{"id":30873,"date":"2025-05-05T19:57:33","date_gmt":"2025-05-05T11:57:33","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30873"},"modified":"2025-05-05T19:57:33","modified_gmt":"2025-05-05T11:57:33","slug":"local-deep-research","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/local-deep-research\/","title":{"rendered":"Local Deep Research\uff1a\u672c\u5730\u8fd0\u884c\u7684\u751f\u6210\u6df1\u5ea6\u7814\u7a76\u62a5\u544a\u5de5\u5177"},"content":{"rendered":"<p>Local Deep Research \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u52a9\u624b\uff0c\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u9488\u5bf9\u590d\u6742\u95ee\u9898\u8fdb\u884c\u6df1\u5ea6\u7814\u7a76\u5e76\u751f\u6210\u8be6\u7ec6\u7684\u62a5\u544a\u3002\u5b83\u652f\u6301\u672c\u5730\u8fd0\u884c\uff0c\u4f7f\u7528\u6237\u53ef\u4ee5\u5728\u4e0d\u4f9d\u8d56\u4e91\u670d\u52a1\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u7814\u7a76\u4efb\u52a1\u3002\u5de5\u5177\u7ed3\u5408\u4e86\u672c\u5730\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4e0e\u591a\u79cd\u641c\u7d22\u529f\u80fd\uff0c\u8986\u76d6\u5b66\u672f\u6570\u636e\u5e93\u3001\u7ef4\u57fa\u767e\u79d1\u3001\u7f51\u9875\u5185\u5bb9\u7b49\u6765\u6e90\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u5b89\u88c5\u548c\u914d\u7f6e\uff0c\u5feb\u901f\u751f\u6210\u5305\u542b\u5f15\u6587\u7684\u7efc\u5408\u62a5\u544a\u3002\u9879\u76ee\u5f3a\u8c03\u9690\u79c1\u4fdd\u62a4\u548c\u7075\u6d3b\u6027\uff0c\u9002\u5408\u5b66\u672f\u7814\u7a76\u3001\u6280\u672f\u63a2\u7d22\u6216\u4e2a\u4eba\u77e5\u8bc6\u7ba1\u7406\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30874\" title=\"Local Deep Research\uff1a\u672c\u5730\u8fd0\u884c\u7684\u751f\u6210\u6df1\u5ea6\u7814\u7a76\u62a5\u544a\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/188b0633c1570aa.jpg\" alt=\"Local Deep Research\uff1a\u672c\u5730\u8fd0\u884c\u7684\u751f\u6210\u6df1\u5ea6\u7814\u7a76\u62a5\u544a\u5de5\u5177-1\" width=\"480\" height=\"360\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/188b0633c1570aa.jpg 480w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/188b0633c1570aa-16x12.jpg 16w\" sizes=\"auto, (max-width: 480px) 100vw, 480px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u672c\u5730\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4fdd\u62a4\u6570\u636e\u9690\u79c1\u3002<\/li>\n<li>\u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u641c\u7d22\u5de5\u5177\uff0c\u5982\u7ef4\u57fa\u767e\u79d1\u3001arXiv\u3001PubMed \u7b49\u3002<\/li>\n<li>\u751f\u6210\u8be6\u7ec6\u7684\u62a5\u544a\uff0c\u5305\u542b\u7ed3\u6784\u5316\u7ae0\u8282\u548c\u5f15\u6587\u3002<\/li>\n<li>\u63d0\u4f9b\u5feb\u901f\u6458\u8981\u529f\u80fd\uff0c\u6570\u79d2\u5185\u751f\u6210\u7b80\u8981\u7b54\u6848\u3002<\/li>\n<li>\u652f\u6301\u672c\u5730\u6587\u6863\u68c0\u7d22\uff0c\u7ed3\u5408\u7f51\u9875\u641c\u7d22\u8fdb\u884c\u7efc\u5408\u5206\u6790\u3002<\/li>\n<li>\u63d0\u4f9b\u7f51\u9875\u754c\u9762\u548c\u547d\u4ee4\u884c\u754c\u9762\uff0c\u64cd\u4f5c\u7075\u6d3b\u3002<\/li>\n<li>\u652f\u6301\u591a\u8bed\u8a00\u641c\u7d22\uff0c\u9002\u5408\u5168\u7403\u7528\u6237\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>Local Deep Research \u9700\u8981\u5b89\u88c5 Python \u73af\u5883\u548c\u76f8\u5173\u4f9d\u8d56\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5c06\u9879\u76ee\u514b\u9686\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/LearningCircuit\/local-deep-research.git\r\ncd local-deep-research<\/code><\/pre>\n<\/li>\n<\/ol>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u4f7f\u7528 Python \u7684\u5305\u7ba1\u7406\u5de5\u5177\u5b89\u88c5\u6240\u9700\u5e93\uff1a<\/p>\n<pre><code>pip install -e .\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u6d4f\u89c8\u5668\u81ea\u52a8\u5316\u529f\u80fd\uff0c\u5b89\u88c5 Playwright\uff1a<\/p>\n<pre><code>playwright install\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u672c\u5730\u6a21\u578b\uff08Ollama\uff09<\/strong><br \/>\nLocal Deep Research \u652f\u6301\u901a\u8fc7 <a href=\"https:\/\/www.kdjingpai.com\/ja\/ollama\/\">Ollama<\/a> \u8fd0\u884c\u672c\u5730\u5927\u8bed\u8a00\u6a21\u578b\u3002\u8bbf\u95ee\u00a0https:\/\/ollama.ai\u00a0\u4e0b\u8f7d\u5e76\u5b89\u88c5 Ollama\uff0c\u7136\u540e\u62c9\u53d6\u63a8\u8350\u6a21\u578b\uff1a<\/p>\n<pre><code>ollama pull <a href=\"https:\/\/www.kdjingpai.com\/ja\/gemma-3-jishubaogao\/\">gemma3<\/a>:12b\r\n<\/code><\/pre>\n<p>\u786e\u4fdd Ollama \u670d\u52a1\u5728\u540e\u53f0\u8fd0\u884c\u3002<\/li>\n<li><strong>\u914d\u7f6e SearXNG\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u4e3a\u83b7\u5f97\u6700\u4f73\u641c\u7d22\u6548\u679c\uff0c\u5efa\u8bae\u81ea\u6258\u7ba1 SearXNG \u641c\u7d22\u670d\u52a1\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8 SearXNG\uff1a<\/p>\n<pre><code>docker pull searxng\/searxng\r\ndocker run -d -p 8080:8080 --name searxng searxng\/searxng\r\n<\/code><\/pre>\n<p>\u5728\u9879\u76ee\u6839\u76ee\u5f55\u7684\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u4e2d\u914d\u7f6e SearXNG \u5730\u5740\uff1a<\/p>\n<pre><code>SEARXNG_INSTANCE=http:\/\/localhost:8080\r\nSEARXNG_DELAY=2.0\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u542f\u52a8\u5de5\u5177<\/strong>\n<ul>\n<li><strong>\u7f51\u9875\u754c\u9762<\/strong>\uff1a\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8\u7f51\u9875\u7248\uff0c\u8bbf\u95ee\u00a0http:\/\/127.0.0.1:5000\uff1a\n<pre><code>ldr-web\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u547d\u4ee4\u884c\u754c\u9762<\/strong>\uff1a\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8\u547d\u4ee4\u884c\u7248\uff1a\n<pre><code>ldr\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u64cd\u4f5c\u4e3b\u8981\u529f\u80fd<\/h3>\n<h4>1. \u751f\u6210\u5feb\u901f\u6458\u8981<\/h4>\n<p>\u5feb\u901f\u6458\u8981\u529f\u80fd\u9002\u5408\u9700\u8981\u5feb\u901f\u7b54\u6848\u7684\u7528\u6237\u3002\u6253\u5f00\u7f51\u9875\u754c\u9762\uff0c\u8f93\u5165\u7814\u7a76\u95ee\u9898\uff0c\u4f8b\u5982\u201c\u6838\u805a\u53d8\u80fd\u6e90\u7684\u6700\u65b0\u8fdb\u5c55\u201d\u3002\u70b9\u51fb\u201c\u5feb\u901f\u6458\u8981\u201d\u6309\u94ae\uff0c\u5de5\u5177\u4f1a\u5728\u51e0\u79d2\u5185\u8fd4\u56de\u7b80\u8981\u7b54\u6848\uff0c\u5305\u542b\u5173\u952e\u4fe1\u606f\u548c\u6765\u6e90\u3002\u5982\u679c\u4f7f\u7528\u547d\u4ee4\u884c\uff0c\u8fd0\u884c\uff1a<\/p>\n<pre><code>from local_deep_research import quick_summary\r\nresults = quick_summary(query=\"\u6838\u805a\u53d8\u80fd\u6e90\u7684\u6700\u65b0\u8fdb\u5c55\", search_tool=\"auto\", iterations=1, questions_per_iteration=2, max_results=30)\r\nprint(results[\"summary\"])\r\n<\/code><\/pre>\n<p>\u7ed3\u679c\u4f1a\u4ee5\u6587\u672c\u5f62\u5f0f\u8f93\u51fa\uff0c\u5305\u542b\u7b80\u77ed\u7684\u603b\u7ed3\u548c\u53c2\u8003\u94fe\u63a5\u3002<\/p>\n<h4>2. \u751f\u6210\u8be6\u7ec6\u62a5\u544a<\/h4>\n<p>\u8be6\u7ec6\u62a5\u544a\u529f\u80fd\u9002\u5408\u9700\u8981\u5168\u9762\u5206\u6790\u7684\u7528\u6237\u3002\u5728\u7f51\u9875\u754c\u9762\u8f93\u5165\u95ee\u9898\u540e\uff0c\u9009\u62e9\u201c\u751f\u6210\u62a5\u544a\u201d\u9009\u9879\u3002\u5de5\u5177\u4f1a\u8fdb\u884c\u591a\u8f6e\u641c\u7d22\u548c\u5206\u6790\uff0c\u751f\u6210\u5305\u542b\u76ee\u5f55\u3001\u7ae0\u8282\u548c\u5f15\u6587\u7684 Markdown \u683c\u5f0f\u62a5\u544a\u3002\u62a5\u544a\u751f\u6210\u65f6\u95f4\u53d6\u51b3\u4e8e\u95ee\u9898\u7684\u590d\u6742\u5ea6\u548c\u641c\u7d22\u8f6e\u6b21\uff08\u9ed8\u8ba4 2 \u8f6e\uff09\u3002\u547d\u4ee4\u884c\u64cd\u4f5c\u793a\u4f8b\uff1a<\/p>\n<pre><code>from local_deep_research import generate_report\r\nreport = generate_report(query=\"\u6838\u805a\u53d8\u80fd\u6e90\u7684\u6700\u65b0\u8fdb\u5c55\", search_tool=\"auto\", iterations=2)\r\nprint(report)\r\n<\/code><\/pre>\n<p>\u751f\u6210\u7684\u62a5\u544a\u4f1a\u4fdd\u5b58\u5728\u672c\u5730\uff0c\u8def\u5f84\u901a\u5e38\u4e3a\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u7684\u00a0<code>examples<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/p>\n<h4>3. \u672c\u5730\u6587\u6863\u68c0\u7d22<\/h4>\n<p>\u7528\u6237\u53ef\u4ee5\u5c06\u79c1\u4eba\u6587\u6863\uff08\u5982 PDF\u3001TXT\uff09\u4e0a\u4f20\u81f3\u6307\u5b9a\u6587\u4ef6\u5939\uff0c\u901a\u8fc7\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u529f\u80fd\u5206\u6790\u3002\u914d\u7f6e\u6587\u6863\u8def\u5f84\uff1a<\/p>\n<pre><code>DOC_PATH=\/path\/to\/your\/documents\r\n<\/code><\/pre>\n<p>\u5728\u7f51\u9875\u754c\u9762\u9009\u62e9\u201c\u672c\u5730\u6587\u6863\u201d\u4f5c\u4e3a\u62a5\u544a\u6765\u6e90\uff0c\u5de5\u5177\u4f1a\u7ed3\u5408\u672c\u5730\u6587\u6863\u548c\u7f51\u9875\u641c\u7d22\u751f\u6210\u62a5\u544a\u3002\u547d\u4ee4\u884c\u64cd\u4f5c\uff1a<\/p>\n<pre><code>results = quick_summary(query=\"\u5206\u6790\u6211\u7684\u6587\u6863\u4e2d\u7684AI\u8d8b\u52bf\", report_source=\"local\")\r\n<\/code><\/pre>\n<h4>4. \u591a\u8bed\u8a00\u641c\u7d22<\/h4>\n<p>\u5de5\u5177\u652f\u6301\u591a\u8bed\u8a00\u641c\u7d22\uff0c\u9002\u5408\u975e\u82f1\u8bed\u95ee\u9898\u3002\u5728\u7f51\u9875\u754c\u9762\u8f93\u5165\u4e2d\u6587\u6216\u5176\u4ed6\u8bed\u8a00\u7684\u95ee\u9898\uff0c\u5de5\u5177\u4f1a\u81ea\u52a8\u9002\u914d\u641c\u7d22\u5de5\u5177\uff0c\u8fd4\u56de\u76f8\u5173\u7ed3\u679c\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u201c\u91cf\u5b50\u8ba1\u7b97\u7684\u6700\u65b0\u7a81\u7834\u201d\uff0c\u5de5\u5177\u4f1a\u641c\u7d22\u4e2d\u6587\u548c\u82f1\u6587\u6765\u6e90\u3002<\/p>\n<h3>\u914d\u7f6e\u53c2\u6570<\/h3>\n<p>\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u4fee\u6539\u00a0<code>config.py<\/code>\u00a0\u6216\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u8c03\u6574\u53c2\u6570\uff1a<\/p>\n<ul>\n<li><code>search_tool<\/code>\uff1a\u9009\u62e9\u641c\u7d22\u5de5\u5177\uff08\u9ed8\u8ba4\u00a0<code>auto<\/code>\uff09\u3002<\/li>\n<li><code>iterations<\/code>\uff1a\u8bbe\u7f6e\u7814\u7a76\u8f6e\u6b21\uff08\u9ed8\u8ba4 2\uff09\u3002<\/li>\n<li><code>max_results<\/code>\uff1a\u6bcf\u8f6e\u641c\u7d22\u7684\u6700\u5927\u7ed3\u679c\u6570\uff08\u9ed8\u8ba4 50\uff09\u3002<\/li>\n<li><code>max_filtered_results<\/code>\uff1a\u8fc7\u6ee4\u540e\u7684\u7ed3\u679c\u6570\uff08\u9ed8\u8ba4 5\uff09\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u7f51\u7edc\u8fde\u63a5\u7a33\u5b9a\uff0c\u4ee5\u4fbf\u641c\u7d22\u5916\u90e8\u8d44\u6e90\u3002<\/li>\n<li>\u672c\u5730\u6a21\u578b\u6027\u80fd\u53d6\u51b3\u4e8e\u786c\u4ef6\uff0c\u63a8\u8350\u4f7f\u7528 GPU \u52a0\u901f\u3002<\/li>\n<li>\u5b9a\u671f\u66f4\u65b0 Ollama \u548c\u9879\u76ee\u4ee3\u7801\uff0c\u4ee5\u83b7\u53d6\u6700\u65b0\u529f\u80fd\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u5b66\u751f\u548c\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u4f7f\u7528 Local Deep Research \u5feb\u901f\u6536\u96c6\u5b66\u672f\u8bba\u6587\u548c\u7f51\u9875\u4fe1\u606f\uff0c\u751f\u6210\u5e26\u5f15\u6587\u7684\u62a5\u544a\u3002\u4f8b\u5982\uff0c\u7814\u7a76\u201c\u91cf\u5b50\u8ba1\u7b97\u7684\u7a81\u7834\u201d\u65f6\uff0c\u5de5\u5177\u4f1a\u4ece arXiv \u548c PubMed \u68c0\u7d22\u6700\u65b0\u8bba\u6587\uff0c\u751f\u6210\u7ed3\u6784\u5316\u62a5\u544a\u3002<\/li>\n<li><strong>\u6280\u672f\u63a2\u7d22<\/strong><br \/>\n\u6280\u672f\u7231\u597d\u8005\u53ef\u4ee5\u63a2\u7d22\u65b0\u5174\u6280\u672f\u8d8b\u52bf\uff0c\u5982\u201c\u533a\u5757\u94fe\u5728\u4f9b\u5e94\u94fe\u4e2d\u7684\u5e94\u7528\u201d\u3002\u5de5\u5177\u7ed3\u5408\u672c\u5730\u6587\u6863\u548c\u7f51\u9875\u641c\u7d22\uff0c\u63d0\u4f9b\u5168\u9762\u5206\u6790\u3002<\/li>\n<li><strong>\u4e2a\u4eba\u77e5\u8bc6\u7ba1\u7406<\/strong><br \/>\n\u7528\u6237\u53ef\u4ee5\u5c06\u79c1\u4eba\u7b14\u8bb0\u6216\u6587\u6863\u4e0a\u4f20\uff0c\u7ed3\u5408\u5916\u90e8\u4fe1\u606f\u6574\u7406\u77e5\u8bc6\u5e93\u3002\u4f8b\u5982\uff0c\u6574\u7406\u201c2025\u5e74AI\u53d1\u5c55\u9884\u6d4b\u201d\u7684\u4e2a\u4eba\u62a5\u544a\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Local Deep Research \u662f\u5426\u9700\u8981\u8054\u7f51\uff1f<\/strong><br \/>\n\u672c\u5730\u6a21\u578b\u8fd0\u884c\u4e0d\u9700\u8981\u8054\u7f51\uff0c\u4f46\u641c\u7d22\u529f\u80fd\uff08\u5982\u7ef4\u57fa\u767e\u79d1\u3001arXiv\uff09\u9700\u8981\u7f51\u7edc\u8fde\u63a5\u3002\u7528\u6237\u53ef\u9009\u62e9\u4ec5\u4f7f\u7528\u672c\u5730\u6587\u6863\u3002<\/li>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u5927\u8bed\u8a00\u6a21\u578b\uff1f<\/strong><br \/>\n\u9ed8\u8ba4\u652f\u6301 Ollama \u6258\u7ba1\u7684\u6a21\u578b\uff0c\u5982\u00a0<code>gemma3:12b<\/code>\u3002\u7528\u6237\u53ef\u901a\u8fc7\u00a0<code>config.py<\/code>\u00a0\u914d\u7f6e\u5176\u4ed6\u6a21\u578b\uff0c\u5982 <a href=\"https:\/\/www.kdjingpai.com\/ja\/vllm\/\">vLLM<\/a> \u6216 LMStudio\u3002<\/li>\n<li><strong>\u5982\u4f55\u63d0\u9ad8\u62a5\u544a\u8d28\u91cf\uff1f<\/strong><br \/>\n\u589e\u52a0\u641c\u7d22\u8f6e\u6b21\uff08<code>iterations<\/code>\uff09\u548c\u7ed3\u679c\u6570\u91cf\uff08<code>max_results<\/code>\uff09\uff0c\u6216\u4f7f\u7528\u66f4\u5f3a\u5927\u7684\u6a21\u578b\u3002\u786e\u4fdd\u95ee\u9898\u63cf\u8ff0\u6e05\u6670\u4e5f\u6709\u52a9\u4e8e\u63d0\u9ad8\u51c6\u786e\u6027\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301 Windows \u7cfb\u7edf\uff1f<\/strong><br \/>\n\u662f\u7684\uff0c\u9879\u76ee\u63d0\u4f9b Windows \u4e00\u952e\u5b89\u88c5\u5305\uff0c\u7b80\u5316\u914d\u7f6e\u6d41\u7a0b\u3002\u8bbf\u95ee GitHub 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