{"id":1203,"date":"2024-04-26T03:33:08","date_gmt":"2024-04-26T03:33:08","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1203"},"modified":"2024-04-26T03:35:19","modified_gmt":"2024-04-26T03:35:19","slug":"jinghuabijiwuendaxlangchainjiyulangchaindedayuyanmoxingyingyongkaifaxia","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/jinghuabijiwuendaxlangchainjiyulangchaindedayuyanmoxingyingyongkaifaxia.html","title":{"rendered":"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe x LangChain\u300a\u57fa\u4e8eLangChain\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u5f00\u53d1\u300b(\u4e0b)"},"content":{"rendered":"

LangChain \u662f\u4e00\u4e2a\u5f3a\u5927\u7684LLM\u5e94\u7528\u5f00\u53d1\u6846\u67b6\uff0c\u5b83\u80fd\u5e2e\u6211\u4eec\u8f7b\u677e\u5730\u6784\u5efa\u51fa\u9ad8\u6548\u3001\u667a\u80fd\u3001\u53ef\u6269\u5c55\u7684LLM\u5e94\u7528\u3002LangChain \u7684\u6838\u5fc3\u662f\u5bf9\u5f00\u53d1LLM\u5e94\u7528\u8fc7\u7a0b\u6240\u9700\u7684\u7ec4\u4ef6\u63d0\u4f9b\u4e86\u6a21\u5757\u5316\u62bd\u8c61\uff0c\u5e76\u4e14\u53ef\u4ee5\u7528\u7279\u5b9a\u65b9\u5f0f\u7ec4\u88c5\u8fd9\u4e9b\u7ec4\u4ef6\uff0c\u4ee5\u8f7b\u677e\u5730\u5f00\u53d1\u7279\u5b9a\u7684\u7528\u4f8b\u3002<\/p>\n

\u5728\u4e0a\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u300c\u8bb0\u5fc6\u300d\u548c\u300c\u94fe\u300d\u7684\u8fd9\u4e24\u4e2a\u5173\u952e\u7ec4\u4ef6\uff0c\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u9605\u8bfb\uff0c\u8bf7\u70b9\u51fb\u8fd9\u91cc\u67e5\u770b<\/a>\u3002\u5728\u8fd9\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u7ee7\u7eed\u6df1\u5165\u63a2\u8ba8 LangChain \u7684\u5176\u4ed6\u5173\u952e\u7ec4\u4ef6\u2014\u2014\u300c\u5d4c\u5165\u300d\u3001\u300c\u5411\u91cf\u5b58\u50a8\u300d\u3001\u300c\u8bc4\u4f30\u300d\u548c\u300c\u4ee3\u7406\u300d\uff0c\u5b83\u4eec\u540c\u6837\u6491\u8d77\u4e86\u5f00\u53d1LLM\u5e94\u7528\u7684\u5404\u4e2a\u91cd\u8981\u73af\u8282\u3002<\/p>\n

\u5982\u679c\u4f60\u5bf9 LangChain \u611f\u5174\u8da3\uff0c\u5e76\u60f3\u4e86\u89e3\u5982\u4f55\u5229\u7528\u5b83\u5f00\u53d1\u51fa\u5c5e\u4e8e\u4f60\u81ea\u5df1\u7684LLM\u5e94\u7528\uff0c\u8bf7\u7ee7\u7eed\u9605\u8bfb\u4e0b\u53bb\uff0c\u6211\u4eec\u5c06\u4e3a\u4f60\u63ed\u793a LangChain \u7684\u5f3a\u5927\u9b45\u529b\u548c\u65e0\u9650\u53ef\u80fd\u3002<\/p>\n

\u5982\u679c\u4f60\u89c9\u5f97\u300a\u7cbe\u534e\u7b14\u8bb0\u300b\u7cfb\u5217\u5bf9\u4f60\u6709\u6240\u542f\u53d1\uff0c\u8fd8\u8bf7\u4e0d\u541d\u5206\u4eab\u7ed9\u4f60\u7684\u670b\u53cb\uff0c\u8ba9\u66f4\u591a\u4eba\u4e86\u89e3 ChatGPT \u8fd9\u7c7b\u5927\u578b\u8bed\u8a00\u6a21\u578b\u80cc\u540e\u7684\u539f\u7406\u53ca\u5e94\u7528\uff0c\u8c22\u8c22\uff5e<\/p>\n

\u57fa\u4e8e\u6587\u6863\u7684\u95ee\u7b54<\/h1>\n

LLM\u53ef\u4ee5\u6839\u636e\u4ecePDF\u6587\u4ef6\u3001\u7f51\u9875\u6216\u516c\u53f8\u5185\u90e8\u6587\u6863\u4e2d\u63d0\u53d6\u7684\u6587\u672c\u6765\u56de\u7b54\u95ee\u9898\uff0c\u8fd9\u4f7f\u5f97LLM\u80fd\u591f\u4e0e\u672a\u7ecf\u8bad\u7ec3\u7684\u6570\u636e\u7ed3\u5408\u8d77\u6765\uff0c\u4ece\u800c\u66f4\u7075\u6d3b\u5730\u9002\u914d\u4e0d\u540c\u5e94\u7528\u573a\u666f\u3002<\/p>\n

\u8981\u6784\u5efa\u4e00\u4e2a\u57fa\u4e8e\u6587\u6863\u7684\u95ee\u7b54\u7cfb\u7edf\uff0c\u9700\u8981\u5f15\u5165 LangChain \u7684\u66f4\u591a\u5173\u952e\u7ec4\u4ef6\uff0c\u4f8b\u5982\u5d4c\u5165\uff08Embedding\uff09\u6a21\u578b\u548c\u5411\u91cf\u5b58\u50a8\uff08Vector Stores\uff09\u3002<\/p>\n

\u7b80\u5355\u5b9e\u73b0\uff0c\u4ee5\u8f7b\u677e\u5b8c\u6210\u6587\u6863\u95ee\u7b54\u529f\u80fd<\/h2>\n

\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165\u4e00\u4e9b\u8f85\u52a9\u6784\u5efa\u94fe\u7684\u5de5\u5177\uff1a<\/p>\n

<\/div>
javascript<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.chains<\/span> import<\/span> RetrievalQA<\/span><\/span>\nfrom<\/span> langchain.chat_models<\/span> import<\/span> ChatOpenAI<\/span><\/span>\nfrom<\/span> langchain.document_loaders<\/span> import<\/span> CSVLoader<\/span><\/span>\nfrom<\/span> langchain.vectorstores<\/span> import<\/span> DocArrayInMemorySearch<\/span><\/span>\nfrom<\/span> IPython<\/span>.display<\/span> import<\/span> display, Markdown<\/span><\/span>\n<\/code><\/pre>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5de5\u5177<\/th>\u7528\u9014<\/th><\/tr><\/thead>
RetrievalQA<\/td>\u68c0\u7d22\u6587\u6863<\/td><\/tr>
CSVLoader<\/td>\u52a0\u8f7d\u4e13\u7528\u6570\u636e(\u5982CSV)\uff0c\u7528\u6765\u4e0e\u6a21\u578b\u7ed3\u5408\u4f7f\u7528<\/td><\/tr>
DocArrayInMemorySearch<\/td>\u5185\u5b58\u65b9\u5f0f\u7684\u5411\u91cf\u5b58\u50a8\uff0c\u4e0d\u9700\u8981\u8fde\u63a5\u5230\u4efb\u4f55\u7c7b\u578b\u7684\u5916\u90e8\u6570\u636e\u5e93<\/td><\/tr><\/tbody><\/table>\n
\u6b65\u9aa41\uff1a\u521d\u59cb\u5316CSV\u52a0\u8f7d\u5668\uff0c\u4e3a\u5176\u6307\u5b9a\u4e00\u4e2aCSV\u6587\u4ef6\u7684\u8def\u5f84<\/h4>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>file<\/span> = 'OutdoorClothingCatalog_1000.csv'<\/span><\/span>\nloader<\/span> = CSVLoader(file_path=file)<\/span>\n<\/code><\/pre>\n
\u6b65\u9aa42\uff1a\u521b\u5efa\u4e00\u4e2a\u5185\u5b58\u65b9\u5f0f\u7684\u5411\u91cf\u5b58\u50a8\uff0c\u4f20\u5165\u4e0a\u4e00\u6b65\u521b\u5efa\u7684\ufe0f\ufe0f\u52a0\u8f7d\u5668\u3002<\/h4>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.indexes import VectorstoreIndexCreator<\/span>\n<\/span>\nindex<\/span> = VectorstoreIndexCreator(<\/span>\n    vectorstore_cls<\/span>=DocArrayInMemorySearch<\/span>\n).from_loaders([loader]<\/span>)<\/span>\n<\/code><\/pre>\n
\u6b65\u9aa43\uff1a\u5b9a\u4e49\u67e5\u8be2\u5185\u5bb9\uff0c\u5e76\u4f7f\u7528index.query\u751f\u6210\u54cd\u5e94<\/h4>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>query<\/span> =\"Please list all your shirts with sun protection <\/span><\/span>\nin a table in markdown and summarize each one.\"<\/span>\n<\/span>\nresponse<\/span> = index.query(query)<\/span>\n<\/span>\n<\/code><\/pre>\n
\u6b65\u9aa44\uff1a\u5c55\u793a\u67e5\u8be2\u7ed3\u679c\u7684\u8868\u683c\u4ee5\u53ca\u6458\u8981<\/h4>\n
<\/div>
scss<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>display<\/span>(Markdown(response))<\/span>\n<\/code><\/pre>\n
\n
\"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
\u6587\u6863\u95ee\u7b54\u529f\u80fd\u7684\u5e95\u5c42\u539f\u7406<\/h2>\n
\n
\"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
\u8981\u60f3\u8ba9\u8bed\u8a00\u6a21\u578b\u4e0e\u5927\u91cf\u6587\u6863\u76f8\u7ed3\u5408\uff0c\u6709\u4e00\u4e2a\u5173\u952e\u95ee\u9898\u5fc5\u987b\u89e3\u51b3\u3002<\/p>\n
\u90a3\u5c31\u662f\uff0c\u8bed\u8a00\u6a21\u578b\u6bcf\u6b21\u53ea\u80fd\u5904\u7406\u51e0\u5343\u4e2a\u5355\u8bcd\uff0c\u5982\u4f55\u624d\u80fd\u8ba9\u5b83\u5bf9\u4e00\u4e2a\u5927\u578b\u6587\u6863\u7684\u5168\u90e8\u5185\u5bb9\u8fdb\u884c\u95ee\u7b54\u5462\uff1f<\/p>\n
\u8fd9\u91cc\u5c31\u8981\u7528\u5230\u5d4c\u5165\uff08Embedding\uff09\u548c\u5411\u91cf\u5b58\u50a8\uff08Vector Stores\uff09\u8fd9\u4e24\u4e2a\u6280\u672f\u3002<\/p>\n
\u5d4c\u5165\uff08Embedding\uff09<\/h3>\n
\n
\"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
\u5d4c\u5165\u662f\u4e00\u79cd\u5c06\u6587\u672c\u7247\u6bb5\u8f6c\u6362\u4e3a\u6570\u5b57\u8868\u793a\u7684\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u6570\u5b57\u80fd\u591f\u53cd\u6620\u6587\u672c\u7684\u8bed\u4e49\u4fe1\u606f<\/strong>\u3002<\/p>\n
\u8bed\u4e49\u76f8\u8fd1\u7684\u6587\u672c\u4f1a\u6709\u76f8\u8fd1\u7684\u5411\u91cf\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u53ef\u4ee5\u5728\u5411\u91cf\u7a7a\u95f4\u4e2d\u5bf9\u6587\u672c\u8fdb\u884c\u6bd4\u8f83\u3002<\/p>\n
\u6bd4\u5982\uff0c<\/p>\n
    \n
  • \u4e24\u4e2a\u540c\u6837\u63cf\u8ff0\u5ba0\u7269\u7684\u53e5\u5b50\u7684\u5411\u91cf\uff0c\u5176\u76f8\u4f3c\u5ea6\u4f1a\u975e\u5e38\u9ad8\u3002<\/li>\n
  • \u800c\u4e0e\u4e00\u4e2a\u63cf\u8ff0\u6c7d\u8f66\u7684\u53e5\u5b50\u7684\u5411\u91cf\u76f8\u6bd4\u8f83\uff0c\u5176\u76f8\u4f3c\u5ea6\u5219\u4f1a\u5f88\u4f4e\u3002<\/li>\n<\/ul>\n
    \u901a\u8fc7\u5411\u91cf\u76f8\u4f3c\u5ea6\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u627e\u51fa\u6587\u672c\u7247\u6bb5\u4e4b\u95f4\u7684\u8bed\u4e49\u5173\u7cfb<\/strong>\u3002<\/p>\n
    \u5229\u7528\u8fd9\u4e2a\u7279\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u4ece\u6587\u6863\u4e2d\u68c0\u7d22\u51fa\u4e0e\u95ee\u9898\u8bed\u4e49\u6700\u5339\u914d\u7684\u6587\u672c\u7247\u6bb5\uff0c\u7136\u540e\u5c06\u5b83\u4eec\u548c\u95ee\u9898\u4e00\u8d77\u4ea4\u7ed9\u8bed\u8a00\u6a21\u578b\u6765\u751f\u6210\u7b54\u6848\u3002<\/p>\n
    \u5411\u91cf\u6570\u636e\u5e93\uff08Vector Database\uff09<\/h3>\n
    \n
    \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
    \u5411\u91cf\u6570\u636e\u5e93\u662f\u7528\u4e8e\u4fdd\u5b58\u5d4c\u5165\u5411\u91cf\u8868\u793a\u7684\u6570\u636e\u5e93<\/strong>\u3002<\/p>\n
    \u6211\u4eec\u53ef\u4ee5\u5c06\u5927\u578b\u6587\u6863\u62c6\u5206\u6210\u8f83\u5c0f\u7684\u5757\uff0c\u4e3a\u6bcf\u4e2a\u5757\u751f\u6210\u4e00\u4e2a\u5d4c\u5165\uff0c\u5e76\u5c06\u5176\u548c\u539f\u59cb\u5757\u4e00\u8d77\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n
    \u8fd9\u5c31\u662f\u6211\u4eec\u521b\u5efa\u7d22\u5f15\u7684\u8fc7\u7a0b\u3002<\/p>\n
    \u7d22\u5f15\u521b\u5efa\u597d\u540e\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u7528\u5b83\u6765\u67e5\u8be2\u4e0e\u95ee\u9898\u6700\u76f8\u5173\u7684\u6587\u672c\u7247\u6bb5\uff1a<\/p>\n
      \n
    1. \u5f53\u4e00\u4e2a\u95ee\u9898\u8fdb\u6765\u540e\uff0c\u4e3a\u95ee\u9898\u751f\u6210\u5d4c\u5165\uff1b<\/li>\n
    2. \u5c06\u5176\u4e0e\u5411\u91cf\u5b58\u50a8\u4e2d\u7684\u6240\u6709\u5411\u91cf\u8fdb\u884c\u6bd4\u8f83\uff0c\u9009\u62e9\u6700\u76f8\u4f3c\u7684n\u4e2a\u6587\u672c\u7247\u6bb5\uff1b<\/li>\n
    3. \u5c06\u8fd9\u4e9b\u6587\u672c\u7247\u6bb5\u548c\u95ee\u9898\u4e00\u8d77\u4f20\u9012\u7ed9\u8bed\u8a00\u6a21\u578b\uff1b<\/li>\n
    4. \u8ba9\u8bed\u8a00\u6a21\u578b\u6839\u636e\u68c0\u7d22\u5230\u7684\u6587\u6863\u5185\u5bb9\u751f\u6210\u6700\u4f73\u7b54\u6848\u3002<\/li>\n<\/ol>\n
      \u8be6\u7ec6\u5b9e\u73b0\uff0c\u4ee5\u67e5\u770b\u6bcf\u4e00\u6b65\u7684\u6267\u884c\u8fc7\u7a0b<\/h2>\n
      \u6b65\u9aa41\uff1a\u521d\u59cb\u5316CSV\u52a0\u8f7d\u5668\uff0c\u4e3a\u5176\u6307\u5b9a\u4e00\u4e2aCSV\u6587\u4ef6\u7684\u8def\u5f84<\/h4>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>loader<\/span> = CSVLoader(file_path=file)<\/span>\ndocs<\/span> = loader.load()<\/span>\n<\/code><\/pre>\n
      \u6b65\u9aa42\uff1a\u4e3a\u52a0\u8f7d\u7684\u6240\u6709\u6587\u672c\u7247\u6bb5\u751f\u6210\u5d4c\u5165\uff0c\u5e76\u5b58\u50a8\u5728\u4e00\u4e2a\u5411\u91cf\u5b58\u50a8\u5668\u4e2d<\/h4>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.embeddings import OpenAIEmbeddings<\/span>\nembeddings<\/span> = OpenAIEmbeddings()<\/span>\n<\/span>\ndb<\/span> = DocArrayInMemorySearch.from_documents(<\/span>\n    docs, <\/span>\n    embeddings<\/span>\n)<\/span>\n<\/code><\/pre>\n
      \u6211\u4eec\u53ef\u4ee5\u7528\u4e00\u6bb5\u7279\u5b9a\u6587\u672c\u6765\u67e5\u770b\u751f\u6210\u7684\u5d4c\u5165\u5185\u5bb9\u5f62\u5f0f\uff1a<\/p>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>embed<\/span> = embeddings.embed_query(\"Hi my name is Harrison\"<\/span>)<\/span>\n<\/span>\n# \u6253\u5370\u5d4c\u5165\u7684\u7ef4\u5ea6<\/span><\/span>\nprint(len(embed))<\/span>\n# 1536<\/span><\/span>\n<\/span>\n# \u6253\u5370\u524d5\u4e2a\u6570\u5b57<\/span><\/span>\nprint(embed[:5]<\/span>)<\/span>\n# [-0.021930990740656853, 0.006712669972330332, -0.018181458115577698, -0.039156194776296616, -0.014079621061682701]<\/span><\/span>\n<\/code><\/pre>\n
      \u4ece\u6253\u5370\u7ed3\u679c\u53ef\u77e5\uff0c\u8fd9\u4e2a\u5d4c\u5165\u662f\u4e00\u4e2a1536\u7ef4\u7684\u5411\u91cf\uff0c\u4ee5\u53ca\u5411\u91cf\u4e2d\u7684\u6570\u5b57\u662f\u5982\u4f55\u8868\u793a\u7684\u3002<\/p>\n
      \u6211\u4eec\u4e5f\u53ef\u4ee5\u76f4\u63a5\u8f93\u5165\u4e00\u6bb5\u67e5\u8be2\u5185\u5bb9\uff0c\u67e5\u770b\u901a\u8fc7\u5411\u91cf\u5b58\u50a8\u5668\u68c0\u7d22\u5230\u7684\u4e0e\u67e5\u8be2\u5185\u5bb9\u76f8\u4f3c\u7684\u6587\u672c\u7247\u6bb5\uff1a<\/p>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>query<\/span> = \"Please suggest a shirt with sunblocking\"<\/span><\/span>\ndocs<\/span> = db.similarity_search(query)<\/span>\n<\/span>\n# \u6253\u5370\u68c0\u7d22\u5230\u7684\u6587\u672c\u7247\u6bb5\u6570<\/span><\/span>\nlen(docs)<\/span>\n# 4<\/span><\/span>\n<\/span>\n# \u6253\u5370\u7b2c\u4e00\u4e2a\u6587\u672c\u7247\u6bb5\u5185\u5bb9<\/span><\/span>\ndocs[0]<\/span><\/span>\n# Document(page_content=': 255nname: Sun Shield Shirt byndescription: \"Block the sun, not the fun \u2013 our high-performance sun shirt is guaranteed to protect from harmful UV rays. nnSize & Fit: Slightly Fitted: Softly shapes the body. Falls at hip.nnFabric & Care: 78% nylon, 22% Lycra Xtra Life fiber. UPF 50+ rated \u2013 the highest rated sun protection possible. Handwash, line dry.nnAdditional Features: Wicks moisture for quick-drying comfort. Fits comfortably over your favorite swimsuit. Abrasion resistant for season after season of wear. Imported.nnSun Protection That Won't Wear OffnOur high-performance fabric provides SPF 50+ sun protection, blocking 98% of the sun's harmful rays. This fabric is recommended by The Skin Cancer Foundation as an effective UV protectant.', metadata={'source': 'OutdoorClothingCatalog_1000.csv', 'row': 255})<\/span><\/span>\n<\/code><\/pre>\n
      \u4ece\u6253\u5370\u7ed3\u679c\u53ef\u77e5\uff0c\u68c0\u7d22\u5230\u4e864\u4e2a\u76f8\u4f3c\u7684\u6587\u672c\u7247\u6bb5\uff0c\u800c\u8fd4\u56de\u7684\u7b2c\u4e00\u4e2a\u6587\u672c\u7247\u6bb5\u4e5f\u786e\u5b9e\u4e0e\u67e5\u8be2\u5185\u5bb9\u76f8\u5173\u3002<\/p>\n
      \u6b65\u9aa43\uff1a\u4f7f\u7528RetrievalQA\u94fe\u5bf9\u67e5\u8be2\u8fdb\u884c\u68c0\u7d22\uff0c\u7136\u540e\u5728\u68c0\u7d22\u7684\u6587\u6863\u4e0a\u8fdb\u884c\u95ee\u7b54<\/h4>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>retriever<\/span> = db.as_retriever()<\/span>\nllm<\/span> = ChatOpenAI(temperature = 0.0<\/span>)<\/span>\n<\/span>\n# stuff\u8868\u793a\u5c06\u6587\u672c\u7247\u6bb5\u5408\u5e76\u6210\u4e00\u6bb5\u6587\u672c<\/span><\/span>\nqa_stuff<\/span> = RetrievalQA.from_chain_type(<\/span>\n    llm<\/span>=llm, <\/span>\n    chain_type<\/span>=\"stuff\"<\/span>, <\/span>\n    retriever<\/span>=retriever, <\/span>\n    verbose<\/span>=True<\/span><\/span>\n)<\/span>\n<\/code><\/pre>\n
      RetrievalQA\u94fe\u5176\u5b9e\u5c31\u662f\u628a\u5408\u5e76\u6587\u672c\u7247\u6bb5\u548c\u8c03\u7528\u8bed\u8a00\u6a21\u578b\u8fd9\u4e24\u6b65\u9aa4\u5c01\u88c5\u8d77\u6765\uff0c\u5982\u679c\u6ca1\u6709RetrievalQA\u94fe\uff0c\u6211\u4eec\u9700\u8981\u8fd9\u6837\u5b50\u5b9e\u73b0\uff1a<\/p>\n
      1.\u5c06\u68c0\u7d22\u51fa\u6765\u7684\u6587\u672c\u7247\u6bb5\u5408\u5e76\u6210\u4e00\u6bb5\u6587\u672c<\/p>\n
      <\/div>
      go<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>qdocs = \"\"<\/span>.join([docs[i].page_content for<\/span> i in range<\/span>(len<\/span>(docs))])<\/span>\n<\/code><\/pre>\n
      2.\u5c06\u5408\u5e76\u540e\u7684\u6587\u672c\u548c\u95ee\u9898\u4e00\u8d77\u4f20\u7ed9LLM<\/p>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>response<\/span> = llm.call_as_llm(f\"{qdocs} Question: Please list all your <\/span><\/span>\nshirts with sun protection in a table in markdown and summarize each one.\") <\/span>\n<\/code><\/pre>\n
      \u6b65\u9aa44\uff1a\u521b\u5efa\u4e00\u4e2a\u67e5\u8be2\uff0c\u5e76\u628a\u67e5\u8be2\u7684\u5185\u5bb9\u4f20\u5165\u94fe\u5e76\u8fd0\u884c<\/h4>\n
      <\/div>
      ini<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>response<\/span> = qa_stuff.run(query)<\/span>\n<\/code><\/pre>\n
      \u6b65\u9aa45\uff1a\u5c55\u793a\u67e5\u8be2\u7ed3\u679c\u7684\u8868\u683c\u4ee5\u53ca\u6458\u8981<\/h4>\n
      <\/div>
      scss<\/span>
      \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>display<\/span>(Markdown(response))<\/span>\n<\/code><\/pre>\n
      \n
      \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
      \u53ef\u9009\u7684\u94fe\u7c7b\u578b(chain_type)<\/h2>\n
      stuff<\/h3>\n
      \n
      \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
      \u5c06\u6240\u6709\u5185\u5bb9\u653e\u5165\u4e00\u4e2a\u63d0\u793a\u4e2d\uff0c\u53d1\u9001\u7ed9\u8bed\u8a00\u6a21\u578b\u5e76\u83b7\u53d6\u4e00\u4e2a\u56de\u7b54\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u3001\u5ec9\u4ef7\u4e14\u6548\u679c\u4e0d\u9519\u3002<\/p>\n
      \u5f53\u6587\u6863\u6570\u91cf\u8f83\u5c11\u4e14\u6587\u6863\u957f\u5ea6\u8f83\u77ed\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u79cd\u65b9\u6cd5\u662f\u53ef\u884c\u7684\u3002<\/p>\n
      Map_reduce<\/h3>\n
      \n
      \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
      \u5c06\u6bcf\u4e2a\u5185\u5bb9\u548c\u95ee\u9898\u4e00\u8d77\u4f20\u9012\u7ed9\u8bed\u8a00\u6a21\u578b\uff0c\u5e76\u5c06\u6240\u6709\u5355\u72ec\u7684\u56de\u7b54\u6c47\u603b\u6210\u6700\u7ec8\u7b54\u6848\u3002<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5904\u7406\u4efb\u610f\u6570\u91cf\u7684\u6587\u6863\uff0c\u5e76\u4e14\u53ef\u4ee5\u5e76\u884c\u5904\u7406\u5404\u4e2a\u95ee\u9898\u3002<\/p>\n
      Refine<\/h3>\n
      \n
      \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
      \u8fed\u4ee3\u5730\u5904\u7406\u591a\u4e2a\u6587\u6863\uff0c\u5b83\u4f1a\u57fa\u4e8e\u524d\u4e00\u4e2a\u6587\u6863\u7684\u7b54\u6848\u6765\u6784\u5efa\u7b54\u6848\u3002<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u7ec4\u5408\u4fe1\u606f\u548c\u9010\u6b65\u6784\u5efa\u7b54\u6848\uff0c\u4f46\u901f\u5ea6\u8f83\u6162\u3002<\/p>\n
      Map_rerank<\/h3>\n
      \n
      \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
      \u6bcf\u4e2a\u6587\u6863\u8fdb\u884c\u5355\u72ec\u7684\u8bed\u8a00\u6a21\u578b\u8c03\u7528\uff0c\u5e76\u8981\u6c42\u8fd4\u56de\u4e00\u4e2a\u5206\u6570\uff0c\u7136\u540e\u9009\u62e9\u6700\u9ad8\u5206\u6570\u7684\u7b54\u6848\u3002<\/p>\n
      \u8fd9\u79cd\u65b9\u6cd5\u9700\u8981\u544a\u8bc9\u8bed\u8a00\u6a21\u578b\u5982\u4f55\u8bc4\u5206\uff0c\u5e76\u4e14\u9700\u8981\u9488\u5bf9\u8fd9\u90e8\u5206\u6307\u4ee4\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n
      \u8bc4\u4f30<\/h1>\n
      \u8bc4\u4f30\u6709\u4e24\u4e2a\u76ee\u7684\uff1a<\/p>\n
        \n
      • \u68c0\u9a8cLLM\u5e94\u7528\u662f\u5426\u8fbe\u5230\u4e86\u9a8c\u6536\u6807\u51c6<\/li>\n
      • \u5206\u6790\u6539\u52a8\u5bf9\u4e8eLLM\u5e94\u7528\u6027\u80fd\u7684\u5f71\u54cd<\/li>\n<\/ul>\n
        \u57fa\u672c\u7684\u601d\u8def\u5c31\u662f\u5229\u7528\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u548c\u94fe\u672c\u8eab\uff0c\u6765\u8f85\u52a9\u8bc4\u4f30\u5176\u4ed6\u7684\u8bed\u8a00\u6a21\u578b\u3001\u94fe\u548c\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n
        \u6211\u4eec\u8fd8\u662f\u4ee5\u4e0a\u4e00\u8282\u8bfe\u7684\u6587\u6863\u95ee\u7b54\u5e94\u7528\u4e3a\u4f8b\u3002<\/p>\n
        \u8bc4\u4f30\u8fc7\u7a0b\u9700\u8981\u7528\u5230\u8bc4\u4f30\u6570\u636e\u96c6\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u786c\u7f16\u7801\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\u96c6\uff0c\u6bd4\u5982\uff1a<\/p>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>examples<\/span> = [<\/span>\n    {<\/span>\n        \"query\"<\/span>: \"Do the Cozy Comfort Pullover Set<\/span><\/span>\n        have side pockets?\",<\/span>\n        \"answer\"<\/span>: \"Yes\"<\/span><\/span>\n    },<\/span>\n    {<\/span>\n        \"query\"<\/span>: \"What collection is the Ultra-Lofty <\/span><\/span>\n        850 Stretch Down Hooded Jacket from?\",<\/span>\n        \"answer\"<\/span>: \"The DownTek collection\"<\/span><\/span>\n    }<\/span>\n]<\/span>\n<\/code><\/pre>\n
        \u4f46\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u592a\u65b9\u4fbf\u6269\u5c55\uff0c\u4e5f\u6bd4\u8f83\u8017\u65f6\uff0c\u6240\u4ee5\uff0c\u6211\u4eec\u53ef\u4ee5\u2014\u2014<\/p>\n
        \u6b65\u9aa41\uff1a\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u81ea\u52a8\u751f\u6210\u8bc4\u4f30\u6570\u636e\u96c6<\/h4>\n
        QAGenerateChain\u94fe\u7528\u4e8e\u63a5\u6536\u6587\u6863\uff0c\u5e76\u501f\u52a9\u8bed\u8a00\u6a21\u578b\u4e3a\u6bcf\u4e2a\u6587\u6863\u751f\u6210\u4e00\u4e2a\u95ee\u7b54\u5bf9\u3002<\/p>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.evaluation.qa import QAGenerateChain<\/span>\n<\/span>\nexample_gen_chain<\/span> = QAGenerateChain.from_llm(ChatOpenAI())<\/span>\n<\/span>\nnew_examples<\/span> = example_gen_chain.apply_and_parse(<\/span>\n    [{\"doc\": t} for t in data[:5]]<\/span><\/span>\n)<\/span>\n<\/code><\/pre>\n
        \u6211\u4eec\u53ef\u4ee5\u6253\u5370\u770b\u4e0b\u5176\u8fd4\u56de\u7684\u5185\u5bb9\uff1a<\/p>\n
        <\/div>
        javascript<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>print<\/span>(new_examples[0<\/span>]<\/span>)<\/span>\n<\/span>\n{'query'<\/span>: \"What is the weight of each pair of Women's Campside Oxfords?\"<\/span>,<\/span>\n 'answer'<\/span>: \"The approximate weight of each pair of Women's Campside Oxfords is 1 lb. 1 oz.\"<\/span>}<\/span>\n<\/code><\/pre>\n
        \u6b65\u9aa42\uff1a\u5c06\u751f\u6210\u7684\u95ee\u7b54\u5bf9\u6dfb\u52a0\u5230\u5df2\u6709\u7684\u8bc4\u4f30\u6570\u636e\u96c6\u4e2d<\/h4>\n
        <\/div>
        makefile<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>examples += new_examples<\/span>\n<\/code><\/pre>\n
        \u6b65\u9aa43\uff1a\u4e3a\u6240\u6709\u4e0d\u540c\u7684\u793a\u4f8b\u751f\u6210\u5b9e\u9645\u7b54\u6848<\/h4>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u8fd9\u91cc\u7684qa\u5bf9\u5e94\u7684\u662f\u4e0a\u4e00\u8282\u8bfe\u7684RetrievalQA\u94fe<\/span><\/span>\npredictions<\/span> = qa.apply(examples) <\/span>\n<\/code><\/pre>\n
        \u6b65\u9aa44\uff1a\u5bf9LLM\u5e94\u7528\u7684\u8f93\u51fa\u8fdb\u884c\u8bc4\u4f30<\/h4>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.evaluation.qa import QAEvalChain<\/span>\nllm<\/span> = ChatOpenAI(temperature=0<\/span>)<\/span>\neval_chain<\/span> = QAEvalChain.from_llm(llm)<\/span>\n# \u4f20\u5165\u793a\u4f8b\u5217\u8868\u548c\u5b9e\u9645\u7b54\u6848\u5217\u8868<\/span><\/span>\ngraded_outputs<\/span> = eval_chain.evaluate(examples, predictions)<\/span>\n<\/code><\/pre>\n
        \u6b65\u9aa45\uff1a\u6253\u5370\u95ee\u9898\u3001\u6807\u51c6\u7b54\u6848\u3001\u5b9e\u9645\u7b54\u6848\u548c\u8bc4\u5206<\/h4>\n
        <\/div>
        python<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>for<\/span> i, eg in<\/span> enumerate<\/span>(examples):<\/span>\n    print<\/span>(f\"Example {i}<\/span>:\"<\/span>)<\/span>\n    print<\/span>(\"Question: \"<\/span> + predictions[i]['query'<\/span>])<\/span>\n    print<\/span>(\"Real Answer: \"<\/span> + predictions[i]['answer'<\/span>])<\/span>\n    print<\/span>(\"Predicted Answer: \"<\/span> + predictions[i]['result'<\/span>])<\/span>\n    print<\/span>(\"Predicted Grade: \"<\/span> + graded_outputs[i]['text'<\/span>])<\/span>\n    print<\/span>()<\/span>\n<\/code><\/pre>\n
        \u5217\u4e3e\u5176\u4e2d\u7684\u524d3\u4e2a\u8bc4\u4f30\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n
        <\/div>
        vbnet<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>Example 0<\/span>:<\/span>\nQuestion:<\/span> Do<\/span> the Cozy Comfort Pullover Set<\/span> have side pockets?<\/span>\nReal Answer: Yes<\/span>\nPredicted Answer: The Cozy Comfort Pullover Set<\/span>, Stripe does have side pockets.<\/span>\nPredicted Grade: CORRECT<\/span>\n<\/span>\nExample 1<\/span>:<\/span>\nQuestion:<\/span> What collection is<\/span> the Ultra-Lofty 850<\/span> Stretch Down Hooded Jacket from<\/span>?<\/span>\nReal Answer: The DownTek collection<\/span>\nPredicted Answer: The Ultra-Lofty 850<\/span> Stretch Down Hooded Jacket is<\/span> from<\/span> the DownTek collection.<\/span>\nPredicted Grade: CORRECT<\/span>\n<\/span>\nExample 2<\/span>:<\/span>\nQuestion:<\/span> What is<\/span> the weight of<\/span> each<\/span> pair of<\/span> Women's Campside Oxfords?<\/span><\/span>\nReal Answer: The approximate weight of<\/span> each<\/span> pair of<\/span> Women's Campside Oxfords is 1 lb. 1 oz.<\/span><\/span>\nPredicted Answer: The weight of<\/span> each<\/span> pair of<\/span> Women's Campside Oxfords is approximately 1 lb. 1 oz.<\/span><\/span>\nPredicted Grade: CORRECT<\/span>\n<\/span>\n...<\/span>\n<\/span>\n<\/code><\/pre>\n
        \u5bf9\u6bd4\u7b2c\u4e00\u4e2a\u8bc4\u4f30\u7ed3\u679c\u7684\u4e24\u4e2a\u7b54\u6848\u53ef\u4ee5\u770b\u5230\uff0c\u5176\u6807\u51c6\u7b54\u6848\u8f83\u4e3a\u7b80\u6d01\uff0c\u800c\u5b9e\u9645\u7b54\u6848\u5219\u8f83\u4e3a\u8be6\u7ec6\uff0c\u4f46\u8868\u8fbe\u7684\u610f\u601d\u90fd\u662f\u6b63\u786e\u7684\uff0c\u8bed\u8a00\u6a21\u578b\u4e5f\u80fd\u8bc6\u522b\uff0c\u56e0\u6b64\u624d\u628a\u5b83\u6807\u8bb0\u4e3a\u6b63\u786e\u7684\u3002<\/p>\n
        \u867d\u7136\u8fd9\u4e24\u4e2a\u5b57\u7b26\u4e32\u5b8c\u5168\u4e0d\u540c\uff0c\u4ee5\u81f4\u4e8e\u4f7f\u7528\u4f20\u7edf\u7684\u6b63\u5219\u8868\u8fbe\u5f0f\u7b49\u624b\u6bb5\u662f\u65e0\u6cd5\u5bf9\u5b83\u4eec\u8fdb\u884c\u6bd4\u8f83\u7684\u3002<\/p>\n
        \u8fd9\u91cc\u5c31\u4f53\u73b0\u4e86\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\u7684\u4f18\u52bf\u2014\u2014\u540c\u4e00\u4e2a\u95ee\u9898\u7684\u7b54\u6848\u53ef\u80fd\u6709\u5f88\u591a\u4e0d\u540c\u7684\u53d8\u4f53\uff0c\u53ea\u8981\u610f\u601d\u76f8\u901a\uff0c\u5c31\u5e94\u8be5\u88ab\u8ba4\u4e3a\u662f\u76f8\u4f3c\u7684<\/strong>\u3002<\/p>\n
        \u4f7f\u7528LangChain\u8bc4\u4f30\u5e73\u53f0<\/h2>\n
        \u4ee5\u4e0a\u64cd\u4f5c\u90fd\u53ef\u4ee5\u5728LangChain\u8bc4\u4f30\u5e73\u53f0\u4e0a\u4ee5\u53ef\u89c6\u5316UI\u754c\u9762\u7684\u5f62\u5f0f\u5c55\u793a\uff0c\u5e76\u5bf9\u6570\u636e\u8fdb\u884c\u6301\u4e45\u5316\uff0c\u5305\u62ec\uff1a<\/p>\n
        \u67e5\u770b\u548c\u8ddf\u8e2a\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\u7684\u8f93\u5165\u548c\u8f93\u51fa<\/h3>\n
        \n
        \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
        \n
        \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
        \u53ef\u89c6\u5316\u94fe\u4e2d\u6bcf\u4e2a\u6b65\u9aa4\u8f93\u51fa\u7684\u4fe1\u606f<\/h3>\n
        \n
        \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
        \n
        \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
        \u5c06\u793a\u4f8b\u6dfb\u52a0\u5230\u6570\u636e\u96c6\u4e2d\uff0c\u4ee5\u4fbf\u6301\u4e45\u5316\u548c\u8fdb\u4e00\u6b65\u8bc4\u4f30<\/h3>\n
        \n
        \"\u7cbe\u534e\u7b14\u8bb0\uff1a\u5434\u6069\u8fbe<\/figure>\n<\/p>\n
        \n
        \"\u56fe\u7247.png\"<\/figure>\n<\/p>\n
        \u4ee3\u7406<\/h1>\n
        \u5927\u578b\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u63a8\u7406\u5f15\u64ce\uff0c\u53ea\u8981\u7ed9\u5b83\u63d0\u4f9b\u6587\u672c\u6216\u5176\u4ed6\u4fe1\u606f\u6e90\uff0c\u5b83\u5c31\u4f1a\u5229\u7528\u4e92\u8054\u7f51\u4e0a\u5b66\u4e60\u5230\u7684\u80cc\u666f\u77e5\u8bc6\u6216\u4f60\u63d0\u4f9b\u7684\u65b0\u4fe1\u606f\uff0c\u6765\u56de\u7b54\u95ee\u9898\u3001\u63a8\u7406\u5185\u5bb9\u6216\u51b3\u5b9a\u4e0b\u4e00\u6b65\u7684\u64cd\u4f5c\u3002<\/p>\n
        \u8fd9\u5c31\u662fLangChain\u7684\u4ee3\u7406\u6846\u67b6\u80fd\u591f\u5e2e\u6211\u4eec\u5b9e\u73b0\u7684\u4e8b\u60c5\uff0c\u800c\u4ee3\u7406\u4e5f\u6b63\u662fLangChain\u6700\u5f3a\u5927\u7684\u529f\u80fd\u4e4b\u4e00\u3002<\/p>\n
        \u4f7f\u7528\u5185\u7f6e\u4e8e LangChain \u7684\u5de5\u5177<\/h2>\n
        \u6b65\u9aa41\uff1a\u521d\u59cb\u5316\u8bed\u8a00\u6a21\u578b<\/h4>\n
        <\/div>
        javascript<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.agents<\/span>.agent_toolkits<\/span> import<\/span> create_python_agent<\/span>\nfrom<\/span> langchain.agents<\/span> import<\/span> load_tools, initialize_agent<\/span>\nfrom<\/span> langchain.agents<\/span> import<\/span> AgentType<\/span><\/span>\nfrom<\/span> langchain.tools<\/span>.python<\/span>.tool<\/span> import<\/span> PythonREPLTool<\/span><\/span>\nfrom<\/span> langchain.python<\/span> import<\/span> PythonREPL<\/span><\/span>\nfrom<\/span> langchain.chat_models<\/span> import<\/span> ChatOpenAI<\/span><\/span>\n<\/span>\nllm = ChatOpenAI<\/span>(temperature=0<\/span>)<\/span>\n<\/code><\/pre>\n