{"id":89651,"date":"2026-08-03T12:25:10","date_gmt":"2026-08-03T04:25:10","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/89651.html"},"modified":"2026-08-03T12:25:10","modified_gmt":"2026-08-03T04:25:10","slug":"ai-%e5%ba%94%e7%94%a8%e5%bc%80%e5%8f%91%e5%ad%a6%e4%b9%a0%e6%8c%87%e5%8d%97%ef%bc%9a%e4%bb%8e%e9%9b%b6%e5%88%b0%e7%94%9f%e4%ba%a7%e7%9a%84%e5%88%86%e9%98%b6%e6%ae%b5%e5%ae%9e%e8%b7%b5%e8%b7%af","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/89651.html","title":{"rendered":"AI \u5e94\u7528\u5f00\u53d1\u5b66\u4e60\u6307\u5357\uff1a\u4ece\u96f6\u5230\u751f\u4ea7\u7684\u5206\u9636\u6bb5\u5b9e\u8df5\u8def\u7ebf"},"content":{"rendered":"<p>\u672c\u6587\u9762\u5411\u6709\u4e00\u5b9a\u7f16\u7a0b\u57fa\u7840&#xff08;Python \u4e3a\u4e3b&#xff09;\u7684\u5f00\u53d1\u8005&#xff0c;\u7cfb\u7edf\u68b3\u7406 AI \u5e94\u7528\u5f00\u53d1\u7684\u5b66\u4e60\u8def\u5f84\u3002\u6bcf\u4e2a\u9636\u6bb5\u914d\u6709\u7406\u8bba\u8bb2\u89e3\u548c GitHub \u5b9e\u6218\u9879\u76ee&#xff0c;\u5f3a\u8c03&#034;\u5b66\u4e00\u4e2a\u77e5\u8bc6\u70b9&#xff0c;\u505a\u4e00\u4e2a\u53ef\u8fd0\u884c\u7684\u9879\u76ee&#034;\u3002<\/p>\n<hr \/>\n<h3>\u76ee\u5f55<\/h3>\n<ul>\n<li>\u9636\u6bb5\u4e00&#xff1a;\u57fa\u7840\u8ba4\u77e5\u2014\u2014\u7406\u89e3\u5927\u6a21\u578b\u4e0e API \u8c03\u7528<\/li>\n<li>\u9636\u6bb5\u4e8c&#xff1a;Prompt \u5de5\u7a0b\u4e0e\u5bf9\u8bdd\u7cfb\u7edf<\/li>\n<li>\u9636\u6bb5\u4e09&#xff1a;RAG \u68c0\u7d22\u589e\u5f3a\u751f\u6210<\/li>\n<li>\u9636\u6bb5\u56db&#xff1a;AI Agent \u667a\u80fd\u4f53\u5f00\u53d1<\/li>\n<li>\u9636\u6bb5\u4e94&#xff1a;\u591a Agent \u534f\u4f5c\u4e0e\u5de5\u4f5c\u6d41\u7f16\u6392<\/li>\n<li>\u9636\u6bb5\u516d&#xff1a;\u672c\u5730\u90e8\u7f72\u4e0e\u79c1\u6709\u5316<\/li>\n<li>\u9636\u6bb5\u4e03&#xff1a;\u751f\u4ea7\u7ea7\u5e94\u7528\u4e0e\u5e73\u53f0\u5316<\/li>\n<li>\u5b66\u4e60\u6ce8\u610f\u4e8b\u9879\u4e0e\u5e38\u89c1\u95ee\u9898<\/li>\n<li>\u63a8\u8350\u5b66\u4e60\u8d44\u6e90\u6c47\u603b<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u4e00&#xff1a;\u57fa\u7840\u8ba4\u77e5\u2014\u2014\u7406\u89e3\u5927\u6a21\u578b\u4e0e API \u8c03\u7528<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;\u57fa\u672c\u539f\u7406<\/p>\n<p>\u5927\u8bed\u8a00\u6a21\u578b\u662f\u57fa\u4e8e Transformer \u67b6\u6784\u7684\u795e\u7ecf\u7f51\u7edc&#xff0c;\u901a\u8fc7\u5728\u6d77\u91cf\u6587\u672c\u6570\u636e\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3&#xff0c;\u5b66\u4f1a\u4e86\u8bed\u8a00\u7684\u7edf\u8ba1\u89c4\u5f8b\u3002\u6838\u5fc3\u6982\u5ff5\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>Token&#xff1a;\u6a21\u578b\u5904\u7406\u6587\u672c\u7684\u6700\u5c0f\u5355\u4f4d\u3002\u4e00\u4e2a\u4e2d\u6587\u5b57\u901a\u5e38\u5360 1-2 \u4e2a token&#xff0c;\u4e00\u4e2a\u82f1\u6587\u5355\u8bcd\u5360 1-3 \u4e2a token\u3002API \u8c03\u7528\u6309 token \u6570\u8ba1\u8d39\u3002<\/li>\n<li>\u4e0a\u4e0b\u6587\u7a97\u53e3&#xff08;Context Window&#xff09;&#xff1a;\u6a21\u578b\u4e00\u6b21\u80fd\u5904\u7406\u7684\u6700\u5927 token \u6570\u91cf\u3002\u4f8b\u5982 GPT-4o \u652f\u6301 128K tokens&#xff0c;Claude 3.5 \u652f\u6301 200K tokens\u3002<\/li>\n<li>Temperature&#xff1a;\u63a7\u5236\u8f93\u51fa\u968f\u673a\u6027\u7684\u53c2\u6570\u3002\u503c\u8d8a\u4f4e&#xff08;\u5982 0&#xff09;\u8f93\u51fa\u8d8a\u786e\u5b9a&#xff0c;\u503c\u8d8a\u9ad8&#xff08;\u5982 1.0&#xff09;\u8f93\u51fa\u8d8a\u591a\u6837\u3002<\/li>\n<li>System Prompt \/ User Prompt \/ Assistant&#xff1a;\u5bf9\u8bdd\u7684\u4e09\u79cd\u89d2\u8272\u3002System \u5b9a\u4e49\u6a21\u578b\u884c\u4e3a&#xff0c;User \u662f\u7528\u6237\u8f93\u5165&#xff0c;Assistant \u662f\u6a21\u578b\u56de\u590d\u3002<\/li>\n<\/ul>\n<p>2. API \u8c03\u7528\u57fa\u7840<\/p>\n<p>\u4e3b\u6d41\u5927\u6a21\u578b\u63d0\u4f9b\u5546\u90fd\u63d0\u4f9b\u4e86 RESTful API&#xff0c;\u8c03\u7528\u6d41\u7a0b\u57fa\u672c\u4e00\u81f4&#xff1a;<\/p>\n<p>\u53d1\u9001\u8bf7\u6c42&#xff08;\u5305\u542b\u6a21\u578b\u540d\u3001\u6d88\u606f\u5217\u8868\u3001\u53c2\u6570&#xff09; \u2192 \u83b7\u53d6\u6d41\u5f0f\/\u975e\u6d41\u5f0f\u54cd\u5e94<\/p>\n<p>\u5173\u952e\u8981\u7d20&#xff1a;<\/p>\n<ul>\n<li>API Key \u8ba4\u8bc1&#xff1a;\u901a\u8fc7 Header \u4f20\u9012\u5bc6\u94a5<\/li>\n<li>\u6d88\u606f\u683c\u5f0f&#xff1a;JSON \u6570\u7ec4&#xff0c;\u6bcf\u6761\u6d88\u606f\u5305\u542b role \u548c content<\/li>\n<li>\u6d41\u5f0f\u8f93\u51fa&#xff08;Streaming&#xff09;&#xff1a;\u9010 token \u8fd4\u56de&#xff0c;\u63d0\u5347\u7528\u6237\u4f53\u9a8c<\/li>\n<li>\u9519\u8bef\u5904\u7406&#xff1a;\u901f\u7387\u9650\u5236&#xff08;429&#xff09;\u3001\u4e0a\u4e0b\u6587\u8d85\u957f&#xff08;\u8d85\u51fa token \u9650\u5236&#xff09;\u3001\u670d\u52a1\u4e0d\u53ef\u7528\u7b49<\/li>\n<\/ul>\n<p>3. \u4e3b\u6d41\u6a21\u578b\u5bf9\u6bd4<\/p>\n<table>\n<tr>\u63d0\u4f9b\u5546\u4ee3\u8868\u6a21\u578b\u7279\u70b9<\/tr>\n<tbody>\n<tr>\n<td>OpenAI<\/td>\n<td>GPT-4o, GPT-4o-mini<\/td>\n<td>\u7efc\u5408\u80fd\u529b\u5f3a&#xff0c;\u751f\u6001\u6700\u5b8c\u5584<\/td>\n<\/tr>\n<tr>\n<td>Anthropic<\/td>\n<td>Claude 3.5 Sonnet, Claude 3 Opus<\/td>\n<td>\u957f\u6587\u672c\u5904\u7406\u4f18\u79c0&#xff0c;\u5b89\u5168\u6027\u9ad8<\/td>\n<\/tr>\n<tr>\n<td>Google<\/td>\n<td>Gemini 1.5 Pro\/Flash<\/td>\n<td>\u591a\u6a21\u6001\u80fd\u529b\u5f3a&#xff0c;\u514d\u8d39\u989d\u5ea6\u5927<\/td>\n<\/tr>\n<tr>\n<td>\u667a\u8c31<\/td>\n<td>GLM-4<\/td>\n<td>\u4e2d\u6587\u80fd\u529b\u5f3a&#xff0c;\u56fd\u4ea7\u66ff\u4ee3\u9996\u9009<\/td>\n<\/tr>\n<tr>\n<td>\u963f\u91cc<\/td>\n<td>Qwen-Max, Qwen-Plus<\/td>\n<td>\u6027\u4ef7\u6bd4\u9ad8&#xff0c;\u5de5\u5177\u8c03\u7528\u652f\u6301\u597d<\/td>\n<\/tr>\n<tr>\n<td>DeepSeek<\/td>\n<td>DeepSeek-V3, DeepSeek-R1<\/td>\n<td>\u5f00\u6e90\u63a8\u7406\u6a21\u578b&#xff0c;\u6027\u4ef7\u6bd4\u6781\u9ad8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 1&#xff1a;\u5fae\u8f6f\u751f\u6210\u5f0f AI \u5165\u95e8\u8bfe\u7a0b<\/h5>\n<ul>\n<li>GitHub&#xff1a;microsoft\/generative-ai-for-beginners<\/li>\n<li>Stars&#xff1a;75k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;12 \u8282\u8bfe&#xff0c;\u6db5\u76d6\u751f\u6210\u5f0f AI \u57fa\u7840\u3001\u63d0\u793a\u5de5\u7a0b\u3001\u6784\u5efa\u6587\u672c\/\u56fe\u50cf\u751f\u6210\u5e94\u7528\u3001\u5411\u91cf\u6570\u636e\u5e93\u3001\u641c\u7d22\u5f15\u64ce\u96c6\u6210\u7b49<\/li>\n<li>\u6280\u672f\u6808&#xff1a;Python \/ Jupyter Notebook&#xff0c;\u652f\u6301 OpenAI \/ Azure OpenAI<\/li>\n<li>\u9002\u5408\u4eba\u7fa4&#xff1a;\u96f6\u57fa\u7840\u5165\u95e8\u8005<\/li>\n<li>\u5b66\u4e60\u5efa\u8bae&#xff1a;\u8ddf\u7740\u6bcf\u8282\u8bfe\u7684 Notebook \u8d70\u4e00\u904d&#xff0c;\u91cd\u70b9\u7406\u89e3 API \u8c03\u7528\u65b9\u5f0f\u548c Prompt \u8bbe\u8ba1\u601d\u8def<\/li>\n<\/ul>\n<h5>\u9879\u76ee 2&#xff1a;Streamlit &#043; OpenAI \u6784\u5efa\u804a\u5929\u673a\u5668\u4eba<\/h5>\n<ul>\n<li>\u53c2\u8003\u6a21\u677f&#xff1a;Streamlit \u5b98\u65b9 Chat \u6a21\u677f<\/li>\n<li>\u5185\u5bb9&#xff1a;Streamlit \u5b98\u65b9\u63d0\u4f9b\u7684 LLM \u5e94\u7528\u793a\u4f8b\u96c6\u5408&#xff0c;\u5305\u542b\u804a\u5929\u673a\u5668\u4eba\u3001RAG\u3001\u591a\u6a21\u578b\u5207\u6362\u7b49\u591a\u4e2a\u6a21\u677f<\/li>\n<li>\u6280\u672f\u6808&#xff1a;Python &#043; Streamlit &#043; OpenAI API<\/li>\n<li>\u6838\u5fc3\u4ee3\u7801\u7ed3\u6784&#xff1a;<\/li>\n<\/ul>\n<p><span class=\"token keyword\">import<\/span> streamlit <span class=\"token keyword\">as<\/span> st<br \/>\n<span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<\/p>\n<p>client <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>st<span class=\"token punctuation\">.<\/span>title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u6211\u7684\u7b2c\u4e00\u4e2a AI \u804a\u5929\u673a\u5668\u4eba&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">if<\/span> <span class=\"token string\">&#034;messages&#034;<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token keyword\">in<\/span> st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">:<\/span><br \/>\n    st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">.<\/span>messages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> msg <span class=\"token keyword\">in<\/span> st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">.<\/span>messages<span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">with<\/span> st<span class=\"token punctuation\">.<\/span>chat_message<span class=\"token punctuation\">(<\/span>msg<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        st<span class=\"token punctuation\">.<\/span>markdown<span class=\"token punctuation\">(<\/span>msg<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">if<\/span> prompt <span class=\"token operator\">:&#061;<\/span> st<span class=\"token punctuation\">.<\/span>chat_input<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u8bf4\u70b9\u4ec0\u4e48&#8230;&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">.<\/span>messages<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> prompt<span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">with<\/span> st<span class=\"token punctuation\">.<\/span>chat_message<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        st<span class=\"token punctuation\">.<\/span>markdown<span class=\"token punctuation\">(<\/span>prompt<span class=\"token punctuation\">)<\/span><\/p>\n<p>    <span class=\"token keyword\">with<\/span> st<span class=\"token punctuation\">.<\/span>chat_message<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;assistant&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        stream <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n            model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;gpt-4o-mini&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            messages<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> m<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> m<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">}<\/span><br \/>\n                      <span class=\"token keyword\">for<\/span> m <span class=\"token keyword\">in<\/span> st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">.<\/span>messages<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            stream<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token punctuation\">)<\/span><br \/>\n        response <span class=\"token operator\">&#061;<\/span> st<span class=\"token punctuation\">.<\/span>write_stream<span class=\"token punctuation\">(<\/span>stream<span class=\"token punctuation\">)<\/span><\/p>\n<p>    st<span class=\"token punctuation\">.<\/span>session_state<span class=\"token punctuation\">.<\/span>messages<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;assistant&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> response<span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<ul>\n<li>\u6269\u5c55\u7ec3\u4e60&#xff1a;\n<li>\u6dfb\u52a0\u5bf9\u8bdd\u5386\u53f2\u6301\u4e45\u5316&#xff08;\u5b58\u5165 SQLite&#xff09;<\/li>\n<li>\u5b9e\u73b0\u591a\u6a21\u578b\u5207\u6362&#xff08;GPT-4o \/ Claude \/ \u672c\u5730\u6a21\u578b&#xff09;<\/li>\n<li>\u6dfb\u52a0 System Prompt \u81ea\u5b9a\u4e49\u9762\u677f<\/li>\n<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u4e8c&#xff1a;Prompt \u5de5\u7a0b\u4e0e\u5bf9\u8bdd\u7cfb\u7edf<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. Prompt Engineering \u7cfb\u7edf\u65b9\u6cd5<\/p>\n<p>Prompt \u4e0d\u662f&#034;\u5199\u4e00\u53e5\u8bdd&#034;\u90a3\u4e48\u7b80\u5355&#xff0c;\u800c\u662f\u4e00\u5957\u5de5\u7a0b\u5316\u7684\u65b9\u6cd5\u8bba&#xff1a;<\/p>\n<ul>\n<li>\u89d2\u8272\u8bbe\u5b9a&#xff08;Role Prompting&#xff09;&#xff1a;\u7ed9\u6a21\u578b\u4e00\u4e2a\u8eab\u4efd&#xff0c;\u5982&#034;\u4f60\u662f\u4e00\u4e2a\u8d44\u6df1 Python \u5de5\u7a0b\u5e08&#034;<\/li>\n<li>\u5c11\u6837\u672c\u5b66\u4e60&#xff08;Few-shot Learning&#xff09;&#xff1a;\u5728 Prompt \u4e2d\u7ed9\u51fa\u51e0\u4e2a\u793a\u4f8b&#xff0c;\u8ba9\u6a21\u578b\u5b66\u4f1a\u8f93\u51fa\u683c\u5f0f<\/li>\n<li>\u601d\u7ef4\u94fe&#xff08;Chain of Thought, CoT&#xff09;&#xff1a;\u8981\u6c42\u6a21\u578b&#034;\u4e00\u6b65\u6b65\u601d\u8003&#034;&#xff0c;\u663e\u8457\u63d0\u5347\u63a8\u7406\u80fd\u529b<\/li>\n<li>\u7ed3\u6784\u5316\u8f93\u51fa&#xff1a;\u8981\u6c42\u6a21\u578b\u8f93\u51fa JSON\u3001\u8868\u683c\u7b49\u7ed3\u6784\u5316\u683c\u5f0f&#xff0c;\u4fbf\u4e8e\u7a0b\u5e8f\u5904\u7406<\/li>\n<li>Prompt \u6a21\u677f\u5316&#xff1a;\u5c06 Prompt \u62c6\u5206\u4e3a\u56fa\u5b9a\u90e8\u5206\u548c\u53d8\u91cf\u90e8\u5206&#xff0c;\u5b9e\u73b0\u590d\u7528<\/li>\n<\/ul>\n<p>2. \u5bf9\u8bdd\u7ba1\u7406<\/p>\n<p>\u6784\u5efa\u591a\u8f6e\u5bf9\u8bdd\u7cfb\u7edf\u9700\u8981\u89e3\u51b3\u7684\u6838\u5fc3\u95ee\u9898&#xff1a;<\/p>\n<ul>\n<li>\u4e0a\u4e0b\u6587\u7ba1\u7406&#xff1a;\u5bf9\u8bdd\u5386\u53f2\u592a\u957f\u4f1a\u8d85\u51fa token \u9650\u5236&#xff0c;\u9700\u8981\u622a\u65ad\u6216\u6458\u8981<\/li>\n<li>\u8bb0\u5fc6\u673a\u5236&#xff1a;\u77ed\u671f\u8bb0\u5fc6&#xff08;\u5f53\u524d\u5bf9\u8bdd&#xff09;\u3001\u957f\u671f\u8bb0\u5fc6&#xff08;\u7528\u6237\u504f\u597d\u3001\u5386\u53f2\u6458\u8981&#xff09;<\/li>\n<li>\u5bf9\u8bdd\u72b6\u6001\u8ffd\u8e2a&#xff1a;\u8bb0\u5f55\u5f53\u524d\u5bf9\u8bdd\u9636\u6bb5\u3001\u7528\u6237\u610f\u56fe\u3001\u5df2\u6536\u96c6\u7684\u69fd\u4f4d\u4fe1\u606f<\/li>\n<\/ul>\n<p>3. Function Calling&#xff08;\u51fd\u6570\u8c03\u7528&#xff09;<\/p>\n<p>\u8ba9\u6a21\u578b\u80fd\u591f\u8c03\u7528\u5916\u90e8\u5de5\u5177\u7684\u5173\u952e\u6280\u672f&#xff1a;<\/p>\n<p><span class=\"token punctuation\">{<\/span><br \/>\n  <span class=\"token string-property property\">&#034;name&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;get_weather&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n  <span class=\"token string-property property\">&#034;description&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;\u83b7\u53d6\u6307\u5b9a\u57ce\u5e02\u7684\u5929\u6c14\u4fe1\u606f&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n  <span class=\"token string-property property\">&#034;parameters&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string-property property\">&#034;type&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;object&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;properties&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n      <span class=\"token string-property property\">&#034;city&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string-property property\">&#034;type&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;string&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string-property property\">&#034;description&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;\u57ce\u5e02\u540d\u79f0&#034;<\/span><span class=\"token punctuation\">}<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;required&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;city&#034;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n  <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><\/p>\n<p>\u6a21\u578b\u4f1a\u6839\u636e\u7528\u6237\u610f\u56fe\u81ea\u52a8\u51b3\u5b9a\u662f\u5426\u8c03\u7528\u51fd\u6570\u3001\u4f20\u5165\u4ec0\u4e48\u53c2\u6570&#xff0c;\u7136\u540e\u5c06\u51fd\u6570\u8fd4\u56de\u7ed3\u679c\u6574\u5408\u5230\u56de\u590d\u4e2d\u3002<\/p>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 3&#xff1a;LangChain \u5165\u95e8\u6559\u7a0b<\/h5>\n<ul>\n<li>GitHub&#xff1a;langchain-ai\/langchain<\/li>\n<li>Stars&#xff1a;100k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;LangChain \u662f\u6700\u6d41\u884c\u7684 LLM \u5e94\u7528\u5f00\u53d1\u6846\u67b6&#xff0c;\u63d0\u4f9b\u4e86 Prompt \u6a21\u677f\u3001\u94fe\u5f0f\u8c03\u7528\u3001\u8bb0\u5fc6\u7ba1\u7406\u3001\u5de5\u5177\u96c6\u6210\u7b49\u6838\u5fc3\u7ec4\u4ef6<\/li>\n<li>\u5b66\u4e60\u8def\u5f84&#xff1a;\n<li>\u5148\u8dd1\u901a\u5b98\u65b9 Quickstart&#xff1a;python.langchain.com\/docs\/quickstart<\/li>\n<li>\u5b66\u4e60 Prompt Template \u548c Output Parser<\/li>\n<li>\u5b9e\u73b0\u5e26\u8bb0\u5fc6\u7684\u591a\u8f6e\u5bf9\u8bdd<\/li>\n<li>\u5c1d\u8bd5 Function Calling \u96c6\u6210<\/li>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a&#034;\u667a\u80fd\u5ba2\u670d&#034;\u539f\u578b&#xff0c;\u652f\u6301\u591a\u8f6e\u5bf9\u8bdd\u3001\u610f\u56fe\u8bc6\u522b\u3001FAQ \u5339\u914d<\/li>\n<\/ul>\n<h5>\u9879\u76ee 4&#xff1a;\u5fae\u8f6f Promptflow \u2014\u2014 Prompt \u5de5\u7a0b\u5de5\u5177<\/h5>\n<ul>\n<li>GitHub&#xff1a;microsoft\/promptflow<\/li>\n<li>Stars&#xff1a;18k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u5fae\u8f6f\u5f00\u6e90\u7684 LLM \u5e94\u7528\u5f00\u53d1\u5de5\u5177&#xff0c;\u63d0\u4f9b Prompt \u8c03\u8bd5\u3001\u8bc4\u4f30\u3001\u90e8\u7f72\u7684\u5b8c\u6574\u5de5\u4f5c\u6d41<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u53ef\u89c6\u5316 Prompt \u7f16\u6392<\/li>\n<li>\u5185\u7f6e\u8bc4\u4f30\u6846\u67b6&#xff08;\u81ea\u52a8\u68c0\u6d4b Prompt \u8d28\u91cf&#xff09;<\/li>\n<li>\u652f\u6301\u6279\u91cf\u6d4b\u8bd5\u548c\u5bf9\u6bd4\u5b9e\u9a8c<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u7528 Promptflow \u6784\u5efa\u4e00\u4e2a&#034;\u4ee3\u7801\u5ba1\u67e5\u52a9\u624b&#034;&#xff0c;\u8f93\u5165\u4ee3\u7801\u7247\u6bb5\u8f93\u51fa\u5ba1\u67e5\u610f\u89c1<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u4e09&#xff1a;RAG \u68c0\u7d22\u589e\u5f3a\u751f\u6210<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u4e3a\u4ec0\u4e48\u9700\u8981 RAG<\/p>\n<p>\u5927\u6a21\u578b\u7684\u4e24\u5927\u5c40\u9650&#xff1a;<\/p>\n<ul>\n<li>\u77e5\u8bc6\u622a\u6b62&#xff1a;\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u6709\u65f6\u95f4\u622a\u6b62\u70b9&#xff0c;\u65e0\u6cd5\u56de\u7b54\u6700\u65b0\u4fe1\u606f<\/li>\n<li>\u5e7b\u89c9\u95ee\u9898&#xff1a;\u6a21\u578b\u4f1a&#034;\u7f16\u9020&#034;\u770b\u4f3c\u5408\u7406\u4f46\u9519\u8bef\u7684\u7b54\u6848<\/li>\n<\/ul>\n<p>RAG&#xff08;Retrieval-Augmented Generation&#xff09;\u901a\u8fc7\u5728\u751f\u6210\u524d\u5148\u68c0\u7d22\u76f8\u5173\u6587\u6863&#xff0c;\u8ba9\u6a21\u578b\u57fa\u4e8e\u771f\u5b9e\u6570\u636e\u56de\u7b54&#xff0c;\u4ece\u6839\u672c\u4e0a\u89e3\u51b3\u8fd9\u4e24\u4e2a\u95ee\u9898\u3002<\/p>\n<p>2. RAG \u7cfb\u7edf\u67b6\u6784<\/p>\n<p>\u7528\u6237\u63d0\u95ee<br \/>\n    \u2193<br \/>\n\u67e5\u8be2\u6539\u5199&#xff08;Query Rewriting&#xff09;\u2014\u2014 \u4f18\u5316\u68c0\u7d22\u6548\u679c<br \/>\n    \u2193<br \/>\n\u5411\u91cf\u68c0\u7d22&#xff08;Vector Search&#xff09;\u2014\u2014 \u4ece\u77e5\u8bc6\u5e93\u4e2d\u627e\u5230\u76f8\u5173\u7247\u6bb5<br \/>\n    \u2193<br \/>\n\u91cd\u6392\u5e8f&#xff08;Reranking&#xff09;\u2014\u2014 \u5bf9\u68c0\u7d22\u7ed3\u679c\u8fdb\u884c\u7cbe\u6392<br \/>\n    \u2193<br \/>\n\u4e0a\u4e0b\u6587\u7ec4\u88c5 \u2014\u2014 \u5c06\u68c0\u7d22\u7ed3\u679c\u62fc\u5165 Prompt<br \/>\n    \u2193<br \/>\nLLM \u751f\u6210 \u2014\u2014 \u57fa\u4e8e\u4e0a\u4e0b\u6587\u751f\u6210\u56de\u7b54<br \/>\n    \u2193<br \/>\n\u7b54\u6848\u8f93\u51fa&#xff08;\u542b\u5f15\u7528\u6765\u6e90&#xff09;<\/p>\n<p>3. \u5173\u952e\u6280\u672f\u7ec4\u4ef6<\/p>\n<ul>\n<li>\u6587\u6863\u52a0\u8f7d\u5668&#xff08;Document Loader&#xff09;&#xff1a;\u652f\u6301 PDF\u3001Word\u3001\u7f51\u9875\u3001Markdown \u7b49\u683c\u5f0f<\/li>\n<li>\u6587\u672c\u5206\u5272\u5668&#xff08;Text Splitter&#xff09;&#xff1a;\u5c06\u957f\u6587\u6863\u5207\u5206\u4e3a\u5408\u9002\u5927\u5c0f\u7684\u7247\u6bb5&#xff08;chunk&#xff09;\n<ul>\n<li>\u6309\u56fa\u5b9a\u957f\u5ea6\u5206\u5272&#xff08;\u6700\u7b80\u5355&#xff09;<\/li>\n<li>\u6309\u8bed\u4e49\u5206\u5272&#xff08;RecursiveCharacterTextSplitter&#xff09;<\/li>\n<li>\u6309\u53e5\u5b50\/\u6bb5\u843d\u5206\u5272<\/li>\n<\/ul>\n<\/li>\n<li>\u5d4c\u5165\u6a21\u578b&#xff08;Embedding Model&#xff09;&#xff1a;\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u5411\u91cf\u8868\u793a\n<ul>\n<li>OpenAI text-embedding-3-small\/large<\/li>\n<li>BGE \/ M3E&#xff08;\u4e2d\u6587\u4f18\u5316&#xff09;<\/li>\n<li>Cohere Embed<\/li>\n<\/ul>\n<\/li>\n<li>\u5411\u91cf\u6570\u636e\u5e93&#xff08;Vector Database&#xff09;&#xff1a;\u5b58\u50a8\u548c\u68c0\u7d22\u5411\u91cf\n<ul>\n<li>Chroma&#xff08;\u8f7b\u91cf&#xff0c;\u9002\u5408\u672c\u5730\u5f00\u53d1&#xff09;<\/li>\n<li>Milvus \/ Zilliz&#xff08;\u751f\u4ea7\u7ea7&#xff0c;\u652f\u6301\u5206\u5e03\u5f0f&#xff09;<\/li>\n<li>Pinecone&#xff08;\u5168\u6258\u7ba1 SaaS&#xff09;<\/li>\n<li>FAISS&#xff08;Facebook \u5f00\u6e90&#xff0c;\u9ad8\u6027\u80fd&#xff09;<\/li>\n<\/ul>\n<\/li>\n<li>\u68c0\u7d22\u7b56\u7565&#xff1a;\n<ul>\n<li>\u7a20\u5bc6\u68c0\u7d22&#xff08;Dense Retrieval&#xff09;&#xff1a;\u57fa\u4e8e\u5411\u91cf\u76f8\u4f3c\u5ea6<\/li>\n<li>\u7a00\u758f\u68c0\u7d22&#xff08;Sparse Retrieval&#xff09;&#xff1a;\u57fa\u4e8e BM25 \u7b49\u4f20\u7edf\u7b97\u6cd5<\/li>\n<li>\u6df7\u5408\u68c0\u7d22&#xff08;Hybrid Search&#xff09;&#xff1a;\u4e24\u8005\u7ed3\u5408&#xff0c;\u6548\u679c\u6700\u4f73<\/li>\n<li>HyDE&#xff1a;\u5148\u8ba9\u6a21\u578b\u751f\u6210\u5047\u8bbe\u6027\u7b54\u6848&#xff0c;\u518d\u7528\u7b54\u6848\u53bb\u68c0\u7d22<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>4. RAG \u4f18\u5316\u6280\u5de7<\/p>\n<ul>\n<li>\u5206\u5757\u7b56\u7565\u4f18\u5316&#xff1a;chunk_size \u548c chunk_overlap \u7684\u8c03\u53c2<\/li>\n<li>\u67e5\u8be2\u6539\u5199&#xff1a;\u5c06\u7528\u6237\u53e3\u8bed\u5316\u95ee\u9898\u6539\u5199\u4e3a\u66f4\u9002\u5408\u68c0\u7d22\u7684\u5f62\u5f0f<\/li>\n<li>\u4e0a\u4e0b\u6587\u538b\u7f29&#xff1a;\u53ea\u4fdd\u7559\u68c0\u7d22\u7ed3\u679c\u4e2d\u4e0e\u95ee\u9898\u6700\u76f8\u5173\u7684\u90e8\u5206<\/li>\n<li>\u591a\u8def\u53ec\u56de&#xff1a;\u540c\u65f6\u4f7f\u7528\u591a\u79cd\u68c0\u7d22\u65b9\u5f0f&#xff0c;\u53d6\u5e76\u96c6<\/li>\n<li>Reranking&#xff1a;\u7528 Cross-Encoder \u6a21\u578b\u5bf9\u68c0\u7d22\u7ed3\u679c\u91cd\u65b0\u6392\u5e8f<\/li>\n<\/ul>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 5&#xff1a;RAG \u4ece\u96f6\u5b9e\u73b0\u6559\u7a0b<\/h5>\n<ul>\n<li>GitHub&#xff1a;langchain-ai\/rag-from-scratch<\/li>\n<li>Stars&#xff1a;8.5k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;LangChain \u5b98\u65b9\u51fa\u54c1\u7684 RAG \u4ece\u96f6\u5b9e\u73b0\u6559\u7a0b&#xff0c;\u6bcf\u4e2a Notebook \u5bf9\u5e94\u4e00\u4e2a RAG \u6280\u672f\u70b9<\/li>\n<li>\u5b66\u4e60\u8def\u5f84&#xff1a;\n<li>\u57fa\u7840 RAG&#xff1a;\u6587\u6863\u52a0\u8f7d \u2192 \u5206\u5757 \u2192 \u5d4c\u5165 \u2192 \u68c0\u7d22 \u2192 \u751f\u6210<\/li>\n<li>\u9ad8\u7ea7 RAG&#xff1a;\u67e5\u8be2\u6539\u5199\u3001\u6df7\u5408\u68c0\u7d22\u3001Reranking<\/li>\n<li>\u751f\u4ea7\u7ea7 RAG&#xff1a;\u8bc4\u4f30\u3001\u76d1\u63a7\u3001\u4f18\u5316<\/li>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa&#034;\u4e2a\u4eba\u77e5\u8bc6\u5e93\u95ee\u7b54\u7cfb\u7edf&#034;&#xff0c;\u652f\u6301\u4e0a\u4f20 PDF\/Markdown \u6587\u6863&#xff0c;\u57fa\u4e8e\u6587\u6863\u5185\u5bb9\u56de\u7b54\u95ee\u9898<\/li>\n<\/ul>\n<h5>\u9879\u76ee 6&#xff1a;Langchain-Chatchat \u2014\u2014 \u4e2d\u6587 RAG \u5e94\u7528<\/h5>\n<ul>\n<li>GitHub&#xff1a;chatchat-space\/Langchain-Chatchat<\/li>\n<li>Stars&#xff1a;32k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u57fa\u4e8e Langchain \u7684\u4e2d\u6587 RAG \u5e94\u7528&#xff0c;\u652f\u6301\u591a\u79cd\u6587\u6863\u683c\u5f0f\u3001\u591a\u79cd\u5411\u91cf\u6570\u636e\u5e93\u3001\u591a\u79cd LLM<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u5f00\u7bb1\u5373\u7528\u7684\u4e2d\u6587 RAG \u65b9\u6848<\/li>\n<li>\u652f\u6301\u672c\u5730\u77e5\u8bc6\u5e93\u7ba1\u7406<\/li>\n<li>Web UI \u754c\u9762<\/li>\n<li>\u652f\u6301 OpenAI \/ \u672c\u5730\u6a21\u578b<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\n<li>\u90e8\u7f72\u5e76\u8fd0\u884c\u9879\u76ee<\/li>\n<li>\u4e0a\u4f20\u81ea\u5df1\u7684\u5b66\u4e60\u7b14\u8bb0&#xff0c;\u6d4b\u8bd5\u95ee\u7b54\u6548\u679c<\/li>\n<li>\u5c1d\u8bd5\u4fee\u6539\u5206\u5757\u7b56\u7565&#xff0c;\u5bf9\u6bd4\u6548\u679c\u5dee\u5f02<\/li>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 7&#xff1a;awesome-llm-apps&#xff08;RAG \u5e94\u7528\u5408\u96c6&#xff09;<\/h5>\n<ul>\n<li>GitHub&#xff1a;Shubhamsaboo\/awesome-llm-apps<\/li>\n<li>Stars&#xff1a;105k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;100&#043; \u4e2a LLM \u5e94\u7528\u6a21\u677f&#xff0c;\u6db5\u76d6 RAG\u3001Agent\u3001\u591a\u6a21\u6001\u7b49\u5404\u7c7b\u573a\u666f<\/li>\n<li>\u63a8\u8350\u7ec3\u4e60\u7684 RAG \u793a\u4f8b&#xff1a;\n<ul>\n<li>Chat with PDF&#xff08;\u4e0e PDF \u5bf9\u8bdd&#xff09;<\/li>\n<li>Chat with GitHub Repo&#xff08;\u4e0e\u4ee3\u7801\u4ed3\u5e93\u5bf9\u8bdd&#xff09;<\/li>\n<li>Chat with Research Papers&#xff08;\u4e0e\u8bba\u6587\u5bf9\u8bdd&#xff09;<\/li>\n<li>RAG with Wikipedia&#xff08;\u7ef4\u57fa\u767e\u79d1\u77e5\u8bc6\u95ee\u7b54&#xff09;<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u56db&#xff1a;AI Agent \u667a\u80fd\u4f53\u5f00\u53d1<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u4ec0\u4e48\u662f AI Agent<\/p>\n<p>AI Agent \u4e0d\u53ea\u662f&#034;\u80fd\u8c03\u7528\u5de5\u5177\u7684\u804a\u5929\u673a\u5668\u4eba&#034;&#xff0c;\u800c\u662f\u4e00\u4e2a\u5177\u5907\u81ea\u4e3b\u89c4\u5212\u3001\u51b3\u7b56\u548c\u6267\u884c\u80fd\u529b\u7684\u667a\u80fd\u7cfb\u7edf\u3002\u4e0e\u4f20\u7edf Chatbot \u7684\u533a\u522b&#xff1a;<\/p>\n<table>\n<tr>\u7279\u6027ChatbotAI Agent<\/tr>\n<tbody>\n<tr>\n<td>\u4ea4\u4e92\u6a21\u5f0f<\/td>\n<td>\u4e00\u95ee\u4e00\u7b54<\/td>\n<td>\u81ea\u4e3b\u89c4\u5212\u6267\u884c<\/td>\n<\/tr>\n<tr>\n<td>\u5de5\u5177\u4f7f\u7528<\/td>\n<td>\u65e0\u6216\u6709\u9650<\/td>\n<td>\u52a8\u6001\u9009\u62e9\u548c\u8c03\u7528\u5de5\u5177<\/td>\n<\/tr>\n<tr>\n<td>\u4efb\u52a1\u590d\u6742\u5ea6<\/td>\n<td>\u5355\u8f6e\u5bf9\u8bdd<\/td>\n<td>\u591a\u6b65\u9aa4\u590d\u6742\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td>\u8bb0\u5fc6<\/td>\n<td>\u77ed\u671f<\/td>\n<td>\u77ed\u671f &#043; \u957f\u671f\u8bb0\u5fc6<\/td>\n<\/tr>\n<tr>\n<td>\u53cd\u601d\u80fd\u529b<\/td>\n<td>\u65e0<\/td>\n<td>\u80fd\u81ea\u6211\u68c0\u67e5\u548c\u7ea0\u9519<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>2. Agent \u6838\u5fc3\u7ec4\u4ef6<\/p>\n<p>                    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n                    \u2502     LLM \u5927\u8111      \u2502<br \/>\n                    \u2502  &#xff08;\u63a8\u7406\u4e0e\u51b3\u7b56&#xff09;    \u2502<br \/>\n                    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n                             \u2502<br \/>\n            \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n            \u2193                \u2193                \u2193<br \/>\n     \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510    \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n     \u2502  \u8bb0\u5fc6\u7cfb\u7edf  \u2502    \u2502  \u5de5\u5177\u5e93   \u2502    \u2502  \u89c4\u5212\u5f15\u64ce  \u2502<br \/>\n     \u2502          \u2502    \u2502          \u2502    \u2502          \u2502<br \/>\n     \u2502 \u77ed\u671f\u8bb0\u5fc6  \u2502    \u2502 \u641c\u7d22\u5f15\u64ce  \u2502    \u2502 \u4efb\u52a1\u5206\u89e3  \u2502<br \/>\n     \u2502 \u957f\u671f\u8bb0\u5fc6  \u2502    \u2502 \u4ee3\u7801\u6267\u884c  \u2502    \u2502 \u53cd\u601d\u4fee\u6b63  \u2502<br \/>\n     \u2502 \u5de5\u4f5c\u8bb0\u5fc6  \u2502    \u2502 API\u8c03\u7528   \u2502    \u2502 \u65b9\u6848\u8bc4\u4f30  \u2502<br \/>\n     \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518    \u2502 \u6570\u636e\u5e93    \u2502    \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n                     \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n<ul>\n<li>\u89c4\u5212&#xff08;Planning&#xff09;&#xff1a;\u5c06\u590d\u6742\u4efb\u52a1\u5206\u89e3\u4e3a\u53ef\u6267\u884c\u7684\u5b50\u4efb\u52a1\n<ul>\n<li>\u4efb\u52a1\u5206\u89e3&#xff08;Decomposition&#xff09;<\/li>\n<li>\u81ea\u6211\u53cd\u601d&#xff08;Reflection&#xff09;<\/li>\n<li>\u65b9\u6848\u8bc4\u4f30&#xff08;Self-Critique&#xff09;<\/li>\n<\/ul>\n<\/li>\n<li>\u8bb0\u5fc6&#xff08;Memory&#xff09;&#xff1a;\n<ul>\n<li>\u77ed\u671f\u8bb0\u5fc6&#xff1a;\u5f53\u524d\u5bf9\u8bdd\u4e0a\u4e0b\u6587<\/li>\n<li>\u957f\u671f\u8bb0\u5fc6&#xff1a;\u5411\u91cf\u6570\u636e\u5e93\u5b58\u50a8\u7684\u5386\u53f2\u4fe1\u606f<\/li>\n<li>\u5de5\u4f5c\u8bb0\u5fc6&#xff1a;\u5f53\u524d\u4efb\u52a1\u7684\u4e2d\u95f4\u72b6\u6001<\/li>\n<\/ul>\n<\/li>\n<li>\u5de5\u5177\u4f7f\u7528&#xff08;Tool Use&#xff09;&#xff1a;\n<ul>\n<li>Function Calling&#xff1a;\u6a21\u578b\u8f93\u51fa\u7ed3\u6784\u5316\u7684\u51fd\u6570\u8c03\u7528\u6307\u4ee4<\/li>\n<li>MCP&#xff08;Model Context Protocol&#xff09;&#xff1a;\u6807\u51c6\u5316\u7684\u5de5\u5177\u63a5\u5165\u534f\u8bae<\/li>\n<li>\u4ee3\u7801\u6267\u884c&#xff1a;\u8ba9 Agent \u7f16\u5199\u5e76\u8fd0\u884c\u4ee3\u7801<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>3. ReAct \u6a21\u5f0f<\/p>\n<p>\u6700\u7ecf\u5178\u7684 Agent \u63a8\u7406\u6a21\u5f0f&#xff1a;Reasoning &#043; Acting<\/p>\n<p>Thought: \u6211\u9700\u8981\u641c\u7d222024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u7684\u83b7\u5956\u8005<br \/>\nAction: search(&#034;2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u83b7\u5956\u8005&#034;)<br \/>\nObservation: 2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u4e86 John Hopfield \u548c Geoffrey Hinton&#8230;<br \/>\nThought: \u6211\u5df2\u7ecf\u627e\u5230\u4e86\u7b54\u6848&#xff0c;\u53ef\u4ee5\u56de\u590d\u7528\u6237\u4e86<br \/>\nAction: respond(&#034;2024\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u6388\u4e88\u4e86 John Hopfield \u548c Geoffrey Hinton&#8230;&#034;)<\/p>\n<p>4. MCP&#xff08;Model Context Protocol&#xff09;<\/p>\n<p>Anthropic \u63a8\u51fa\u7684\u5f00\u653e\u534f\u8bae&#xff0c;\u6807\u51c6\u5316\u4e86 AI \u6a21\u578b\u4e0e\u5916\u90e8\u5de5\u5177\/\u6570\u636e\u6e90\u7684\u4ea4\u4e92\u65b9\u5f0f&#xff1a;<\/p>\n<ul>\n<li>MCP Server&#xff1a;\u63d0\u4f9b\u5de5\u5177\u548c\u6570\u636e\u6e90\u7684\u670d\u52a1\u7aef<\/li>\n<li>MCP Client&#xff1a;AI \u5e94\u7528\u7aef<\/li>\n<li>\u6838\u5fc3\u80fd\u529b&#xff1a;Resources&#xff08;\u8d44\u6e90&#xff09;\u3001Tools&#xff08;\u5de5\u5177&#xff09;\u3001Prompts&#xff08;\u63d0\u793a\u6a21\u677f&#xff09;<\/li>\n<\/ul>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 8&#xff1a;\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b<\/h5>\n<ul>\n<li>GitHub&#xff1a;microsoft\/ai-agents-for-beginners<\/li>\n<li>Stars&#xff1a;50k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;15 \u8282\u8bfe&#xff0c;\u7cfb\u7edf\u8bb2\u89e3 AI Agent \u7684\u8bbe\u8ba1\u6a21\u5f0f\u3001\u5de5\u5177\u4f7f\u7528\u3001\u591a Agent \u534f\u4f5c\u7b49<\/li>\n<li>\u8bed\u8a00\u652f\u6301&#xff1a;\u6709\u4e2d\u6587\u7ffb\u8bd1\u7248\u672c<\/li>\n<li>\u5b66\u4e60\u5efa\u8bae&#xff1a;\u6bcf\u8282\u8bfe\u914d\u5408\u4ee3\u7801\u793a\u4f8b\u52a8\u624b\u5b9e\u8df5&#xff0c;\u91cd\u70b9\u7406\u89e3 Agent \u7684\u8bbe\u8ba1\u6a21\u5f0f<\/li>\n<\/ul>\n<h5>\u9879\u76ee 9&#xff1a;Agent Learning \u2014\u2014 \u7cfb\u7edf\u6027 Agent \u5b66\u4e60\u8def\u7ebf<\/h5>\n<ul>\n<li>GitHub&#xff1a;Haozhe-Xing\/agent_learning<\/li>\n<li>\u5185\u5bb9&#xff1a;\u7cfb\u7edf\u6027\u7684 AI Agent \u5b66\u4e60\u8def\u7ebf&#xff0c;\u6db5\u76d6 LLM \u57fa\u7840\u3001RAG\u3001\u8bb0\u5fc6\u3001\u5de5\u5177\u4f7f\u7528\u3001Function Calling\u3001MCP \u7b49<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u5b9e\u8df5\u5bfc\u5411&#xff0c;\u6bcf\u4e2a\u6a21\u5757\u90fd\u6709\u53ef\u8fd0\u884c\u7684\u4ee3\u7801<\/li>\n<li>\u6e10\u8fdb\u5f0f\u5b66\u4e60\u8def\u5f84<\/li>\n<li>\u8986\u76d6\u4ece\u57fa\u7840\u5230\u9ad8\u7ea7\u7684\u5b8c\u6574\u94fe\u8def<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 10&#xff1a;LLM-RAG-Agent \u7efc\u5408\u6559\u7a0b<\/h5>\n<ul>\n<li>GitHub&#xff1a;mac999\/LLM-RAG-Agent-Tutorial<\/li>\n<li>\u5185\u5bb9&#xff1a;LLM\u3001RAG\u3001AI Agent \u548c MCP \u7684\u5b8c\u6574\u5f00\u53d1\u6559\u7a0b<\/li>\n<li>\u6db5\u76d6\u5185\u5bb9&#xff1a;\n<ul>\n<li>LLM \u57fa\u7840\u4e0e API \u8c03\u7528<\/li>\n<li>RAG \u7cfb\u7edf\u6784\u5efa<\/li>\n<li>Agent \u67b6\u6784\u8bbe\u8ba1<\/li>\n<li>MCP \u534f\u8bae\u5b9e\u73b0<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a&#034;\u7814\u7a76\u52a9\u624b Agent&#034;&#xff0c;\u80fd\u591f\u81ea\u52a8\u641c\u7d22\u8bba\u6587\u3001\u603b\u7ed3\u8981\u70b9\u3001\u751f\u6210\u62a5\u544a<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u4e94&#xff1a;\u591a Agent \u534f\u4f5c\u4e0e\u5de5\u4f5c\u6d41\u7f16\u6392<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u591a Agent \u67b6\u6784\u6a21\u5f0f<\/p>\n<ul>\n<li>\u4e3b\u4ece\u6a21\u5f0f&#xff08;Orchestrator-Worker&#xff09;&#xff1a;\u4e00\u4e2a\u4e3b Agent \u5206\u914d\u4efb\u52a1&#xff0c;\u591a\u4e2a\u5b50 Agent \u6267\u884c<\/li>\n<li>\u5bf9\u7b49\u534f\u4f5c\u6a21\u5f0f&#xff08;Peer-to-Peer&#xff09;&#xff1a;\u591a\u4e2a Agent \u5e73\u7b49\u534f\u4f5c&#xff0c;\u901a\u8fc7\u6d88\u606f\u4f20\u9012\u534f\u8c03<\/li>\n<li>\u6d41\u6c34\u7ebf\u6a21\u5f0f&#xff08;Pipeline&#xff09;&#xff1a;Agent \u6309\u987a\u5e8f\u5904\u7406&#xff0c;\u524d\u4e00\u4e2a\u7684\u8f93\u51fa\u662f\u540e\u4e00\u4e2a\u7684\u8f93\u5165<\/li>\n<li>\u8fa9\u8bba\u6a21\u5f0f&#xff08;Debate&#xff09;&#xff1a;\u591a\u4e2a Agent \u5c31\u540c\u4e00\u95ee\u9898\u63d0\u51fa\u4e0d\u540c\u89c2\u70b9&#xff0c;\u6700\u7ec8\u8fbe\u6210\u5171\u8bc6<\/li>\n<\/ul>\n<p>2. \u5de5\u4f5c\u6d41\u7f16\u6392<\/p>\n<p>\u590d\u6742 AI \u5e94\u7528\u901a\u5e38\u9700\u8981\u5c06\u591a\u4e2a\u6b65\u9aa4\u4e32\u8054\u6210\u5de5\u4f5c\u6d41&#xff1a;<\/p>\n<ul>\n<li>\u6761\u4ef6\u5206\u652f&#xff1a;\u6839\u636e\u4e2d\u95f4\u7ed3\u679c\u9009\u62e9\u4e0d\u540c\u7684\u5904\u7406\u8def\u5f84<\/li>\n<li>\u5faa\u73af\u8fed\u4ee3&#xff1a;\u91cd\u590d\u6267\u884c\u76f4\u5230\u6ee1\u8db3\u6761\u4ef6&#xff08;\u5982\u81ea\u6211\u53cd\u601d\u5faa\u73af&#xff09;<\/li>\n<li>\u5e76\u884c\u6267\u884c&#xff1a;\u591a\u4e2a Agent \u540c\u65f6\u5904\u7406\u4e0d\u540c\u5b50\u4efb\u52a1<\/li>\n<li>\u4eba\u673a\u534f\u4f5c&#xff08;Human-in-the-Loop&#xff09;&#xff1a;\u5173\u952e\u8282\u70b9\u5f15\u5165\u4eba\u5de5\u5ba1\u6838<\/li>\n<\/ul>\n<p>3. \u4e3b\u6d41 Agent \u6846\u67b6\u5bf9\u6bd4<\/p>\n<table>\n<tr>\u6846\u67b6\u5b9a\u4f4d\u7279\u70b9<\/tr>\n<tbody>\n<tr>\n<td>LangGraph<\/td>\n<td>\u56fe\u72b6\u6001\u673a Agent<\/td>\n<td>\u7075\u6d3b\u7684\u56fe\u7ed3\u6784&#xff0c;\u9002\u5408\u590d\u6742\u5de5\u4f5c\u6d41<\/td>\n<\/tr>\n<tr>\n<td>CrewAI<\/td>\n<td>\u591a Agent \u534f\u4f5c<\/td>\n<td>\u89d2\u8272\u5b9a\u4e49\u76f4\u89c2&#xff0c;\u4e0a\u624b\u5feb<\/td>\n<\/tr>\n<tr>\n<td>AutoGen<\/td>\n<td>\u591a Agent \u5bf9\u8bdd<\/td>\n<td>\u5fae\u8f6f\u51fa\u54c1&#xff0c;\u652f\u6301\u4ee3\u7801\u6267\u884c<\/td>\n<\/tr>\n<tr>\n<td>Dify<\/td>\n<td>\u4f4e\u4ee3\u7801\u5e73\u53f0<\/td>\n<td>\u53ef\u89c6\u5316\u7f16\u6392&#xff0c;\u9002\u5408\u5feb\u901f\u539f\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 11&#xff1a;CrewAI \u591a Agent \u6846\u67b6<\/h5>\n<ul>\n<li>GitHub&#xff1a;crewAIInc\/crewAI<\/li>\n<li>Stars&#xff1a;28k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u7528\u4e8e\u7f16\u6392\u89d2\u8272\u626e\u6f14\u5f0f AI Agent \u7684\u6846\u67b6&#xff0c;\u72ec\u7acb\u4e8e LangChain \u6784\u5efa<\/li>\n<li>\u6838\u5fc3\u6982\u5ff5&#xff1a;\n<ul>\n<li>Agent&#xff1a;\u5b9a\u4e49\u89d2\u8272\u3001\u76ee\u6807\u3001\u80cc\u666f\u6545\u4e8b<\/li>\n<li>Task&#xff1a;\u5b9a\u4e49\u5177\u4f53\u4efb\u52a1\u548c\u9884\u671f\u8f93\u51fa<\/li>\n<li>Crew&#xff1a;\u5c06 Agent \u548c Task \u7ec4\u7ec7\u6210\u56e2\u961f<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a&#034;\u5185\u5bb9\u521b\u4f5c\u56e2\u961f&#034;\n<ul>\n<li>\u7814\u7a76\u5458 Agent&#xff1a;\u8d1f\u8d23\u641c\u7d22\u548c\u6574\u7406\u8d44\u6599<\/li>\n<li>\u5199\u624b Agent&#xff1a;\u8d1f\u8d23\u64b0\u5199\u6587\u7ae0<\/li>\n<li>\u7f16\u8f91 Agent&#xff1a;\u8d1f\u8d23\u5ba1\u6821\u548c\u4f18\u5316<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 12&#xff1a;LangGraph \u5de5\u4f5c\u6d41\u5f15\u64ce<\/h5>\n<ul>\n<li>GitHub&#xff1a;langchain-ai\/langgraph<\/li>\n<li>Stars&#xff1a;35k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u57fa\u4e8e\u56fe\u7ed3\u6784\u7684 Agent \u5de5\u4f5c\u6d41\u6846\u67b6&#xff0c;LangChain \u5b98\u65b9\u51fa\u54c1<\/li>\n<li>\u6838\u5fc3\u7279\u70b9&#xff1a;\n<ul>\n<li>\u72b6\u6001\u673a\u9a71\u52a8&#xff0c;\u652f\u6301\u5faa\u73af\u548c\u6761\u4ef6\u5206\u652f<\/li>\n<li>\u5185\u7f6e\u6301\u4e45\u5316\u548c\u68c0\u67e5\u70b9<\/li>\n<li>\u652f\u6301 Human-in-the-Loop<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a&#034;\u5ba2\u670d\u5de5\u5355\u5904\u7406\u7cfb\u7edf&#034;\n<ul>\n<li>\u610f\u56fe\u8bc6\u522b\u8282\u70b9 \u2192 \u5206\u7c7b\u8def\u7531\u8282\u70b9 \u2192 \u5904\u7406\u8282\u70b9 \u2192 \u5ba1\u6838\u8282\u70b9<\/li>\n<li>\u652f\u6301\u4eba\u5de5\u4ecb\u5165\u548c\u5de5\u5355\u5347\u7ea7<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 13&#xff1a;AutoGen \u591a Agent \u5bf9\u8bdd<\/h5>\n<ul>\n<li>GitHub&#xff1a;microsoft\/autogen<\/li>\n<li>Stars&#xff1a;42k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u5fae\u8f6f\u5f00\u6e90\u7684\u591a Agent \u5bf9\u8bdd\u6846\u67b6<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>Agent \u4e4b\u95f4\u901a\u8fc7\u5bf9\u8bdd\u534f\u4f5c<\/li>\n<li>\u652f\u6301\u4ee3\u7801\u751f\u6210\u548c\u6267\u884c<\/li>\n<li>\u7075\u6d3b\u7684\u5bf9\u8bdd\u6a21\u5f0f&#xff08;\u53cc\u4eba\u3001\u7fa4\u804a\u3001\u5d4c\u5957&#xff09;<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a&#034;\u4ee3\u7801\u5f00\u53d1\u56e2\u961f&#034;\n<ul>\n<li>\u4ea7\u54c1\u7ecf\u7406 Agent&#xff1a;\u5206\u6790\u9700\u6c42<\/li>\n<li>\u67b6\u6784\u5e08 Agent&#xff1a;\u8bbe\u8ba1\u65b9\u6848<\/li>\n<li>\u5f00\u53d1\u8005 Agent&#xff1a;\u7f16\u5199\u4ee3\u7801<\/li>\n<li>\u6d4b\u8bd5\u8005 Agent&#xff1a;\u7f16\u5199\u6d4b\u8bd5<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u516d&#xff1a;\u672c\u5730\u90e8\u7f72\u4e0e\u79c1\u6709\u5316<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u4e3a\u4ec0\u4e48\u9700\u8981\u672c\u5730\u90e8\u7f72<\/p>\n<ul>\n<li>\u6570\u636e\u9690\u79c1&#xff1a;\u654f\u611f\u6570\u636e\u4e0d\u51fa\u672c\u5730\u7f51\u7edc<\/li>\n<li>\u6210\u672c\u63a7\u5236&#xff1a;\u5927\u91cf\u8c03\u7528\u65f6\u672c\u5730\u90e8\u7f72\u66f4\u7ecf\u6d4e<\/li>\n<li>\u79bb\u7ebf\u53ef\u7528&#xff1a;\u4e0d\u4f9d\u8d56\u5916\u90e8\u7f51\u7edc<\/li>\n<li>\u5b9a\u5236\u5316&#xff1a;\u53ef\u4ee5\u6839\u636e\u4e1a\u52a1\u9700\u6c42\u5fae\u8c03\u6a21\u578b<\/li>\n<\/ul>\n<p>2. \u6a21\u578b\u63a8\u7406\u5f15\u64ce<\/p>\n<ul>\n<li>Ollama&#xff1a;\u6700\u7b80\u5355\u7684\u672c\u5730\u6a21\u578b\u8fd0\u884c\u5de5\u5177&#xff0c;\u4e00\u884c\u547d\u4ee4\u542f\u52a8<\/li>\n<li>vLLM&#xff1a;\u9ad8\u6027\u80fd\u63a8\u7406\u5f15\u64ce&#xff0c;\u652f\u6301 PagedAttention&#xff0c;\u541e\u5410\u91cf\u9ad8<\/li>\n<li>llama.cpp&#xff1a;C&#043;&#043; \u5b9e\u73b0\u7684\u63a8\u7406\u5f15\u64ce&#xff0c;\u652f\u6301 CPU \u63a8\u7406<\/li>\n<li>TensorRT-LLM&#xff1a;NVIDIA \u5b98\u65b9\u4f18\u5316\u5f15\u64ce&#xff0c;GPU \u63a8\u7406\u6700\u5feb<\/li>\n<\/ul>\n<p>3. \u6a21\u578b\u91cf\u5316<\/p>\n<p>\u5c06\u9ad8\u7cbe\u5ea6\u6a21\u578b\u538b\u7f29\u4e3a\u4f4e\u7cbe\u5ea6&#xff0c;\u51cf\u5c11\u663e\u5b58\u5360\u7528\u548c\u8ba1\u7b97\u91cf&#xff1a;<\/p>\n<ul>\n<li>GGUF \u683c\u5f0f&#xff1a;llama.cpp \u4f7f\u7528\u7684\u91cf\u5316\u683c\u5f0f<\/li>\n<li>GPTQ&#xff1a;\u8bad\u7ec3\u540e\u91cf\u5316&#xff0c;\u7cbe\u5ea6\u635f\u5931\u5c0f<\/li>\n<li>AWQ&#xff1a;\u6fc0\u6d3b\u611f\u77e5\u91cf\u5316&#xff0c;\u6548\u679c\u4f18\u4e8e GPTQ<\/li>\n<li>INT4\/INT8&#xff1a;\u91cf\u5316\u7cbe\u5ea6\u7ea7\u522b&#xff0c;INT4 \u4f53\u79ef\u6700\u5c0f\u4f46\u7cbe\u5ea6\u635f\u5931\u6700\u5927<\/li>\n<\/ul>\n<p>4. \u6a21\u578b\u5fae\u8c03&#xff08;Fine-tuning&#xff09;<\/p>\n<p>\u5f53\u901a\u7528\u6a21\u578b\u4e0d\u80fd\u6ee1\u8db3\u7279\u5b9a\u4e1a\u52a1\u9700\u6c42\u65f6&#xff1a;<\/p>\n<ul>\n<li>\u5168\u91cf\u5fae\u8c03&#xff08;Full Fine-tuning&#xff09;&#xff1a;\u66f4\u65b0\u6240\u6709\u53c2\u6570&#xff0c;\u6548\u679c\u6700\u597d\u4f46\u6210\u672c\u9ad8<\/li>\n<li>LoRA&#xff1a;\u53ea\u8bad\u7ec3\u4f4e\u79e9\u9002\u914d\u5668&#xff0c;\u53c2\u6570\u91cf\u4ec5\u4e3a\u539f\u6a21\u578b\u7684 0.1%-1%<\/li>\n<li>QLoRA&#xff1a;\u91cf\u5316 &#043; LoRA&#xff0c;\u8fdb\u4e00\u6b65\u964d\u4f4e\u663e\u5b58\u9700\u6c42<\/li>\n<li>RLHF \/ DPO&#xff1a;\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5bf9\u9f50\u8bad\u7ec3<\/li>\n<\/ul>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 14&#xff1a;Ollama \u672c\u5730\u6a21\u578b\u90e8\u7f72<\/h5>\n<ul>\n<li>GitHub&#xff1a;ollama\/ollama<\/li>\n<li>Stars&#xff1a;120k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u4e00\u884c\u547d\u4ee4\u5728\u672c\u5730\u8fd0\u884c\u5927\u6a21\u578b<\/li>\n<li>\u5feb\u901f\u5f00\u59cb&#xff1a;<\/li>\n<\/ul>\n<p><span class=\"token comment\"># \u5b89\u88c5 Ollama<\/span><br \/>\n<span class=\"token function\">curl<\/span> <span class=\"token parameter variable\">-fsSL<\/span> https:\/\/ollama.com\/install.sh <span class=\"token operator\">|<\/span> <span class=\"token function\">sh<\/span><\/p>\n<p><span class=\"token comment\"># \u8fd0\u884c\u6a21\u578b<\/span><br \/>\nollama run llama3.1        <span class=\"token comment\"># Meta Llama 3.1<\/span><br \/>\nollama run qwen2.5         <span class=\"token comment\"># \u901a\u4e49\u5343\u95ee 2.5<\/span><br \/>\nollama run deepseek-r1     <span class=\"token comment\"># DeepSeek R1 \u63a8\u7406\u6a21\u578b<\/span><br \/>\nollama run mistral         <span class=\"token comment\"># Mistral 7B<\/span><\/p>\n<p><span class=\"token comment\"># \u5217\u51fa\u5df2\u4e0b\u8f7d\u7684\u6a21\u578b<\/span><br \/>\nollama list<\/p>\n<p><span class=\"token comment\"># API \u8c03\u7528&#xff08;\u517c\u5bb9 OpenAI \u683c\u5f0f&#xff09;<\/span><br \/>\n<span class=\"token function\">curl<\/span> http:\/\/localhost:11434\/v1\/chat\/completions <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">-H<\/span> <span class=\"token string\">&#034;Content-Type: application\/json&#034;<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">-d<\/span> <span class=\"token string\">&#039;{&#034;model&#034;:&#034;llama3.1&#034;,&#034;messages&#034;:[{&#034;role&#034;:&#034;user&#034;,&#034;content&#034;:&#034;\u4f60\u597d&#034;}]}&#039;<\/span><\/p>\n<ul>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\n<li>\u5b89\u88c5 Ollama&#xff0c;\u4e0b\u8f7d 3 \u4e2a\u4e0d\u540c\u89c4\u6a21\u7684\u6a21\u578b\u5bf9\u6bd4\u6548\u679c<\/li>\n<li>\u4f7f\u7528 Open WebUI \u4e3a\u672c\u5730\u6a21\u578b\u6dfb\u52a0 Web \u754c\u9762<\/li>\n<li>\u6d4b\u8bd5\u4e0d\u540c\u6a21\u578b\u5728\u4e2d\u6587\u95ee\u7b54\u3001\u4ee3\u7801\u751f\u6210\u7b49\u4efb\u52a1\u4e0a\u7684\u8868\u73b0<\/li>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 15&#xff1a;Open WebUI \u672c\u5730\u6a21\u578b\u7ba1\u7406\u5e73\u53f0<\/h5>\n<ul>\n<li>GitHub&#xff1a;open-webui\/open-webui<\/li>\n<li>Stars&#xff1a;130k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u529f\u80fd\u4e30\u5bcc\u7684\u81ea\u6258\u7ba1 AI \u5e73\u53f0&#xff0c;\u652f\u6301 Ollama \u548c OpenAI \u517c\u5bb9 API<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u7c7b ChatGPT \u7684 Web \u754c\u9762<\/li>\n<li>\u652f\u6301\u591a\u6a21\u578b\u5207\u6362<\/li>\n<li>\u5185\u7f6e RAG \u529f\u80fd<\/li>\n<li>\u652f\u6301\u7528\u6237\u7ba1\u7406\u548c\u6743\u9650\u63a7\u5236<\/li>\n<\/ul>\n<\/li>\n<li>\u90e8\u7f72\u65b9\u5f0f&#xff1a;<\/li>\n<\/ul>\n<p><span class=\"token comment\"># Docker \u4e00\u952e\u90e8\u7f72<\/span><br \/>\n<span class=\"token function\">docker<\/span> run <span class=\"token parameter variable\">-d<\/span> <span class=\"token parameter variable\">-p<\/span> <span class=\"token number\">3000<\/span>:8080 <span class=\"token punctuation\">\\\\<\/span><br \/>\n  &#8211;add-host<span class=\"token operator\">&#061;<\/span>host.docker.internal:host-gateway <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">-v<\/span> open-webui:\/app\/backend\/data <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;name<\/span> open-webui <span class=\"token punctuation\">\\\\<\/span><br \/>\n  <span class=\"token parameter variable\">&#8211;restart<\/span> always <span class=\"token punctuation\">\\\\<\/span><br \/>\n  ghcr.io\/open-webui\/open-webui:main<\/p>\n<h5>\u9879\u76ee 16&#xff1a;vLLM \u9ad8\u6027\u80fd\u63a8\u7406\u5f15\u64ce<\/h5>\n<ul>\n<li>GitHub&#xff1a;vllm-project\/vllm<\/li>\n<li>Stars&#xff1a;35k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u9ad8\u541e\u5410\u91cf\u3001\u4f4e\u5ef6\u8fdf\u7684 LLM \u63a8\u7406\u5f15\u64ce<\/li>\n<li>\u9002\u7528\u573a\u666f&#xff1a;\u9700\u8981\u540c\u65f6\u670d\u52a1\u5927\u91cf\u7528\u6237\u7684\u751f\u4ea7\u73af\u5883<\/li>\n<li>\u6838\u5fc3\u7279\u6027&#xff1a;\n<ul>\n<li>PagedAttention&#xff1a;\u9ad8\u6548\u7ba1\u7406 KV Cache<\/li>\n<li>Continuous Batching&#xff1a;\u52a8\u6001\u6279\u5904\u7406<\/li>\n<li>Tensor Parallelism&#xff1a;\u591a GPU \u5e76\u884c<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u5728 GPU \u670d\u52a1\u5668\u4e0a\u90e8\u7f72 vLLM&#xff0c;\u5bf9\u6bd4 Ollama \u548c vLLM \u7684\u541e\u5410\u91cf\u5dee\u5f02<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9636\u6bb5\u4e03&#xff1a;\u751f\u4ea7\u7ea7\u5e94\u7528\u4e0e\u5e73\u53f0\u5316<\/h3>\n<h4>\u6838\u5fc3\u77e5\u8bc6\u70b9<\/h4>\n<p>1. \u5e94\u7528\u8bc4\u4f30\u4e0e\u6d4b\u8bd5<\/p>\n<p>AI \u5e94\u7528\u4e0d\u540c\u4e8e\u4f20\u7edf\u8f6f\u4ef6&#xff0c;\u8f93\u51fa\u5177\u6709\u4e0d\u786e\u5b9a\u6027&#xff0c;\u9700\u8981\u4e13\u95e8\u7684\u8bc4\u4f30\u65b9\u6cd5&#xff1a;<\/p>\n<ul>\n<li>\u81ea\u52a8\u5316\u8bc4\u4f30&#xff1a;\u7528 LLM \u8bc4\u4f30 LLM&#xff08;LLM-as-Judge&#xff09;<\/li>\n<li>\u4eba\u5de5\u8bc4\u4f30&#xff1a;\u5173\u952e\u573a\u666f\u9700\u8981\u4eba\u5de5\u6807\u6ce8\u548c\u5ba1\u6838<\/li>\n<li>A\/B \u6d4b\u8bd5&#xff1a;\u5bf9\u6bd4\u4e0d\u540c Prompt\/\u6a21\u578b\u7684\u6548\u679c<\/li>\n<li>\u8bc4\u4f30\u6307\u6807&#xff1a;\n<ul>\n<li>\u51c6\u786e\u7387&#xff08;Accuracy&#xff09;<\/li>\n<li>\u76f8\u5173\u6027&#xff08;Relevance&#xff09;<\/li>\n<li>\u5fe0\u5b9e\u5ea6&#xff08;Faithfulness&#xff09;\u2014\u2014 RAG \u573a\u666f\u4e0b\u56de\u7b54\u662f\u5426\u5fe0\u5b9e\u4e8e\u68c0\u7d22\u5230\u7684\u6587\u6863<\/li>\n<li>\u5ef6\u8fdf&#xff08;Latency&#xff09;<\/li>\n<li>\u6210\u672c&#xff08;Cost per query&#xff09;<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>2. \u53ef\u89c2\u6d4b\u6027&#xff08;Observability&#xff09;<\/p>\n<ul>\n<li>LangSmith&#xff1a;LangChain \u5b98\u65b9\u7684\u8ffd\u8e2a\u548c\u76d1\u63a7\u5e73\u53f0<\/li>\n<li>Phoenix&#xff08;Arize&#xff09;&#xff1a;\u5f00\u6e90\u7684 LLM \u53ef\u89c2\u6d4b\u6027\u5de5\u5177<\/li>\n<li>Langfuse&#xff1a;\u5f00\u6e90\u7684 LLM \u5e94\u7528\u5206\u6790\u5e73\u53f0<\/li>\n<li>\u5173\u952e\u76d1\u63a7\u6307\u6807&#xff1a;\u5ef6\u8fdf\u3001token \u4f7f\u7528\u91cf\u3001\u9519\u8bef\u7387\u3001\u7528\u6237\u6ee1\u610f\u5ea6<\/li>\n<\/ul>\n<p>3. \u90e8\u7f72\u67b6\u6784<\/p>\n<p>\u7528\u6237\u8bf7\u6c42<br \/>\n    \u2193<br \/>\n\u8d1f\u8f7d\u5747\u8861&#xff08;Nginx \/ Cloud LB&#xff09;<br \/>\n    \u2193<br \/>\nAPI \u7f51\u5173&#xff08;\u8ba4\u8bc1\u3001\u9650\u6d41\u3001\u8def\u7531&#xff09;<br \/>\n    \u2193<br \/>\n\u5e94\u7528\u670d\u52a1&#xff08;FastAPI \/ Flask&#xff09;<br \/>\n    \u2193<br \/>\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br \/>\n\u2502   LLM \u670d\u52a1    \u2502   RAG \u670d\u52a1    \u2502   Agent \u670d\u52a1<br \/>\n\u2502  (vLLM\/Ollama) \u2502 (\u5411\u91cf\u6570\u636e\u5e93)   \u2502  (\u5de5\u5177\u8c03\u7528)<br \/>\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br \/>\n    \u2193<br \/>\n\u76d1\u63a7\u4e0e\u65e5\u5fd7&#xff08;LangSmith \/ Langfuse&#xff09;<\/p>\n<p>4. \u5b89\u5168\u4e0e\u5408\u89c4<\/p>\n<ul>\n<li>Prompt \u6ce8\u5165\u9632\u62a4&#xff1a;\u68c0\u6d4b\u548c\u8fc7\u6ee4\u6076\u610f Prompt<\/li>\n<li>\u5185\u5bb9\u5b89\u5168&#xff1a;\u8fc7\u6ee4\u6709\u5bb3\u3001\u8fdd\u89c4\u5185\u5bb9<\/li>\n<li>\u6570\u636e\u8131\u654f&#xff1a;\u5728\u53d1\u9001\u7ed9\u6a21\u578b\u524d\u8131\u654f\u654f\u611f\u4fe1\u606f<\/li>\n<li>\u8bbf\u95ee\u63a7\u5236&#xff1a;API Key \u7ba1\u7406\u3001\u7528\u6237\u6743\u9650<\/li>\n<\/ul>\n<h4>\u9636\u6bb5\u7ec3\u4e60\u9879\u76ee<\/h4>\n<h5>\u9879\u76ee 17&#xff1a;Dify \u2014\u2014 \u5f00\u6e90 LLM \u5e94\u7528\u5f00\u53d1\u5e73\u53f0<\/h5>\n<ul>\n<li>GitHub&#xff1a;langgenius\/dify<\/li>\n<li>Stars&#xff1a;65k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u4e00\u7ad9\u5f0f LLM \u5e94\u7528\u5f00\u53d1\u5e73\u53f0&#xff0c;\u652f\u6301\u53ef\u89c6\u5316\u7f16\u6392<\/li>\n<li>\u6838\u5fc3\u529f\u80fd&#xff1a;\n<ul>\n<li>\u53ef\u89c6\u5316 Workflow \u7f16\u6392<\/li>\n<li>\u5185\u7f6e RAG \u7ba1\u9053<\/li>\n<li>Agent \u80fd\u529b<\/li>\n<li>\u6a21\u578b\u7ba1\u7406&#xff08;\u652f\u6301 100&#043; \u6a21\u578b&#xff09;<\/li>\n<li>\u53ef\u89c2\u6d4b\u6027<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\n<li>\u90e8\u7f72 Dify \u5e73\u53f0<\/li>\n<li>\u521b\u5efa\u4e00\u4e2a RAG \u77e5\u8bc6\u5e93\u5e94\u7528<\/li>\n<li>\u7f16\u6392\u4e00\u4e2a\u591a\u6b65\u9aa4\u7684 Agent \u5de5\u4f5c\u6d41<\/li>\n<li>\u53d1\u5e03\u4e3a API \u5e76\u96c6\u6210\u5230\u81ea\u5df1\u7684\u9879\u76ee\u4e2d<\/li>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 18&#xff1a;FastGPT \u2014\u2014 \u77e5\u8bc6\u5e93\u95ee\u7b54\u5e73\u53f0<\/h5>\n<ul>\n<li>GitHub&#xff1a;labring\/FastGPT<\/li>\n<li>Stars&#xff1a;28k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u57fa\u4e8e LLM \u7684\u77e5\u8bc6\u5e93\u5e73\u53f0&#xff0c;\u5f00\u7bb1\u5373\u7528<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u53ef\u89c6\u5316\u5de5\u4f5c\u6d41\u7f16\u6392<\/li>\n<li>\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b<\/li>\n<li>\u652f\u6301\u591a\u79cd\u5411\u91cf\u6570\u636e\u5e93<\/li>\n<li>\u652f\u6301 API \u5bf9\u5916\u63d0\u4f9b\u670d\u52a1<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u4e3a\u81ea\u5df1\u7684\u6280\u672f\u535a\u5ba2\u6784\u5efa\u4e00\u4e2a\u667a\u80fd\u95ee\u7b54\u7cfb\u7edf<\/li>\n<\/ul>\n<h5>\u9879\u76ee 19&#xff1a;Flowise \u2014\u2014 \u53ef\u89c6\u5316 AI \u5de5\u4f5c\u6d41\u6784\u5efa<\/h5>\n<ul>\n<li>GitHub&#xff1a;FlowiseAI\/Flowise<\/li>\n<li>Stars&#xff1a;52k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u62d6\u62fd\u5f0f\u6784\u5efa AI Agent \u548c LLM \u5de5\u4f5c\u6d41<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u5b8c\u5168\u53ef\u89c6\u5316&#xff0c;\u65e0\u9700\u5199\u4ee3\u7801<\/li>\n<li>100&#043; \u9884\u7f6e\u7ec4\u4ef6\u8282\u70b9<\/li>\n<li>\u4e00\u952e\u90e8\u7f72\u4e3a API<\/li>\n<li>\u652f\u6301\u5d4c\u5165\u5230\u73b0\u6709\u7cfb\u7edf<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\n<li>\u7528 Flowise \u642d\u5efa\u4e00\u4e2a\u5ba2\u670d\u804a\u5929\u673a\u5668\u4eba<\/li>\n<li>\u96c6\u6210\u77e5\u8bc6\u5e93\u68c0\u7d22\u529f\u80fd<\/li>\n<li>\u6dfb\u52a0\u5de5\u5177\u8c03\u7528\u80fd\u529b&#xff08;\u5982\u67e5\u5929\u6c14\u3001\u67e5\u8ba2\u5355&#xff09;<\/li>\n<\/li>\n<\/ul>\n<h5>\u9879\u76ee 20&#xff1a;Langflow \u2014\u2014 AI \u5de5\u4f5c\u6d41 IDE<\/h5>\n<ul>\n<li>GitHub&#xff1a;langflow-ai\/langflow<\/li>\n<li>Stars&#xff1a;148k&#043;<\/li>\n<li>\u5185\u5bb9&#xff1a;\u5f3a\u5927\u7684 AI \u5e94\u7528\u53ef\u89c6\u5316\u5f00\u53d1\u5e73\u53f0<\/li>\n<li>\u7279\u70b9&#xff1a;\n<ul>\n<li>\u57fa\u4e8e LangChain \u6784\u5efa<\/li>\n<li>\u652f\u6301 MCP Server<\/li>\n<li>\u5185\u7f6e\u7ec4\u4ef6\u5e02\u573a<\/li>\n<li>\u652f\u6301\u4ee3\u7801\u548c\u53ef\u89c6\u5316\u6df7\u5408\u5f00\u53d1<\/li>\n<\/ul>\n<\/li>\n<li>\u5b9e\u6218\u7ec3\u4e60&#xff1a;\u6784\u5efa\u4e00\u4e2a\u591a\u6a21\u6001 AI \u5e94\u7528&#xff0c;\u652f\u6301\u6587\u672c\u3001\u56fe\u7247\u3001\u6587\u4ef6\u8f93\u5165<\/li>\n<\/ul>\n<hr \/>\n<h3>\u5b66\u4e60\u6ce8\u610f\u4e8b\u9879\u4e0e\u5e38\u89c1\u95ee\u9898<\/h3>\n<h4>\u4e00\u3001\u73af\u5883\u4e0e\u5de5\u5177\u51c6\u5907<\/h4>\n<p>1. Python \u7248\u672c\u7ba1\u7406<\/p>\n<ul>\n<li>\u63a8\u8350\u4f7f\u7528 Python 3.10 \u6216 3.11&#xff0c;\u517c\u5bb9\u6027\u6700\u597d<\/li>\n<li>\u5f3a\u70c8\u5efa\u8bae\u4f7f\u7528 pyenv \u6216 conda \u7ba1\u7406\u591a\u4e2a Python \u7248\u672c&#xff0c;\u907f\u514d\u6c61\u67d3\u7cfb\u7edf\u73af\u5883<\/li>\n<li>\u6bcf\u4e2a\u9879\u76ee\u521b\u5efa\u72ec\u7acb\u7684\u865a\u62df\u73af\u5883&#xff1a;python -m venv .venv \u6216 conda create -n myproject<\/li>\n<\/ul>\n<p>2. API Key \u5b89\u5168<\/p>\n<ul>\n<li>\u6c38\u8fdc\u4e0d\u8981\u5c06 API Key \u786c\u7f16\u7801\u5728\u4ee3\u7801\u4e2d<\/li>\n<li>\u4f7f\u7528\u73af\u5883\u53d8\u91cf\u7ba1\u7406&#xff1a;export OPENAI_API_KEY&#061;&#034;sk-xxx&#034; \u6216 .env \u6587\u4ef6<\/li>\n<li>.env \u6587\u4ef6\u5fc5\u987b\u52a0\u5165 .gitignore<\/li>\n<li>\u751f\u4ea7\u73af\u5883\u4f7f\u7528\u5bc6\u94a5\u7ba1\u7406\u670d\u52a1&#xff08;\u5982 AWS Secrets Manager\u3001HashiCorp Vault&#xff09;<\/li>\n<li>\u5b9a\u671f\u8f6e\u6362 API Key&#xff0c;\u53d1\u73b0\u6cc4\u9732\u7acb\u5373\u66f4\u6362<\/li>\n<\/ul>\n<p>3. \u7f51\u7edc\u4e0e\u4ee3\u7406<\/p>\n<ul>\n<li>\u8bbf\u95ee OpenAI\u3001Anthropic \u7b49\u56fd\u5916 API \u901a\u5e38\u9700\u8981\u4ee3\u7406<\/li>\n<li>GitHub \u514b\u9686\u6162\u53ef\u4ee5\u4f7f\u7528\u955c\u50cf\u7ad9\u6216\u8bbe\u7f6e Git \u4ee3\u7406<\/li>\n<li>Hugging Face \u6a21\u578b\u4e0b\u8f7d\u53ef\u4f7f\u7528\u56fd\u5185\u955c\u50cf&#xff1a;https:\/\/hf-mirror.com<\/li>\n<\/ul>\n<h4>\u4e8c\u3001\u5b66\u4e60\u65b9\u6cd5\u5efa\u8bae<\/h4>\n<p>1. \u4e0d\u8981\u8df3\u9636\u6bb5<\/p>\n<p>\u6bcf\u4e2a\u9636\u6bb5\u7684\u77e5\u8bc6\u662f\u4e0b\u4e00\u4e2a\u9636\u6bb5\u7684\u57fa\u7840&#xff1a;<\/p>\n<ul>\n<li>\u4e0d\u61c2 API \u8c03\u7528 \u2192 \u505a\u4e0d\u4e86 RAG<\/li>\n<li>\u4e0d\u61c2 Prompt \u5de5\u7a0b \u2192 Agent \u6548\u679c\u5f88\u5dee<\/li>\n<li>\u4e0d\u61c2 RAG \u2192 \u591a Agent \u65e0\u6cd5\u6709\u6548\u5229\u7528\u77e5\u8bc6<\/li>\n<\/ul>\n<p>2. \u5148\u8dd1\u901a\u518d\u7406\u89e3<\/p>\n<ul>\n<li>\u5148\u628a\u5b98\u65b9\u793a\u4f8b\u8dd1\u8d77\u6765&#xff0c;\u770b\u5230\u6548\u679c<\/li>\n<li>\u518d\u9010\u884c\u7406\u89e3\u4ee3\u7801&#xff0c;\u641e\u6e05\u695a\u6bcf\u4e2a\u53c2\u6570\u7684\u4f5c\u7528<\/li>\n<li>\u6700\u540e\u5c1d\u8bd5\u4fee\u6539\u548c\u6269\u5c55<\/li>\n<\/ul>\n<p>3. \u505a\u7b14\u8bb0&#xff0c;\u5efa\u81ea\u5df1\u7684\u77e5\u8bc6\u5e93<\/p>\n<ul>\n<li>\u9047\u5230\u7684\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6848\u8bb0\u5f55\u4e0b\u6765<\/li>\n<li>\u597d\u7684 Prompt \u6a21\u677f\u6536\u96c6\u8d77\u6765<\/li>\n<li>\u5e38\u7528\u7684\u4ee3\u7801\u7247\u6bb5\u6574\u7406\u6210\u5de5\u5177\u5e93<\/li>\n<li>\u63a8\u8350\u7528 Markdown &#043; Git \u7ba1\u7406\u7b14\u8bb0<\/li>\n<\/ul>\n<p>4. \u5173\u6ce8\u793e\u533a\u52a8\u6001<\/p>\n<ul>\n<li>GitHub Trending \u6bcf\u5468\u770b\u4e00\u6b21<\/li>\n<li>\u5173\u6ce8 LangChain\u3001OpenAI\u3001Anthropic \u7684\u5b98\u65b9\u535a\u5ba2<\/li>\n<li>\u52a0\u5165\u76f8\u5173 Discord \/ \u5fae\u4fe1\u793e\u7fa4<\/li>\n<li>AI \u9886\u57df\u53d8\u5316\u6781\u5feb&#xff0c;\u534a\u5e74\u524d\u7684\u6700\u4f73\u5b9e\u8df5\u53ef\u80fd\u5df2\u7ecf\u8fc7\u65f6<\/li>\n<\/ul>\n<h4>\u4e09\u3001\u5e38\u89c1\u8e29\u5751\u4e0e\u89e3\u51b3\u65b9\u6848<\/h4>\n<p>1. Token \u8d85\u9650<\/p>\n<p>\u9519\u8bef&#xff1a;This model&#039;s maximum context length is 128000 tokens<\/p>\n<ul>\n<li>\u89e3\u51b3&#xff1a;\u622a\u65ad\u5bf9\u8bdd\u5386\u53f2\u3001\u4f7f\u7528\u6458\u8981\u538b\u7f29\u3001\u9009\u62e9\u66f4\u5927\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u6a21\u578b<\/li>\n<li>\u9884\u9632&#xff1a;\u5728\u4ee3\u7801\u4e2d\u52a0\u5165 token \u8ba1\u6570\u903b\u8f91&#xff0c;\u63d0\u524d\u9884\u8b66<\/li>\n<\/ul>\n<p>2. API \u8c03\u7528\u901f\u7387\u9650\u5236<\/p>\n<p>\u9519\u8bef&#xff1a;429 Too Many Requests<\/p>\n<ul>\n<li>\u89e3\u51b3&#xff1a;\u5b9e\u73b0\u6307\u6570\u9000\u907f\u91cd\u8bd5&#xff08;Exponential Backoff&#xff09;<\/li>\n<li>\u4ee3\u7801\u793a\u4f8b&#xff1a;<\/li>\n<\/ul>\n<p><span class=\"token keyword\">import<\/span> time<br \/>\n<span class=\"token keyword\">import<\/span> random<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">call_with_retry<\/span><span class=\"token punctuation\">(<\/span>func<span class=\"token punctuation\">,<\/span> max_retries<span class=\"token operator\">&#061;<\/span><span class=\"token number\">5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span>max_retries<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">try<\/span><span class=\"token punctuation\">:<\/span><br \/>\n            <span class=\"token keyword\">return<\/span> func<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">except<\/span> RateLimitError<span class=\"token punctuation\">:<\/span><br \/>\n            wait <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">2<\/span> <span class=\"token operator\">**<\/span> i<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#043;<\/span> random<span class=\"token punctuation\">.<\/span>uniform<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><br \/>\n            <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u901f\u7387\u9650\u5236&#xff0c;\u7b49\u5f85 <\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>wait<span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> \u79d2\u540e\u91cd\u8bd5&#8230;&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n            time<span class=\"token punctuation\">.<\/span>sleep<span class=\"token punctuation\">(<\/span>wait<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">raise<\/span> Exception<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u91cd\u8bd5\u6b21\u6570\u8017\u5c3d&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>3. RAG \u68c0\u7d22\u8d28\u91cf\u5dee<\/p>\n<ul>\n<li>\u75c7\u72b6&#xff1a;\u68c0\u7d22\u5230\u7684\u5185\u5bb9\u4e0e\u95ee\u9898\u65e0\u5173<\/li>\n<li>\u6392\u67e5\u6b65\u9aa4&#xff1a;\n<li>\u68c0\u67e5\u5206\u5757\u662f\u5426\u5408\u7406&#xff08;chunk_size \u592a\u5927\u4f1a\u7a00\u91ca\u76f8\u5173\u5185\u5bb9&#xff0c;\u592a\u5c0f\u4f1a\u4e22\u5931\u4e0a\u4e0b\u6587&#xff09;<\/li>\n<li>\u68c0\u67e5\u5d4c\u5165\u6a21\u578b\u662f\u5426\u9002\u5408\u4f60\u7684\u8bed\u8a00\u548c\u9886\u57df<\/li>\n<li>\u5c1d\u8bd5\u6df7\u5408\u68c0\u7d22&#xff08;\u5411\u91cf &#043; BM25&#xff09;<\/li>\n<li>\u6dfb\u52a0 Reranking \u6b65\u9aa4<\/li>\n<\/li>\n<\/ul>\n<p>4. Agent \u9677\u5165\u6b7b\u5faa\u73af<\/p>\n<ul>\n<li>\u75c7\u72b6&#xff1a;Agent \u53cd\u590d\u8c03\u7528\u540c\u4e00\u4e2a\u5de5\u5177&#xff0c;\u65e0\u6cd5\u5b8c\u6210\u4efb\u52a1<\/li>\n<li>\u89e3\u51b3&#xff1a;\n<li>\u8bbe\u7f6e\u6700\u5927\u8fed\u4ee3\u6b21\u6570&#xff08;\u5982 max_iterations&#061;10&#xff09;<\/li>\n<li>\u5728 Prompt \u4e2d\u660e\u786e\u4efb\u52a1\u7ec8\u6b62\u6761\u4ef6<\/li>\n<li>\u6dfb\u52a0\u8d85\u65f6\u673a\u5236<\/li>\n<\/li>\n<\/ul>\n<p>5. \u6a21\u578b\u8f93\u51fa\u4e0d\u7a33\u5b9a<\/p>\n<ul>\n<li>\u75c7\u72b6&#xff1a;\u540c\u6837\u7684\u8f93\u5165&#xff0c;\u6bcf\u6b21\u8f93\u51fa\u4e0d\u540c<\/li>\n<li>\u89e3\u51b3&#xff1a;\n<li>\u8bbe\u7f6e temperature&#061;0 \u83b7\u53d6\u786e\u5b9a\u6027\u8f93\u51fa<\/li>\n<li>\u4f7f\u7528 seed \u53c2\u6570&#xff08;\u90e8\u5206\u6a21\u578b\u652f\u6301&#xff09;<\/li>\n<li>\u5728 Prompt \u4e2d\u660e\u786e\u8f93\u51fa\u683c\u5f0f\u8981\u6c42<\/li>\n<\/li>\n<\/ul>\n<h4>\u56db\u3001\u6210\u672c\u63a7\u5236<\/h4>\n<p>1. \u5f00\u53d1\u9636\u6bb5\u7701\u94b1\u6280\u5de7<\/p>\n<ul>\n<li>\u4f7f\u7528 GPT-4o-mini \u800c\u975e GPT-4o \u8fdb\u884c\u5f00\u53d1\u548c\u6d4b\u8bd5&#xff08;\u4ef7\u683c\u5dee 10-30 \u500d&#xff09;<\/li>\n<li>\u4f7f\u7528\u672c\u5730\u6a21\u578b&#xff08;Ollama&#xff09;\u8fdb\u884c\u8c03\u8bd5<\/li>\n<li>\u7f13\u5b58\u76f8\u540c\u7684 API \u8c03\u7528\u7ed3\u679c<\/li>\n<li>\u4f7f\u7528\u514d\u8d39\u989d\u5ea6&#xff1a;Google Gemini\u3001DeepSeek \u7b49\u63d0\u4f9b\u5927\u91cf\u514d\u8d39 token<\/li>\n<\/ul>\n<p>2. \u751f\u4ea7\u9636\u6bb5\u6210\u672c\u4f18\u5316<\/p>\n<ul>\n<li>\u6839\u636e\u4efb\u52a1\u590d\u6742\u5ea6\u52a8\u6001\u9009\u62e9\u6a21\u578b&#xff08;\u7b80\u5355\u4efb\u52a1\u7528\u5c0f\u6a21\u578b&#xff0c;\u590d\u6742\u4efb\u52a1\u7528\u5927\u6a21\u578b&#xff09;<\/li>\n<li>\u5b9e\u73b0\u8bed\u4e49\u7f13\u5b58&#xff1a;\u76f8\u4f3c\u95ee\u9898\u76f4\u63a5\u8fd4\u56de\u7f13\u5b58\u7ed3\u679c<\/li>\n<li>\u538b\u7f29 Prompt&#xff1a;\u53bb\u9664\u5197\u4f59\u6307\u4ee4&#xff0c;\u7cbe\u7b80\u4e0a\u4e0b\u6587<\/li>\n<li>\u76d1\u63a7 token \u4f7f\u7528\u91cf&#xff0c;\u8bbe\u7f6e\u9884\u7b97\u544a\u8b66<\/li>\n<\/ul>\n<h4>\u4e94\u3001\u6280\u672f\u9009\u578b\u5efa\u8bae<\/h4>\n<table>\n<tr>\u573a\u666f\u63a8\u8350\u65b9\u6848\u5907\u9009\u65b9\u6848<\/tr>\n<tbody>\n<tr>\n<td>\u5feb\u901f\u539f\u578b<\/td>\n<td>Dify \/ Flowise<\/td>\n<td>Langflow<\/td>\n<\/tr>\n<tr>\n<td>RAG \u5e94\u7528<\/td>\n<td>LangChain &#043; Chroma<\/td>\n<td>LlamaIndex &#043; Milvus<\/td>\n<\/tr>\n<tr>\n<td>Agent \u5f00\u53d1<\/td>\n<td>LangGraph<\/td>\n<td>CrewAI<\/td>\n<\/tr>\n<tr>\n<td>\u591a Agent \u534f\u4f5c<\/td>\n<td>AutoGen \/ CrewAI<\/td>\n<td>LangGraph<\/td>\n<\/tr>\n<tr>\n<td>\u672c\u5730\u90e8\u7f72<\/td>\n<td>Ollama &#043; Open WebUI<\/td>\n<td>vLLM<\/td>\n<\/tr>\n<tr>\n<td>\u751f\u4ea7\u7ea7\u63a8\u7406<\/td>\n<td>vLLM<\/td>\n<td>TensorRT-LLM<\/td>\n<\/tr>\n<tr>\n<td>\u53ef\u89c2\u6d4b\u6027<\/td>\n<td>LangSmith<\/td>\n<td>Langfuse \/ Phoenix<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u63a8\u8350\u5b66\u4e60\u8d44\u6e90\u6c47\u603b<\/h3>\n<h4>\u7cfb\u7edf\u8bfe\u7a0b<\/h4>\n<table>\n<tr>\u8bfe\u7a0bGitHubStars\u5185\u5bb9<\/tr>\n<tbody>\n<tr>\n<td>\u751f\u6210\u5f0f AI \u5165\u95e8<\/td>\n<td>microsoft\/generative-ai-for-beginners<\/td>\n<td>75k<\/td>\n<td>12 \u8282\u8bfe&#xff0c;\u751f\u6210\u5f0f AI \u57fa\u7840<\/td>\n<\/tr>\n<tr>\n<td>AI Agent \u5165\u95e8<\/td>\n<td>microsoft\/ai-agents-for-beginners<\/td>\n<td>50k<\/td>\n<td>15 \u8282\u8bfe&#xff0c;Agent \u5f00\u53d1\u57fa\u7840<\/td>\n<\/tr>\n<tr>\n<td>Hugging Face Agent \u8bfe\u7a0b<\/td>\n<td>huggingface\/agents-course<\/td>\n<td>30k<\/td>\n<td>Agent \u7cfb\u7edf\u5b66\u4e60<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>\u5b9e\u6218\u9879\u76ee\u5408\u96c6<\/h4>\n<table>\n<tr>\u9879\u76eeGitHubStars\u5185\u5bb9<\/tr>\n<tbody>\n<tr>\n<td>awesome-llm-apps<\/td>\n<td>Shubhamsaboo\/awesome-llm-apps<\/td>\n<td>105k<\/td>\n<td>100&#043; LLM \u5e94\u7528\u6a21\u677f<\/td>\n<\/tr>\n<tr>\n<td>LLM-RAG-Agent \u6559\u7a0b<\/td>\n<td>mac999\/LLM-RAG-Agent-Tutorial<\/td>\n<td>&#8211;<\/td>\n<td>LLM\/RAG\/Agent \u5168\u6808\u6559\u7a0b<\/td>\n<\/tr>\n<tr>\n<td>Agent \u5b66\u4e60\u8def\u7ebf<\/td>\n<td>Haozhe-Xing\/agent_learning<\/td>\n<td>&#8211;<\/td>\n<td>\u7cfb\u7edf\u6027 Agent \u5b66\u4e60<\/td>\n<\/tr>\n<tr>\n<td>RAG \u4ece\u96f6\u5b9e\u73b0<\/td>\n<td>langchain-ai\/rag-from-scratch<\/td>\n<td>8.5k<\/td>\n<td>RAG \u6280\u672f\u9010\u4e2a\u62c6\u89e3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>\u6846\u67b6\u4e0e\u5de5\u5177<\/h4>\n<table>\n<tr>\u5de5\u5177GitHubStars\u7528\u9014<\/tr>\n<tbody>\n<tr>\n<td>LangChain<\/td>\n<td>langchain-ai\/langchain<\/td>\n<td>100k<\/td>\n<td>LLM \u5e94\u7528\u5f00\u53d1\u6846\u67b6<\/td>\n<\/tr>\n<tr>\n<td>LangGraph<\/td>\n<td>langchain-ai\/langgraph<\/td>\n<td>35k<\/td>\n<td>Agent \u5de5\u4f5c\u6d41\u5f15\u64ce<\/td>\n<\/tr>\n<tr>\n<td>CrewAI<\/td>\n<td>crewAIInc\/crewAI<\/td>\n<td>28k<\/td>\n<td>\u591a Agent \u534f\u4f5c\u6846\u67b6<\/td>\n<\/tr>\n<tr>\n<td>AutoGen<\/td>\n<td>microsoft\/autogen<\/td>\n<td>42k<\/td>\n<td>\u591a Agent \u5bf9\u8bdd\u6846\u67b6<\/td>\n<\/tr>\n<tr>\n<td>Dify<\/td>\n<td>langgenius\/dify<\/td>\n<td>65k<\/td>\n<td>LLM \u5e94\u7528\u5f00\u53d1\u5e73\u53f0<\/td>\n<\/tr>\n<tr>\n<td>FastGPT<\/td>\n<td>labring\/FastGPT<\/td>\n<td>28k<\/td>\n<td>\u77e5\u8bc6\u5e93\u95ee\u7b54\u5e73\u53f0<\/td>\n<\/tr>\n<tr>\n<td>Flowise<\/td>\n<td>FlowiseAI\/Flowise<\/td>\n<td>52k<\/td>\n<td>\u53ef\u89c6\u5316 AI \u5de5\u4f5c\u6d41<\/td>\n<\/tr>\n<tr>\n<td>Langflow<\/td>\n<td>langflow-ai\/langflow<\/td>\n<td>148k<\/td>\n<td>AI \u5de5\u4f5c\u6d41 IDE<\/td>\n<\/tr>\n<tr>\n<td>Ollama<\/td>\n<td>ollama\/ollama<\/td>\n<td>120k<\/td>\n<td>\u672c\u5730\u6a21\u578b\u8fd0\u884c<\/td>\n<\/tr>\n<tr>\n<td>Open WebUI<\/td>\n<td>open-webui\/open-webui<\/td>\n<td>130k<\/td>\n<td>\u672c\u5730\u6a21\u578b\u7ba1\u7406\u5e73\u53f0<\/td>\n<\/tr>\n<tr>\n<td>vLLM<\/td>\n<td>vllm-project\/vllm<\/td>\n<td>35k<\/td>\n<td>\u9ad8\u6027\u80fd\u63a8\u7406\u5f15\u64ce<\/td>\n<\/tr>\n<tr>\n<td>Promptflow<\/td>\n<td>microsoft\/promptflow<\/td>\n<td>18k<\/td>\n<td>Prompt \u5de5\u7a0b\u5de5\u5177<\/td>\n<\/tr>\n<tr>\n<td>Langchain-Chatchat<\/td>\n<td>chatchat-space\/Langchain-Chatchat<\/td>\n<td>32k<\/td>\n<td>\u4e2d\u6587 RAG \u5e94\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u5b66\u4e60\u8def\u7ebf\u603b\u7ed3<\/h3>\n<p>\u9636\u6bb5\u4e00&#xff1a;API \u8c03\u7528\u57fa\u7840         \u2192  \u7406\u89e3 LLM \u662f\u4ec0\u4e48\u3001\u600e\u4e48\u8c03<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u4e8c&#xff1a;Prompt \u5de5\u7a0b           \u2192  \u5b66\u4f1a\u4e0e\u6a21\u578b\u9ad8\u6548\u6c9f\u901a<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u4e09&#xff1a;RAG                  \u2192  \u8ba9\u6a21\u578b\u57fa\u4e8e\u4f60\u7684\u6570\u636e\u56de\u7b54<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u56db&#xff1a;AI Agent             \u2192  \u8ba9\u6a21\u578b\u81ea\u4e3b\u5b8c\u6210\u590d\u6742\u4efb\u52a1<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u4e94&#xff1a;\u591a Agent \u534f\u4f5c         \u2192  \u8ba9\u591a\u4e2a Agent \u7ec4\u961f\u5de5\u4f5c<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u516d&#xff1a;\u672c\u5730\u90e8\u7f72              \u2192  \u6a21\u578b\u8dd1\u5728\u81ea\u5df1\u7684\u670d\u52a1\u5668\u4e0a<br \/>\n    \u2193<br \/>\n\u9636\u6bb5\u4e03&#xff1a;\u751f\u4ea7\u7ea7\u5e94\u7528            \u2192  \u4ece\u539f\u578b\u5230\u53ef\u4e0a\u7ebf\u7684\u4ea7\u54c1<\/p>\n<p>\u6838\u5fc3\u5efa\u8bae&#xff1a;<\/p>\n<li>\u5148\u8dd1\u901a&#xff0c;\u518d\u7406\u89e3&#xff1a;\u6bcf\u4e2a\u9636\u6bb5\u5148\u7528\u73b0\u6210\u9879\u76ee\u8dd1\u8d77\u6765&#xff0c;\u518d\u6df1\u5165\u539f\u7406<\/li>\n<li>\u8fb9\u5b66\u8fb9\u505a&#xff1a;\u6bcf\u5b66\u4e00\u4e2a\u77e5\u8bc6\u70b9\u5c31\u505a\u4e00\u4e2a\u5c0f\u9879\u76ee&#xff0c;\u4e0d\u8981\u53ea\u770b\u4e0d\u7ec3<\/li>\n<li>\u5173\u6ce8\u793e\u533a&#xff1a;GitHub \u4e0a\u7684 Issues \u548c Discussions \u662f\u6700\u597d\u7684\u5b66\u4e60\u8d44\u6e90<\/li>\n<li>\u4fdd\u6301\u66f4\u65b0&#xff1a;AI \u9886\u57df\u53d1\u5c55\u6781\u5feb&#xff0c;\u6bcf\u5468\u82b1 2-3 \u5c0f\u65f6\u5173\u6ce8\u65b0\u6280\u672f\u52a8\u6001<\/li>\n<li>\u63a7\u5236\u6210\u672c&#xff1a;\u5f00\u53d1\u9636\u6bb5\u7528\u4fbf\u5b9c\u6a21\u578b\u548c\u672c\u5730\u6a21\u578b&#xff0c;\u751f\u4ea7\u9636\u6bb5\u518d\u7528\u6700\u597d\u7684<\/li>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u9762\u5411\u6709\u4e00\u5b9a\u7f16\u7a0b\u57fa\u7840&#xff08;Python \u4e3a\u4e3b&#xff09;\u7684\u5f00\u53d1\u8005&#xff0c;\u7cfb\u7edf\u68b3\u7406 AI \u5e94\u7528\u5f00\u53d1\u7684\u5b66\u4e60\u8def\u5f84\u3002\u6bcf\u4e2a\u9636\u6bb5\u914d\u6709\u7406\u8bba\u8bb2\u89e3\u548c GitHub \u5b9e\u6218\u9879\u76ee&#xff0c;\u5f3a\u8c03\\&#8221;\u5b66\u4e00\u4e2a\u77e5\u8bc6\u70b9&#xff0c;\u505a\u4e00\u4e2a\u53ef\u8fd0\u884c\u7684\u9879\u76ee\\&#8221;\u3002 \u76ee\u5f55<br \/>\n\u9636\u6bb5\u4e00&#xff1a;\u57fa\u7840\u8ba4\u77e5\u2014\u2014\u7406\u89e3\u5927\u6a21\u578b\u4e0e API \u8c03\u7528\u9636\u6bb5\u4e8c&#xff1a;Prompt \u5de5\u7a0b\u4e0e\u5bf9\u8bdd\u7cfb\u7edf\u9636\u6bb5\u4e09&#xff1a;RAG \u68c0\u7d22\u589e\u5f3a\u751f\u6210\u9636\u6bb5\u56db&#xff1a;AI Agent \u667a\u80fd\u4f53\u5f00\u53d1\u9636\u6bb5\u4e94&amp;#xff1<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50],"topic":[],"class_list":["post-89651","post","type-post","status-publish","format-standard","hentry","category-server","tag-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI \u5e94\u7528\u5f00\u53d1\u5b66\u4e60\u6307\u5357\uff1a\u4ece\u96f6\u5230\u751f\u4ea7\u7684\u5206\u9636\u6bb5\u5b9e\u8df5\u8def\u7ebf - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/89651.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI \u5e94\u7528\u5f00\u53d1\u5b66\u4e60\u6307\u5357\uff1a\u4ece\u96f6\u5230\u751f\u4ea7\u7684\u5206\u9636\u6bb5\u5b9e\u8df5\u8def\u7ebf - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6587\u9762\u5411\u6709\u4e00\u5b9a\u7f16\u7a0b\u57fa\u7840&#xff08;Python \u4e3a\u4e3b&#xff09;\u7684\u5f00\u53d1\u8005&#xff0c;\u7cfb\u7edf\u68b3\u7406 AI \u5e94\u7528\u5f00\u53d1\u7684\u5b66\u4e60\u8def\u5f84\u3002\u6bcf\u4e2a\u9636\u6bb5\u914d\u6709\u7406\u8bba\u8bb2\u89e3\u548c GitHub \u5b9e\u6218\u9879\u76ee&#xff0c;\u5f3a\u8c03&quot;\u5b66\u4e00\u4e2a\u77e5\u8bc6\u70b9&#xff0c;\u505a\u4e00\u4e2a\u53ef\u8fd0\u884c\u7684\u9879\u76ee&quot;\u3002 \u76ee\u5f55 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