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            <span id="subtitle">【探索】使用 qdrant 进行向量检索</span>
          
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            <h1 id="seo-header">【探索】使用 qdrant 进行向量检索</h1>
            
              <p id="updated-time" class="note note-info" style="">
                
                  
                    Last updated on November 10, 2024 pm
                  
                
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              <div class="markdown-body">
                
                <p><a href="https://hexo.limour.top/go/#aHR0cHM6Ly9naXRodWIuY29tL3FkcmFudC9xZHJhbnQ=" rel="noopener external nofollow noreferrer">Qdrant</a> 是一个开源的向量数据库，专为高性能相似性搜索和机器学习应用而设计，比 <a href="./-qian-yi--ji-yu-Chroma-da-jian-ge-ren-zhi-shi-ku-de-quan-wen-suo-yin">Chroma</a> 更轻量(约80MiB)更快。它支持基于余弦相似度、欧氏距离等多种相似性度量的向量检索，并提供了灵活的过滤和分组功能。Qdrant 使用 Rust 语言编写，具有高效的索引和存储机制，能够快速处理大规模向量数据，适用于推荐系统、语义搜索、图像相似性匹配等场景。它提供了简单易用的 API，支持 gRPC 和 REST 接口，并且可以轻松集成到各种编程语言和机器学习框架中，是构建向量相似性搜索应用的理想选择。</p>
<h2 id="部署">部署</h2>
<ul>
<li><a href="/Docker-bu-shu-Nginx-Proxy-Manager">反向代理服务</a></li>
</ul>
<figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><code class="hljs bash"><span class="hljs-built_in">mkdir</span> -p ~/app/qdrant &amp;&amp; <span class="hljs-built_in">cd</span> ~/app/qdrant &amp;&amp; nano docker-compose.yml<br>wget https://raw.githubusercontent.com/qdrant/qdrant/refs/heads/master/config/production.yaml<br>sudo docker compose up -d<br>sudo docker compose logs<br></code></pre></td></tr></table></figure>
<figure class="highlight yml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br></pre></td><td class="code"><pre><code class="hljs yml"><span class="hljs-attr">services:</span><br>  <span class="hljs-attr">qdrant:</span><br>    <span class="hljs-attr">image:</span> <span class="hljs-string">qdrant/qdrant:latest</span><br>    <span class="hljs-attr">restart:</span> <span class="hljs-string">always</span><br>    <span class="hljs-attr">expose:</span><br>      <span class="hljs-bullet">-</span> <span class="hljs-number">6333</span><br>      <span class="hljs-bullet">-</span> <span class="hljs-number">6334</span><br>      <span class="hljs-bullet">-</span> <span class="hljs-number">6335</span><br>    <span class="hljs-attr">volumes:</span><br>      <span class="hljs-bullet">-</span> <span class="hljs-string">./qdrant_data:/qdrant/storage</span><br>      <span class="hljs-bullet">-</span> <span class="hljs-string">./production.yaml:/qdrant/config/production.yaml</span><br> <br><span class="hljs-attr">networks:</span><br>  <span class="hljs-attr">default:</span><br>    <span class="hljs-attr">external:</span> <span class="hljs-literal">true</span><br>    <span class="hljs-attr">name:</span> <span class="hljs-string">ngpm</span><br></code></pre></td></tr></table></figure>
<p><img src="https://img.limour.top/2024/11/10/673041358634e.webp" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt=""></p>
<ul>
<li>访问 <code>https://qdrant.limour.top/dashboard</code> 查看仪表盘</li>
</ul>
<h2 id="嵌入服务">嵌入服务</h2>
<ul>
<li>下载 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9naXRodWIuY29tL2dnZXJnYW5vdi9sbGFtYS5jcHAvcmVsZWFzZXM=" rel="noopener external nofollow noreferrer">llama.cpp</a>
<ul>
<li>下载 <code>cudart-llama-bin-win-cu11.7.1-x64</code></li>
<li>下载对应后缀的 <code>llama-b4061-bin-win-cuda-cu11.7.1-x64</code></li>
<li>将两者解压到同一个目录</li>
</ul>
</li>
<li>从 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9odWdnaW5nZmFjZS5jby9zcGFjZXMvbXRlYi9sZWFkZXJib2FyZA==" rel="noopener external nofollow noreferrer">MTEB</a> 上找一个良好的嵌入模型</li>
<li>下载 GGUF 格式的嵌入模型，比如 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9odWdnaW5nZmFjZS5jby93ZW5jYW4tbGFiL0RtZXRhLWVtYmVkZGluZy16aC1zbWFsbC1HR1VGL2Jsb2IvbWFpbi9EbWV0YS1lbWJlZGRpbmctemgtc21hbGwtUTRfS19NLmdndWY=" rel="noopener external nofollow noreferrer">Dmeta-embedding-zh-small-GGUF</a></li>
<li>根据<a href="https://hexo.limour.top/go/#aHR0cHM6Ly9naXRodWIuY29tL2dnZXJnYW5vdi9sbGFtYS5jcHAvYmxvYi9tYXN0ZXIvZXhhbXBsZXMvc2VydmVyL1JFQURNRS5tZA==" rel="noopener external nofollow noreferrer">文档</a>配置参数启动嵌入服务</li>
</ul>
<figure class="highlight powershell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs powershell">./llama<span class="hljs-literal">-server</span>.exe <span class="hljs-literal">-m</span> ./embd/Dmeta<span class="hljs-literal">-embedding-zh-small-Q4_K_M</span>.gguf <span class="hljs-literal">-c</span> <span class="hljs-number">1024</span> <span class="hljs-literal">--embedding</span> <span class="hljs-literal">-fa</span> <span class="hljs-literal">-ngl</span> <span class="hljs-number">99</span><br></code></pre></td></tr></table></figure>
<ul>
<li>测试嵌入模型</li>
</ul>
<figure class="highlight powershell"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br></pre></td><td class="code"><pre><code class="hljs powershell"><span class="hljs-variable">$headers</span> = <span class="hljs-selector-tag">@</span>&#123;<br>    <span class="hljs-string">&quot;Content-Type&quot;</span> = <span class="hljs-string">&quot;application/json&quot;</span><br>    <span class="hljs-string">&quot;Authorization&quot;</span> = <span class="hljs-string">&quot;Bearer no-key&quot;</span><br>&#125;<br><br><span class="hljs-variable">$body</span> = <span class="hljs-selector-tag">@</span>&#123;<br>    <span class="hljs-string">&quot;input&quot;</span> = <span class="hljs-selector-tag">@</span>(<span class="hljs-string">&quot;hello&quot;</span>, <span class="hljs-string">&quot;world&quot;</span>)<br>    <span class="hljs-string">&quot;model&quot;</span> = <span class="hljs-string">&quot;GPT-4o&quot;</span><br>    <span class="hljs-string">&quot;encoding_format&quot;</span> = <span class="hljs-string">&quot;float&quot;</span><br>&#125; | <span class="hljs-built_in">ConvertTo-Json</span><br><br><span class="hljs-variable">$response</span> = <span class="hljs-built_in">Invoke-WebRequest</span> <span class="hljs-literal">-Uri</span> <span class="hljs-string">&quot;http://localhost:8080/v1/embeddings&quot;</span> <span class="hljs-literal">-Method</span> Post <span class="hljs-literal">-Headers</span> <span class="hljs-variable">$headers</span> <span class="hljs-literal">-Body</span> <span class="hljs-variable">$body</span><br><br><span class="hljs-built_in">echo</span> <span class="hljs-variable">$response</span>.Content<br></code></pre></td></tr></table></figure>
<h2 id="客户端">客户端</h2>
<figure class="highlight powershell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs powershell">conda create <span class="hljs-literal">-n</span> rag conda<span class="hljs-literal">-forge</span>::qdrant<span class="hljs-literal">-client</span><br></code></pre></td></tr></table></figure>
<ul>
<li>获取测试所用内容 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9naXRodWIuY29tL0xpbW91ci1kZXYvdGVzdF9yYWdfcWRyYW50" rel="noopener external nofollow noreferrer">test_rag_qdrant</a></li>
</ul>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br></pre></td><td class="code"><pre><code class="hljs python"><span class="hljs-keyword">import</span> os<br><span class="hljs-keyword">from</span> qdrant_client <span class="hljs-keyword">import</span> QdrantClient<br><span class="hljs-keyword">from</span> qdrant_client.models <span class="hljs-keyword">import</span> VectorParams, Distance<br><span class="hljs-keyword">from</span> qdrant_client.models <span class="hljs-keyword">import</span> PointStruct<br><span class="hljs-keyword">from</span> m98_rag <span class="hljs-keyword">import</span> embd, readChunks<br><br>QDRANT_URL = os.getenv(<span class="hljs-string">&#x27;QDRANT_URL&#x27;</span>, <span class="hljs-string">&#x27;http://localhost:6333&#x27;</span>)<br>QDRANT_KEY = os.getenv(<span class="hljs-string">&#x27;QDRANT_KEY&#x27;</span>, <span class="hljs-string">&#x27;&#x27;</span>)<br><br>client = QdrantClient(url=QDRANT_URL,<br>                      api_key=QDRANT_KEY,<br>                      timeout=<span class="hljs-number">100</span>)<br><br><span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> client.collection_exists(<span class="hljs-string">&quot;my_collection&quot;</span>):<br>    client.create_collection(<br>        collection_name=<span class="hljs-string">&quot;my_collection&quot;</span>,<br>        vectors_config=VectorParams(size=<span class="hljs-number">768</span>, distance=Distance.COSINE)<br>    )<br><br><span class="hljs-keyword">if</span> __name__ == <span class="hljs-string">&#x27;__main__&#x27;</span>:<br>    <span class="hljs-built_in">print</span>(QDRANT_URL)<br>    <span class="hljs-built_in">print</span>(QDRANT_KEY)<br>    chunks = readChunks(<span class="hljs-string">&#x27;./test.md&#x27;</span>)<br>    <span class="hljs-keyword">for</span> i <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">0</span>, <span class="hljs-built_in">len</span>(chunks), <span class="hljs-number">8</span>):<br>        batch = chunks[i: i+<span class="hljs-number">8</span>]<br>        <span class="hljs-built_in">print</span>(batch)<br>        vectors = embd(batch)<br>        client.upsert(<br>            collection_name=<span class="hljs-string">&quot;my_collection&quot;</span>,<br>            points=[<br>                PointStruct(<br>                    <span class="hljs-built_in">id</span>=i+idx,<br>                    vector=vector[<span class="hljs-number">1</span>],<br>                    payload=&#123;<span class="hljs-string">&quot;text&quot;</span>: vector[<span class="hljs-number">0</span>]&#125;<br>                )<br>                <span class="hljs-keyword">for</span> idx, vector <span class="hljs-keyword">in</span> <span class="hljs-built_in">enumerate</span>(vectors)<br>            ]<br>        )<br>    <span class="hljs-comment"># 进行搜索</span><br>    query_vector = embd([<span class="hljs-string">&#x27;机器人限拥令是什么？&#x27;</span>])<br>    hits = client.search(<br>        collection_name=<span class="hljs-string">&quot;my_collection&quot;</span>,<br>        query_vector=query_vector[<span class="hljs-number">0</span>][<span class="hljs-number">1</span>],<br>        limit=<span class="hljs-number">5</span>  <span class="hljs-comment"># Return 5 closest points</span><br>    )<br>    <span class="hljs-built_in">print</span>(hits[<span class="hljs-number">0</span>].payload[<span class="hljs-string">&#x27;text&#x27;</span>])<br></code></pre></td></tr></table></figure>
<ul>
<li>所得到的结果还不错~</li>
</ul>
<figure class="highlight txt"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><code class="hljs txt">24小时客服在线电话：1919-114514810 <br> *注意：根据《国家质量标准认证iso7002》，《机器人管理条例》，机器人类产品不宜连续使用超过十五年。请定期到指定售后地点进行重置。 <br>## 十三<br>机器人限拥令的实施开端于2090年5月的一起案件。<br>被害人约翰逊的尸体在其失踪的次日被发现于他自家的住宅。死状相当惨烈：在R级新闻团体才能合法展示的照片中，整个人被从身体中间沿着脊椎切割成两半，一半被他所购买的机器人ct13694582(型号为玛格丽特c6)紧紧抱在床上，另一半被他购买的另一台机器人ct12487967(型号为子矜7z)小心的存放在冷库里。案件现场几乎满地都是受害人的血，散发着浓烈的腥味，而身为罪魁祸首的两台机器人，一台已经关机，另一台则刻板地重复着几个动作。<br>根据记录，两台机器人和受害人共处的时间分别长达18年和17年。在这么长的时间里，受害人以近乎均等的时间使用二者，并不下数百次的分别向它们倾诉 我最爱的是你  我只爱你一个人  你比她漂亮多了 等明显带有示爱情绪的情话。<br></code></pre></td></tr></table></figure>
                
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