\u77e5\u8bc6\u5e93\u7684\u95ee\u7b54\u3001\u6587\u6863\u5206\u6790\u7b49\u5e94\u7528\u3002<\/p>\n

              \n

              \u56db\u3001LangChain \u5185\u7f6e RAG \u6a21\u5757<\/strong><\/h3>\n

              LangChain \u539f\u751f\u652f\u6301\u591a\u79cd RAG \u6838\u5fc3\u7ec4\u4ef6\uff0c\u65e0\u9700\u989d\u5916\u5b89\u88c5\uff0c\u76f4\u63a5\u8c03\u7528 API \u5373\u53ef\u4f7f\u7528\u3002<\/p>\n

              1. \u6587\u672c\u68c0\u7d22\u5668\uff08Retrievers\uff09<\/strong><\/h4>\n\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u96c6\u6210\u4ee3\u7801\u793a\u4f8b\uff08Python\uff09<\/th>\n<\/tr>\n<\/thead>\n
              TF-IDF<\/strong><\/td>\n\u57fa\u4e8e\u8bcd\u9891\u7684\u7ecf\u5178\u68c0\u7d22\u7b97\u6cd5\uff0c\u9002\u5408\u5c0f\u89c4\u6a21\u6570\u636e<\/td>\nfrom langchain.retrievers import TFIDFRetriever<\/code><\/td>\n<\/tr>\n
              BM25<\/strong><\/td>\n\u6539\u8fdb\u7248\u8bcd\u9891\u68c0\u7d22\uff0c\u652f\u6301\u66f4\u7cbe\u51c6\u7684\u6587\u672c\u5339\u914d<\/td>\nfrom langchain.retrievers import BM25Retriever<\/code><\/td>\n<\/tr>\n
              Ensemble<\/strong><\/td>\n\u591a\u68c0\u7d22\u5668\u7ed3\u679c\u878d\u5408\uff08\u5982TF-IDF + \u5411\u91cf\u68c0\u7d22\uff09<\/td>\nfrom langchain.retrievers import EnsembleRetriever<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              2. \u5411\u91cf\u6570\u636e\u5e93\uff08Vector Stores\uff09<\/strong><\/h4>\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u96c6\u6210\u4ee3\u7801\u793a\u4f8b<\/th>\n<\/tr>\n<\/thead>\n
              FAISS<\/strong><\/td>\nFacebook \u5f00\u6e90\u7684\u5411\u91cf\u7d22\u5f15\u5e93\uff0c\u9002\u5408\u672c\u5730\u5feb\u901f\u68c0\u7d22<\/td>\n\n“`python
              from langchain.vectorstores import FAISS
              db = FAISS.from_texts(texts, embeddings)“`\n<\/td>\n<\/tr>\n
              Chroma<\/strong><\/td>\n\u8f7b\u91cf\u7ea7\u5f00\u6e90\u5411\u91cf\u6570\u636e\u5e93\uff0c\u652f\u6301\u6301\u4e45\u5316\u5b58\u50a8<\/td>\n\n“`python
              from langchain.vectorstores import Chroma
              db = Chroma.from_documents(docs, embeddings)“`\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \n

              \u4e94\u3001\u7b2c\u4e09\u65b9 RAG \u5de5\u5177\u4e0e\u6846\u67b6<\/strong><\/h3>\n

              1. \u5f00\u6e90\u5de5\u5177\u5e93<\/strong><\/h4>\n\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u96c6\u6210\u65b9\u5f0f<\/th>\n\u793a\u4f8b\u573a\u666f<\/th>\n<\/tr>\n<\/thead>\n
              LlamaIndex<\/strong><\/td>\n\u4e13\u4e3a LLM \u4f18\u5316\u7684\u6570\u636e\u7d22\u5f15\u6846\u67b6\uff0c\u652f\u6301\u590d\u6742\u68c0\u7d22\u903b\u8f91<\/td>\n\u901a\u8fc7 LlamaIndexRetriever<\/code> \u5305\u88c5\u5668\u63a5\u5165<\/td>\n\u591a\u6587\u6863\u77e5\u8bc6\u5e93\u95ee\u7b54\u3001\u7ed3\u6784\u5316\u6570\u636e\u67e5\u8be2<\/td>\n<\/tr>\n
              Haystack<\/strong><\/td>\n\u6a21\u5757\u5316 NLP \u6846\u67b6\uff0c\u63d0\u4f9b RAG \u5168\u6d41\u7a0b\u652f\u6301<\/td>\n\u4f7f\u7528 HaystackRetriever<\/code> \u6865\u63a5<\/td>\n\u4f01\u4e1a\u7ea7\u6587\u6863\u5206\u6790\u3001\u81ea\u52a8\u5316\u62a5\u544a\u751f\u6210<\/td>\n<\/tr>\n
              Jina<\/strong><\/td>\n\u5206\u5e03\u5f0f\u795e\u7ecf\u641c\u7d22\u6846\u67b6\uff0c\u652f\u6301\u591a\u6a21\u6001\u68c0\u7d22<\/td>\n\u901a\u8fc7 JinaRetriever<\/code> \u81ea\u5b9a\u4e49\u63a5\u5165<\/td>\n\u8de8\u6a21\u6001\u68c0\u7d22\uff08\u6587\u672c+\u56fe\u50cf\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u4ee3\u7801\u793a\u4f8b\uff08LlamaIndex \u63a5\u5165 LangChain\uff09\uff1a<\/strong><\/p>\n

              from llama_index import VectorStoreIndex\nfrom langchain.retrievers import LlamaIndexRetriever\n\n# 1. \u7528 LlamaIndex \u6784\u5efa\u7d22\u5f15\nindex = VectorStoreIndex.from_documents(documents)\nretriever = index.as_retriever()\n\n# 2. \u8f6c\u6362\u4e3a LangChain \u7684\u68c0\u7d22\u5668\nlangchain_retriever = LlamaIndexRetriever(llama_index_retriever=retriever)\n<\/code><\/pre>\n
              2. \u4e91\u670d\u52a1\u5e73\u53f0<\/strong><\/h4>\n\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u96c6\u6210\u65b9\u5f0f<\/th>\n\u9002\u7528\u573a\u666f<\/th>\n<\/tr>\n<\/thead>\n
              Pinecone<\/strong><\/td>\n\u5168\u6258\u7ba1\u7684\u5411\u91cf\u6570\u636e\u5e93\uff0c\u652f\u6301\u9ad8\u5e76\u53d1\u5927\u89c4\u6a21\u68c0\u7d22<\/td>\nfrom langchain.vectorstores import Pinecone<\/code><\/td>\n\u751f\u4ea7\u73af\u5883\u7684\u9ad8\u6027\u80fd\u68c0\u7d22\u9700\u6c42<\/td>\n<\/tr>\n
              Azure AI Search<\/strong><\/td>\n\u5fae\u8f6f\u4e91\u7684\u4f01\u4e1a\u7ea7\u641c\u7d22\u670d\u52a1\uff0c\u96c6\u6210\u8bed\u4e49\u68c0\u7d22<\/td>\nfrom langchain.vectorstores import AzureSearch<\/code><\/td>\n\u9700\u8981\u4e0e Azure \u751f\u6001\u96c6\u6210\u7684\u9879\u76ee<\/td>\n<\/tr>\n
              Google Vertex AI<\/strong><\/td>\nGoogle \u4e91\u7684 AI \u5e73\u53f0\uff0c\u63d0\u4f9b\u7aef\u5230\u7aef RAG \u6d41\u6c34\u7ebf<\/td>\n\u901a\u8fc7\u81ea\u5b9a\u4e49 Tool \u6216 Chain \u63a5\u5165<\/td>\n\u7ed3\u5408 BigQuery \u7b49\u4e91\u670d\u52a1\u7684\u590d\u6742\u573a\u666f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \u4ee3\u7801\u793a\u4f8b\uff08Pinecone \u63a5\u5165 LangChain\uff09\uff1a<\/strong><\/p>\n
              import pinecone\nfrom langchain.vectorstores import Pinecone\n\n# \u521d\u59cb\u5316 Pinecone\npinecone.init(api_key=\"YOUR_KEY\", environment=\"YOUR_ENV\")\nindex = pinecone.Index(\"my-index\")\n\n# \u521b\u5efa LangChain \u5411\u91cf\u5e93\nvector_store = Pinecone(index, embeddings, \"text\")\nretriever = vector_store.as_retriever()\n<\/code><\/pre>\n
              \n
              \u516d\u3001\u672c\u5730\u4e0e\u8f7b\u91cf\u5316\u65b9\u6848<\/strong><\/h3>\n
              1. \u672c\u5730\u6570\u636e\u5e93<\/strong><\/h4>\n\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u7279\u70b9<\/th>\n<\/tr>\n<\/thead>\n
              SQLite<\/strong><\/td>\n\u8f7b\u91cf\u7ea7\u5173\u7cfb\u6570\u636e\u5e93\uff0c\u53ef\u901a\u8fc7 SQL \u5b9e\u73b0\u68c0\u7d22<\/td>\n\u9002\u5408\u7ed3\u6784\u5316\u6570\u636e+\u7b80\u5355\u6587\u672c\u68c0\u7d22<\/td>\n<\/tr>\n
              Qdrant<\/strong><\/td>\n\u5f00\u6e90\u5411\u91cf\u6570\u636e\u5e93\uff0c\u652f\u6301\u5206\u5e03\u5f0f\u90e8\u7f72<\/td>\n\u9ad8\u6027\u80fd\uff0c\u517c\u5bb9 REST \u548c gRPC \u63a5\u53e3<\/td>\n<\/tr>\n
              Milvus<\/strong><\/td>\n\u5f00\u6e90\u5411\u91cf\u6570\u636e\u5e93\uff0c\u4e13\u4e3a\u6d77\u91cf\u6570\u636e\u8bbe\u8ba1<\/td>\n\u652f\u6301\u5206\u5e03\u5f0f\u6269\u5c55\u3001\u591a\u6570\u636e\u7c7b\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \u4ee3\u7801\u793a\u4f8b\uff08Qdrant \u63a5\u5165 LangChain\uff09\uff1a<\/strong><\/p>\n
              from langchain.vectorstores import Qdrant\nfrom qdrant_client import QdrantClient\n\nclient = QdrantClient(host=\"localhost\", port=6333)\nvector_store = Qdrant(client, \"my_collection\", embeddings)\nretriever = vector_store.as_retriever()\n<\/code><\/pre>\n
              2. \u8f7b\u91cf\u7ea7\u68c0\u7d22\u5de5\u5177<\/strong><\/h4>\n\n\n\n\n\n\n
              \u5de5\u5177<\/strong><\/th>\n\u7b80\u4ecb<\/th>\n\u9002\u7528\u573a\u666f<\/th>\n<\/tr>\n<\/thead>\n
              Whoosh<\/strong><\/td>\n\u7eaf Python \u5b9e\u73b0\u7684\u5168\u6587\u641c\u7d22\u5f15\u64ce<\/td>\n\u5feb\u901f\u539f\u578b\u5f00\u53d1\u3001\u5c0f\u89c4\u6a21\u6587\u672c\u68c0\u7d22<\/td>\n<\/tr>\n
              Annoy<\/strong><\/td>\nSpotify \u5f00\u6e90\u7684\u8fd1\u4f3c\u6700\u8fd1\u90bb\u641c\u7d22\u5e93<\/td>\n\u9ad8\u7ef4\u5411\u91cf\u5feb\u901f\u68c0\u7d22\uff08\u5185\u5b58\u5360\u7528\u4f4e\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \n
              \u4e03\u3001\u9009\u62e9\u5efa\u8bae<\/strong><\/h3>\n
              1. \u6839\u636e\u9700\u6c42\u9009\u578b<\/strong><\/h4>\n\n\n\n\n\n\n\n\n
              \u573a\u666f<\/strong><\/th>\n\u63a8\u8350\u5de5\u5177<\/th>\n<\/tr>\n<\/thead>\n
              \u5feb\u901f\u539f\u578b\u9a8c\u8bc1<\/td>\nFAISS\/Chroma + TF-IDF<\/td>\n<\/tr>\n
              \u4f01\u4e1a\u7ea7\u751f\u4ea7\u73af\u5883<\/td>\nPinecone\/Azure AI Search + Haystack<\/td>\n<\/tr>\n
              \u591a\u6a21\u6001\u68c0\u7d22<\/td>\nJina\/Qdrant<\/td>\n<\/tr>\n
              \u5b8c\u5168\u672c\u5730\u5316\u90e8\u7f72<\/td>\nMilvus\/SQLite + BM25<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              2. \u6838\u5fc3\u6ce8\u610f\u4e8b\u9879<\/strong><\/h4>\n
                \n
              • \u6570\u636e\u89c4\u6a21<\/strong>\uff1a\u5c0f\u6570\u636e\uff08<1GB\uff09\u9009\u672c\u5730\u5de5\u5177\uff08FAISS\uff09\uff0c\u5927\u6570\u636e\u9009\u4e91\u670d\u52a1\uff08Pinecone\uff09\u3002<\/li>\n
              • \u5ef6\u8fdf\u4e0e\u6210\u672c<\/strong>\uff1a\u4e91\u670d\u52a1\u7701\u8fd0\u7ef4\u4f46\u9700\u4ed8\u8d39\uff0c\u672c\u5730\u90e8\u7f72\u6210\u672c\u4f4e\u4f46\u9700\u7ef4\u62a4\u3002<\/li>\n
              • \u6269\u5c55\u6027<\/strong>\uff1a\u5206\u5e03\u5f0f\u6846\u67b6\uff08Milvus\/Jina\uff09\u9002\u5408\u672a\u6765\u589e\u957f\u9700\u6c42\u3002<\/li>\n<\/ul>\n
                \n
                \u516b\u3001\u5b8c\u6574 RAG \u6d41\u7a0b\u793a\u4f8b\uff08LangChain + FAISS + GPT\uff09<\/strong><\/h3>\n
                from langchain.document_loaders import TextLoader\nfrom langchain.text_splitter import CharacterTextSplitter\nfrom langchain.embeddings import OpenAIEmbeddings\nfrom langchain.vectorstores import FAISS\nfrom langchain.chains import RetrievalQA\nfrom langchain.llms import OpenAI\n\n# 1. \u52a0\u8f7d\u6587\u6863\nloader = TextLoader(\"data.txt\")\ndocuments = loader.load()\n\n# 2. \u5206\u5272\u6587\u672c\ntext_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\ntexts = text_splitter.split_documents(documents)\n\n# 3. \u6784\u5efa\u5411\u91cf\u5e93\nembeddings = OpenAIEmbeddings()\ndb = FAISS.from_documents(texts, embeddings)\n\n# 4. \u521b\u5efa RAG \u94fe\nqa_chain = RetrievalQA.from_chain_type(\n    llm=OpenAI(),\n    chain_type=\"stuff\",\n    retriever=db.as_retriever(),\n    return_source_documents=True\n)\n\n# 5. \u63d0\u95ee\nresult = qa_chain(\"\u4ec0\u4e48\u662f\u91cf\u5b50\u8ba1\u7b97\uff1f\")\nprint(result[\"result\"])\n<\/code><\/pre>\n
                \n","protected":false},"excerpt":{"rendered":"
                \u6211\u8ba4\u4e3a\u4e2a\u4ebaAI\u5230\u540e\u671f\u4e00\u5b9a\u662f\u5efa\u7acb\u79c1\u4ebaRAG\uff0c\u7136\u540e\u63d0\u4f9b\u7ed9\u4e0d\u540c\u5927\u6a21\u578b\u5b66\u4e60\u8ba4\u77e5\uff0c\u5e76\u4e14\u80fd\u6301\u7eed\u66f4\u65b0<\/p>\n","protected":false},"author":2,"featured_media":484,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[22,14,11,28],"class_list":["post-372","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai","tag-14","tag-11","tag-28"],"_links":{"self":[{"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/posts\/372","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/karasu.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=372"}],"version-history":[{"count":3,"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/posts\/372\/revisions"}],"predecessor-version":[{"id":483,"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/posts\/372\/revisions\/483"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/karasu.tech\/index.php?rest_route=\/wp\/v2\/media\/484"}],"wp:attachment":[{"href":"https:\/\/karasu.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/karasu.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=372"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/karasu.tech\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}