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2.1 Ollama大模型高效管理工具 2.html

2.1 Ollama大模型高效管理工具 2.html 47 KB
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    281. 

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  285.     1.2 项目环境(window)
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    304. 

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  308.     1.3 项目环境(mac)
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  351.     ② 项目工具
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  362.             ② 项目工具
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  363.           </label>
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    372. 

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  376.     2.1 Ollama大模型高效管理工具
    377. 

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    394. 

  394.         
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  396.   
    397. 

  397.   <span class="md-ellipsis">
    398. 

  398.     2.2 LangChain基础知识.md
    399. 

  399.     
    400. 

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    416. 

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    417. 

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  418.   
    419. 

  419.   <span class="md-ellipsis">
    420. 

  420.     2.3 向量索引：HNSW、IVF与IVF_PQ
    421. 

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    438. 

  438.         
    439. 

  439.   
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  440.   
    441. 

  441.   <span class="md-ellipsis">
    442. 

  442.     2.4 Milvus向量数据库
    443. 

  443.     
    444. 

  444.   </span>
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    479. 

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    483. 

  483.     ③ 基于Mysql库的问答系统
    484. 

  484.     
    485. 

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  492.           <label class="md-nav__title" for="__nav_4">
    493. 

  493.             <span class="md-nav__icon md-icon"></span>
    494. 

  494.             ③ 基于Mysql库的问答系统
    495. 

  495.           </label>
    496. 

  496.           <ul class="md-nav__list" data-md-scrollfix>
    497. 

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    506. 

  506.         
    507. 

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    508. 

  508.   
    509. 

  509.   <span class="md-ellipsis">
    510. 

  510.     3.1 Python日志介绍与应用
    511. 

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    512. 

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    529. 

  529.         
    530. 

  530.   
    531. 

  531.   
    532. 

  532.   <span class="md-ellipsis">
    533. 

  533.     3.2 Redis数据库简介与使用
    534. 

  534.     
    535. 

  535.   </span>
    536. 

  536.   
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  537. 

  538.       </a>
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  551.       <a href="../%E2%91%A2%20%E5%9F%BA%E4%BA%8EMysql%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/3.3%20%E5%9F%BA%E4%BA%8EMysql%E6%95%B0%E6%8D%AE%E5%BA%93%E5%AE%9E%E7%8E%B0%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F.html" class="md-nav__link">
    552. 

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    553. 

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  554.   
    555. 

  555.   <span class="md-ellipsis">
    556. 

  556.     3.3 基于Mysql数据库实现问答系统
    557. 

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    575. 

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    579. 

  579.     3.4 BM25算法简介与应用
    580. 

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  581.   </span>
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    620. 

  620.     ④ 基于Milvus库的问答系统
    621. 

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  631.             ④ 基于Milvus库的问答系统
    632. 

  632.           </label>
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    634. 

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  642.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.1%20%E6%95%B4%E4%BD%93%E6%9E%B6%E6%9E%84%E4%B8%8E%E5%B7%A5%E7%A8%8B%E6%B5%81%E7%A8%8B.html" class="md-nav__link">
    643. 

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    647. 

  647.     4.1 整体架构与工程流程
    648. 

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    666. 

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  669.   <span class="md-ellipsis">
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  670.     4.2 基础模块
    671. 

  671.     
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    689. 

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    690. 

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    691. 

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    692. 

  692.   <span class="md-ellipsis">
    693. 

  693.     4.3 文档处理模块
    694. 

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    695. 

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    712. 

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    716. 

  716.     4.4 向量存储
    717. 

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  721.       </a>
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  733.     <li class="md-nav__item">
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  734.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.5%20prompts%E8%AE%BE%E8%AE%A1%E4%B8%8Equery%E6%84%8F%E5%9B%BE%E8%AF%86%E5%88%AB.html" class="md-nav__link">
    735. 

  735.         
    736. 

  736.   
    737. 

  737.   
    738. 

  738.   <span class="md-ellipsis">
    739. 

  739.     4.5 prompts设计与query意图识别
    740. 

  740.     
    741. 

  741.   </span>
    742. 

  742.   
    743. 

  743. 

  744.       </a>
    745. 

  745.     </li>
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  756.     <li class="md-nav__item">
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  757.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.6%20%E6%A3%80%E7%B4%A2%E7%AD%96%E7%95%A5%E4%B8%8ERAG%E7%B3%BB%E7%BB%9F%E8%AE%BE%E8%AE%A1.html" class="md-nav__link">
    758. 

  758.         
    759. 

  759.   
    760. 

  760.   
    761. 

  761.   <span class="md-ellipsis">
    762. 

  762.     4.6 检索策略与RAG系统设计
    763. 

  763.     
    764. 

  764.   </span>
    765. 

  765.   
    766. 

  766. 

  767.       </a>
    768. 

  768.     </li>
    769. 

  769.   
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  779.     <li class="md-nav__item">
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  780.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.7%20RAG%E7%B3%BB%E7%BB%9F%E8%BF%90%E8%A1%8C.html" class="md-nav__link">
    781. 

  781.         
    782. 

  782.   
    783. 

  783.   
    784. 

  784.   <span class="md-ellipsis">
    785. 

  785.     4.7 RAG系统运行
    786. 

  786.     
    787. 

  787.   </span>
    788. 

  788.   
    789. 

  789. 

  790.       </a>
    791. 

  791.     </li>
    792. 

  792.   
    793. 

  793. 

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  796.               
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  799.   
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  800.   
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    802. 

  802.     <li class="md-nav__item">
    803. 

  803.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.8%20%E6%96%87%E6%A1%A3%E8%A7%A3%E6%9E%90%E5%B7%A5%E5%85%B7%28%E6%89%A9%E5%B1%95%E8%B5%84%E6%96%99%29.html" class="md-nav__link">
    804. 

  804.         
    805. 

  805.   
    806. 

  806.   
    807. 

  807.   <span class="md-ellipsis">
    808. 

  808.     4.8 文档解析工具(扩展资料)
    809. 

  809.     
    810. 

  810.   </span>
    811. 

  811.   
    812. 

  812. 

  813.       </a>
    814. 

  814.     </li>
    815. 

  815.   
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  823.   
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  824.   
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  825.     <li class="md-nav__item">
    826. 

  826.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/4.9%20RAG%E4%B8%AD%E7%9A%84Query%E6%94%B9%E5%86%99%28%E6%89%A9%E5%B1%95%E8%B5%84%E6%96%99%29.html" class="md-nav__link">
    827. 

  827.         
    828. 

  828.   
    829. 

  829.   
    830. 

  830.   <span class="md-ellipsis">
    831. 

  831.     4.9 RAG中的Query改写(扩展资料)
    832. 

  832.     
    833. 

  833.   </span>
    834. 

  834.   
    835. 

  835. 

  836.       </a>
    837. 

  837.     </li>
    838. 

  838.   
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  848.     <li class="md-nav__item">
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  849.       <a href="../%E2%91%A3%20%E5%9F%BA%E4%BA%8EMilvus%E5%BA%93%E7%9A%84%E9%97%AE%E7%AD%94%E7%B3%BB%E7%BB%9F/%E6%95%B0%E6%8D%AE%E9%9B%86%E7%94%9F%E6%88%90%E4%B8%8E%E4%BC%98%E5%8C%96%28%E6%89%A9%E5%B1%95%E8%B5%84%E6%96%99%29.html" class="md-nav__link">
    850. 

  850.         
    851. 

  851.   
    852. 

  852.   
    853. 

  853.   <span class="md-ellipsis">
    854. 

  854.     数据集生成与优化(扩展资料)
    855. 

  855.     
    856. 

  856.   </span>
    857. 

  857.   
    858. 

  858. 

  859.       </a>
    860. 

  860.     </li>
    861. 

  861.   
    862. 

  862. 

  863.               
    864. 

  864.             
    865. 

  865.           </ul>
    866. 

  866.         </nav>
    867. 

  867.       
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  868.     </li>
    869. 

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  883.     <li class="md-nav__item md-nav__item--nested">
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  884.       
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  887.         <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6" >
    888. 

  888.         
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  889.           
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  890.           <label class="md-nav__link" for="__nav_6" id="__nav_6_label" tabindex="0">
    891. 

  891.             
    892. 

  892.   
    893. 

  893.   
    894. 

  894.   <span class="md-ellipsis">
    895. 

  895.     ⑤ RAG系统评估
    896. 

  896.     
    897. 

  897.   </span>
    898. 

  898.   
    899. 

  899. 

  900.             <span class="md-nav__icon md-icon"></span>
    901. 

  901.           </label>
    902. 

  902.         
    903. 

  903.         <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_6_label" aria-expanded="false">
    904. 

  904.           <label class="md-nav__title" for="__nav_6">
    905. 

  905.             <span class="md-nav__icon md-icon"></span>
    906. 

  906.             ⑤ RAG系统评估
    907. 

  907.           </label>
    908. 

  908.           <ul class="md-nav__list" data-md-scrollfix>
    909. 

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  916.     <li class="md-nav__item">
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  917.       <a href="../%E2%91%A4%20RAG%E7%B3%BB%E7%BB%9F%E8%AF%84%E4%BC%B0/5.1%20RAG%E7%B3%BB%E7%BB%9F%E8%AF%84%E4%BC%B0%E5%B7%A5%E5%85%B7.html" class="md-nav__link">
    918. 

  918.         
    919. 

  919.   
    920. 

  920.   
    921. 

  921.   <span class="md-ellipsis">
    922. 

  922.     5.1 RAG系统评估工具
    923. 

  923.     
    924. 

  924.   </span>
    925. 

  925.   
    926. 

  926. 

  927.       </a>
    928. 

  928.     </li>
    929. 

  929.   
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  939.     <li class="md-nav__item">
    940. 

  940.       <a href="../%E2%91%A4%20RAG%E7%B3%BB%E7%BB%9F%E8%AF%84%E4%BC%B0/5.2%20%E5%AE%9E%E7%8E%B0EnterpriseKB-RAG%E7%B3%BB%E7%BB%9F%E7%9A%84%E8%AF%84%E4%BC%B0.html" class="md-nav__link">
    941. 

  941.         
    942. 

  942.   
    943. 

  943.   
    944. 

  944.   <span class="md-ellipsis">
    945. 

  945.     5.2 实现企业知识库RAG系统的评估
    946. 

  946.     
    947. 

  947.   </span>
    948. 

  948.   
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  949. 

  950.       </a>
    951. 

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  962.     <li class="md-nav__item">
    963. 

  963.       <a href="../%E2%91%A4%20RAG%E7%B3%BB%E7%BB%9F%E8%AF%84%E4%BC%B0/5.3%20RAG%E8%AF%84%E4%BC%B0%E6%95%B0%E6%8D%AE%E9%9B%86%E7%9A%84%E6%9E%84%E9%80%A0%28%E6%89%A9%E5%B1%95%29.html" class="md-nav__link">
    964. 

  964.         
    965. 

  965.   
    966. 

  966.   
    967. 

  967.   <span class="md-ellipsis">
    968. 

  968.     5.3 RAG评估数据集的构造(扩展)
    969. 

  969.     
    970. 

  970.   </span>
    971. 

  971.   
    972. 

  972. 

  973.       </a>
    974. 

  974.     </li>
    975. 

  975.   
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  976. 

  977.               
    978. 

  978.             
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  979.           </ul>
    980. 

  980.         </nav>
    981. 

  981.       
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  997.     <li class="md-nav__item md-nav__item--nested">
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  1001.         <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7" >
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  1004.           <label class="md-nav__link" for="__nav_7" id="__nav_7_label" tabindex="0">
    1005. 

  1005.             
    1006. 

  1006.   
    1007. 

  1007.   
    1008. 

  1008.   <span class="md-ellipsis">
    1009. 

  1009.     ⑥ 融合Mysql的RAG系统
    1010. 

  1010.     
    1011. 

  1011.   </span>
    1012. 

  1012.   
    1013. 

  1013. 

  1014.             <span class="md-nav__icon md-icon"></span>
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  1017.         <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_7_label" aria-expanded="false">
    1018. 

  1018.           <label class="md-nav__title" for="__nav_7">
    1019. 

  1019.             <span class="md-nav__icon md-icon"></span>
    1020. 

  1020.             ⑥ 融合Mysql的RAG系统
    1021. 

  1021.           </label>
    1022. 

  1022.           <ul class="md-nav__list" data-md-scrollfix>
    1023. 

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    1024. 

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  1031.       <a href="../%E2%91%A5%20%E8%9E%8D%E5%90%88Mysql%E7%9A%84RAG%E7%B3%BB%E7%BB%9F/6.1%20%E8%9E%8D%E5%90%88FQA%E5%92%8C%E7%9F%A5%E8%AF%86%E5%BA%93%E6%9F%A5%E8%AF%A2.html" class="md-nav__link">
    1032. 

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  1033.   
    1034. 

  1034.   
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  1035.   <span class="md-ellipsis">
    1036. 

  1036.     6.1 融合FQA和知识库查询
    1037. 

  1037.     
    1038. 

  1038.   </span>
    1039. 

  1039.   
    1040. 

  1040. 

  1041.       </a>
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  1054.       <a href="../%E2%91%A5%20%E8%9E%8D%E5%90%88Mysql%E7%9A%84RAG%E7%B3%BB%E7%BB%9F/6.2%20%E8%9E%8D%E5%90%88FAQ%20%E5%92%8C%E7%9F%A5%E8%AF%86%E5%BA%93%E6%9F%A5%E8%AF%A2%EF%BC%88%E4%BC%98%E5%8C%96%E7%89%88%EF%BC%89.html" class="md-nav__link">
    1055. 

  1055.         
    1056. 

  1056.   
    1057. 

  1057.   
    1058. 

  1058.   <span class="md-ellipsis">
    1059. 

  1059.     6.2 融合FAQ 和知识库查询（优化版）
    1060. 

  1060.     
    1061. 

  1061.   </span>
    1062. 

  1062.   
    1063. 

  1063. 

  1064.       </a>
    1065. 

  1065.     </li>
    1066. 

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  1075.   
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  1076.     <li class="md-nav__item">
    1077. 

  1077.       <a href="../%E2%91%A5%20%E8%9E%8D%E5%90%88Mysql%E7%9A%84RAG%E7%B3%BB%E7%BB%9F/6.3%20%E5%9F%BA%E4%BA%8E%20FastAPI%20%E7%9A%84%20FAQ%20%E4%B8%8E%E7%9F%A5%E8%AF%86%E5%BA%93%E6%9F%A5%E8%AF%A2%E6%8E%A5%E5%8F%A3.html" class="md-nav__link">
    1078. 

  1078.         
    1079. 

  1079.   
    1080. 

  1080.   
    1081. 

  1081.   <span class="md-ellipsis">
    1082. 

  1082.     6.3 基于 FastAPI 的 FAQ 与知识库查询接口
    1083. 

  1083.     
    1084. 

  1084.   </span>
    1085. 

  1085.   
    1086. 

  1086. 

  1087.       </a>
    1088. 

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    1089. 

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  1099.     <li class="md-nav__item">
    1100. 

  1100.       <a href="../%E2%91%A5%20%E8%9E%8D%E5%90%88Mysql%E7%9A%84RAG%E7%B3%BB%E7%BB%9F/6.4%20FastAPI%E5%92%8CFlask%E7%9A%84%E5%8C%BA%E5%88%AB%E5%92%8C%E8%81%94%E7%B3%BB%28%E6%89%A9%E5%B1%95%E8%B5%84%E6%96%99%29.html" class="md-nav__link">
    1101. 

  1101.         
    1102. 

  1102.   
    1103. 

  1103.   
    1104. 

  1104.   <span class="md-ellipsis">
    1105. 

  1105.     6.4 FastAPI和Flask的区别和联系(扩展资料)
    1106. 

  1106.     
    1107. 

  1107.   </span>
    1108. 

  1108.   
    1109. 

  1109. 

  1110.       </a>
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    1112. 

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  1116.           </ul>
    1117. 

  1117.         </nav>
    1118. 

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    1120. 

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  1134.     <li class="md-nav__item md-nav__item--nested">
    1135. 

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  1138.         <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_8" >
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  1141.           <label class="md-nav__link" for="__nav_8" id="__nav_8_label" tabindex="0">
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  1144.   
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  1145.   <span class="md-ellipsis">
    1146. 

  1146.     ⑦ 企业级生产环境部署
    1147. 

  1147.     
    1148. 

  1148.   </span>
    1149. 

  1149.   
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  1151.             <span class="md-nav__icon md-icon"></span>
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  1154.         <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_8_label" aria-expanded="false">
    1155. 

  1155.           <label class="md-nav__title" for="__nav_8">
    1156. 

  1156.             <span class="md-nav__icon md-icon"></span>
    1157. 

  1157.             ⑦ 企业级生产环境部署
    1158. 

  1158.           </label>
    1159. 

  1159.           <ul class="md-nav__list" data-md-scrollfix>
    1160. 

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  1167.     <li class="md-nav__item">
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  1168.       <a href="../%E2%91%A6%20%E4%BC%81%E4%B8%9A%E7%BA%A7%E7%94%9F%E4%BA%A7%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2/7.1%20Docker%E7%9A%84%E5%8E%9F%E7%90%86%E5%92%8C%E5%9F%BA%E6%9C%AC%E4%BD%BF%E7%94%A8.html" class="md-nav__link">
    1169. 

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    1170. 

  1170.   
    1171. 

  1171.   
    1172. 

  1172.   <span class="md-ellipsis">
    1173. 

  1173.     7.1 Docker的原理和基本使用
    1174. 

  1174.     
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  1175.   </span>
    1176. 

  1176.   
    1177. 

  1177. 

  1178.       </a>
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  1190.     <li class="md-nav__item">
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  1191.       <a href="../%E2%91%A6%20%E4%BC%81%E4%B8%9A%E7%BA%A7%E7%94%9F%E4%BA%A7%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2/7.2%20%E6%9C%8D%E5%8A%A1%E9%83%A8%E7%BD%B2.html" class="md-nav__link">
    1192. 

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  1195.   <span class="md-ellipsis">
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  1196.     7.2 服务部署
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  1198.   </span>
    1199. 

  1199.   
    1200. 

  1200. 

  1201.       </a>
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  1207.           </ul>
    1208. 

  1208.         </nav>
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    1215. 

  1215. </nav>
    1216. 

  1216.                   </div>
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  1217.                 </div>
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  1218.               </div>
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  1221.               
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  1222.               <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
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  1223.                 <div class="md-sidebar__scrollwrap">
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  1224.                   <div class="md-sidebar__inner">
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  1225.                     
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  1226. 

  1227. <nav class="md-nav md-nav--secondary" aria-label="目录">
    1228. 

  1228.   
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  1229.   
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  1231.   
    1232. 

  1232.     <label class="md-nav__title" for="__toc">
    1233. 

  1233.       <span class="md-nav__icon md-icon"></span>
    1234. 

  1234.       目录
    1235. 

  1235.     </label>
    1236. 

  1236.     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
    1237. 

  1237.       
    1238. 

  1238.         <li class="md-nav__item">
    1239. 

  1239.   <a href="#_1" class="md-nav__link">
    1240. 

  1240.     <span class="md-ellipsis">
    1241. 

  1241.       学习目标
    1242. 

  1242.     </span>
    1243. 

  1243.   </a>
    1244. 

  1244.   
    1245. 

  1245. </li>
    1246. 

  1246.       
    1247. 

  1247.         <li class="md-nav__item">
    1248. 

  1248.   <a href="#ollama" class="md-nav__link">
    1249. 

  1249.     <span class="md-ellipsis">
    1250. 

  1250.       一、Ollama概述
    1251. 

  1251.     </span>
    1252. 

  1252.   </a>
    1253. 

  1253.   
    1254. 

  1254.     <nav class="md-nav" aria-label="一、Ollama概述">
    1255. 

  1255.       <ul class="md-nav__list">
    1256. 

  1256.         
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  1257.           <li class="md-nav__item">
    1258. 

  1258.   <a href="#1-ollama" class="md-nav__link">
    1259. 

  1259.     <span class="md-ellipsis">
    1260. 

  1260.       1 Ollama简介
    1261. 

  1261.     </span>
    1262. 

  1262.   </a>
    1263. 

  1263.   
    1264. 

  1264. </li>
    1265. 

  1265.         
    1266. 

  1266.           <li class="md-nav__item">
    1267. 

  1267.   <a href="#2-ollama" class="md-nav__link">
    1268. 

  1268.     <span class="md-ellipsis">
    1269. 

  1269.       2 Ollama的安装
    1270. 

  1270.     </span>
    1271. 

  1271.   </a>
    1272. 

  1272.   
    1273. 

  1273.     <nav class="md-nav" aria-label="2 Ollama的安装">
    1274. 

  1274.       <ul class="md-nav__list">
    1275. 

  1275.         
    1276. 

  1276.           <li class="md-nav__item">
    1277. 

  1277.   <a href="#21-ollama" class="md-nav__link">
    1278. 

  1278.     <span class="md-ellipsis">
    1279. 

  1279.       2.1 下载安装Ollama
    1280. 

  1280.     </span>
    1281. 

  1281.   </a>
    1282. 

  1282.   
    1283. 

  1283. </li>
    1284. 

  1284.         
    1285. 

  1285.           <li class="md-nav__item">
    1286. 

  1286.   <a href="#22" class="md-nav__link">
    1287. 

  1287.     <span class="md-ellipsis">
    1288. 

  1288.       2.2 环境配置
    1289. 

  1289.     </span>
    1290. 

  1290.   </a>
    1291. 

  1291.   
    1292. 

  1292. </li>
    1293. 

  1293.         
    1294. 

  1294.           <li class="md-nav__item">
    1295. 

  1295.   <a href="#23-ollama" class="md-nav__link">
    1296. 

  1296.     <span class="md-ellipsis">
    1297. 

  1297.       2.3 运行Ollama
    1298. 

  1298.     </span>
    1299. 

  1299.   </a>
    1300. 

  1300.   
    1301. 

  1301. </li>
    1302. 

  1302.         
    1303. 

  1303.       </ul>
    1304. 

  1304.     </nav>
    1305. 

  1305.   
    1306. 

  1306. </li>
    1307. 

  1307.         
    1308. 

  1308.       </ul>
    1309. 

  1309.     </nav>
    1310. 

  1310.   
    1311. 

  1311. </li>
    1312. 

  1312.       
    1313. 

  1313.         <li class="md-nav__item">
    1314. 

  1314.   <a href="#ollama_1" class="md-nav__link">
    1315. 

  1315.     <span class="md-ellipsis">
    1316. 

  1316.       二、Ollama应用
    1317. 

  1317.     </span>
    1318. 

  1318.   </a>
    1319. 

  1319.   
    1320. 

  1320.     <nav class="md-nav" aria-label="二、Ollama应用">
    1321. 

  1321.       <ul class="md-nav__list">
    1322. 

  1322.         
    1323. 

  1323.           <li class="md-nav__item">
    1324. 

  1324.   <a href="#1-python-ollama-api" class="md-nav__link">
    1325. 

  1325.     <span class="md-ellipsis">
    1326. 

  1326.       1 在 Python 中使用 Ollama API
    1327. 

  1327.     </span>
    1328. 

  1328.   </a>
    1329. 

  1329.   
    1330. 

  1330. </li>
    1331. 

  1331.         
    1332. 

  1332.           <li class="md-nav__item">
    1333. 

  1333.   <a href="#2-langchain" class="md-nav__link">
    1334. 

  1334.     <span class="md-ellipsis">
    1335. 

  1335.       2 LangChain调用
    1336. 

  1336.     </span>
    1337. 

  1337.   </a>
    1338. 

  1338.   
    1339. 

  1339. </li>
    1340. 

  1340.         
    1341. 

  1341.           <li class="md-nav__item">
    1342. 

  1342.   <a href="#3-requests" class="md-nav__link">
    1343. 

  1343.     <span class="md-ellipsis">
    1344. 

  1344.       3 requests调用
    1345. 

  1345.     </span>
    1346. 

  1346.   </a>
    1347. 

  1347.   
    1348. 

  1348. </li>
    1349. 

  1349.         
    1350. 

  1350.       </ul>
    1351. 

  1351.     </nav>
    1352. 

  1352.   
    1353. 

  1353. </li>
    1354. 

  1354.       
    1355. 

  1355.         <li class="md-nav__item">
    1356. 

  1356.   <a href="#_2" class="md-nav__link">
    1357. 

  1357.     <span class="md-ellipsis">
    1358. 

  1358.       本节小结
    1359. 

  1359.     </span>
    1360. 

  1360.   </a>
    1361. 

  1361.   
    1362. 

  1362. </li>
    1363. 

  1363.       
    1364. 

  1364.     </ul>
    1365. 

  1365.   
    1366. 

  1366. </nav>
    1367. 

  1367.                   </div>
    1368. 

  1368.                 </div>
    1369. 

  1369.               </div>
    1370. 

  1370.             
    1371. 

  1371.           
    1372. 

  1372.           
    1373. 

  1373.             <div class="md-content" data-md-component="content">
    1374. 

  1374.               <article class="md-content__inner md-typeset">
    1375. 

  1375.                 
    1376. 

  1376.                   
    1377. 

  1377. 

  1378. 

  1379. 

  1380.   <h1>2.1 Ollama大模型高效管理工具</h1>
    1381. 

  1381. 

  1382. <h2 id="_1">学习目标<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h2>
    1383. 

  1383. <ul>
    1384. 

  1384. <li>了解项目开发背景</li>
    1385. 

  1385. <li>掌握融合本地知识的RAG系统实现过程</li>
    1386. 

  1386. </ul>
    1387. 

  1387. <h2 id="ollama">一、Ollama概述<a class="headerlink" href="#ollama" title="Permanent link">&para;</a></h2>
    1388. 

  1388. <h3 id="1-ollama">1 Ollama简介<a class="headerlink" href="#1-ollama" title="Permanent link">&para;</a></h3>
    1389. 

  1389. <p>随着人工智能技术的快速发展，大型语言模型 LLM 已成为NLP领域的重要工具。然而，这些模型的运行通常需要大量的计算资源和复杂的部署流程。为了解决这个问题，Ollama应运而生，成为了一个高效的本地大语言模型LLM运行专家。</p>
    1390. 

  1390. <p>Ollama是一个开源的大型语言模型服务工具，它帮助用户快速在本地运行大模型。通过简单的安装指令，用户可以执行一条命令就在本地运行开源大型语言模型，如Llama 2。Ollama极大地简化了部署和管理LLM的过程，使得用户能够快速地在本地运行大型语言模型。</p>
    1391. 

  1391. <hr />
    1392. 

  1392. <h3 id="2-ollama">2 Ollama的安装<a class="headerlink" href="#2-ollama" title="Permanent link">&para;</a></h3>
    1393. 

  1393. <h4 id="21-ollama">2.1 下载安装Ollama<a class="headerlink" href="#21-ollama" title="Permanent link">&para;</a></h4>
    1394. 

  1394. <ul>
    1395. 

  1395. <li>
    1396. 

  1396. <p>Ollama主页：<a href="https://ollama.com/">https://ollama.com/</a> ，支持macOS, Linux 和 Windows 系统，如果是macOS、Linux系统，直接安装使用即可；如果是Windows，需要按照以下教程进行安装使用：</p>
    1397. 

  1397. </li>
    1398. 

  1398. <li>
    1399. 

  1399. <p>点击下载按钮，获取<code>OllamaSetup.exe</code>安装程序。</p>
    1400. 

  1400. </li>
    1401. 

  1401. </ul>
    1402. 

  1402. <div align=center><img src="../img/9-2-1.png" style="zoom:40%" ><img/></div>
    1403. 

  1403. 

  1404. <div align=center><img src="../img/9-2-2.png" style="zoom:40%" ><img/></div>
    1405. 

  1405. 

  1406. <ul>
    1407. 

  1407. <li>双击安装文件，点击「Install」开始安装。目前的Ollama会默认安装到C盘，路径如下：<code>C:\Users\%username%\AppData\Local\Programs\Ollama</code>，并不会让用户自定义选择安装路径。</li>
    1408. 

  1408. </ul>
    1409. 

  1409. <div align=center><img src="../img/9-2-3.png" style="zoom:30%" ><img/></div>
    1410. 

  1410. 

  1411. <div align=center><img src="../img/9-2-4.png" style="zoom:40%" ><img/></div>
    1412. 

  1412. 

  1413. <ul>
    1414. 

  1414. <li>安装完成后，会在电脑右下角出现Ollama图标，可以不用先启动Ollama，先退出做一些必要路径的配置！右键图标，会出现退出的按钮「Quit Ollama」，注意：一定要退出Ollama，否则下边的环境配置无法生效！</li>
    1415. 

  1415. </ul>
    1416. 

  1416. <div align=center><img src="../img/9-2-5.png" style="zoom:60%" ><img/></div>
    1417. 

  1417. 

  1418. <hr />
    1419. 

  1419. <h4 id="22">2.2 环境配置<a class="headerlink" href="#22" title="Permanent link">&para;</a></h4>
    1420. 

  1420. <ul>
    1421. 

  1421. <li>
    1422. 

  1422. <p>关闭开机自启动（可选）：</p>
    1423. 

  1423. </li>
    1424. 

  1424. <li>
    1425. 

  1425. <p>Ollama 默认会随 Windows 自动启动，可以在「文件资源管理器」的地址栏中访问以下路径，删除其中的Ollama.lnk快捷方式文件，阻止它自动启动。</p>
    1426. 

  1426. </li>
    1427. 

  1427. </ul>
    1428. 

  1428. <div class="highlight"><pre><span></span><code>%APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup
    1429. 

  1429. </code></pre></div>
    1430. 

  1430. <div align=center><img src="../img/9-2-6.png" style="zoom:60%" ><img/></div>
    1431. 

  1431. 

  1432. <ul>
    1433. 

  1433. <li>
    1434. 

  1434. <p>配置环境变量（必须）：</p>
    1435. 

  1435. </li>
    1436. 

  1436. <li>
    1437. 

  1437. <p>Ollama 的默认模型存储路径如下：C:\Users\%username%.ollama\models，无论 C 盘空间大小，需要安装多少模型，都建议换一个存放路径到其它盘，否则会影响电脑运行速度。</p>
    1438. 

  1438. </li>
    1439. 

  1439. <li>打开「系统环境变量」，新建一个系统变量OLLAMA_MODELS ，然后设置ollama模型的存储路径。</li>
    1440. 

  1440. <li>变量名：OLLAMA_MODELS</li>
    1441. 

  1441. <li>变量值（路径）：D:\Work\ollama\models</li>
    1442. 

  1442. </ul>
    1443. 

  1443. <div align=center><img src="../img/9-2-7.png" style="zoom:60%" ><img/></div>
    1444. 

  1444. 

  1445. <hr />
    1446. 

  1446. <h4 id="23-ollama">2.3 运行Ollama<a class="headerlink" href="#23-ollama" title="Permanent link">&para;</a></h4>
    1447. 

  1447. <ul>
    1448. 

  1448. <li>将上述更改的环境变量保存后，在「开始」菜单中找到并重新启动 Ollama。找到ollama.exe的所在位置，在该位置打开cmd</li>
    1449. 

  1449. </ul>
    1450. 

  1450. <div align=center><img src="../img/9-2-8.png" style="zoom:60%" ><img/></div>
    1451. 

  1451. 

  1452. <ul>
    1453. 

  1453. <li>执行指令<code>ollama run &lt;模型名称&gt;</code>，首次执行会从模型库中下载模型，所需时间取决于你的网速和模型大小。模型库地址：<a href="https://ollama.org.cn/library">https://ollama.org.cn/library</a></li>
    1454. 

  1454. </ul>
    1455. 

  1455. <div align=center><img src="../img/9-2-10.png" style="zoom:60%" ><img/></div>
    1456. 

  1456. 

  1457. <ul>
    1458. 

  1458. <li>在Ollama模型库中，比较常用的LLM模型有：</li>
    1459. 

  1459. </ul>
    1460. 

  1460. <div align=center><img src="../img/9-2-9.png" style="zoom:60%" ><img/></div>
    1461. 

  1461. 

  1462. <blockquote>
    1463. 

  1463. <p>运行7B至少需要8GB显存，运行13B至少需要16G显存，如果没有GPU默认加载CPU；如果有默认加载GPU</p>
    1464. 

  1464. </blockquote>
    1465. 

  1465. <ul>
    1466. 

  1466. <li>等待下载模型完成后，就可以使用了：</li>
    1467. 

  1467. </ul>
    1468. 

  1468. <div align=center><img src="../img/9-2-11.png" style="zoom:60%" ><img/></div>
    1469. 

  1469. 

  1470. <h2 id="ollama_1">二、Ollama应用<a class="headerlink" href="#ollama_1" title="Permanent link">&para;</a></h2>
    1471. 

  1471. <h3 id="1-python-ollama-api">1 在 Python 中使用 Ollama API<a class="headerlink" href="#1-python-ollama-api" title="Permanent link">&para;</a></h3>
    1472. 

  1472. <ul>
    1473. 

  1473. <li>环境准备</li>
    1474. 

  1474. <li>在开始使用 Python 与 Ollama API 交互之前，请确保您的开发环境满足以下条件：</li>
    1475. 

  1475. </ul>
    1476. 

  1476. <div class="highlight"><pre><span></span><code><span class="na">安装ollama库</span><span class="o">:</span><span class="w"> </span><span class="s">pip install ollama</span>
    1477. 

  1477. </code></pre></div>
    1478. 

  1478. <ul>
    1479. 

  1479. <li>
    1480. 

  1480. <p>代码实现：</p>
    1481. 

  1481. </li>
    1482. 

  1482. <li>
    1483. 

  1483. <p>方式1</p>
    1484. 

  1484. </li>
    1485. 

  1485. </ul>
    1486. 

  1486. <div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">ollama</span>
    1487. 

  1487. <span class="c1"># 聊天式</span>
    1488. 

  1488. <span class="n">response</span> <span class="o">=</span> <span class="n">ollama</span><span class="o">.</span><span class="n">chat</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s1">&#39;qwen2:1.5b&#39;</span><span class="p">,</span>
    1489. 

  1489.                        <span class="n">messages</span><span class="o">=</span><span class="p">[{</span><span class="s1">&#39;role&#39;</span><span class="p">:</span> <span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;content&#39;</span><span class="p">:</span> <span class="s1">&#39;为什么天空是蓝色的？&#39;</span><span class="p">,</span> <span class="p">}])</span>
    1490. 

  1490. <span class="nb">print</span><span class="p">(</span><span class="n">response</span><span class="p">)</span>
    1491. 

  1491. <span class="nb">print</span><span class="p">(</span><span class="n">response</span><span class="p">[</span><span class="s1">&#39;message&#39;</span><span class="p">][</span><span class="s1">&#39;content&#39;</span><span class="p">])</span>
    1492. 

  1492. <span class="c1"># 生成式</span>
    1493. 

  1493. <span class="c1">## response = ollama.generate(model=&#39;qwen2:1.5b&#39;, prompt=&#39;为什么天空是蓝色的？&#39;)</span>
    1494. 

  1494. </code></pre></div>
    1495. 

  1495. <ul>
    1496. 

  1496. <li>方式2</li>
    1497. 

  1497. </ul>
    1498. 

  1498. <div class="highlight"><pre><span></span><code><span class="c1"># 可以远程调用ollama</span>
    1499. 

  1499. <span class="kn">from</span><span class="w"> </span><span class="nn">ollama</span><span class="w"> </span><span class="kn">import</span> <span class="n">Client</span>
    1500. 

  1500. <span class="c1"># client = Client(host=&#39;http://192.168.1.100:11434&#39;)</span>
    1501. 

  1501. <span class="n">client</span> <span class="o">=</span> <span class="n">Client</span><span class="p">(</span><span class="n">host</span><span class="o">=</span><span class="s1">&#39;http://127.0.0.1:11434&#39;</span><span class="p">)</span>
    1502. 

  1502. 

  1503. <span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="o">.</span><span class="n">chat</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s1">&#39;qwen2:1.5b&#39;</span><span class="p">,</span> <span class="n">messages</span><span class="o">=</span><span class="p">[</span>
    1504. 

  1504.   <span class="p">{</span>
    1505. 

  1505.     <span class="s1">&#39;role&#39;</span><span class="p">:</span> <span class="s1">&#39;user&#39;</span><span class="p">,</span>
    1506. 

  1506.     <span class="s1">&#39;content&#39;</span><span class="p">:</span> <span class="s1">&#39;为什么天空是蓝色的？&#39;</span><span class="p">,</span>
    1507. 

  1507.   <span class="p">},</span>
    1508. 

  1508. <span class="p">])</span>
    1509. 

  1509. <span class="nb">print</span><span class="p">(</span><span class="n">response</span><span class="p">[</span><span class="s1">&#39;message&#39;</span><span class="p">][</span><span class="s1">&#39;content&#39;</span><span class="p">])</span>
    1510. 

  1510. </code></pre></div>
    1511. 

  1511. <ul>
    1512. 

  1512. <li>方式3（了解）<ul>
    1513. 

  1513. <li>可以通过设置 <code>stream=True</code> 启用响应流，使函数调用返回一个 Python 生成器，其中每个部分都是流中的一个对象。</li>
    1514. 

  1514. </ul>
    1515. 

  1515. </li>
    1516. 

  1516. </ul>
    1517. 

  1517. <div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">ollama</span>
    1518. 

  1518. 

  1519. <span class="n">stream</span> <span class="o">=</span> <span class="n">ollama</span><span class="o">.</span><span class="n">chat</span><span class="p">(</span>
    1520. 

  1520.     <span class="n">model</span><span class="o">=</span><span class="s1">&#39;qwen2:1.5b&#39;</span><span class="p">,</span>
    1521. 

  1521.     <span class="n">messages</span><span class="o">=</span><span class="p">[{</span><span class="s1">&#39;role&#39;</span><span class="p">:</span> <span class="s1">&#39;user&#39;</span><span class="p">,</span> <span class="s1">&#39;content&#39;</span><span class="p">:</span> <span class="s1">&#39;为什么天空是蓝色的？&#39;</span><span class="p">}],</span>
    1522. 

  1522.     <span class="n">stream</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
    1523. 

  1523. <span class="p">)</span>
    1524. 

  1524. 

  1525. <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">stream</span><span class="p">:</span>
    1526. 

  1526.   <span class="nb">print</span><span class="p">(</span><span class="n">chunk</span><span class="p">[</span><span class="s1">&#39;message&#39;</span><span class="p">][</span><span class="s1">&#39;content&#39;</span><span class="p">],</span> <span class="n">end</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">flush</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    1527. 

  1527. </code></pre></div>
    1528. 

  1528. <h3 id="2-langchain">2 LangChain调用<a class="headerlink" href="#2-langchain" title="Permanent link">&para;</a></h3>
    1529. 

  1529. <ul>
    1530. 

  1530. <li>
    1531. 

  1531. <p>环境准备
    1532. 

  1532.   <div class="highlight"><pre><span></span><code><span class="na">安装langchain库</span><span class="o">:</span><span class="w"> </span><span class="s">pip install langchain</span>
    1533. 

  1533. <span class="na">安装langchain_community库</span><span class="o">:</span><span class="w"> </span><span class="s">pip install langchain_community</span>
    1534. 

  1534. </code></pre></div></p>
    1535. 

  1535. </li>
    1536. 

  1536. <li>
    1537. 

  1537. <p>代码实现</p>
    1538. 

  1538. </li>
    1539. 

  1539. </ul>
    1540. 

  1540. <div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">langchain_community.llms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Ollama</span>
    1541. 

  1541. <span class="n">host</span><span class="o">=</span><span class="s2">&quot;xxx&quot;</span>
    1542. 

  1542. <span class="n">port</span><span class="o">=</span><span class="s2">&quot;xxx&quot;</span> <span class="c1">#默认的端口号为11434</span>
    1543. 

  1543. <span class="c1"># 如果自己本地系统有ollama服务，可以省略base_url</span>
    1544. 

  1544. <span class="n">llm</span><span class="o">=</span><span class="n">Ollama</span><span class="p">(</span><span class="n">base_url</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;http://</span><span class="si">{</span><span class="n">host</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="n">port</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">model</span><span class="o">=</span><span class="s2">&quot;qwen2:1.5b&quot;</span><span class="p">,</span><span class="n">temperature</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
    1545. 

  1545. <span class="n">res</span><span class="o">=</span><span class="n">llm</span><span class="o">.</span><span class="n">invoke</span><span class="p">(</span><span class="s2">&quot;你是谁&quot;</span><span class="p">)</span>
    1546. 

  1546. <span class="nb">print</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
    1547. 

  1547. </code></pre></div>
    1548. 

  1548. <hr />
    1549. 

  1549. <h3 id="3-requests">3 requests调用<a class="headerlink" href="#3-requests" title="Permanent link">&para;</a></h3>
    1550. 

  1550. <ul>
    1551. 

  1551. <li>
    1552. 

  1552. <p>环境准备
    1553. 

  1553.   <div class="highlight"><pre><span></span><code><span class="na">安装requests库</span><span class="o">:</span><span class="w"> </span><span class="s">pip install requests</span>
    1554. 

  1554. </code></pre></div></p>
    1555. 

  1555. </li>
    1556. 

  1556. <li>
    1557. 

  1557. <p>代码实现</p>
    1558. 

  1558. </li>
    1559. 

  1559. </ul>
    1560. 

  1560. <div class="highlight"><pre><span></span><code><span class="n">host</span><span class="o">=</span><span class="s2">&quot;xxx&quot;</span>
    1561. 

  1561. <span class="n">port</span><span class="o">=</span><span class="s2">&quot;xxx&quot;</span>
    1562. 

  1562. <span class="n">url</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;http://</span><span class="si">{</span><span class="n">host</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="n">port</span><span class="si">}</span><span class="s2">/api/chat&quot;</span>
    1563. 

  1563. <span class="n">model</span> <span class="o">=</span> <span class="s2">&quot;qwen2:1.5b&quot;</span>
    1564. 

  1564. <span class="n">headers</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;Content-Type&quot;</span><span class="p">:</span> <span class="s2">&quot;application/json&quot;</span><span class="p">}</span>
    1565. 

  1565. <span class="n">data</span> <span class="o">=</span> <span class="p">{</span>
    1566. 

  1566.         <span class="s2">&quot;model&quot;</span><span class="p">:</span> <span class="n">model</span><span class="p">,</span> <span class="c1">#模型选择</span>
    1567. 

  1567.         <span class="s2">&quot;options&quot;</span><span class="p">:</span> <span class="p">{</span>
    1568. 

  1568.             <span class="s2">&quot;temperature&quot;</span><span class="p">:</span> <span class="mf">0.</span>  <span class="c1">#为0表示不让模型自由发挥，输出结果相对较固定，&gt;0的话，输出的结果会比较放飞自我</span>
    1569. 

  1569.          <span class="p">},</span>
    1570. 

  1570.         <span class="s2">&quot;stream&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1">#流式输出</span>
    1571. 

  1571.         <span class="s2">&quot;messages&quot;</span><span class="p">:</span> <span class="p">[{</span>
    1572. 

  1572.             <span class="s2">&quot;role&quot;</span><span class="p">:</span> <span class="s2">&quot;system&quot;</span><span class="p">,</span>
    1573. 

  1573.             <span class="s2">&quot;content&quot;</span><span class="p">:</span><span class="s2">&quot;你是谁？&quot;</span>
    1574. 

  1574.         <span class="p">}]</span> <span class="c1">#对话列表</span>
    1575. 

  1575.     <span class="p">}</span>
    1576. 

  1576. <span class="n">response</span><span class="o">=</span><span class="n">requests</span><span class="o">.</span><span class="n">post</span><span class="p">(</span><span class="n">url</span><span class="p">,</span><span class="n">json</span><span class="o">=</span><span class="n">data</span><span class="p">,</span><span class="n">headers</span><span class="o">=</span><span class="n">headers</span><span class="p">,</span><span class="n">timeout</span><span class="o">=</span><span class="mi">60</span><span class="p">)</span>
    1577. 

  1577. <span class="n">res</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
    1578. 

  1578. <span class="nb">print</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
    1579. 

  1579. </code></pre></div>
    1580. 

  1580. <h2 id="_2">本节小结<a class="headerlink" href="#_2" title="Permanent link">&para;</a></h2>
    1581. 

  1581. <p>本章节主要介绍了利用Ollama工具实现本地大模型的基本应用。</p>
    1582. 

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