zengli
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coding-agent


			
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  <h1>6.1 融合FQA和知识库查询</h1>

<h2 id="_1">学习目标：<a class="headerlink" href="#_1" title="Permanent link">¶</a></h2>
<ul>
<li>理解智能问答系统的端到端工作流程。</li>
<li>掌握 MySQL FAQ 和 RAG 系统的集成与协调。</li>
<li>学习如何通过日志记录和错误处理提升系统健壮性。</li>
</ul>
<h2 id="_2">一、查询流程图<a class="headerlink" href="#_2" title="Permanent link">¶</a></h2>
<p><code>old_main.py</code> 是一个融合 MySQL FAQ 和 RAG 系统的交互式问答程序，专注于快速、精准的答案生成。它通过 MySQL 提供结构化数据的高效查询，通过 RAG 系统处理复杂问题，同时配备日志记录和用户友好的命令行界面，适合知识库场景的实时问答需求。</p>
<p>以下是智能问答系统的查询流程图，展示从用户输入到答案输出的完整逻辑。</p>
<div align="center"><img src="../img/lc_01.png" style="zoom:50%"><img></div>

<h2 id="_3">二、流程说明<a class="headerlink" href="#_3" title="Permanent link">¶</a></h2>
<ol>
<li><strong>输入处理</strong>：用户提供查询 (<code>query</code>) 和可选的知识域过滤 (<code>source_filter</code>)。</li>
<li><strong>BM25 搜索</strong>：使用 BM25 算法在 MySQL 知识库中搜索，设置相似度阈值 0.85。</li>
<li><strong>答案判断</strong>：</li>
<li>若找到可靠答案（相似度 &gt; 0.85），直接返回。</li>
<li>若无可靠答案且需要 RAG，调用 RAG 系统生成答案。</li>
<li>若无需 RAG，返回“未找到答案”。</li>
<li><strong>日志记录</strong>：记录查询内容、答案和处理时间，便于调试和性能分析。</li>
<li><strong>输出</strong>：将答案返回给用户。</li>
</ol>
<h2 id="_4">三、代码介绍<a class="headerlink" href="#_4" title="Permanent link">¶</a></h2>
<p>以下是 <code>old_main.py</code> 的完整代码，包含详细注释，逐行解析功能与实现逻辑。</p>
<h3 id="1">1 导入必备的工具包<a class="headerlink" href="#1" title="Permanent link">¶</a></h3>
<div class="highlight"><pre><span></span><code><span class="c1"># 导入 MySQL 系统组件，用于数据库操作和搜索</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">mysql_qa.cache.redis_client</span><span class="w"> </span><span class="kn">import</span> <span class="n">RedisClient</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">mysql_qa.db.mysql_client</span><span class="w"> </span><span class="kn">import</span> <span class="n">MySQLClient</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">mysql_qa.retrieval.bm25_search</span><span class="w"> </span><span class="kn">import</span> <span class="n">BM25Search</span>
<span class="c1"># 导入 RAG 系统组件，用于知识库检索和答案生成</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">rag_qa.core.vector_store</span><span class="w"> </span><span class="kn">import</span> <span class="n">VectorStore</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">rag_qa.core.rag_system</span><span class="w"> </span><span class="kn">import</span> <span class="n">RAGSystem</span>
<span class="c1"># 导入配置和日志工具，用于系统配置和日志记录</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">base.config</span><span class="w"> </span><span class="kn">import</span> <span class="n">config</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">base.logger</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
<span class="c1"># 导入 OpenAI 客户端，用于调用 DashScope API</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">openai</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAI</span>
<span class="c1"># 导入时间库，用于记录处理时间</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
</code></pre></div>
<h3 id="2">2 系统初始化<a class="headerlink" href="#2" title="Permanent link">¶</a></h3>
<ul>
<li>(<code>__init__</code>) 初始化方法</li>
<li><strong>功能</strong>：初始化日志、配置、数据库客户端、搜索模块、向量存储和 RAG 系统。</li>
<li><strong>关键点</strong>：通过 Config 管理 API 密钥和模型参数，异常处理确保 OpenAI 客户端初始化成功。</li>
</ul>
<div class="highlight"><pre><span></span><code><span class="k">class</span><span class="w"> </span><span class="nc">IntegratedQASystem</span><span class="p">:</span>
    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="c1"># 初始化日志工具，用于记录系统运行信息</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">logger</span> <span class="o">=</span> <span class="n">logger</span>
        <span class="c1"># 初始化配置对象，加载系统参数</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">config</span> <span class="o">=</span> <span class="n">config</span>
        <span class="c1"># 初始化 MySQL 客户端，用于数据库操作</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">mysql_client</span> <span class="o">=</span> <span class="n">MySQLClient</span><span class="p">()</span>
        <span class="c1"># 初始化 Redis 客户端，用于缓存管理</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">redis_client</span> <span class="o">=</span> <span class="n">RedisClient</span><span class="p">()</span>
        <span class="c1"># 初始化 BM25 搜索模块，结合 MySQL 和 Redis</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">bm25_search</span> <span class="o">=</span> <span class="n">BM25Search</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">redis_client</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mysql_client</span><span class="p">)</span>
        <span class="k">try</span><span class="p">:</span>
            <span class="c1"># 初始化 OpenAI 客户端，连接 DashScope API</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">client</span> <span class="o">=</span> <span class="n">OpenAI</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">DASHSCOPE_API_KEY</span><span class="p">,</span> <span class="n">base_url</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">DASHSCOPE_BASE_URL</span><span class="p">)</span>
        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
            <span class="c1"># 记录 OpenAI 初始化失败的错误日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">"OpenAI 客户端初始化失败: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
            <span class="c1"># 抛出异常，终止初始化</span>
            <span class="k">raise</span>
        <span class="c1"># 初始化向量存储，用于 RAG 系统的知识库管理</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">vector_store</span> <span class="o">=</span> <span class="n">VectorStore</span><span class="p">()</span>
        <span class="c1"># 初始化 RAG 系统，传入向量存储和 DashScope API 调用函数</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">rag_system</span> <span class="o">=</span> <span class="n">RAGSystem</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">vector_store</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">call_dashscope</span><span class="p">)</span>
</code></pre></div>
<h3 id="3-dashscope-api">3 调用 DashScope API<a class="headerlink" href="#3-dashscope-api" title="Permanent link">¶</a></h3>
<ul>
<li>(<code>call_dashscope</code>) 方法</li>
<li><strong>功能</strong>：通过 OpenAI 客户端调用 DashScope API，基于用户提示生成答案。</li>
<li><strong>关键点</strong>：设置系统提示为“你是一个有用的助手”，异常处理捕获 API 调用失败，返回错误信息。</li>
</ul>
<div class="highlight"><pre><span></span><code>    <span class="k">def</span><span class="w"> </span><span class="nf">call_dashscope</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">prompt</span><span class="p">):</span>
        <span class="c1"># 定义调用 DashScope API 的方法，生成自然语言答案</span>
        <span class="k">try</span><span class="p">:</span>
            <span class="c1"># 创建聊天完成请求，调用 DashScope API</span>
            <span class="n">completion</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">client</span><span class="o">.</span><span class="n">chat</span><span class="o">.</span><span class="n">completions</span><span class="o">.</span><span class="n">create</span><span class="p">(</span>
                <span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">LLM_MODEL</span><span class="p">,</span>  <span class="c1"># 使用配置中的语言模型</span>
                <span class="n">messages</span><span class="o">=</span><span class="p">[</span>
                    <span class="p">{</span><span class="s2">"role"</span><span class="p">:</span> <span class="s2">"system"</span><span class="p">,</span> <span class="s2">"content"</span><span class="p">:</span> <span class="s2">"你是一个有用的助手。"</span><span class="p">},</span>  <span class="c1"># 系统提示</span>
                    <span class="p">{</span><span class="s2">"role"</span><span class="p">:</span> <span class="s2">"user"</span><span class="p">,</span> <span class="s2">"content"</span><span class="p">:</span> <span class="n">prompt</span><span class="p">},</span>  <span class="c1"># 用户输入的提示</span>
                <span class="p">]</span>
            <span class="p">)</span>
            <span class="c1"># 检查响应是否有效，返回答案内容</span>
            <span class="k">return</span> <span class="n">completion</span><span class="o">.</span><span class="n">choices</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">message</span><span class="o">.</span><span class="n">content</span> <span class="k">if</span> <span class="n">completion</span><span class="o">.</span><span class="n">choices</span> <span class="k">else</span> <span class="s2">"错误：无效的 LLM 响应"</span>
        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
            <span class="c1"># 记录 API 调用失败的错误日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">"LLM 调用失败: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
            <span class="c1"># 返回错误信息，便于调试</span>
            <span class="k">return</span> <span class="sa">f</span><span class="s2">"错误：LLM 调用失败 - </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span>
</code></pre></div>
<h3 id="4">4 查询处理<a class="headerlink" href="#4" title="Permanent link">¶</a></h3>
<ul>
<li>(<code>query</code>) 方法</li>
<li><strong>功能</strong>：处理用户查询，优先通过 BM25 搜索 MySQL，若无可靠答案则回退到 RAG 系统。</li>
<li><strong>关键点</strong>：设置 BM25 相似度阈值 0.85，记录查询和处理时间，支持知识域过滤。</li>
</ul>
<div class="highlight"><pre><span></span><code>    <span class="k">def</span><span class="w"> </span><span class="nf">query</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">query</span><span class="p">,</span> <span class="n">source_filter</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
        <span class="c1"># 定义查询方法，处理用户输入的查询</span>
        <span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>  <span class="c1"># 记录查询开始时间</span>
        <span class="c1"># 记录查询信息到日志</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"处理查询: '</span><span class="si">{</span><span class="n">query</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
        <span class="c1"># 执行 BM25 搜索，获取答案和是否需要 RAG 的标志</span>
        <span class="n">answer</span><span class="p">,</span> <span class="n">need_rag</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bm25_search</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.85</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">answer</span><span class="p">:</span>
            <span class="c1"># 如果找到可靠答案，记录答案到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"MySQL 答案: </span><span class="si">{</span><span class="n">answer</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
            <span class="c1"># 计算处理时间</span>
            <span class="n">processing_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span>
            <span class="c1"># 记录处理时间到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"查询处理耗时 </span><span class="si">{</span><span class="n">processing_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">秒"</span><span class="p">)</span>
            <span class="c1"># 返回 MySQL 答案</span>
            <span class="k">return</span> <span class="n">answer</span>
        <span class="k">elif</span> <span class="n">need_rag</span><span class="p">:</span>
            <span class="c1"># 如果需要 RAG，记录回退信息到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"无可靠 MySQL 答案，回退到 RAG"</span><span class="p">)</span>
            <span class="c1"># 调用 RAG 系统生成答案，支持知识域过滤</span>
            <span class="n">answer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rag_system</span><span class="o">.</span><span class="n">generate_answer</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">source_filter</span><span class="o">=</span><span class="n">source_filter</span><span class="p">)</span>
            <span class="c1"># 记录 RAG 答案到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RAG 答案: </span><span class="si">{</span><span class="n">answer</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
            <span class="c1"># 计算处理时间</span>
            <span class="n">processing_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span>
            <span class="c1"># 记录处理时间到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"查询处理耗时 </span><span class="si">{</span><span class="n">processing_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">秒"</span><span class="p">)</span>
            <span class="c1"># 返回 RAG 答案</span>
            <span class="k">return</span> <span class="n">answer</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="c1"># 如果无答案，记录信息到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"未找到答案"</span><span class="p">)</span>
            <span class="c1"># 计算处理时间</span>
            <span class="n">processing_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start_time</span>
            <span class="c1"># 记录处理时间到日志</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"查询处理耗时 </span><span class="si">{</span><span class="n">processing_time</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2">秒"</span><span class="p">)</span>
            <span class="c1"># 返回默认答案</span>
            <span class="k">return</span> <span class="s2">"未找到答案"</span>
</code></pre></div>
<h3 id="5">5 命令行交互<a class="headerlink" href="#5" title="Permanent link">¶</a></h3>
<ul>
<li>(<code>main</code>) 函数</li>
<li><strong>功能</strong>：提供交互式命令行界面，接受用户查询和知识域过滤，显示答案。</li>
<li><strong>关键点</strong>：验证知识域过滤的有效性，异常处理和资源清理确保系统健壮。</li>
</ul>
<div class="highlight"><pre><span></span><code><span class="k">def</span><span class="w"> </span><span class="nf">main</span><span class="p">():</span>
    <span class="c1"># 定义主函数，提供命令行交互界面</span>
    <span class="n">qa_system</span> <span class="o">=</span> <span class="n">IntegratedQASystem</span><span class="p">()</span>  <span class="c1"># 初始化问答系统</span>
    <span class="k">try</span><span class="p">:</span>
        <span class="c1"># 打印欢迎信息</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">欢迎使用集成问答系统！"</span><span class="p">)</span>
        <span class="c1"># 打印支持的知识域</span>
        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"支持的来源: </span><span class="si">{</span><span class="n">qa_system</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">VALID_SOURCES</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
        <span class="c1"># 提示用户输入查询或退出</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">"输入查询进行问答，输入 'exit' 退出。"</span><span class="p">)</span>
        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
            <span class="c1"># 获取用户输入的查询</span>
            <span class="n">query</span> <span class="o">=</span> <span class="nb">input</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">输入查询: "</span><span class="p">)</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
            <span class="k">if</span> <span class="n">query</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"exit"</span><span class="p">:</span>
                <span class="c1"># 如果用户输入 exit，记录退出日志</span>
                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"退出系统"</span><span class="p">)</span>
                <span class="c1"># 打印退出信息</span>
                <span class="nb">print</span><span class="p">(</span><span class="s2">"再见！"</span><span class="p">)</span>
                <span class="c1"># 退出循环</span>
                <span class="k">break</span>
            <span class="c1"># 获取用户输入的知识域过滤</span>
            <span class="n">source_filter</span> <span class="o">=</span> <span class="nb">input</span><span class="p">(</span><span class="sa">f</span><span class="s2">"输入来源过滤 (</span><span class="si">{</span><span class="s1">'/'</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">qa_system</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">VALID_SOURCES</span><span class="p">)</span><span class="si">}</span><span class="s2">) (按 Enter 跳过): "</span><span class="p">)</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
            <span class="k">if</span> <span class="n">source_filter</span> <span class="ow">and</span> <span class="n">source_filter</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">qa_system</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">VALID_SOURCES</span><span class="p">:</span>
                <span class="c1"># 如果知识域过滤无效，记录警告日志</span>
                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s2">"无效来源 '</span><span class="si">{</span><span class="n">source_filter</span><span class="si">}</span><span class="s2">'，忽略过滤"</span><span class="p">)</span>
                <span class="c1"># 打印无效信息，忽略过滤</span>
                <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"无效来源 '</span><span class="si">{</span><span class="n">source_filter</span><span class="si">}</span><span class="s2">'，继续无过滤。"</span><span class="p">)</span>
                <span class="n">source_filter</span> <span class="o">=</span> <span class="kc">None</span>
            <span class="c1"># 执行查询，获取答案</span>
            <span class="n">answer</span> <span class="o">=</span> <span class="n">qa_system</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">source_filter</span><span class="p">)</span>
            <span class="c1"># 打印答案</span>
            <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="se">\n</span><span class="s2">答案: </span><span class="si">{</span><span class="n">answer</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
    <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
        <span class="c1"># 记录系统错误日志</span>
        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">"系统错误: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
        <span class="c1"># 打印错误信息</span>
        <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"发生错误: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
    <span class="k">finally</span><span class="p">:</span>
        <span class="c1"># 无论是否发生错误，关闭 MySQL 连接</span>
        <span class="n">qa_system</span><span class="o">.</span><span class="n">mysql_client</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>

<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">"__main__"</span><span class="p">:</span>
    <span class="c1"># 如果脚本作为主程序运行，调用 main 函数</span>
    <span class="n">main</span><span class="p">()</span>
</code></pre></div>
<h2 id="_5">章节小结<a class="headerlink" href="#_5" title="Permanent link">¶</a></h2>
<p>本章展示了如何通过 <code>old_main.py</code> 构建一个融合 MySQL FAQ 和 RAG 的智能问答系统。系统利用 BM25 算法快速匹配结构化数据，RAG 系统处理复杂查询，配备日志记录和错误处理，适合知识库场景下的实时问答需求。</p>


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