{"id":2902,"date":"2024-04-12T16:15:19","date_gmt":"2024-04-12T08:15:19","guid":{"rendered":"https:\/\/www.aqwu.net\/wp\/?p=2902"},"modified":"2024-04-28T19:54:08","modified_gmt":"2024-04-28T11:54:08","slug":"llamaindex-%e5%92%8c-langchain-%e6%9c%89%e5%95%a5%e5%8c%ba%e5%88%ab%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.aqwu.net\/wp\/?p=2902","title":{"rendered":"LlamaIndex \u548c Langchain \u6709\u5565\u533a\u522b\uff1f"},"content":{"rendered":"\n

LlamaIndex\u548cLangChain\u90fd\u662f\u7528\u4e8e\u5f00\u53d1\u7531\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\uff0c\u4f46\u5b83\u4eec\u5404\u81ea\u4fa7\u91cd\u4e8e\u4e0d\u540c\u7684\u529f\u80fd\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n\n\n\n

LlamaIndex\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u6846\u67b6\uff0c\u4f7f\u4f60\u80fd\u591f\u8f7b\u677e\u5730\u5c06\u81ea\u5df1\u7684\u6570\u636e\u8fde\u63a5\u5230LLM\u3002\u5b83\u63d0\u4f9b\u7075\u6d3b\u7684\u6570\u636e\u8fde\u63a5\u5668\u6765\u4ece\u591a\u79cd\u6765\u6e90\uff08\u5982API\u3001\u6570\u636e\u5e93\u3001PDF\u7b49\uff09\u6444\u53d6\u6570\u636e\u3002\u8fd9\u4e9b\u79c1\u6709\u6570\u636e\u968f\u540e\u88ab\u7d22\u5f15\u6210\u4f18\u5316\u7684\u8868\u793a\uff0cLLM\u53ef\u4ee5\u5728\u5927\u89c4\u6a21\u4e0a\u8bbf\u95ee\u548c\u89e3\u91ca\u8fd9\u4e9b\u6570\u636e\uff0c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u5e95\u5c42\u6a21\u578b\u3002LlamaIndex\u901a\u8fc7\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u6280\u672f\uff0c\u5141\u8bb8LLM\u52a8\u6001\u5730\u6839\u636e\u67e5\u8be2\u7684\u8bed\u4e49\u76f8\u4f3c\u6027\u4ece\u5411\u91cf\u7d22\u5f15\u4e2d\u68c0\u7d22\u6700\u76f8\u5173\u7684\u4fe1\u606f\u7247\u6bb5\uff0c\u7136\u540e\u751f\u6210\u6700\u7ec8\u54cd\u5e94\u200b (AI StartUps Info<\/a>)\u200b\u3002<\/p>\n\n\n\n

LangChain\u662f\u4e00\u4e2a\u529f\u80fd\u66f4\u4e3a\u5168\u9762\u7684\u6846\u67b6\uff0c\u5b83\u4f7f\u5f00\u53d1\u8005\u80fd\u591f\u5c06LLM\u4e0e\u5404\u79cd\u6570\u636e\u6e90\u548c\u670d\u52a1\u7ed3\u5408\u8d77\u6765\u3002LangChain\u7684\u6838\u5fc3\u8bbe\u8ba1\u56f4\u7ed5\u51e0\u4e2a\u5173\u952e\u6982\u5ff5\uff0c\u5305\u62ec\u63d0\u793a\u3001\u6a21\u578b\u3001\u7d22\u5f15\u548c\u94fe\u3002LangChain\u63d0\u4f9b\u4e86\u4e00\u5957\u6807\u51c6\u5316\u7684\u63a5\u53e3\u548c\u5de5\u5177\uff0c\u4ee5\u7b80\u5316\u4e0eLLM\u7684\u4ea4\u4e92\uff0c\u5305\u62ec\u6587\u672c\u52a0\u8f7d\u5668\u3001\u5411\u91cf\u5b58\u50a8\u7d22\u5f15\u521b\u5efa\u8005\u7b49\u7ec4\u4ef6\u3002LangChain\u652f\u6301\u591a\u79cd\u7d22\u5f15\u6280\u672f\uff0c\u4f18\u5316\u4e86LLM\u7684\u4f7f\u7528\uff0c\u6bd4\u5982\u5185\u5b58\u4e2d\u7684\u5411\u91cf\u5b58\u50a8\u548c\u5d4c\u5165\uff0c\u8fd8\u6709\u94fe\uff0c\u8fd9\u662f\u4e00\u7cfb\u5217\u8c03\u7528LLM\u548c\u5176\u4ed6\u5de5\u5177\u7684\u6b65\u9aa4\uff0c\u8f93\u51fa\u4f5c\u4e3a\u4e0b\u4e00\u6b65\u7684\u8f93\u5165\u200b (AI StartUps Info<\/a>)\u200b\u3002<\/p>\n\n\n\n

\u4e24\u8005\u4e4b\u95f4\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5b83\u4eec\u7684\u4f7f\u7528\u573a\u666f\u548c\u7075\u6d3b\u6027\u3002LlamaIndex\u7279\u522b\u9002\u5408\u4e8e\u641c\u7d22\u548c\u68c0\u7d22\u4efb\u52a1\uff0c\u4f7f\u5176\u6210\u4e3a\u6df1\u5ea6\u6570\u636e\u63a2\u7d22\u7684\u6709\u529b\u5de5\u5177\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cLangChain\u63d0\u4f9b\u4e86\u66f4\u5e7f\u6cdb\u7684\u80fd\u529b\u548c\u5de5\u5177\u96c6\u6210\uff0c\u9002\u7528\u4e8e\u6784\u5efa\u66f4\u590d\u6742\u3001\u53ef\u9002\u5e94\u7684LLM\u5e94\u7528\u7a0b\u5e8f\u3002\u5982\u679c\u4f60\u7684\u4e3b\u8981\u76ee\u6807\u662f\u6784\u5efa\u4ee5\u641c\u7d22\u548c\u68c0\u7d22\u4e3a\u4e2d\u5fc3\u7684\u5e94\u7528\uff0cLlamaIndex\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\u3002\u800c\u5982\u679c\u4f60\u65e8\u5728\u6784\u5efa\u66f4\u4e3a\u590d\u6742\u3001\u7075\u6d3b\u7684LLM\u5e94\u7528\uff0c\u53ef\u80fd\u9700\u8981\u81ea\u5b9a\u4e49\u67e5\u8be2\u5904\u7406\u7ba1\u9053\u3001\u591a\u6a21\u5f0f\u96c6\u6210\uff0c\u5e76\u4e14\u9700\u8981\u9ad8\u5ea6\u53ef\u8c03\u8282\u7684\u6027\u80fd\u8c03\u4f18\uff0c\u90a3\u4e48LangChain\u53ef\u80fd\u66f4\u9002\u5408\u4f60\u200b (Data Science Dojo<\/a>)\u200b\u200b (AI Starter<\/a>)\u200b\u3002<\/p>\n\n\n\n

\u66f4\u591a\u5173\u4e8eLlamaIndex\u7684\u4fe1\u606f\uff0c\u4f60\u53ef\u4ee5\u53c2\u8003\u5b98\u65b9\u6587\u6863\u4ee5\u83b7\u53d6\u66f4\u6df1\u5165\u7684\u4e86\u89e3\u200b (AI Starter<\/a>)\u200b\u3002\u800c\u5173\u4e8eLangChain\u7684\u66f4\u591a\u8be6\u7ec6\u4fe1\u606f\uff0c\u4e5f\u53ef\u4ee5\u5728\u5b83\u7684\u5b98\u65b9\u6587\u6863\u4e2d\u627e\u5230\u200b (AI Starter<\/a>)\u200b\u3002<\/p>\n\n\n\n

\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406 \uff08NLP\uff09 \u548c\u5927\u578b\u8bed\u8a00\u6a21\u578b \uff08\uff09LLMs \u7684\u4e16\u754c\u4e2d\uff0c\u5f00\u53d1\u4eba\u5458\u4e00\u76f4\u5728\u5bfb\u6c42\u5f3a\u5927\u7684\u5de5\u5177\u6765\u6784\u5efa\u5c16\u7aef\u5e94\u7528\u7a0b\u5e8f\u3002\u4e24\u4e2a\u8457\u540d\u7684\u6846\u67b6\u5df2\u7ecf\u6210\u4e3a\u8be5\u9886\u57df\u7684\u9886\u8dd1\u8005\uff1aLlamaIndex \u548c LangChain\u3002\u867d\u7136\u4e24\u8005\u90fd\u65e8\u5728\u7b80\u5316\u4e0e\u81ea\u5b9a\u4e49\u5e94\u7528\u7a0b\u5e8f\u7684LLMs\u96c6\u6210\uff0c\u4f46\u5b83\u4eec\u5728\u65b9\u6cd5\u548c\u91cd\u70b9\u4e0a\u6709\u6240\u4e0d\u540c\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8 LlamaIndex \u548c LangChain \u4e4b\u95f4\u7684\u4e3b\u8981\u533a\u522b\uff0c\u5e2e\u52a9\u60a8\u5728\u4e3a\u9879\u76ee\u9009\u62e9\u6846\u67b6\u65f6\u505a\u51fa\u660e\u667a\u7684\u51b3\u5b9a\u3002<\/p>\n\n\n\n

\u7b2c 1 \u90e8\u5206 \u4ec0\u4e48\u662f LlamaIndex\uff1f<\/h2>\n\n\n\n

LlamaIndex \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u6846\u67b6\uff0c\u53ef\u8ba9\u60a8\u8f7b\u677e\u5730\u5c06\u81ea\u5df1\u7684\u6570\u636e\u8fde\u63a5\u5230 LLMs.\u5b83\u63d0\u4f9b\u7075\u6d3b\u7684\u6570\u636e\u8fde\u63a5\u5668\uff0c\u7528\u4e8e\u4ece\u5404\u79cd\u6765\u6e90\uff08\u5982 API\u3001\u6570\u636e\u5e93\u3001PDF \u7b49\uff09\u6444\u53d6\u6570\u636e\u3002\u7136\u540e\uff0c\u5c06\u6b64\u79c1\u6709\u6570\u636e\u7d22\u5f15\u4e3a\u4f18\u5316\u7684\u8868\u793a\u5f62\u5f0f\uff0c\u8fd9\u4e9bLLMs\u8868\u793a\u5f62\u5f0f\u53ef\u4ee5\u5927\u89c4\u6a21\u8bbf\u95ee\u548c\u89e3\u91ca\uff0c\u800c\u65e0\u9700\u91cd\u65b0\u8bad\u7ec3\u57fa\u7840\u6a21\u578b\u3002<\/p>\n\n\n\n

LlamaIndex \u4e3a\u60a8\u7684LLMs\u79c1\u4eba\u6570\u636e\u63d0\u4f9b\u201c\u8bb0\u5fc6\u201d\uff0c\u4ed6\u4eec\u53ef\u4ee5\u5229\u7528\u8fd9\u4e9b\u8bb0\u5fc6\u6765\u63d0\u4f9b\u660e\u667a\u7684\u4e0a\u4e0b\u6587\u54cd\u5e94\u3002\u65e0\u8bba\u60a8\u662f\u60f3\u5728\u516c\u53f8\u7684\u6587\u6863\u4e0a\u6784\u5efa\u804a\u5929\u673a\u5668\u4eba\u3001\u4e2a\u6027\u5316\u7b80\u5386\u5206\u6790\u5de5\u5177\uff0c\u8fd8\u662f\u53ef\u4ee5\u56de\u7b54\u6709\u5173\u7279\u5b9a\u77e5\u8bc6\u9886\u57df\u95ee\u9898\u7684 AI \u52a9\u624b\uff0cLlamaIndex \u90fd\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b9e\u73b0\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

1.1 LlamaIndex \u7684\u5de5\u4f5c\u539f\u7406<\/strong><\/h3>\n\n\n\n

LlamaIndex \u7684\u6838\u5fc3\u4f7f\u7528\u4e00\u79cd\u79f0\u4e3a\u68c0\u7d22\u589e\u5f3a\u751f\u6210 \uff08RAG\uff09 \u7684\u6280\u672f\u3002\u5178\u578b\u7684RAG\u7cfb\u7edf\u6709\u4e24\u4e2a\u5173\u952e\u9636\u6bb5\uff1a<\/p>\n\n\n\n

    \n
  • \u7d22\u5f15\u9636\u6bb5\uff1a\u5728\u7d22\u5f15\u8fc7\u7a0b\u4e2d\uff0c\u60a8\u7684\u79c1\u6709\u6570\u636e\u4f1a\u6709\u6548\u5730\u8f6c\u6362\u4e3a\u53ef\u641c\u7d22\u7684\u5411\u91cf\u7d22\u5f15\u3002LlamaIndex \u53ef\u4ee5\u5904\u7406\u975e\u7ed3\u6784\u5316\u6587\u672c\u6587\u6863\u3001\u7ed3\u6784\u5316\u6570\u636e\u5e93\u8bb0\u5f55\u3001\u77e5\u8bc6\u56fe\u8c31\u7b49\u3002\u6570\u636e\u88ab\u8f6c\u6362\u4e3a\u6570\u5b57\u5d4c\u5165\uff0c\u4ee5\u6355\u83b7\u5176\u8bed\u4e49\u542b\u4e49\uff0c\u4ece\u800c\u5141\u8bb8\u4ee5\u540e\u8fdb\u884c\u5feb\u901f\u76f8\u4f3c\u6027\u641c\u7d22<\/li>\n\n\n\n
  • \u67e5\u8be2\u9636\u6bb5\uff1a\u5f53\u7528\u6237\u67e5\u8be2\u7cfb\u7edf\u65f6\uff0c\u6839\u636e\u67e5\u8be2\u7684\u8bed\u4e49\u76f8\u4f3c\u6027\u4ece\u5411\u91cf\u7d22\u5f15\u4e2d\u68c0\u7d22\u6700\u76f8\u5173\u7684\u4fe1\u606f\u5757\u3002\u8fd9\u4e9b\u4ee3\u7801\u6bb5\u4e0e\u539f\u59cb\u67e5\u8be2\u4e00\u8d77\u4f20\u9012\u7ed9\u751f\u6210\u6700\u7ec8\u54cd\u5e94\u7684LLM\u901a\u8fc7\u52a8\u6001\u5730\u63d0\u53d6\u76f8\u5173\u4e0a\u4e0b\u6587\uff0cLLM\u53ef\u4ee5\u8f93\u51fa\u6bd4\u4ec5\u4f7f\u7528\u57fa\u672c\u77e5\u8bc6\u66f4\u9ad8\u8d28\u91cf\u3001\u66f4\u771f\u5b9e\u7684\u7b54\u6848\u3002<\/li>\n<\/ul>\n\n\n\n

    LlamaIndex \u62bd\u8c61\u4e86\u6784\u5efa RAG \u7cfb\u7edf\u7684\u5927\u90e8\u5206\u590d\u6742\u6027\u3002\u5b83\u65e2\u63d0\u4f9b\u4e86\u9ad8\u7ea7 API\uff0c\u5141\u8bb8\u60a8\u4ec5\u4ece\u51e0\u884c\u4ee3\u7801\u5f00\u59cb\uff0c\u4e5f\u63d0\u4f9b\u4e86\u7528\u4e8e\u5bf9\u6570\u636e\u7ba1\u9053\u8fdb\u884c\u7ec6\u7c92\u5ea6\u81ea\u5b9a\u4e49\u7684\u4f4e\u7ea7\u6784\u5efa\u57fa\u5757\u3002<\/p>\n\n\n\n

    1.2 \u4f7f\u7528 LlamaIndex \u6784\u5efa\u7b80\u5386\u804a\u5929\u673a\u5668\u4eba<\/strong><\/h2>\n\n\n\n

    \u9996\u5148\uff0c\u5b89\u88c5\u5fc5\u8981\u7684\u8f6f\u4ef6\u5305<\/p>\n\n\n\n

    pip install llama-index openai pypdf<\/pre><\/div>\n\n\n\n
    \u63a5\u4e0b\u6765\uff0c\u52a0\u8f7d\u60a8\u7684\u7b80\u5386 PDF \u5e76\u5efa\u7acb\u7d22\u5f15\uff1a<\/p>\n\n\n\n
    from llama_index import TreeIndex, SimpleDirectoryReader\n \nresume = SimpleDirectoryReader(\"path\/to\/resume\").load_data()\nindex = TreeIndex.from_documents(resume)<\/pre><\/div>\n\n\n\n
    \u73b0\u5728\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u67e5\u8be2\u7d22\u5f15\uff1a<\/p>\n\n\n\n
    query_engine = index.as_query_engine()\nresponse = query_engine.query(\"What is the job title?\")\nprint(response)<\/pre><\/div>\n\n\n\n
    \u67e5\u8be2\u5f15\u64ce\u5c06\u641c\u7d22\u7b80\u5386\u7d22\u5f15\u5e76\u8fd4\u56de\u6700\u76f8\u5173\u7684\u4ee3\u7801\u7247\u6bb5\u4f5c\u4e3a\u54cd\u5e94\uff0c\u4f8b\u5982\u201c\u804c\u4f4d\u540d\u79f0\u662f\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u201d\u3002<\/p>\n\n\n\n
    \u60a8\u8fd8\u53ef\u4ee5\u8fdb\u884c\u6765\u56de\u5bf9\u8bdd\uff1a<\/p>\n\n\n\n
    chat_engine = index.as_chat_engine()\nresponse = chat_engine.chat(\"What did this person do in their last role?\")\nprint(response)\nfollow_up = chat_engine.chat(\"What programming languages did they use?\")\nprint(follow_up)<\/pre><\/div>\n\n\n\n
    \u804a\u5929\u5f15\u64ce\u7ef4\u62a4\u5bf9\u8bdd\u4e0a\u4e0b\u6587\uff0c\u5141\u8bb8\u60a8\u63d0\u51fa\u540e\u7eed\u95ee\u9898\uff0c\u800c\u65e0\u9700\u660e\u786e\u91cd\u8ff0\u4e3b\u9898\u3002<\/p>\n\n\n\n
    \u82e5\u8981\u907f\u514d\u6bcf\u6b21\u90fd\u91cd\u65b0\u751f\u6210\u7d22\u5f15\uff0c\u53ef\u4ee5\u5c06\u5176\u4fdd\u5b58\u5230\u78c1\u76d8\uff1a<\/p>\n\n\n\n
    index.storage_context.persist()<\/pre><\/div>\n\n\n\n
    \u7a0d\u540e\u518d\u52a0\u8f7d\uff1a<\/p>\n\n\n\n
    from llama_index import StorageContext, load_index_from_storage\n \nstorage_context = StorageContext.from_defaults(persist_dir=\".\/storage\")\nindex = load_index_from_storage(storage_context)<\/pre><\/div>\n\n\n\n
    1.3 \u8d85\u8d8a\u804a\u5929\u673a\u5668\u4eba\uff1aLlamaIndex \u7528\u4f8b<\/strong><\/h3>\n\n\n\n
    \u804a\u5929\u673a\u5668\u4eba\u53ea\u662f\u60a8\u53ef\u4ee5\u4f7f\u7528 LlamaIndex \u6784\u5efa\u7684\u4f17\u591a\u5e94\u7528\u7a0b\u5e8f\u4e4b\u4e00\u3002\u5176\u4ed6\u4e00\u4e9b\u4f8b\u5b50\u5305\u62ec\uff1a<\/p>\n\n\n\n
      \n
    • \u957f\u6587\u6863\u95ee\u7b54\uff1a\u6444\u53d6\u624b\u518c\u3001\u6cd5\u5f8b\u5408\u540c\u6216\u7814\u7a76\u8bba\u6587\u7b49\u6587\u6863\uff0c\u5e76\u8be2\u95ee\u6709\u5173\u5176\u5185\u5bb9\u7684\u95ee\u9898<\/li>\n\n\n\n
    • \u4e2a\u6027\u5316\u63a8\u8350\uff1a\u5728\u4ea7\u54c1\u76ee\u5f55\u6216\u5185\u5bb9\u5e93\u4e0a\u6784\u5efa\u7d22\u5f15\uff0c\u5e76\u6839\u636e\u7528\u6237\u67e5\u8be2\u63d0\u4f9b\u5efa\u8bae<\/li>\n\n\n\n
    • \u6570\u636e\u9a71\u52a8\u578b\u4ee3\u7406\uff1a\u521b\u5efa\u53ef\u4ee5\u8bbf\u95ee\u6570\u636e\u5e93\u3001API \u548c\u5176\u4ed6\u5de5\u5177\u5e76\u5bf9\u5176\u6267\u884c\u64cd\u4f5c\u7684 AI \u52a9\u624b\uff0c\u4ee5\u5b8c\u6210\u590d\u6742\u4efb\u52a1<\/li>\n\n\n\n
    • \u77e5\u8bc6\u5e93\u6784\u5efa\uff1a\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u81ea\u52a8\u63d0\u53d6\u5b9e\u4f53\u548c\u5173\u7cfb\u7b49\u7ed3\u6784\u5316\u6570\u636e\uff0c\u6784\u5efa\u77e5\u8bc6\u56fe\u8c31<\/li>\n<\/ul>\n\n\n\n
      LlamaIndex \u63d0\u4f9b\u4e86\u4e00\u4e2a\u7075\u6d3b\u7684\u5de5\u5177\u5305\u6765\u6784\u5efa\u5404\u79cdLLM\u652f\u6301\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u60a8\u53ef\u4ee5\u6df7\u5408\u548c\u5339\u914d\u6570\u636e\u52a0\u8f7d\u5668\u3001\u7d22\u5f15\u3001\u67e5\u8be2\u5f15\u64ce\u3001\u4ee3\u7406\u7b49\uff0c\u4e3a\u60a8\u7684\u7528\u4f8b\u521b\u5efa\u81ea\u5b9a\u4e49\u7ba1\u9053\u3002<\/p>\n\n\n\n
      1.4 LlamaIndex \u5165\u95e8<\/strong><\/h3>\n\n\n\n
      \u8981\u5f00\u59cb\u4f7f\u7528 LlamaIndex \u8fdb\u884c\u6784\u5efa\uff0c\u8bf7\u5148\u5b89\u88c5\u8f6f\u4ef6\u5305\uff1a<\/p>\n\n\n\n
      pip install llama-index<\/pre><\/div>\n\n\n\n
      \u60a8\u8fd8\u9700\u8981\u4e00\u4e2a OpenAI API \u5bc6\u94a5\u6765\u8bbf\u95ee\u9ed8\u8ba4\u7684\u57fa\u7840\u6a21\u578b\u3002\u5c06\u6b64\u8bbe\u7f6e\u4e3a\u73af\u5883\u53d8\u91cf\uff1a<\/p>\n\n\n\n
      import osos.environ[“OPENAI_API_KEY”] = “your_api_key_here”<\/p>\n\n\n\n
      \u4ece\u90a3\u91cc\uff0c\u60a8\u53ef\u4ee5\u5f00\u59cb\u6444\u53d6\u6570\u636e\u548c\u6784\u5efa\u7d22\u5f15\uff01LlamaIndex \u6587\u6863\u4e3a\u5e38\u89c1\u7528\u4f8b\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u6307\u5357\u548c\u793a\u4f8b\u3002<\/p>\n\n\n\n
      \u968f\u7740\u60a8\u6df1\u5165\u7814\u7a76\uff0c\u60a8\u53ef\u4ee5\u63a2\u7d22 Llama Hub – \u793e\u533a\u8d21\u732e\u7684\u6570\u636e\u52a0\u8f7d\u5668\u3001\u7d22\u5f15\u3001\u67e5\u8be2\u5f15\u64ce\u7b49\u7684\u96c6\u5408\u3002\u60a8\u53ef\u4ee5\u5f00\u7bb1\u5373\u7528\u5730\u4f7f\u7528\u8fd9\u4e9b\u63d2\u4ef6\uff0c\u4e5f\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u60a8\u81ea\u5df1\u7684\u81ea\u5b9a\u4e49\u7ec4\u4ef6\u7684\u8d77\u70b9\u3002<\/p>\n\n\n\n
      2. \u4ec0\u4e48\u662fLangChain\uff1f<\/strong><\/h2>\n\n\n\n
      LangChain\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6846\u67b6\uff0c\u7528\u4e8e\u5f00\u53d1\u7531\u8bed\u8a00\u6a21\u578b\u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u5b83\u4f7f\u4f60\u80fd\u591f\u8f7b\u677e\u5730\u5c06\u81ea\u5df1\u7684\u6570\u636e\u8fde\u63a5\u5230LLMs\u5e76\u6784\u5efa\u6570\u636e\u611f\u77e5\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u7a0b\u5e8f\u3002LangChain\u4e3a\u94fe\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6807\u51c6\u63a5\u53e3\uff0c\u4e0e\u5176\u4ed6\u5de5\u5177\u7684\u5927\u91cf\u96c6\u6210\uff0c\u4ee5\u53ca\u4e3a\u5e38\u89c1\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u7684\u7aef\u5230\u7aef\u94fe\u3002<\/p>\n\n\n\n
      \u4f7f\u7528 LangChain\uff0c\u60a8\u53ef\u4ee5\u4ece\u6587\u6863\u3001\u6570\u636e\u5e93\u3001API \u548c\u77e5\u8bc6\u5e93\u7b49\u5404\u79cd\u6765\u6e90\u52a0\u8f7d\u6570\u636e\u3002\u7136\u540e\uff0c\u5728\u63a8\u7406\u671f\u95f4\u53ef\u4ee5LLMs\u8bbf\u95ee\u8fd9\u4e9b\u79c1\u6709\u6570\u636e\uff0c\u4f7f\u4ed6\u4eec\u80fd\u591f\u5229\u7528\u8be5\u4e0a\u4e0b\u6587\u6765\u63d0\u4f9b\u660e\u667a\u7684\u76f8\u5173\u54cd\u5e94\u3002\u65e0\u8bba\u60a8\u662f\u60f3\u5728\u516c\u53f8\u7684\u6587\u6863\u4e0a\u6784\u5efa\u804a\u5929\u673a\u5668\u4eba\u3001\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u8fd8\u662f\u4e0e\u60a8\u7684\u6570\u636e\u5e93\u548c API \u4ea4\u4e92\u7684 AI \u52a9\u624b\uff0cLangChain \u90fd\u80fd\u5b9e\u73b0\u3002<\/p>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      2.1 LangChain\u5982\u4f55\u8fd0\u4f5c<\/strong><\/h3>\n\n\n\n
      LangChain\u7684\u6838\u5fc3\u662f\u56f4\u7ed5\u51e0\u4e2a\u5173\u952e\u6982\u5ff5\u8bbe\u8ba1\u7684\uff1a<\/p>\n\n\n\n
        \n
      • \u63d0\u793a(Prompts)\uff1a\u63d0\u793a\u662f\u60a8\u63d0\u4f9b\u7ed9\u8bed\u8a00\u6a21\u578b\u4ee5\u5f15\u5bfc\u5176\u8f93\u51fa\u7684\u6307\u4ee4\u3002LangChain\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6807\u51c6\u63a5\u53e3\uff0c\u7528\u4e8e\u6784\u5efa\u548c\u5904\u7406\u63d0\u793a\u3002<\/li>\n\n\n\n
      • \u6a21\u578b(Models)\uff1aLangChain\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6807\u51c6\u63a5\u53e3\uff0c\u7528\u4e8e\u5904\u7406\u4e0d\u540c\u7684LLMs\u6a21\u578b\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u79cd\u5728\u5b83\u4eec\u4e4b\u95f4\u5207\u6362\u7684\u7b80\u5355\u65b9\u6cd5\u3002\u5b83\u652f\u6301 OpenAI \u7684 GPT-3\u3001Anthropic \u7684 Claude\u3001Cohere \u7684\u6a21\u578b\u7b49\u6a21\u578b\u3002<\/li>\n\n\n\n
      • \u7d22\u5f15(Indexes)\uff1a\u7d22\u5f15\u662f\u6307\u6587\u672c\u6570\u636e\u7684\u5b58\u50a8\u65b9\u5f0f\uff0c\u4ee5\u53ca\u8bed\u8a00\u6a21\u578b\u7684\u8bbf\u95ee\u65b9\u5f0f\u3002LangChain \u63d0\u4f9b\u4e86\u51e0\u79cd\u9488\u5bf9 LLMs\u4f18\u5316\u7684\u7d22\u5f15\u6280\u672f\uff0c\u4f8b\u5982\u5185\u5b58\u5411\u91cf\u5b58\u50a8\u548c\u5d4c\u5165\u3002<\/li>\n\n\n\n
      • \u94fe(Chains)\uff1a\u94fe\u662f\u5bf9\u5de5\u5177\u548c\u5176\u4ed6\u5de5\u5177\u7684\u8c03\u7528LLMs\u5e8f\u5217\uff0c\u4e00\u4e2a\u6b65\u9aa4\u7684\u8f93\u51fa\u662f\u4e0b\u4e00\u4e2a\u6b65\u9aa4\u7684\u8f93\u5165\u3002LangChain\u4e3a\u94fe\u548c\u8bb8\u591a\u53ef\u91cd\u7528\u7684\u7ec4\u4ef6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6807\u51c6\u63a5\u53e3\u3002<\/li>\n\n\n\n
      • \u4ee3\u7406(Agents)\uff1a\u4ee3\u7406\u4f7f\u7528 an LLM \u6765\u786e\u5b9a\u8981\u6267\u884c\u54ea\u4e9b\u64cd\u4f5c\u4ee5\u53ca\u4ee5\u4ec0\u4e48\u987a\u5e8f\u6267\u884c\u3002LangChain\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u53ef\u4ee5\u5229\u7528\u5de5\u5177\u5b8c\u6210\u4efb\u52a1\u7684\u4ee3\u7406\u3002<\/li>\n<\/ul>\n\n\n\n
        \u4f7f\u7528\u8fd9\u4e9b\u6784\u5efa\u57fa\u5757\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa\u5404\u79cd\u529f\u80fd\u5f3a\u5927\u7684\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u7a0b\u5e8f\u3002LangChain\u62bd\u8c61\u51fa\u8bb8\u591a\u590d\u6742\u6027\uff0c\u4f7f\u4f60\u80fd\u591f\u4e13\u6ce8\u4e8e\u5e94\u7528\u7a0b\u5e8f\u7684\u9ad8\u7ea7\u903b\u8f91\u3002<\/p>\n\n\n\n
        2.2 \u4f7f\u7528LangChain\u6784\u5efa\u95ee\u7b54\u7cfb\u7edf<\/strong><\/h3>\n\n\n\n
        \u4e3a\u4e86\u8bf4\u660eLangChain\u7684\u529f\u80fd\uff0c\u8ba9\u6211\u4eec\u5728\u4e00\u7ec4\u6587\u6863\u4e0a\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u95ee\u7b54\u7cfb\u7edf\u3002<\/p>\n\n\n\n
        \u9996\u5148\uff0c\u5b89\u88c5\u5fc5\u8981\u7684\u8f6f\u4ef6\u5305\uff1a<\/p>\n\n\n\n
        pip install langchain openai faiss-cpu<\/pre><\/div>\n\n\n\n
        \u63a5\u4e0b\u6765\uff0c\u52a0\u8f7d\u6570\u636e\u5e76\u521b\u5efa\u7d22\u5f15\uff1a<\/p>\n\n\n\n
        from langchain.document_loaders import TextLoader\nfrom langchain.indexes import VectorstoreIndexCreator\n \nloader = TextLoader('path\/to\/document.txt')  \nindex = VectorstoreIndexCreator().from_loaders([loader])<\/pre><\/div>\n\n\n\n
        \u73b0\u5728\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u67e5\u8be2\u7d22\u5f15\uff1a<\/p>\n\n\n\n
        query = \"What is the main topic of this document?\"\nresult = index.query(query)\nprint(result)<\/pre><\/div>\n\n\n\n
        \u67e5\u8be2\u5c06\u641c\u7d22\u6587\u6863\u5e76\u8fd4\u56de\u6700\u76f8\u5173\u7684\u4ee3\u7801\u7247\u6bb5\u4f5c\u4e3a\u54cd\u5e94\u3002<\/p>\n\n\n\n
        \u8fd8\u53ef\u4ee5\u4f7f\u7528 ConversationalRetrievalChain \u4e0e\u6570\u636e\u8fdb\u884c\u5bf9\u8bdd\uff1a<\/p>\n\n\n\n
        from langchain.chains import ConversationalRetrievalChain\nfrom langchain.chat_models import ChatOpenAI\n \nmodel = ChatOpenAI(temperature=0)\nqa = ConversationalRetrievalChain.from_llm(model,retriever=index.vectorstore.as_retriever())\n \nchat_history = []\nwhile True:\n    query = input(\"Human: \")\n    result = qa({\"question\": query, \"chat_history\": chat_history})\n    chat_history.append((query, result['answer']))\n    print(f\"Assistant: {result['answer']}\")<\/pre><\/div>\n\n\n\n
        \u8fd9\u5141\u8bb8\u6765\u56de\u5bf9\u8bdd\uff0c\u6a21\u578b\u53ef\u4ee5\u4ece\u6587\u6863\u4e2d\u8bbf\u95ee\u76f8\u5173\u4e0a\u4e0b\u6587\u3002<\/p>\n\n\n\n
        2.3 \u8d85\u8d8a\u95ee\u7b54\uff1aLangChain\u4f7f\u7528\u6848\u4f8b<\/strong><\/h3>\n\n\n\n
        \u95ee\u7b54\u53ea\u662f\u60a8\u53ef\u4ee5\u4f7f\u7528LangChain\u6784\u5efa\u7684\u4f17\u591a\u5e94\u7528\u7a0b\u5e8f\u4e4b\u4e00\u3002\u5176\u4ed6\u4e00\u4e9b\u4f8b\u5b50\u5305\u62ec\uff1a<\/p>\n\n\n\n
          \n
        • \u804a\u5929\u673a\u5668\u4eba\uff1a\u521b\u5efa\u5bf9\u8bdd\u4ee3\u7406\uff0c\u5728\u5229\u7528\u79c1\u4eba\u6570\u636e\u7684\u540c\u65f6\u8fdb\u884c\u81ea\u7531\u5f62\u5f0f\u7684\u5bf9\u8bdd<\/li>\n\n\n\n
        • \u6570\u636e\u5206\u6790\uff1a\u8fde\u63a5 LLMs SQL \u6570\u636e\u5e93\u3001pandas \u6570\u636e\u5e27\u548c\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u8fdb\u884c\u4ea4\u4e92\u5f0f\u6570\u636e\u63a2\u7d22<\/li>\n\n\n\n
        • \u4ee3\u7406\uff1a\u5f00\u53d1\u53ef\u4ee5\u4f7f\u7528 Web \u6d4f\u89c8\u5668\u3001API \u548c\u8ba1\u7b97\u5668\u7b49\u5de5\u5177\u5b8c\u6210\u5f00\u653e\u5f0f\u4efb\u52a1\u7684 AI \u4ee3\u7406<\/li>\n\n\n\n
        • \u5e94\u7528\u751f\u6210\uff1a\u6839\u636e\u81ea\u7136\u8bed\u8a00\u89c4\u8303\u81ea\u52a8\u751f\u6210\u6574\u4e2a\u5e94\u7528<\/li>\n<\/ul>\n\n\n\n
          LangChain\u63d0\u4f9b\u4e86\u4e00\u7ec4\u7075\u6d3b\u7684\u7ec4\u4ef6\uff0c\u53ef\u4ee5\u4ee5\u65e0\u6570\u79cd\u65b9\u5f0f\u7ec4\u5408\u4ee5\u521b\u5efa\u5f3a\u5927\u7684\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u7a0b\u5e8f\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u94fe\u548c\u4ee3\u7406\uff0c\u4e5f\u53ef\u4ee5\u521b\u5efa\u81ea\u5df1\u7684\u81ea\u5b9a\u4e49\u7ba1\u9053\u3002<\/p>\n\n\n\n
          2.4 LangChain\u5165\u95e8<\/strong><\/h3>\n\n\n\n
          \u8981\u5f00\u59cb\u4f7f\u7528 LangChain \u8fdb\u884c\u6784\u5efa\uff0c\u8bf7\u5148\u5b89\u88c5\u8f6f\u4ef6\u5305\uff1a<\/p>\n\n\n\n
          pip install langchain<\/pre><\/div>\n\n\n\n
          \u60a8\u8fd8\u9700\u8981\u4e3a\u8981\u4f7f\u7528\u7684\u6a21\u578b\u548c\u5de5\u5177\u8bbe\u7f6e\u4efb\u4f55\u5fc5\u8981\u7684 API \u5bc6\u94a5\u3002\u4f8b\u5982\uff0c\u8981\u4f7f\u7528 OpenAI \u7684\u6a21\u578b\uff1a<\/p>\n\n\n\n
          import os\nos.environ[\"OPENAI_API_KEY\"] = \"your_api_key_here\"<\/pre><\/div>\n\n\n\n
          \u4ece\u90a3\u91cc\uff0c\u60a8\u53ef\u4ee5\u5f00\u59cb\u52a0\u8f7d\u6570\u636e\u3001\u521b\u5efa\u94fe\u548c\u6784\u5efa\u5e94\u7528\u7a0b\u5e8f\uff01LangChain\u6587\u6863\u4e3a\u5404\u79cd\u7528\u4f8b\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u6307\u5357\u548c\u793a\u4f8b\u3002<\/p>\n\n\n\n
          \u968f\u7740\u60a8\u6df1\u5165\u7814\u7a76\uff0c\u60a8\u53ef\u4ee5\u63a2\u7d22\u4e0d\u65ad\u53d1\u5c55\u7684LangChain\u96c6\u6210\u548c\u6269\u5c55\u751f\u6001\u7cfb\u7edf\u3002\u8be5\u793e\u533a\u5df2\u7ecf\u4e3a\u65e0\u6570\u6570\u636e\u6e90\u3001\u5de5\u5177\u548c\u6846\u67b6\u6784\u5efa\u4e86\u8fde\u63a5\u5668\uff0c\u4f7f\u5176\u6613\u4e8e\u6574\u5408LLMs\u5230\u4efb\u4f55\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u3002<\/p>\n\n\n\n
          3. LlamaIndex \u4e0e LangChain \u7684\u6700\u4f73\u7528\u4f8b<\/strong><\/h2>\n\n\n\n
          3.1 LlamaIndex<\/strong><\/h3>\n\n\n\n
            \n
          • \u6784\u5efa\u641c\u7d22\u5f15\u64ce\u548c\u4fe1\u606f\u68c0\u7d22\u7cfb\u7edf<\/li>\n\n\n\n
          • \u521b\u5efa\u77e5\u8bc6\u5e93\u548c\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\u673a\u5668\u4eba<\/li>\n\n\n\n
          • \u5206\u6790\u548c\u6c47\u603b\u5927\u578b\u6587\u6863\u96c6\u5408<\/li>\n\n\n\n
          • \u542f\u7528\u5bf9\u8bdd\u641c\u7d22\u548c\u95ee\u7b54<\/li>\n<\/ul>\n\n\n\n
            3.2 LangChain<\/strong><\/h3>\n\n\n\n
              \n
            • \u5f00\u53d1\u804a\u5929\u673a\u5668\u4eba\u548c\u5bf9\u8bdd\u4ee3\u7406<\/li>\n\n\n\n
            • \u6784\u5efa\u81ea\u5b9a\u4e49 NLP \u7ba1\u9053\u548c\u5de5\u4f5c\u6d41<\/li>\n\n\n\n
            • \u4e0e\u5916\u90e8\u6570\u636e\u6e90\u548c API \u96c6\u6210LLMs<\/li>\n\n\n\n
            • \u5c1d\u8bd5\u4e0d\u540c\u7684\u63d0\u793a\u3001\u5185\u5b58\u548c\u4ee3\u7406\u914d\u7f6e<\/li>\n\n\n\n
            • <\/li>\n<\/ul>\n\n\n\n
              4. LlamaIndex vs LangChain\uff1a\u9009\u62e9\u6b63\u786e\u7684\u6846\u67b6<\/strong><\/h2>\n\n\n\n
              \u5728 LlamaIndex \u548c LangChain \u4e4b\u95f4\u505a\u51fa\u51b3\u5b9a\u65f6\uff0c\u8bf7\u8003\u8651\u4ee5\u4e0b\u56e0\u7d20\uff1a<\/p>\n\n\n\n
                \n
              • \u9879\u76ee\u8981\u6c42\uff1a\u5982\u679c\u60a8\u7684\u5e94\u7528\u7a0b\u5e8f\u4e3b\u8981\u4fa7\u91cd\u4e8e\u641c\u7d22\u548c\u68c0\u7d22\uff0c\u5219 LlamaIndex \u53ef\u80fd\u66f4\u9002\u5408\u3002\u5bf9\u4e8e\u66f4\u591a\u6837\u5316\u7684 NLP \u4efb\u52a1\u548c\u81ea\u5b9a\u4e49\u5de5\u4f5c\u6d41\u7a0b\uff0cLangChain \u63d0\u4f9b\u4e86\u66f4\u5927\u7684\u7075\u6d3b\u6027\u3002<\/li>\n\n\n\n
              • \u6613\u7528\u6027\uff1aLlamaIndex \u63d0\u4f9b\u4e86\u4e00\u4e2a\u66f4\u7cbe\u7b80\u3001\u66f4\u9002\u5408\u521d\u5b66\u8005\u7684\u754c\u9762\uff0c\u800c LangChain \u9700\u8981\u66f4\u6df1\u5165\u5730\u4e86\u89e3 NLP \u6982\u5ff5\u548c\u7ec4\u4ef6\u3002<\/li>\n\n\n\n
              • \u5b9a\u5236\uff1aLangChain\u7684\u6a21\u5757\u5316\u67b6\u6784\u5141\u8bb8\u5e7f\u6cdb\u7684\u5b9a\u5236\u548c\u5fae\u8c03\uff0c\u800cLlamaIndex\u5219\u63d0\u4f9b\u4e86\u4e00\u79cd\u9488\u5bf9\u641c\u7d22\u548c\u68c0\u7d22\u4f18\u5316\u7684\u66f4\u81ea\u4ee5\u4e3a\u662f\u7684\u65b9\u6cd5\u3002<\/li>\n\n\n\n
              • \u751f\u6001\u7cfb\u7edf\u548c\u793e\u533a\uff1a\u8fd9\u4e24\u4e2a\u6846\u67b6\u90fd\u6709\u6d3b\u8dc3\u7684\u793e\u533a\u548c\u4e0d\u65ad\u53d1\u5c55\u7684\u751f\u6001\u7cfb\u7edf\u3002\u8003\u8651\u6d4f\u89c8\u4ed6\u4eec\u7684\u6587\u6863\u3001\u793a\u4f8b\u548c\u793e\u533a\u8d44\u6e90\uff0c\u4ee5\u8861\u91cf\u53ef\u7528\u652f\u6301\u548c\u8d44\u6e90\u7684\u6c34\u5e73\u3002<\/li>\n\n\n\n
              • <\/li>\n<\/ul>\n\n\n\n
                5. \u7ed3\u8bba<\/strong><\/h2>\n\n\n\n
                LlamaIndex \u548c LangChain \u662f\u7528\u4e8e\u6784\u5efaLLM\u652f\u6301\u5e94\u7528\u7a0b\u5e8f\u7684\u5f3a\u5927\u6846\u67b6\uff0c\u6bcf\u4e2a\u6846\u67b6\u90fd\u6709\u81ea\u5df1\u7684\u4f18\u52bf\u548c\u91cd\u70b9\u9886\u57df\u3002LlamaIndex \u5728\u641c\u7d22\u548c\u68c0\u7d22\u4efb\u52a1\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u63d0\u4f9b\u7b80\u5316\u7684\u6570\u636e\u7d22\u5f15\u548c\u67e5\u8be2\u529f\u80fd\u3002\u53e6\u4e00\u65b9\u9762\uff0cLangChain\u91c7\u7528\u6a21\u5757\u5316\u65b9\u6cd5\uff0c\u4e3a\u6784\u5efa\u5404\u79cdNLP\u5e94\u7528\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u5957\u7075\u6d3b\u7684\u5de5\u5177\u548c\u7ec4\u4ef6\u3002<\/p>\n\n\n\n
                \u5728\u4e24\u8005\u4e4b\u95f4\u8fdb\u884c\u9009\u62e9\u65f6\uff0c\u8bf7\u8003\u8651\u60a8\u7684\u9879\u76ee\u8981\u6c42\u3001\u6613\u7528\u6027\u3001\u5b9a\u5236\u9700\u6c42\u4ee5\u53ca\u5404\u81ea\u793e\u533a\u63d0\u4f9b\u7684\u652f\u6301\u3002\u65e0\u8bba\u60a8\u7684\u9009\u62e9\u5982\u4f55\uff0cLlamaIndex \u548c LangChain \u90fd\u4f7f\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u6f5c\u529b\u5e76\u521b\u5efa\u521b\u65b0\u7684 NLP \u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n\n\n\n
                \u5f53\u60a8\u8e0f\u4e0aLLM\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u4e4b\u65c5\u65f6\uff0c\u8bf7\u6beb\u4e0d\u72b9\u8c6b\u5730\u63a2\u7d22\u8fd9\u4e24\u4e2a\u6846\u67b6\uff0c\u5c1d\u8bd5\u5b83\u4eec\u7684\u529f\u80fd\uff0c\u5e76\u5229\u7528\u5b83\u4eec\u7684\u4f18\u52bf\u6765\u6784\u5efa\u5f3a\u5927\u4e14\u5f15\u4eba\u5165\u80dc\u7684\u81ea\u7136\u8bed\u8a00\u4f53\u9a8c\u3002<\/p>\n\n\n\n
                <\/p>\n","protected":false},"excerpt":{"rendered":"
                LlamaIndex\u548cLangChain\u90fd\u662f\u7528\u4e8e\u5f00\u53d1\u7531\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\uff0c\u4f46\u5b83\u4eec\u5404\u81ea\u4fa7 […]<\/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":"","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":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[313,289,443,442,312],"tags":[424,423,422],"class_list":["post-2902","post","type-post","status-publish","format-standard","hentry","category-chatgpt","category-gpt","category-llm","category-llms","category-openai","tag-langchain","tag-llamaindex","tag-rag"],"views":4671,"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2902","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2902"}],"version-history":[{"count":6,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2902\/revisions"}],"predecessor-version":[{"id":2913,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2902\/revisions\/2913"}],"wp:attachment":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}