<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>production | 热门资源汇总</title><description/><link>http://shenzjd.com</link><item><title>#production #Python #FastAPI #OpenSearch #TGAgent该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手</title><link>http://shenzjd.com/posts/5275</link><guid isPermaLink="true">http://shenzjd.com/posts/5275</guid><pubDate>Wed, 03 Jun 2026 06:05:50 GMT</pubDate><content:encoded>&lt;div class=&quot;image-list-container image-list-odd&quot;&gt;
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        &lt;img src=&quot;/static/https://cdn5.telesco.pe/file/CZrCMoRqDTCSwh07Y_DziKyeSBsfrxW4gZaHlj-Dhtpw077XrOUx-fSFkzxa0rjcxKyuVmuxiSiS4sKYzRinoX6ymUNMQFvn2NPVVLlig8XmoUE7pJSNF0eWJ2ytzp2cPkDO-VOOWuLC5E1P4MeAUmMU3nLqxMUHb92e-hNceImbt6dI6Gm_AdnTL1Irep4h_vdYEupISedkaLLKVnDN2iK8wWJ0IW42jSlQSha9nISL9aioc5S4ASPmyP1aQS7HDTv_HwQlXAftjTVOXWnk1b4LnoB6cyK1G5Xmj7Nke_i9Ce66hQbtZj5x8mjZU8hqx3cqHVWIOBy3ycEfqVKFgQ.jpg&quot; alt=&quot;#production #Python #FastAPI #OpenSearch #TGAgent该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手&quot; width=&quot;453&quot; height=&quot;397&quot; loading=&quot;eager&quot; /&gt;
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        &lt;img src=&quot;/static/https://cdn5.telesco.pe/file/Tt4PTwOKxBzkonPOIe2UsZ8I9541zYf_lH4t1dbaA7_dLfQu86PTfAFSlbk1eGBG_MIjwvVqUMDw9pfeVBWq_xEBcBNvhnYw6h9BInXNkCa-7rwnLvL_cblr7uIGrWx8X3Qoil_3PN9CuzIZYFv2RMKJ16Oa4qmyHsCMIBsyN5SlDWAJDa9VTWoazAN7poFlNX1w-hTUqRQUVUCVK8_HcR5pwF47xmBXrFveA0Or7JY7ojEdIpIUtuHOwic7AeJDqsZze7K8Je5Vk2s85L2TfqcmL4XqEC0Ng1Z6DAXOpYD9wa7ZqiWeZq7K8zXyHEE2sbwZO_VIUmuTpUW3K3IZJQ.jpg&quot; alt=&quot;#production #Python #FastAPI #OpenSearch #TGAgent该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手&quot; width=&quot;225&quot; height=&quot;177&quot; loading=&quot;eager&quot; /&gt;
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      &lt;button type=&quot;button&quot; class=&quot;image-preview-button image-preview-wrap&quot; popovertarget=&quot;modal-5275-2&quot; popovertargetaction=&quot;show&quot; aria-label=&quot;Open image preview: #production #Python #FastAPI #OpenSearch #TGAgent该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手&quot;&gt;
        &lt;img src=&quot;/static/https://cdn5.telesco.pe/file/rtc1a8wNMjZ4FbbBIlie2-F_4hMXXavXGfBZjK_YjXpK5g3Q6j9ZrdzxrkNtpktVMlbIaF5y-ARPpkOSpqPNIYrFY5vmH4fooASI-f94Bz96WGLSymjhXCrrIa6qi3cTHmTywMifsWKGyGQ3Yb5cIp0s6J7rrNYnxtzJlNf3L_xSb5tvSA31Fu72LJ2fz8Un77_htAUHHtmNLn5cN5I6WbJmrUyUTeLUZrnpKncq0lmfTPR-GzBfseeZUdjW_jZpsbOD3NLF2LsAb7ZY6jEgInna4DXB2_kb2yfjkngsLwAkwKjPGyV5_hAvFgs5q7Fj9nFoXrN9wAzk0JteGQR5UA.jpg&quot; alt=&quot;#production #Python #FastAPI #OpenSearch #TGAgent该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手&quot; width=&quot;226&quot; height=&quot;177&quot; loading=&quot;eager&quot; /&gt;
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    &lt;/div&gt;&lt;div class=&quot;tgme_widget_message_text js-message_text&quot;&gt;&lt;a href=&quot;/search/result?q=%23production&quot; title=&quot;#production&quot;&gt;#production&lt;/a&gt; &lt;a href=&quot;/search/result?q=%23Python&quot; title=&quot;#Python&quot;&gt;#Python&lt;/a&gt; &lt;a href=&quot;/search/result?q=%23FastAPI&quot; title=&quot;#FastAPI&quot;&gt;#FastAPI&lt;/a&gt; &lt;a href=&quot;/search/result?q=%23OpenSearch&quot; title=&quot;#OpenSearch&quot;&gt;#OpenSearch&lt;/a&gt; &lt;a href=&quot;/search/result?q=%23TGAgent&quot; title=&quot;#TGAgent&quot;&gt;#TGAgent&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;该项目是一个面向学习者的 RAG 系统实战项目，指导开发者从零构建一个能自动获取、理解并回答 arXiv 学术论文问题的研究助手。项目基于 Python、FastAPI、OpenSearch 和 Docker 构建，重点教授先掌握关键词搜索基础、再结合向量检索的企业级混合检索最佳实践。通过按周递进的架构设计，帮助开发者深入掌握生产级 RAG 系统的核心工程能力。&lt;br /&gt;&lt;br /&gt;&lt;a href=&quot;https://github.com/jamwithai/production-agentic-rag-course&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot; title=&quot;https://github.com/jamwithai/production-agentic-rag-course&quot;&gt;https://github.com/jamwithai/production-agentic-rag-course&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;i class=&quot;emoji&quot;&gt;&lt;b&gt;📡&lt;/b&gt;&lt;/i&gt; 来源：&lt;a href=&quot;https://t.me/shenzjd_com&quot; target=&quot;_blank&quot; title=&quot;@shenzjd_com&quot;&gt;@shenzjd_com&lt;/a&gt;&lt;/div&gt;</content:encoded></item></channel></rss>