{"id":549162,"date":"2025-02-26T03:01:00","date_gmt":"2025-02-26T02:01:00","guid":{"rendered":"https:\/\/blog.jetbrains.com\/?post_type=pycharm&#038;p=549162"},"modified":"2025-02-25T11:18:04","modified_gmt":"2025-02-25T10:18:04","slug":"how-to-build-chatbots-with-langchain","status":"publish","type":"pycharm","link":"https:\/\/blog.jetbrains.com\/zh-hans\/pycharm\/2025\/02\/how-to-build-chatbots-with-langchain\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 LangChain \u6784\u5efa\u804a\u5929\u673a\u5668\u4eba"},"content":{"rendered":"<p><em>\u672c\u6587\u662f\u6df1\u5ea6\u5b66\u4e60\u5de5\u7a0b\u5e08\u517c Python \u7a0b\u5e8f\u5458 <a href=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/08\/how-to-build-chatbots-with-langchain\/#author\" data-type=\"link\" data-id=\"https:\/\/blog.jetbrains.com\/pycharm\/2024\/08\/how-to-build-chatbots-with-langchain\/#author\">Dido Grigorov<\/a> \u64b0\u5199\u7684\u5ba2\u5ea7\u6587\u7ae0\uff0c\u4ed6\u5728\u4e1a\u754c\u62e5\u6709 17 \u5e74\u7ecf\u9a8c\u3002<\/em><\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-549239 size-full\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/02\/pc-featured_blog_1280x720_en-4.png\" alt=\"\" width=\"2560\" height=\"1440\" \/><\/figure>\n<p>\u804a\u5929\u673a\u5668\u4eba\u7684\u53d1\u5c55\u5df2\u7ecf\u8fdc\u8fdc\u8d85\u51fa\u5355\u7eaf\u95ee\u7b54\u5de5\u5177\u7684\u8303\u7574\u3002 \u501f\u52a9\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u5f3a\u5927\u529f\u80fd\uff0c\u5b83\u4eec\u53ef\u4ee5\u7406\u89e3\u5bf9\u8bdd\u4e0a\u4e0b\u6587\u5e76\u751f\u6210\u7c7b\u4f3c\u4eba\u7c7b\u7684\u56de\u590d\uff0c\u56e0\u6b64\u5bf9\u4e8e\u5ba2\u6237\u652f\u6301\u5e94\u7528\u7a0b\u5e8f\u548c\u5176\u4ed6\u7c7b\u578b\u7684\u865a\u62df\u8f85\u52a9\u975e\u5e38\u6709\u7528\u3002\u00a0<\/p>\n<p>LangChain \u662f\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u901a\u8fc7\u4e3a\u65e0\u7f1d\u6a21\u578b\u96c6\u6210\u3001\u4e0a\u4e0b\u6587\u7ba1\u7406\u548c\u63d0\u793a\u5de5\u7a0b\u63d0\u4f9b\u5de5\u5177\uff0c\u7b80\u5316\u4e86\u6784\u5efa\u8fd9\u4e9b\u5bf9\u8bdd\u5f0f\u804a\u5929\u673a\u5668\u4eba\u7684\u8fc7\u7a0b\u3002<\/p>\n<p>\u5728\u8fd9\u7bc7\u535a\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8 LangChain \u7684\u8fd0\u4f5c\u65b9\u5f0f\u4ee5\u53ca\u804a\u5929\u673a\u5668\u4eba\u4e0e LLM \u7684\u4ea4\u4e92\u65b9\u5f0f\u3002 \u6211\u4eec\u8fd8\u5c06\u9010\u6b65\u6307\u5bfc\u60a8\u6784\u5efa\u4e00\u4e2a\u4e0a\u4e0b\u6587\u611f\u77e5\u804a\u5929\u673a\u5668\u4eba\uff0c\u8fd9\u4e2a\u804a\u5929\u673a\u5668\u4eba\u4f7f\u7528 LangChain \u548c GPT-3 \u63d0\u4f9b\u51c6\u786e\u3001\u76f8\u5173\u7684\u56de\u7b54\u3002<\/p>\n<p><!--more--><\/p>\n<h2 class=\"wp-block-heading\"><strong>\u4ec0\u4e48\u662f <\/strong>LLM<strong> \u9886\u57df\u4e2d\u7684\u804a\u5929\u673a\u5668\u4eba\uff1f<\/strong><\/h2>\n<p>LLM \u9886\u57df\u4e2d\u7684\u804a\u5929\u673a\u5668\u4eba\u662f\u901a\u8fc7\u6587\u672c\u6216\u8bed\u97f3\u63a5\u53e3\u6a21\u62df\u4e0e\u7528\u6237\u8fdb\u884c\u7c7b\u4f3c\u4eba\u7c7b\u5bf9\u8bdd\u7684\u5c16\u7aef\u8f6f\u4ef6\u3002 \u8fd9\u4e9b\u804a\u5929\u673a\u5668\u4eba\u5229\u7528\u4e86 LLM \u7684\u9ad8\u7ea7\u529f\u80fd\uff0cLLM \u662f\u4f7f\u7528\u5927\u91cf\u6587\u672c\u6570\u636e\u8bad\u7ec3\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u53ef\u5bf9\u5404\u79cd\u8f93\u5165\u63d0\u793a\u505a\u51fa\u7c7b\u4f3c\u4eba\u7c7b\u7684\u56de\u7b54\u3002<\/p>\n<p>\u57fa\u4e8e LLM \u7684\u804a\u5929\u673a\u5668\u4eba\u5728\u751f\u6210\u56de\u7b54\u65f6\u53ef\u4ee5\u8003\u8651\u5bf9\u8bdd\u7684\u4e0a\u4e0b\u6587\u3002 \u8fd9\u610f\u5473\u7740\u5b83\u4eec\u53ef\u4ee5\u5728\u591a\u6bb5\u5bf9\u8bdd\u4e2d\u4fdd\u6301\u4e00\u81f4\uff0c\u5e76\u4e14\u53ef\u4ee5\u5904\u7406\u590d\u6742\u7684\u67e5\u8be2\u4ee5\u751f\u6210\u7b26\u5408\u7528\u6237\u610f\u56fe\u7684\u8f93\u51fa\u3002 \u6b64\u5916\uff0c\u8fd9\u4e9b\u804a\u5929\u673a\u5668\u4eba\u8fd8\u80fd\u8bc4\u4f30\u7528\u6237\u8f93\u5165\u7684\u60c5\u611f\u57fa\u8c03\uff0c\u5e76\u6839\u636e\u7528\u6237\u7684\u60c5\u7eea\u8c03\u6574\u56de\u7b54\u3002<\/p>\n<p>\u804a\u5929\u673a\u5668\u4eba\u5177\u6709\u5f88\u5f3a\u7684\u9002\u5e94\u80fd\u529b\u548c\u5f88\u9ad8\u7684\u4e2a\u6027\u5316\u7a0b\u5ea6\u3002 \u5b83\u4eec\u4ece\u7528\u6237\u4ea4\u4e92\u4e2d\u5b66\u4e60\uff0c\u6839\u636e\u7528\u6237\u4e2a\u4eba\u559c\u597d\u548c\u9700\u6c42\u8c03\u6574\u548c\u6539\u8fdb\u56de\u7b54\u3002\u00a0<\/p>\n<h2 class=\"wp-block-heading\"><strong>\u4ec0\u4e48\u662f LangChain\uff1f<\/strong><\/h2>\n<p>LangChain \u662f\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u7528\u4e8e\u521b\u5efa\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u5e94\u7528\u3002 \u5b83\u9644\u5e26\u5de5\u5177\u548c\u62bd\u8c61\uff0c\u4ee5\u66f4\u597d\u5730\u4e2a\u6027\u5316\u8fd9\u4e9b\u6a21\u578b\u751f\u6210\u7684\u4fe1\u606f\uff0c\u540c\u65f6\u4fdd\u6301\u51c6\u786e\u6027\u548c\u76f8\u5173\u6027\u3002\u00a0<\/p>\n<p>\u9605\u8bfb LLM \u76f8\u5173\u6587\u7ae0\u65f6\uff0c\u60a8\u7ecf\u5e38\u4f1a\u770b\u5230\u201c\u63d0\u793a\u94fe\u201d\u8fd9\u4e2a\u672f\u8bed\u3002 \u63d0\u793a\u94fe\u662f\u6307\u5728\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u4e2d\u4f7f\u7528\u7684\u4e00\u7cfb\u5217\u63d0\u793a\u6216\u6307\u4ee4\uff0c\u76ee\u7684\u662f\u5f15\u5bfc AI \u6a21\u578b\u901a\u8fc7\u591a\u6b65\u9aa4\u6d41\u7a0b\u751f\u6210\u66f4\u51c6\u786e\u3001\u66f4\u8be6\u7ec6\u6216\u66f4\u7cbe\u7ec6\u7684\u8f93\u51fa\u3002 \u8fd9\u79cd\u65b9\u6cd5\u53ef\u7528\u4e8e\u5404\u79cd\u4efb\u52a1\uff0c\u4f8b\u5982\u5199\u4f5c\u3001\u95ee\u9898\u89e3\u51b3\u6216\u4ee3\u7801\u751f\u6210\u3002\u00a0<\/p>\n<p>\u5f00\u53d1\u8005\u53ef\u4ee5\u4f7f\u7528 LangChain \u521b\u5efa\u65b0\u7684\u63d0\u793a\u94fe\uff0c\u8fd9\u662f\u8be5\u6846\u67b6\u6700\u5f3a\u5927\u7684\u529f\u80fd\u4e4b\u4e00\u3002 \u4ed6\u4eec\u751a\u81f3\u53ef\u4ee5\u4fee\u6539\u73b0\u6709\u63d0\u793a\u6a21\u677f\uff0c\u65e0\u9700\u5728\u4f7f\u7528\u65b0\u6570\u636e\u96c6\u65f6\u518d\u6b21\u8bad\u7ec3\u6a21\u578b\u3002<\/p>\n<h2 class=\"wp-block-heading\"><strong>LangChain \u5982\u4f55\u8fd0\u4f5c\uff1f<\/strong><\/h2>\n<p>LangChain \u6846\u67b6\u65e8\u5728\u7b80\u5316\u5229\u7528\u8bed\u8a00\u6a21\u578b\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u5f00\u53d1\u3002 \u5b83\u63d0\u4f9b\u4e86\u4e00\u5957\u5de5\u5177\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u6709\u6548\u6784\u5efa\u548c\u7ba1\u7406\u6d89\u53ca\u81ea\u7136\u8bed\u8a00\u5904\u7406 (NLP) \u548c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5e94\u7528\u7a0b\u5e8f\u3002 \u901a\u8fc7\u5b9a\u4e49\u5b9e\u73b0\u9884\u671f\u7ed3\u679c\uff08\u53ef\u4ee5\u662f\u804a\u5929\u673a\u5668\u4eba\u3001\u4efb\u52a1\u81ea\u52a8\u5316\u3001\u865a\u62df\u52a9\u624b\u3001\u5ba2\u6237\u652f\u6301\u7b49\uff09\u6240\u9700\u7684\u6b65\u9aa4\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u4f7f\u7528 LangChain \u7075\u6d3b\u8c03\u6574\u8bed\u8a00\u6a21\u578b\uff0c\u9002\u5e94\u5177\u4f53\u4e1a\u52a1\u73af\u5883\u3002\u00a0<\/p>\n<p>\u4ee5\u4e0b\u662f LangChain \u8fd0\u4f5c\u65b9\u5f0f\u7684\u603b\u4f53\u6982\u89c8\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u6a21\u578b\u96c6\u6210<\/strong><\/h3>\n<p>LangChain \u652f\u6301\u591a\u79cd\u8bed\u8a00\u6a21\u578b\uff0c\u5305\u62ec <em>OpenAI\u3001Hugging Face\u3001Cohere\u3001Anyscale\u3001Azure Models\u3001Databricks\u3001Ollama\u3001Llama\u3001GPT4All\u3001Spacy\u3001Pinecone\u3001AWS Bedrock\u3001MistralAI<\/em> \u7b49\u3002 \u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u4e0d\u540c\u6a21\u578b\u4e4b\u95f4\u8f7b\u677e\u5207\u6362\uff0c\u4e5f\u53ef\u4ee5\u5728\u4e00\u4e2a\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u591a\u4e2a\u6a21\u578b\u3002 \u4ed6\u4eec\u53ef\u4ee5\u6784\u5efa\u5b9a\u5236\u5f00\u53d1\u7684\u6a21\u578b\u96c6\u6210\u89e3\u51b3\u65b9\u6848\uff0c\u5229\u7528\u9488\u5bf9\u5176\u5177\u4f53\u5e94\u7528\u7a0b\u5e8f\u5b9a\u5236\u7684\u7279\u5b9a\u529f\u80fd\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u94fe<\/strong><\/h3>\n<p>LangChain \u7684\u6838\u5fc3\u6982\u5ff5\u662f<strong>\u94fe<\/strong>\uff0c\u5b83\u5c06\u4e0d\u540c\u7684 AI \u7ec4\u4ef6\u6574\u5408\u5728\u4e00\u8d77\uff0c\u5b9e\u73b0\u4e0a\u4e0b\u6587\u611f\u77e5\u56de\u7b54\u3002 \u94fe\u4ee3\u8868\u7528\u6237\u63d0\u793a\u548c\u6700\u7ec8\u6a21\u578b\u8f93\u51fa\u4e4b\u95f4\u7684\u4e00\u7ec4\u81ea\u52a8\u5316\u64cd\u4f5c\u3002 LangChain \u63d0\u4f9b\u4e86\u4e24\u79cd\u7c7b\u578b\u7684\u94fe\uff1a<\/p>\n<ul>\n<li><strong>\u5e8f\u5217\u94fe<\/strong>\uff1a\u8fd9\u4e9b\u94fe\u4f7f\u4e00\u4e2a\u6a21\u578b\u6216\u51fd\u6570\u7684\u8f93\u51fa\u53ef\u4ee5\u7528\u4f5c\u53e6\u4e00\u4e2a\u6a21\u578b\u6216\u51fd\u6570\u7684\u8f93\u5165\u3002 \u8fd9\u5bf9\u4e8e\u5236\u4f5c\u76f8\u4e92\u4f9d\u8d56\u7684\u591a\u6b65\u9aa4\u6d41\u7a0b\u7279\u522b\u6709\u7528\u3002<\/li>\n<li><strong>\u5e76\u884c\u94fe<\/strong>\uff1a\u5b83\u652f\u6301\u540c\u65f6\u8fd0\u884c\u591a\u4e2a\u4efb\u52a1\uff0c\u5e76\u5728\u6700\u540e\u5408\u5e76\u8f93\u51fa\u3002 \u975e\u5e38\u9002\u5408\u6267\u884c\u53ef\u4ee5\u5206\u4e3a\u5b8c\u5168\u72ec\u7acb\u7684\u5b50\u4efb\u52a1\u7684\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>\u5185\u5b58<\/strong><\/h3>\n<p>LangChain \u80fd\u591f\u4fc3\u8fdb\u5404\u79cd\u4ea4\u4e92\u4e2d\u4fe1\u606f\u7684\u5b58\u50a8\u548c\u68c0\u7d22\u3002 \u5728\u9700\u8981\u6301\u4e45\u4fdd\u5b58\u4e0a\u4e0b\u6587\u65f6\uff0c\u4f8b\u5982\u5728\u804a\u5929\u673a\u5668\u4eba\u6216\u4ea4\u4e92\u5f0f\u4ee3\u7406\u4e2d\uff0c\u8fd9\u4e00\u70b9\u81f3\u5173\u91cd\u8981\u3002 \u53e6\u5916\u8fd8\u63d0\u4f9b\u4e24\u79cd\u7c7b\u578b\u7684\u8bb0\u5fc6\uff1a<\/p>\n<ul>\n<li><strong>\u77ed\u671f\u8bb0\u5fc6<\/strong> \u2013 \u6709\u52a9\u4e8e\u8ddf\u8e2a\u6700\u8fd1\u7684\u4f1a\u8bdd\u3002<\/li>\n<li><strong>\u957f\u671f\u8bb0\u5fc6<\/strong> \u2013 \u5141\u8bb8\u4fdd\u7559\u5148\u524d\u4f1a\u8bdd\u7684\u4fe1\u606f\uff0c\u589e\u5f3a\u7cfb\u7edf\u5bf9\u8fc7\u53bb\u804a\u5929\u548c\u7528\u6237\u504f\u597d\u7684\u56de\u5fc6\u80fd\u529b\u3002<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>\u5de5\u5177\u548c\u5b9e\u7528\u7a0b\u5e8f<\/strong><\/h3>\n<p>LangChain \u63d0\u4f9b\u4e86\u5f88\u591a\u5de5\u5177\uff0c\u4f46\u6700\u5e38\u7528\u7684\u662f Prompt Engineering\u3001Data Loaders \u548c Evaluators\u3002\u00a0 \u5728 Prompt Engineering \u65b9\u9762\uff0cLangChain \u5305\u542b\u7528\u4e8e\u5f00\u53d1\u826f\u597d\u63d0\u793a\u7684\u5b9e\u7528\u7a0b\u5e8f\uff0c\u8fd9\u5bf9\u4e8e\u4ece\u8bed\u8a00\u6a21\u578b\u4e2d\u83b7\u5f97\u6700\u4f73\u56de\u7b54\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<p>\u5982\u679c\u8981\u52a0\u8f7d csv\u3001pdf \u6216\u5176\u4ed6\u683c\u5f0f\u7684\u6587\u4ef6\uff0c<strong>Data Loaders<\/strong> \u53ef\u4ee5\u5e2e\u52a9\u60a8\u52a0\u8f7d\u548c\u9884\u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff0c\u4f7f\u5176\u53ef\u7528\u4e8e\u6a21\u578b\u4ea4\u4e92\u3002<\/p>\n<p>\u5728\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u548c\u5927\u8bed\u8a00\u6a21\u578b\u65f6\uff0c\u8bc4\u4f30\u662f\u81f3\u5173\u91cd\u8981\u7684\u4e00\u73af\u3002 \u4e3a\u6b64\uff0cLangChain \u63d0\u4f9b\u4e86 <strong>Evaluators<\/strong> \u2013 \u8fd9\u4e2a\u5de5\u5177\u7528\u4e8e\u6d4b\u8bd5\u8bed\u8a00\u6a21\u578b\u548c\u94fe\uff0c\u4f7f\u751f\u6210\u7684\u7ed3\u679c\u6ee1\u8db3\u6240\u9700\u6807\u51c6\uff0c\u5176\u4e2d\u53ef\u80fd\u5305\u62ec\uff1a<\/p>\n<p><strong>\u6570\u636e\u96c6\u6807\u51c6\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u624b\u52a8\u7cbe\u9009\u6837\u672c<\/strong>\uff1a\u4ece\u9ad8\u8d28\u91cf\u3001\u591a\u6837\u5316\u7684\u8f93\u5165\u5f00\u59cb\u3002<\/li>\n<li><strong>\u5386\u53f2\u65e5\u5fd7<\/strong>\uff1a\u4f7f\u7528\u771f\u5b9e\u7684\u7528\u6237\u6570\u636e\u548c\u53cd\u9988\u3002<\/li>\n<li><strong>\u5408\u6210\u6570\u636e<\/strong>\uff1a\u6839\u636e\u521d\u59cb\u6570\u636e\u751f\u6210\u6837\u672c\u3002<\/li>\n<\/ul>\n<p><strong>\u8bc4\u4f30\u7c7b\u578b\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u4eba\u5de5<\/strong>\uff1a\u624b\u52a8\u8bc4\u5206\u548c\u53cd\u9988\u3002<\/li>\n<li><strong>\u542f\u53d1\u5f0f<\/strong>\uff1a\u57fa\u4e8e\u89c4\u5219\u7684\u51fd\u6570\uff0c\u5305\u62ec\u65e0\u5f15\u7528\u7684\u51fd\u6570\u548c\u57fa\u4e8e\u5f15\u7528\u7684\u51fd\u6570\u3002<\/li>\n<li><strong>LLM \u8bc4\u5224<\/strong>\uff1aLLM \u6839\u636e\u7f16\u7801\u6807\u51c6\u5bf9\u8f93\u51fa\u8fdb\u884c\u8bc4\u5206\u3002<\/li>\n<li><strong>\u6210\u5bf9<\/strong>\uff1a\u6bd4\u8f83\u4e24\u4e2a\u8f93\u51fa\uff0c\u9009\u62e9\u66f4\u597d\u7684\u4e00\u4e2a\u3002<\/li>\n<\/ul>\n<p><strong>\u5e94\u7528\u7a0b\u5e8f\u8bc4\u4f30\uff1a<\/strong><\/p>\n<ul>\n<li><strong>\u5355\u5143\u6d4b\u8bd5<\/strong>\uff1a\u5feb\u901f\u3001\u57fa\u4e8e\u542f\u53d1\u5f0f\u7684\u68c0\u67e5\u3002<\/li>\n<li><strong>\u56de\u5f52\u6d4b\u8bd5<\/strong>\uff1a\u8861\u91cf\u6027\u80fd\u5728\u4e00\u6bb5\u65f6\u95f4\u5185\u7684\u53d8\u5316\u3002<\/li>\n<li><strong>\u56de\u6eaf\u6d4b\u8bd5<\/strong>\uff1a\u5728\u65b0\u7248\u672c\u4e0a\u91cd\u65b0\u8fd0\u884c\u751f\u4ea7\u6570\u636e\u3002<\/li>\n<li><strong>\u5728\u7ebf\u8bc4\u4f30<\/strong>\uff1a\u5b9e\u65f6\u8bc4\u4f30\uff0c\u901a\u5e38\u7528\u4e8e\u9632\u62a4\u673a\u5236\u548c\u5206\u7c7b\u3002<\/li>\n<\/ul>\n<p><strong>\u4ee3\u7406<\/strong><strong><br \/><\/strong>LangChain \u4ee3\u7406\u672c\u8d28\u4e0a\u662f\u81ea\u4e3b\u5b9e\u4f53\uff0c\u5229\u7528 LLM \u4e0e\u7528\u6237\u4ea4\u4e92\u3001\u6267\u884c\u4efb\u52a1\u5e76\u6839\u636e\u81ea\u7136\u8bed\u8a00\u8f93\u5165\u505a\u51fa\u51b3\u7b56\u3002<\/p>\n<p><strong>\u4ee5\u64cd\u4f5c\u4e3a\u57fa\u7840\u7684\u4ee3\u7406<\/strong>\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u6765\u51b3\u5b9a\u9884\u5b9a\u4e49\u4efb\u52a1\u7684\u6700\u4f73\u64cd\u4f5c\u3002 \u53e6\u4e00\u65b9\u9762\uff0c<strong>\u4ea4\u4e92\u5f0f\u4ee3\u7406<\/strong>\u6216\u804a\u5929\u673a\u5668\u4eba\u7b49\u4ea4\u4e92\u5f0f\u5e94\u7528\u7a0b\u5e8f\u5229\u7528\u8fd9\u4e9b\u4ee3\u7406\uff0c\u5728\u54cd\u5e94\u67e5\u8be2\u65f6\u4e5f\u4f1a\u8003\u8651\u7528\u6237\u8f93\u5165\u548c\u5b58\u50a8\u7684\u8bb0\u5fc6\u3002<\/p>\n<h2 class=\"wp-block-heading\"><strong>\u804a\u5929\u673a\u5668\u4eba\u5982\u4f55\u4e0e LLM \u914d\u5408\u8fd0\u4f5c\uff1f<\/strong><\/h2>\n<p>\u804a\u5929\u673a\u5668\u4eba\u6240\u4f9d\u8d56\u7684 LLM \u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u7406\u89e3 (NLU) \u548c\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG)\uff0cNLU \u548c NLG \u5219\u57fa\u4e8e\u4f7f\u7528\u5927\u91cf\u6587\u672c\u6570\u636e\u7684\u9884\u8bad\u7ec3\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u81ea\u7136\u8bed\u8a00\u7406\u89e3 (NLU)<\/strong><\/h3>\n<ul>\n<li><strong>\u4e0a\u4e0b\u6587\u611f\u77e5<\/strong>\uff1aLLM \u53ef\u4ee5\u7406\u89e3\u5bf9\u8bdd\u4e2d\u7684\u7ec6\u5fae\u5dee\u522b\u548c\u6697\u793a\uff0c\u5e76\u4e14\u53ef\u4ee5\u8ddf\u8e2a\u5bf9\u8bdd\u7684\u8fdb\u5c55\u3002 \u8fd9\u4f7f\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u4e3a\u5ba2\u6237\u751f\u6210\u5408\u4e4e\u903b\u8f91\u4e14\u7b26\u5408\u4e0a\u4e0b\u6587\u7684\u56de\u7b54\u3002<\/li>\n<li><strong>\u610f\u56fe\u8bc6\u522b<\/strong>\uff1a\u8fd9\u4e9b\u6a21\u578b\u5e94\u8be5\u80fd\u591f\u4ece\u67e5\u8be2\u4e2d\u7406\u89e3\u7528\u6237\u7684\u610f\u56fe\uff0c\u65e0\u8bba\u8bed\u8a00\u662f\u975e\u5e38\u5177\u4f53\u8fd8\u662f\u76f8\u5f53\u7b3c\u7edf\u3002 \u5b83\u4eec\u53ef\u4ee5\u8fa8\u522b\u7528\u6237\u60f3\u8981\u5b9e\u73b0\u7684\u76ee\u6807\uff0c\u5e76\u786e\u5b9a\u5e2e\u52a9\u7528\u6237\u5b9e\u73b0\u76ee\u6807\u7684\u6700\u4f73\u65b9\u5f0f\u3002<\/li>\n<li><strong>\u60c5\u7eea\u5206\u6790<\/strong>\uff1a\u804a\u5929\u673a\u5668\u4eba\u53ef\u4ee5\u901a\u8fc7\u6240\u7528\u8bed\u8a00\u7684\u8bed\u6c14\u5224\u65ad\u7528\u6237\u7684\u60c5\u611f\uff0c\u5e76\u9002\u5e94\u7528\u6237\u7684\u60c5\u611f\u72b6\u6001\uff0c\u4ece\u800c\u589e\u52a0\u7528\u6237\u53c2\u4e0e\u5ea6\u3002<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>\u81ea\u7136\u8bed\u8a00\u751f\u6210 (NLG)<\/strong><\/h3>\n<ul>\n<li><strong>\u56de\u7b54\u751f\u6210<\/strong>\uff1a\u88ab\u95ee\u5230\u95ee\u9898\u65f6\uff0cLLM \u80fd\u591f\u63d0\u4f9b\u5728\u8bed\u6cd5\u548c\u4e0a\u4e0b\u6587\u65b9\u9762\u90fd\u6b63\u786e\u7684\u56de\u7b54\u3002 \u8fd9\u662f\u56e0\u4e3a\u8fd9\u4e9b\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54\u6a21\u4eff\u4e86\u4eba\u7c7b\u7684\u4ea4\u6d41\uff0c\u57fa\u4e8e\u6a21\u578b\u5728\u5927\u91cf\u81ea\u7136\u8bed\u8a00\u6587\u672c\u6570\u636e\u4e0a\u8fdb\u884c\u7684\u8bad\u7ec3\u3002<\/li>\n<li><strong>\u521b\u610f\u548c\u7075\u6d3b\u6027<\/strong>\uff1a\u9664\u4e86\u7b80\u5355\u7684\u56de\u7b54\u4e4b\u5916\uff0c\u57fa\u4e8e LLM \u7684\u804a\u5929\u673a\u5668\u4eba\u8fd8\u53ef\u4ee5\u8bb2\u6545\u4e8b\u3001\u521b\u4f5c\u8bd7\u6b4c\u6216\u63d0\u4f9b\u7279\u5b9a\u6280\u672f\u95ee\u9898\u7684\u8be6\u7ec6\u63cf\u8ff0\uff0c\u56e0\u6b64\u5728\u63d0\u4f9b\u7684\u6750\u6599\u65b9\u9762\u53ef\u4ee5\u88ab\u8ba4\u4e3a\u975e\u5e38\u7075\u6d3b\u3002<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>\u4e2a\u6027\u5316\u548c\u9002\u5e94\u6027<\/strong><\/h3>\n<ul>\n<li><strong>\u4ece\u4ea4\u4e92\u4e2d\u5b66\u4e60<\/strong>\uff1a\u804a\u5929\u673a\u5668\u4eba\u4f7f\u4ea4\u4e92\u4e2a\u6027\u5316\uff0c\u56e0\u4e3a\u5b83\u4eec\u80fd\u591f\u4ece\u7528\u6237\u7684\u884c\u4e3a\u4ee5\u53ca\u9009\u62e9\u4e2d\u5b66\u4e60\u3002 \u53ef\u4ee5\u8bf4\u5b83\u662f\u5728\u4e0d\u505c\u5730\u5b66\u4e60\uff0c\u56e0\u6b64\u4f7f\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u66f4\u6709\u6548\u3001\u66f4\u51c6\u786e\u5730\u56de\u7b54\u95ee\u9898\u3002<\/li>\n<li><strong>\u9002\u5e94\u4e0d\u540c\u9886\u57df<\/strong>\uff1aLLM \u53ef\u4ee5\u9488\u5bf9\u7279\u5b9a\u9886\u57df\u6216\u4e13\u4e1a\u8fdb\u884c\u8c03\u6574\uff0c\u8fd9\u4f7f\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u6210\u4e3a\u5ba2\u6237\u5173\u7cfb\u3001\u6280\u672f\u652f\u6301\u6216\u533b\u7597\u9886\u57df\u7684\u4e3b\u9898\u4e13\u5bb6\u3002<\/li>\n<\/ul>\n<p>LLM \u80fd\u591f\u7406\u89e3\u548c\u751f\u6210\u591a\u79cd\u8bed\u8a00\u7684\u6587\u672c\uff0c\u4f7f\u5176\u9002\u5408\u5728\u4e0d\u540c\u8bed\u8a00\u4e0a\u4e0b\u6587\u4e2d\u5e94\u7528\u3002<\/p>\n<h2 class=\"wp-block-heading\"><strong>\u901a\u8fc7\u4e94\u4e2a\u6b65\u9aa4\u4f7f\u7528 LangChain \u6784\u5efa\u60a8\u81ea\u5df1\u7684\u804a\u5929\u673a\u5668\u4eba<\/strong><\/h2>\n<p>\u8fd9\u4e2a\u9879\u76ee\u65e8\u5728\u6784\u5efa\u4e00\u4e2a\u5229\u7528 GPT-3 \u5728\u6587\u6863\u4e2d\u641c\u7d22\u7b54\u6848\u7684\u804a\u5929\u673a\u5668\u4eba\u3002 \u9996\u5148\uff0c\u6211\u4eec\u4ece\u5728\u7ebf\u6587\u7ae0\u4e2d\u6293\u53d6\u5185\u5bb9\uff0c\u5c06\u5176\u5206\u6210\u5c0f\u5757\uff0c\u8ba1\u7b97\u5b83\u4eec\u7684\u5d4c\u5165\u5411\u91cf\uff0c\u7136\u540e\u5c06\u5176\u5b58\u50a8\u5728 Deep Lake \u4e2d\u3002 \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528\u7528\u6237\u67e5\u8be2\u4ece Deep Lake \u4e2d\u68c0\u7d22\u6700\u76f8\u5173\u7684\u5757\uff0c\u8fd9\u4e9b\u5757\u88ab\u5408\u5e76\u5230\u63d0\u793a\u4e2d\uff0c\u7528\u4e8e\u901a\u8fc7 LLM \u751f\u6210\u6700\u7ec8\u7b54\u6848\u3002<\/p>\n<p>\u6ce8\u610f\uff0c\u4f7f\u7528 LLM \u53ef\u80fd\u4f1a\u4ea7\u751f\u5e7b\u89c9\u6216\u865a\u5047\u4fe1\u606f\u3002 \u867d\u7136\u8fd9\u5728\u8bb8\u591a\u5ba2\u6237\u652f\u6301\u573a\u666f\u4e2d\u53ef\u80fd\u65e0\u6cd5\u63a5\u53d7\uff0c\u4f46\u804a\u5929\u673a\u5668\u4eba\u4ecd\u7136\u53ef\u4ee5\u534f\u52a9\u64cd\u4f5c\u5458\u8d77\u8349\u7b54\u6848\uff0c\u5728\u53d1\u9001\u7ed9\u7528\u6237\u4e4b\u524d\u7531\u64cd\u4f5c\u5458\u9a8c\u8bc1\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u5982\u4f55\u7ba1\u7406\u4e0e GPT-3 \u7684\u5bf9\u8bdd\uff0c\u5e76\u63d0\u4f9b\u793a\u4f8b\u8bc1\u660e\u6b64\u5de5\u4f5c\u6d41\u7684\u6709\u6548\u6027\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u7b2c 1 \u6b65\uff1a\u9879\u76ee\u521b\u5efa\u3001\u5148\u51b3\u6761\u4ef6\u548c\u5fc5\u9700\u5e93\u5b89\u88c5<\/strong><\/h3>\n<p>\u9996\u5148\uff0c\u4e3a\u804a\u5929\u673a\u5668\u4eba\u521b\u5efa PyCharm \u9879\u76ee\u3002 \u6253\u5f00 <a href=\"https:\/\/www.jetbrains.com.cn\/pycharm\/\" target=\"_blank\" rel=\"noopener\" data-type=\"link\" data-id=\"https:\/\/www.jetbrains.com\/pycharm\/\">PyCharm<\/a>\uff0c\u70b9\u51fb New project\uff08\u65b0\u5efa\u9879\u76ee\uff09\u3002 \u7136\u540e\uff0c\u7ed9\u60a8\u7684\u9879\u76ee\u547d\u540d\u3002<\/p>\n<figure class=\"wp-block-image size-full is-style-default\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-504042\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/unnamed-1.png\" alt=\"\u521b\u5efa PyCharm \u9879\u76ee\" width=\"780\" height=\"638\" \/><\/figure>\n<p>\u8bbe\u7f6e\u9879\u76ee\uff0c\u7136\u540e\u767b\u5f55\uff08\u6216\u5728 OpenAI \u7f51\u7ad9\u4e0a\u6ce8\u518c\uff09\uff0c\u5728 <a href=\"https:\/\/platform.openai.com\/docs\/overview\" target=\"_blank\" rel=\"noopener\">OpenAI API \u5e73\u53f0\u7f51\u7ad9<\/a>\u4e0a\u751f\u6210\u60a8\u7684 &#8216;<code>OPENAI_API_KEY<\/code>&#8216;\u3002 \u4e3a\u6b64\uff0c\u8f6c\u5230\u5de6\u4fa7\u5bfc\u822a\u83dc\u5355\u4e0a\u7684 API Keys\uff08API \u5bc6\u94a5\uff09\u90e8\u5206\uff0c\u70b9\u51fb\u6309\u94ae +Create new secret key\uff08+\u521b\u5efa\u65b0\u5bc6\u94a5\uff09\u3002 \u522b\u5fd8\u4e86\u590d\u5236\u5bc6\u94a5\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u5728 <a href=\"https:\/\/www.activeloop.ai\/\" target=\"_blank\" rel=\"noopener\">Activeloop \u7f51\u7ad9<\/a>\u4e0a\u6ce8\u518c\uff0c\u83b7\u53d6 &#8216;<code>ACTIVELOOP_TOKEN<\/code>&#8216;\u3002 \u767b\u5f55\u540e\uff0c\u70b9\u51fb Create API Token\uff08\u521b\u5efa API \u4ee4\u724c\uff09\u6309\u94ae\uff0c\u5bfc\u822a\u5230\u4ee4\u724c\u521b\u5efa\u9875\u9762\u3002 \u4e5f\u590d\u5236\u8fd9\u4e2a\u4ee4\u724c\u3002<\/p>\n<p>\u83b7\u5f97\u4ee4\u724c\u548c\u5bc6\u94a5\u540e\uff0c\u5728 PyCharm \u4e2d\u6253\u5f00\u914d\u7f6e\u8bbe\u7f6e\uff0c\u70b9\u51fb\u8fd0\u884c\u548c\u8c03\u8bd5\u6309\u94ae\u65c1\u8fb9\u7684 3 \u70b9\u6309\u94ae\uff0c\u7136\u540e\u9009\u62e9 Edit\uff08\u7f16\u8f91\uff09\u3002 \u60a8\u5e94\u8be5\u770b\u5230\u4ee5\u4e0b\u7a97\u53e3\uff1a<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-504079\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/unnamed-3.png\" alt=\"PyCharm \u4e2d\u7684\u8fd0\u884c\/\u8c03\u8bd5\u914d\u7f6e\" width=\"1382\" height=\"989\" \/><\/figure>\n<p>\u73b0\u5728\uff0c\u524d\u5f80 Environment variables\uff08\u73af\u5883\u53d8\u91cf\uff09\u5b57\u6bb5\u5e76\u627e\u5230\u5b57\u6bb5\u53f3\u4fa7\u7684\u56fe\u6807\u3002 \u7136\u540e\u70b9\u51fb\uff0c\u60a8\u5c06\u770b\u5230\u4ee5\u4e0b\u7a97\u53e3\uff1a<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-544577\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/02\/unnamed-1.png\" alt=\"PyCharm \u4e2d\u7684\u73af\u5883\u53d8\u91cf\" width=\"1382\" height=\"989\" \/><\/figure>\n<p>\u73b0\u5728\uff0c\u70b9\u51fb + \u6309\u94ae\uff0c\u5f00\u59cb\u6dfb\u52a0\u73af\u5883\u53d8\u91cf\uff0c\u5e76\u6ce8\u610f\u5b83\u4eec\u7684\u540d\u79f0\u3002 \u5b83\u4eec\u5e94\u8be5\u4e0e\u4e0a\u6587\u76f8\u540c\uff1a&#8217;<code>OPENAI_API_KEY<\/code>&#8216; \u548c &#8216;<code>ACTIVELOOP_TOKEN<\/code>&#8216;\u3002 \u51c6\u5907\u5c31\u7eea\u540e\uff0c\u5728\u7b2c\u4e00\u4e2a\u7a97\u53e3\u4e2d\u70b9\u51fb OK\uff08\u786e\u5b9a\uff09\uff0c\u7136\u540e\u5728\u7b2c\u4e8c\u4e2a\u7a97\u53e3\u4e2d\u70b9\u51fb Apply\uff08\u5e94\u7528\uff09\u548c OK\uff08\u786e\u5b9a\uff09\u3002<\/p>\n<p>\u8fd9\u662f PyCharm \u7684\u4e00\u4e2a\u5de8\u5927\u4f18\u52bf\uff0c\u6211\u975e\u5e38\u559c\u6b22\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u81ea\u52a8\u4e3a\u6211\u4eec\u5904\u7406\u73af\u5883\u53d8\u91cf\uff0c\u4e0d\u9700\u8981\u989d\u5916\u8c03\u7528\uff0c\u8ba9\u6211\u4eec\u53ef\u4ee5\u66f4\u591a\u5730\u8003\u8651\u4ee3\u7801\u7684\u521b\u610f\u90e8\u5206\u3002<\/p>\n<p><em>\u6ce8<\/em>\uff1a<strong><em>Activeloop<\/em><\/strong><em> \u662f\u4e00\u5bb6\u4e13\u6ce8\u4e8e\u5f00\u53d1\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u6570\u636e\u57fa\u7840\u67b6\u6784\u4e0e\u5de5\u5177\u7684\u79d1\u6280\u516c\u53f8\u3002 \u8fd9\u5bb6\u516c\u53f8\u7684\u76ee\u6807\u662f\u7b80\u5316\u7ba1\u7406\u3001\u5b58\u50a8\u548c\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u7684\u6d41\u7a0b\uff0c\u7279\u522b\u662f\u5728\u6df1\u5ea6\u5b66\u4e60\u548c\u5176\u4ed6 AI \u5e94\u7528\u4e2d\u3002<\/em><\/p>\n<p><strong><em>Deep Lake<\/em><\/strong><em> \u662f Activeloop \u7684\u65d7\u8230\u4ea7\u54c1\u3002 \u5b83\u63d0\u4f9b\u9ad8\u6548\u7684\u6570\u636e\u5b58\u50a8\u3001\u7ba1\u7406\u548c\u8bbf\u95ee\u529f\u80fd\uff0c\u9488\u5bf9 AI \u4e2d\u7ecf\u5e38\u4f7f\u7528\u7684\u5927\u89c4\u6a21\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u4f18\u5316\u3002<\/em><\/p>\n<h4 class=\"wp-block-heading\"><strong>\u5b89\u88c5<strong>\u5fc5\u9700<\/strong><\/strong><strong>\u5e93<\/strong><\/h4>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528 LangChain \u4e2d\u7684 &#8216;<code>SeleniumURLLoader<\/code>&#8216; \u7c7b\uff0c\u5b83\u4f9d\u8d56\u4e8e &#8216;<code>unstructured<\/code>&#8216; \u548c &#8216;<code>selenium<\/code>&#8216; Python \u5e93\u3002 \u4f7f\u7528 pip \u8fdb\u884c\u5b89\u88c5\u3002\u00a0 \u5efa\u8bae\u5b89\u88c5\u6700\u65b0\u7248\u672c\uff0c\u867d\u7136\u4ee3\u7801\u5df2\u7ecf\u5728 0.7.7 \u7248\u672c\u4e0a\u8fdb\u884c\u8fc7\u4e13\u95e8\u6d4b\u8bd5\u3002\u00a0<\/p>\n<p>\u4e3a\u6b64\uff0c\u5728 PyCharm \u7ec8\u7aef\u4e2d\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">pip install unstructured selenium<\/pre>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-544604\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/02\/Install-Selenium-1.png\" alt=\"\" width=\"1385\" height=\"991\" \/><\/figure>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5 <code>langchain<\/code>\u3001<code>deeplake<\/code> \u548c <code>openai<\/code>\u3002 \u4e3a\u6b64\uff0c\u53ea\u9700\u5728\u7ec8\u7aef\uff08\u4e0e\u7528\u4e8e Selenium \u7684\u7a97\u53e3\u76f8\u540c\uff09\u4e2d\u4f7f\u7528\u6b64\u547d\u4ee4\uff0c\u7136\u540e\u7b49\u5f85\u4e00\u6bb5\u65f6\u95f4\uff0c\u76f4\u5230\u5b89\u88c5\u5b8c\u5168\u6210\u529f\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">pip install langchain==0.0.208 deeplake openai==0.27.8 psutil tiktoken<\/pre>\n<p>\u4e3a\u4e86\u786e\u4fdd\u6240\u6709\u5e93\u90fd\u6b63\u786e\u5b89\u88c5\uff0c\u6dfb\u52a0\u6211\u4eec\u7684\u804a\u5929\u673a\u5668\u4eba\u5e94\u7528\u9700\u8981\u7684\u4ee5\u4e0b\u884c\uff0c\u7136\u540e\u70b9\u51fb Run\uff08\u8fd0\u884c\uff09\u6309\u94ae\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">from langchain.embeddings.openai import OpenAIEmbeddings\n\nfrom langchain.vectorstores import DeepLake\n\nfrom langchain.text_splitter import CharacterTextSplitter\n\nfrom langchain import OpenAI\n\nfrom langchain.document_loaders import SeleniumURLLoader\n\nfrom langchain import PromptTemplate<\/pre>\n<p>\u5b89\u88c5\u5e93\u7684\u53e6\u4e00\u79cd\u65b9\u5f0f\u662f\u901a\u8fc7 PyCharm \u7684\u8bbe\u7f6e\u3002 \u6253\u5f00\u8bbe\u7f6e\uff0c\u8f6c\u5230 Project -&gt; Python Interpreter\uff08\u9879\u76ee -&gt; Python \u89e3\u91ca\u5668\uff09\u90e8\u5206\u3002 \u7136\u540e\uff0c\u627e\u5230 + \u6309\u94ae\uff0c\u641c\u7d22\u60a8\u7684\u8f6f\u4ef6\u5305\uff0c\u70b9\u51fb Install Package\uff08\u5b89\u88c5\u8f6f\u4ef6\u5305\uff09\u6309\u94ae\u3002 \u51c6\u5907\u597d\u540e\uff0c\u5c06\u5176\u5173\u95ed\uff0c\u5728\u4e0b\u4e00\u4e2a\u7a97\u53e3\u4e2d\u70b9\u51fb Apply\uff08\u5e94\u7528\uff09\uff0c\u7136\u540e\u70b9\u51fb OK\uff08\u786e\u5b9a\uff09\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-503888\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/image-38.png\" alt=\"PyCharm \u4e2d\u7684 Python \u89e3\u91ca\u5668\" width=\"1012\" height=\"759\" \/><\/figure>\n<h3 class=\"wp-block-heading\"><strong>\u7b2c 2 \u6b65\uff1a\u5c06\u5185\u5bb9\u5206\u5757\u5e76\u8ba1\u7b97\u5176\u5d4c\u5165\u5411\u91cf<\/strong><\/h3>\n<p>\u5982\u524d\u6240\u8ff0\uff0c\u6211\u4eec\u7684\u804a\u5929\u673a\u5668\u4eba\u5c06\u4e0e\u6765\u81ea\u5728\u7ebf\u6587\u7ae0\u7684\u5185\u5bb9\u201c\u4ea4\u6d41\u201d\uff0c\u56e0\u6b64\uff0c\u6211\u5c06 Digitaltrends.com \u7528\u4f5c\u6570\u636e\u6765\u6e90\u5e76\u9009\u62e9\u4e86 8 \u7bc7\u6587\u7ae0\u3002 \u6587\u7ae0\u5168\u90e8\u7ec4\u7ec7\u6210\u4e00\u4e2a Python \u5217\u8868\uff0c\u5e76\u88ab\u6307\u5b9a\u7ed9\u540d\u4e3a\u201carticles\u201d\u7684\u53d8\u91cf\u3002<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">articles = ['https:\/\/www.digitaltrends.com\/computing\/claude-sonnet-vs-gpt-4o-comparison\/',\n           'https:\/\/www.digitaltrends.com\/computing\/apple-intelligence-proves-that-macbooks-need-something-more\/',\n           'https:\/\/www.digitaltrends.com\/computing\/how-to-use-openai-chatgpt-text-generation-chatbot\/',\n           'https:\/\/www.digitaltrends.com\/computing\/character-ai-how-to-use\/',\n           'https:\/\/www.digitaltrends.com\/computing\/how-to-upload-pdf-to-chatgpt\/']<\/pre>\n<p>\u6211\u4eec\u4ece\u63d0\u4f9b\u7684 URL \u52a0\u8f7d\u6587\u6863\uff0c\u5e76\u4f7f\u7528 &#8216;<code>CharacterTextSplitter<\/code>&#8216; \u5c06\u5176\u5206\u5757\uff0c\u5757\u5927\u5c0f\u4e3a 1000 \u4e14\u6ca1\u6709\u91cd\u53e0\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Use the selenium to load the documents\nloader = SeleniumURLLoader(urls=articles)\ndocs_not_splitted = loader.load()\n\n# Split the documents into smaller chunks\ntext_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\ndocs = text_splitter.split_documents(docs_not_splitted)<\/pre>\n<p>\u5982\u679c\u4e00\u5207\u987a\u5229\uff0c\u5230\u73b0\u5728\u4e3a\u6b62\u8fd0\u884c\u4ee3\u7801\u5e94\u8be5\u4f1a\u6536\u5230\u4ee5\u4e0b\u8f93\u51fa\uff1a<\/p>\n<p><em><code>[Document(page_content=\"techcrunchnntechcrunchnnWe, TechCrunch, are part of the Yahoo family of brandsThe sites and apps that we own and operate, including Yahoo and AOL, and our digital advertising service, Yahoo Advertising.Yahoo family of brands.nn\u00a0 \u00a0 When you use our sites and apps, we use nnCookiesCookies (including similar technologies such as web storage) allow the operators of websites and apps to store and read information from your device. Learn more in our cookie policy.cookies to:nnprovide our sites and apps to younnauthenticate users, apply security measures, and prevent spam and abuse, andnnmeasure your use of our sites and appsnn\u00a0 \u00a0 If you click '\", metadata={'source':\u00a0\u2026\u2026\u2026\u2026\u2026]<\/code><\/em><\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528 OpenAIEmbeddings \u751f\u6210\u5d4c\u5165\u5411\u91cf\u5e76\u5c06\u5176\u4fdd\u5b58\u5728\u6258\u7ba1\u5728\u4e91\u7aef\u7684 Deep Lake \u5411\u91cf\u5b58\u50a8\u4e2d\u3002 \u7406\u60f3\u60c5\u51b5\u4e0b\uff0c\u5728\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6574\u4e2a\u7f51\u7ad9\u6216\u8bfe\u7a0b\u4e0a\u4f20\u5230 Deep Lake \u6570\u636e\u96c6\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9\u6570\u5343\u751a\u81f3\u6570\u767e\u4e07\u4e2a\u6587\u6863\u7684\u641c\u7d22\u3002\u00a0<\/p>\n<p>\u5229\u7528\u4e91\u7aef\u7684\u65e0\u670d\u52a1\u5668 Deep Lake \u6570\u636e\u96c6\uff0c\u6765\u81ea\u4e0d\u540c\u4f4d\u7f6e\u7684\u5e94\u7528\u7a0b\u5e8f\u53ef\u4ee5\u65e0\u7f1d\u8bbf\u95ee\u96c6\u4e2d\u6570\u636e\u96c6\uff0c\u800c\u65e0\u9700\u5728\u4e13\u7528\u673a\u5668\u4e0a\u8bbe\u7f6e\u5411\u91cf\u5b58\u50a8\u3002<\/p>\n<h4 class=\"wp-block-heading\"><strong>\u4e3a\u4ec0\u4e48\u9700\u8981\u5757\u4e2d\u7684\u5d4c\u5165\u5411\u91cf\u548c\u6587\u6863\uff1f<\/strong><\/h4>\n<p>\u4f7f\u7528 LangChain \u6784\u5efa\u804a\u5929\u673a\u5668\u4eba\u65f6\uff0c\u5d4c\u5165\u5411\u91cf\u548c\u5206\u5757\u6587\u6863\u81f3\u5173\u91cd\u8981\uff0c\u5176\u4e2d\u7684\u539f\u56e0\u4e0e\u804a\u5929\u673a\u5668\u4eba\u7684\u6548\u7387\u3001\u51c6\u786e\u6027\u548c\u6027\u80fd\u6709\u5173\u3002<\/p>\n<p><strong>\u5d4c\u5165\u5411\u91cf<\/strong>\u662f\u6355\u6349\u8bed\u4e49\u7684\u6587\u672c\uff08\u5355\u8bcd\u3001\u53e5\u5b50\u3001\u6bb5\u843d\u6216\u6587\u6863\uff09\u7684\u5411\u91cf\u8868\u793a\u3002 \u5b83\u4eec\u4ee5\u6570\u5b57\u5f62\u5f0f\u5c01\u88c5\u5355\u8bcd\u7684\u4e0a\u4e0b\u6587\u548c\u542b\u4e49\u3002 \u901a\u8fc7\u6355\u6349\u7ec6\u5fae\u5dee\u522b\u3001\u540c\u4e49\u8bcd\u548c\u5355\u8bcd\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u8fd9\u4f7f\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u7406\u89e3\u5e76\u751f\u6210\u9002\u5408\u4e0a\u4e0b\u6587\u7684\u56de\u7b54\u3002<\/p>\n<p>\u5f97\u76ca\u4e8e\u5d4c\u5165\u5411\u91cf\uff0c\u804a\u5929\u673a\u5668\u4eba\u8fd8\u53ef\u4ee5\u5feb\u901f\u8bc6\u522b\u548c\u68c0\u7d22\u77e5\u8bc6\u5e93\u4e2d\u6700\u76f8\u5173\u7684\u56de\u7b54\u6216\u4fe1\u606f\uff0c\u56e0\u4e3a\u5b83\u4eec\u5141\u8bb8\u5c06\u7528\u6237\u67e5\u8be2\u4e0e\u8bed\u4e49\u4e0a\u6700\u76f8\u5173\u7684\u4fe1\u606f\u5757\u8fdb\u884c\u5339\u914d\uff0c\u5373\u4f7f\u63aa\u8f9e\u4e0d\u540c\u3002<\/p>\n<p><strong>\u5206\u5757<\/strong>\u5219\u6d89\u53ca\u5c06\u5927\u6587\u6863\u5206\u6210\u66f4\u5c0f\u3001\u6613\u4e8e\u7ba1\u7406\u7684\u5757\u3002 \u4e0e\u5927\u578b\u3001\u5355\u4e00\u6587\u6863\u76f8\u6bd4\uff0c\u66f4\u5c0f\u7684\u5757\u53ef\u4ee5\u66f4\u5feb\u5730\u5904\u7406\u548c\u5206\u6790\u3002 \u8fd9\u4f7f\u804a\u5929\u673a\u5668\u4eba\u7684\u56de\u7b54\u65f6\u95f4\u66f4\u77ed\u3002<\/p>\n<p>\u6587\u6863\u5206\u5757\u4e5f\u6709\u52a9\u4e8e\u63d0\u9ad8\u8f93\u51fa\u7684\u76f8\u5173\u6027\uff0c\u56e0\u4e3a\u5f53\u7528\u6237\u63d0\u51fa\u95ee\u9898\u65f6\uff0c\u5b83\u901a\u5e38\u53ea\u51fa\u73b0\u5728\u6587\u6863\u7684\u7279\u5b9a\u90e8\u5206\u4e2d\u3002 \u5206\u5757\u53ef\u4ee5\u8ba9\u7cfb\u7edf\u7cbe\u786e\u5b9a\u4f4d\u5e76\u68c0\u7d22\u76f8\u5173\u90e8\u5206\uff0c\u4f7f\u804a\u5929\u673a\u5668\u4eba\u63d0\u4f9b\u66f4\u7cbe\u786e\u3001\u66f4\u51c6\u786e\u7684\u7b54\u6848\u3002<\/p>\n<p>\u73b0\u5728\uff0c\u6211\u4eec\u56de\u5230\u6211\u4eec\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u6dfb\u52a0 Activeloop \u7ec4\u7ec7 ID \u6765\u66f4\u65b0\u4ee5\u4e0b\u4ee3\u7801\u3002 \u6ce8\u610f\uff0c\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u60a8\u7684\u7ec4\u7ec7 ID \u548c\u60a8\u7684\u7528\u6237\u540d\u76f8\u540c\u3002<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># TODO: use your organization id here. (by default, org id is your username)\nmy_activeloop_org_id = \"didogrigorov\"\nmy_activeloop_dataset_name = \"jetbrains_article_dataset\"\ndataset_path = f\"hub:\/\/{my_activeloop_org_id}\/{my_activeloop_dataset_name}\"\ndb = DeepLake(dataset_path=dataset_path, embedding_function=embeddings)\n\n\n# add documents to our Deep Lake dataset\ndb.add_documents(docs)<\/pre>\n<p>PyCharm \u53e6\u4e00\u4e2a\u5f88\u68d2\u7684\u529f\u80fd\u662f\u53ef\u4ee5\u76f4\u63a5\u5728 Python \u6ce8\u91ca\u4e2d\u6dfb\u52a0 TODO \u5907\u6ce8\u7684\u9009\u9879\u3002 \u4f7f\u7528\u5927\u5199\u5b57\u6bcd\u8f93\u5165 TODO \u65f6\uff0c\u6240\u6709\u6ce8\u91ca\u90fd\u4f1a\u8fdb\u5165 PyCharm \u7684\u4e00\u4e2a\u90e8\u5206\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># TODO: use your organization id here. (by default, org id is your username)<\/pre>\n<p>\u70b9\u51fb\u540e\uff0cPyCharm \u4f1a\u76f4\u63a5\u663e\u793a\u5b83\u4eec\u5728\u4ee3\u7801\u4e2d\u7684\u4f4d\u7f6e\u3002 \u6211\u53d1\u73b0\u8fd9\u5bf9\u5f00\u53d1\u8005\u6765\u8bf4\u975e\u5e38\u65b9\u4fbf\uff0c\u5e76\u4e14\u4e00\u76f4\u5728\u4f7f\u7528\uff1a<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-503899\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/image-39.png\" alt=\"PyCharm \u4e2d Python \u6ce8\u91ca\u4e2d\u7684 TODO \u5907\u6ce8\" width=\"1445\" height=\"993\" \/><\/figure>\n<p>\u5982\u679c\u4e00\u5207\u6b63\u5e38\uff0c\u5230\u73b0\u5728\u4e3a\u6b62\u8fd0\u884c\u4ee3\u7801\u5e94\u8be5\u4f1a\u6536\u5230\u4ee5\u4e0b\u8f93\u51fa\uff1a<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-504068\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/unnamed-2.png\" alt=\"PyCharm \u4e2d\u7684\u804a\u5929\u673a\u5668\u4eba\u4ee3\u7801\u6267\u884c\" width=\"1377\" height=\"989\" \/><\/figure>\n<p>\u4e3a\u4e86\u627e\u5230\u4e0e\u7ed9\u5b9a\u67e5\u8be2\u6700\u76f8\u4f3c\u7684\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528 Deep Lake \u5411\u91cf\u5b58\u50a8\u63d0\u4f9b\u7684 similarity_search \u65b9\u6cd5\uff1a<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Check the top relevant documents to a specific query\nquery = \"how to check disk usage in linux?\"\ndocs = db.similarity_search(query)\nprint(docs[0].page_content)<\/pre>\n<h3 class=\"wp-block-heading\"><strong>\u7b2c 3 \u6b65\uff1a\u6784\u5efa GPT-3 \u7684\u63d0\u793a<\/strong><\/h3>\n<p>\u6211\u4eec\u5c06\u8bbe\u8ba1\u4e00\u4e2a\u96c6\u6210\u89d2\u8272\u63d0\u793a\u3001\u76f8\u5173\u77e5\u8bc6\u5e93\u6570\u636e\u548c\u7528\u6237\u67e5\u8be2\u7684\u63d0\u793a\u6a21\u677f\u3002 \u6b64\u6a21\u677f\u5c06\u804a\u5929\u673a\u5668\u4eba\u7684\u5f62\u8c61\u786e\u7acb\u4e3a\u51fa\u8272\u7684\u5ba2\u6237\u652f\u6301\u4ee3\u7406\u3002 \u5b83\u63a5\u53d7\u4e24\u4e2a\u8f93\u5165\u53d8\u91cf\uff1achunks_formatted\uff08\u5305\u542b\u6587\u7ae0\u7684\u9884\u683c\u5f0f\u5316\u6458\u5f55\uff09\u548c query\uff08\u4ee3\u8868\u5ba2\u6237\u7684\u95ee\u9898\uff09\u3002 \u76ee\u6807\u662f\u4ec5\u6839\u636e\u7ed9\u5b9a\u5757\u4ea7\u751f\u7cbe\u786e\u7684\u56de\u7b54\uff0c\u907f\u514d\u4efb\u4f55\u865a\u5047\u6216\u4e0d\u6b63\u786e\u7684\u4fe1\u606f\u3002<\/p>\n<h3 class=\"wp-block-heading\"><strong>\u7b2c 4 \u6b65\uff1a\u6784\u5efa\u804a\u5929\u673a\u5668\u4eba\u529f\u80fd<\/strong><\/h3>\n<p>\u4e3a\u4e86\u751f\u6210\u56de\u7b54\uff0c\u6211\u4eec\u9996\u5148\u68c0\u7d22\u4e0e\u7528\u6237\u67e5\u8be2\u6700\u76f8\u4f3c\u7684\u524d k \u4e2a\uff08\u4f8b\u5982\u524d 3 \u4e2a\uff09\u5757\u3002 \u7136\u540e\u8fd9\u4e9b\u5757\u88ab\u683c\u5f0f\u5316\u4e3a\u63d0\u793a\uff0c\u5e76\u53d1\u9001\u5230\u6e29\u5ea6\u8bbe\u7f6e\u4e3a 0 \u7684 GPT-3 \u6a21\u578b\u3002<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># user question\nquery = \"How to check disk usage in linux?\"\n\n# retrieve relevant chunks\ndocs = db.similarity_search(query)\nretrieved_chunks = [doc.page_content for doc in docs]\n\n# format the prompt\nchunks_formatted = \"nn\".join(retrieved_chunks)\nprompt_formatted = prompt.format(chunks_formatted=chunks_formatted, query=query)\n\n# generate answer\nllm = OpenAI(model=\"gpt-3.5-turbo-instruct\", temperature=0)\nanswer = llm(prompt_formatted)\nprint(answer)<\/pre>\n<p>\u5982\u679c\u4e00\u5207\u6b63\u5e38\uff0c\u60a8\u7684\u8f93\u51fa\u5e94\u8be5\u662f\uff1a<\/p>\n<p><em><code>To upload a PDF to ChatGPT, first log into the website and click the paperclip icon next to the text input field. Then, select the PDF from your local hard drive, Google Drive, or Microsoft OneDrive. Once attached, type your query or question into the prompt field and click the upload button. Give the system time to analyze the PDF and provide you with a response.<\/code><\/em><\/p>\n<h3 class=\"wp-block-heading\"><strong>\u7b2c 5 \u6b65\uff1a\u5efa\u7acb\u5bf9\u8bdd\u5386\u53f2<\/strong><\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"># Create conversational memory\nmemory = ConversationBufferMemory(memory_key=\"chat_history\", input_key=\"input\")\n\n# Define a prompt template that includes memory\ntemplate = \"\"\"You are an exceptional customer support chatbot that gently answers questions.\n\n{chat_history}\n\nYou know the following context information.\n\n{chunks_formatted}\n\nAnswer the following question from a customer. Use only information from the previous context information. Do not invent stuff.\n\nQuestion: {input}\n\nAnswer:\"\"\"\n\nprompt = PromptTemplate(\n    input_variables=[\"chat_history\", \"chunks_formatted\", \"input\"],\n    template=template,\n)\n\n# Initialize the OpenAI model\nllm = OpenAI(openai_api_key=\"YOUR API KEY\", model=\"gpt-3.5-turbo-instruct\", temperature=0)\n\n# Create the LLMChain with memory\nchain = LLMChain(\n    llm=llm,\n    prompt=prompt,\n    memory=memory\n)\n\n# User query\nquery = \"What was the 5th point about on the question how to remove spotify account?\"\n\n# Retrieve relevant chunks\ndocs = db.similarity_search(query)\nretrieved_chunks = [doc.page_content for doc in docs]\n\n# Format the chunks for the prompt\nchunks_formatted = \"nn\".join(retrieved_chunks)\n\n# Prepare the input for the chain\ninput_data = {\n    \"input\": query,\n    \"chunks_formatted\": chunks_formatted,\n    \"chat_history\": memory.buffer\n}\n\n# Simulate a conversation\nresponse = chain.predict(**input_data)\n\nprint(response)<\/pre>\n<p>\u6211\u4eec\u7528\u66f4\u5177\u5bf9\u8bdd\u6027\u7684\u65b9\u5f0f\u8bb2\u89e3\u4ee3\u7801\u3002<\/p>\n<p>\u9996\u5148\uff0c\u4f7f\u7528 &#8216;<code>ConversationBufferMemory<\/code>&#8216; \u8bbe\u7f6e\u5bf9\u8bdd\u8bb0\u5fc6\u3002 \u8fd9\u4f7f\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u8bb0\u4f4f\u5f53\u524d\u804a\u5929\u5386\u53f2\uff0c\u4f7f\u7528 &#8216;<code>input_key=\u201dinput\u201d<\/code>&#8216; \u7ba1\u7406\u4f20\u5165\u7528\u6237\u8f93\u5165\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8bbe\u8ba1\u4e00\u4e2a\u63d0\u793a\u6a21\u677f\u3002 \u8fd9\u4e2a\u6a21\u677f\u5c31\u50cf\u662f\u804a\u5929\u673a\u5668\u4eba\u7684\u811a\u672c\uff0c\u5305\u62ec\u804a\u5929\u5386\u53f2\u90e8\u5206\u3001\u6211\u4eec\u6536\u96c6\u7684\u4fe1\u606f\u5757\u4ee5\u53ca\u5f53\u524d\u7528\u6237\u95ee\u9898\uff08\u8f93\u5165\uff09\u3002 \u8fd9\u79cd\u7ed3\u6784\u53ef\u4ee5\u5e2e\u52a9\u804a\u5929\u673a\u5668\u4eba\u51c6\u786e\u4e86\u89e3\u4e0a\u4e0b\u6587\u4ee5\u53ca\u9700\u8981\u56de\u7b54\u4ec0\u4e48\u95ee\u9898\u3002<\/p>\n<p>\u7136\u540e\uff0c\u6211\u4eec\u7ee7\u7eed\u521d\u59cb\u5316\u8bed\u8a00\u6a21\u578b\u94fe\u6216 &#8216;<code>LLMChain<\/code>&#8216;\u3002 \u8fd9\u5c31\u50cf\u7ec4\u88c5\u7ec4\u4ef6\u4e00\u6837\uff1a\u9009\u62e9\u63d0\u793a\u6a21\u677f\u3001\u8bed\u8a00\u6a21\u578b\u548c\u5148\u524d\u8bbe\u7f6e\u7684\u8bb0\u5fc6\uff0c\u628a\u5b83\u4eec\u7ec4\u5408\u6210\u4e00\u4e2a\u5de5\u4f5c\u6d41\u3002<\/p>\n<p>\u9700\u8981\u5904\u7406\u7528\u6237\u67e5\u8be2\u65f6\uff0c\u6211\u4eec\u51c6\u5907\u8f93\u5165\u3002 \u8fd9\u6d89\u53ca\u521b\u5efa\u5305\u542b\u7528\u6237\u95ee\u9898 (&#8216;<code>input<\/code>&#8216;) \u548c\u76f8\u5173\u4fe1\u606f\u5757 (&#8216;<code>chunks_formatted<\/code>&#8216;) \u7684\u5b57\u5178\u3002 \u8fd9\u79cd\u8bbe\u7f6e\u53ef\u4ee5\u786e\u4fdd\u804a\u5929\u673a\u5668\u4eba\u638c\u63e1\u5b83\u9700\u8981\u7684\u6240\u6709\u8be6\u7ec6\u4fe1\u606f\uff0c\u505a\u51fa\u6709\u610f\u4e49\u7684\u56de\u7b54\u3002<\/p>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u751f\u6210\u4e00\u4e2a\u56de\u7b54\u3002 \u8c03\u7528 &#8216;<code>chain.predict<\/code>&#8216; \u65b9\u6cd5\uff0c\u4f20\u5165\u6211\u4eec\u51c6\u5907\u597d\u7684\u8f93\u5165\u6570\u636e\u3002 \u8be5\u65b9\u6cd5\u901a\u8fc7\u6211\u4eec\u6784\u5efa\u7684\u5de5\u4f5c\u6d41\u5904\u7406\u6b64\u8f93\u5165\uff0c\u8f93\u51fa\u804a\u5929\u673a\u5668\u4eba\u7684\u56de\u7b54\uff0c\u7136\u540e\u6211\u4eec\u5c06\u5176\u663e\u793a\u51fa\u6765\u3002<\/p>\n<p>\u7531\u6b64\uff0c\u6211\u4eec\u7684\u804a\u5929\u673a\u5668\u4eba\u80fd\u591f\u4fdd\u6301\u987a\u7545\u3001\u6709\u610f\u4e49\u7684\u5bf9\u8bdd\uff0c\u8bb0\u4f4f\u8fc7\u53bb\u7684\u4e92\u52a8\u5e76\u6839\u636e\u4e0a\u4e0b\u6587\u63d0\u4f9b\u76f8\u5173\u7b54\u6848\u3002<\/p>\n<p>PyCharm \u4e2d\u53e6\u4e00\u4e2a\u6211\u6700\u559c\u6b22\u7684\u6280\u5de7\u662f\u5c06\u5149\u6807\u653e\u5728\u65b9\u6cd5\u4e0a\uff0c\u6309 CTRL \u952e\u5e76\u70b9\u51fb\uff0c\u8fd9\u5bf9\u6211\u521b\u5efa\u8fd9\u4e2a\u529f\u80fd\u5e2e\u52a9\u5f88\u5927\u3002<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-544616\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2025\/02\/put-my-cursor-over-a-method.gif\" alt=\"\u5c06\u5149\u6807\u653e\u5728\u65b9\u6cd5\u4e0a\" width=\"1200\" height=\"805\" \/><\/figure>\n<h2 class=\"wp-block-heading\"><strong>\u7ed3\u8bba<\/strong><\/h2>\n<p>GPT-3 \u64c5\u957f\u521b\u5efa\u80fd\u591f\u6839\u636e\u63d0\u793a\u4e2d\u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u56de\u7b54\u7279\u5b9a\u95ee\u9898\u7684\u5bf9\u8bdd\u5f0f\u804a\u5929\u673a\u5668\u4eba\u3002 \u4e0d\u8fc7\uff0c\u786e\u4fdd\u6a21\u578b\u4ec5\u57fa\u4e8e\u8fd9\u79cd\u4e0a\u4e0b\u6587\u751f\u6210\u7b54\u6848\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\uff0c\u56e0\u4e3a\u5b83\u5f80\u5f80\u4f1a\u4ea7\u751f\u5e7b\u89c9\uff08\u5373\u751f\u6210\u65b0\u7684\u3001\u53ef\u80fd\u9519\u8bef\u7684\u4fe1\u606f\uff09\u3002 \u6b64\u7c7b\u865a\u5047\u4fe1\u606f\u7684\u5f71\u54cd\u56e0\u7528\u4f8b\u800c\u5f02\u3002<\/p>\n<p>\u603b\u4e4b\uff0c\u6211\u4eec\u6309\u7167\u63d0\u4f9b\u7684\u4ee3\u7801\u548c\u7b56\u7565\uff0c\u4f7f\u7528 LangChain \u5f00\u53d1\u4e86\u4e00\u4e2a\u4e0a\u4e0b\u6587\u611f\u77e5\u95ee\u7b54\u7cfb\u7edf\u3002 \u6d41\u7a0b\u5305\u62ec\u5c06\u6587\u6863\u5206\u5757\u3001\u8ba1\u7b97\u5d4c\u5165\u5411\u91cf\u3001\u5b9e\u73b0\u68c0\u7d22\u5668\u4ee5\u67e5\u627e\u76f8\u4f3c\u7684\u5757\u3001\u4e3a GPT-3 \u6784\u5efa\u63d0\u793a\uff0c\u4ee5\u53ca\u4f7f\u7528 GPT-3 \u6a21\u578b\u8fdb\u884c\u6587\u672c\u751f\u6210\u3002 \u8fd9\u79cd\u65b9\u5f0f\u5c55\u73b0\u4e86\u5229\u7528 GPT-3 \u521b\u5efa\u5f3a\u5927\u4e14\u4e0a\u4e0b\u6587\u51c6\u786e\u7684\u804a\u5929\u673a\u5668\u4eba\u7684\u6f5c\u529b\uff0c\u540c\u65f6\u4e5f\u5f3a\u8c03\u4e86\u8b66\u60d5\u751f\u6210\u865a\u5047\u4fe1\u606f\u98ce\u9669\u7684\u91cd\u8981\u6027\u3002<\/p>\n<h2 id=\"author\" class=\"wp-block-heading\"><strong>\u4f5c\u8005\u7b80\u4ecb<\/strong><\/h2>\n<div class=\"about-author \">\n<div class=\"about-author__box\">\n<div class=\"row\">\n<div class=\"about-author__box-img\"><img decoding=\"async\" src=\"https:\/\/blog.jetbrains.com\/wp-content\/uploads\/2024\/08\/dido-grigorov.jpeg\" alt=\"Dido Grigorov\" \/><\/div>\n<div class=\"about-author__box-text\">\n<h4>Dido Grigorov<\/h4>\n<p><i><span style=\"font-weight: 400;\">Dido \u662f\u4e00\u4f4d\u7ecf\u9a8c\u4e30\u5bcc\u7684\u6df1\u5ea6\u5b66\u4e60\u5de5\u7a0b\u5e08\u548c Python \u7a0b\u5e8f\u5458\uff0c\u5728\u8be5\u9886\u57df\u62e5\u6709 17 \u5e74\u7ecf\u9a8c\u3002 \u4ed6\u76ee\u524d\u6b63\u5728\u8457\u540d\u7684\u65af\u5766\u798f\u5927\u5b66\u653b\u8bfb\u9ad8\u7ea7\u5b66\u4f4d\uff0c\u5e76\u53c2\u52a0\u4e86\u4e00\u9879\u7531\u5434\u6069\u8fbe\u3001Christopher Manning\u3001\u674e\u98de\u98de\u548c Chelsea Finn \u7b49\u77e5\u540d\u4e13\u5bb6\u9886\u5bfc\u7684\u5c16\u7aef AI \u9879\u76ee\u3002\u4ece\u8fd9\u4e2a\u9879\u76ee\u4e2d\uff0cDido \u83b7\u5f97\u4e86\u5b9d\u8d35\u7684\u89c1\u89e3\u548c\u6307\u5bfc\u3002<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">Dido \u5bf9\u5de5\u4f5c\u548c\u5b9e\u9a8c\u7684\u6295\u5165\u5c55\u73b0\u4e86\u4ed6\u5bf9\u4eba\u5de5\u667a\u80fd\u7684\u70ed\u60c5\u3002 \u591a\u5e74\u6765\uff0c\u4ed6\u5728\u8bbe\u8ba1\u3001\u5b9e\u73b0\u548c\u4f18\u5316\u673a\u5668\u5b66\u4e60\u6a21\u578b\u65b9\u9762\u79ef\u7d2f\u4e86\u6df1\u539a\u7684\u4e13\u4e1a\u77e5\u8bc6\u3002 \u4ed6\u7cbe\u901a Python\uff0c\u80fd\u591f\u89e3\u51b3\u590d\u6742\u95ee\u9898\u5e76\u4e3a\u591a\u79cd\u9886\u57df\u7684\u521b\u65b0 AI \u89e3\u51b3\u65b9\u6848\u505a\u51fa\u8d21\u732e\u3002<\/span><\/i><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"author":1297,"featured_media":549239,"comment_status":"closed","ping_status":"closed","template":"","categories":[952,1401],"tags":[6230,8556,8557],"cross-post-tag":[],"acf":[],"_links":{"self":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/549162"}],"collection":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm"}],"about":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/types\/pycharm"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/users\/1297"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=549162"}],"version-history":[{"count":2,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/549162\/revisions"}],"predecessor-version":[{"id":549250,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/pycharm\/549162\/revisions\/549250"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media\/549239"}],"wp:attachment":[{"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=549162"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=549162"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=549162"},{"taxonomy":"cross-post-tag","embeddable":true,"href":"https:\/\/blog.jetbrains.com\/zh-hans\/wp-json\/wp\/v2\/cross-post-tag?post=549162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}