{"id":34448,"date":"2025-07-31T10:14:40","date_gmt":"2025-07-31T02:14:40","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34448"},"modified":"2025-07-31T10:14:40","modified_gmt":"2025-07-31T02:14:40","slug":"langextract","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/langextract\/","title":{"rendered":"LangExtract\uff1a\u4ece\u6587\u672c\u63d0\u53d6\u7ed3\u6784\u5316\u6570\u636e\u7684\u5f00\u6e90\u5de5\u5177"},"content":{"rendered":"<p>LangExtract \u662f Google \u5f00\u53d1\u7684\u4e00\u6b3e\u5f00\u6e90 Python \u5e93\uff0c\u4e13\u6ce8\u4e8e\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u6570\u636e\u3002\u5b83\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5982 Google <a href=\"https:\/\/www.kdjingpai.com\/geminibardgubu\/\">Gemini<\/a> \u7cfb\u5217\uff0c\u7ed3\u5408\u7cbe\u786e\u7684\u6e90\u6587\u672c\u5b9a\u4f4d\u548c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u529f\u80fd\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u5c06\u590d\u6742\u6587\u672c\u8f6c\u5316\u4e3a\u6e05\u6670\u7684\u6570\u636e\u683c\u5f0f\u3002\u7528\u6237\u53ea\u9700\u63d0\u4f9b\u5c11\u91cf\u793a\u4f8b\uff0c\u5c31\u80fd\u5b9a\u4e49\u9002\u7528\u4e8e\u4efb\u4f55\u9886\u57df\u7684\u63d0\u53d6\u4efb\u52a1\uff0c\u65e0\u9700\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002LangExtract \u7279\u522b\u9002\u5408\u5904\u7406\u957f\u6587\u6863\uff0c\u652f\u6301\u5e76\u884c\u5904\u7406\u548c\u591a\u8f6e\u63d0\u53d6\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u533b\u7597\u3001\u6587\u5b66\u5206\u6790\u7b49\u9886\u57df\u3002\u8be5\u5de5\u5177\u4ee5 Apache 2.0 \u8bb8\u53ef\u8bc1\u53d1\u5e03\uff0c\u4ee3\u7801\u6258\u7ba1\u4e8e GitHub\uff0c\u5f00\u653e\u793e\u533a\u8d21\u732e\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/a9413848d7fca94.png\" alt=\"\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u591a\u79cd\u8bed\u8a00\u6a21\u578b\uff1a\u517c\u5bb9 Google Gemini \u7b49\u4e91\u7aef\u6a21\u578b\u53ca <a href=\"https:\/\/www.kdjingpai.com\/ollama\/\">Ollama<\/a> \u672c\u5730\u6a21\u578b\uff0c\u7075\u6d3b\u9002\u914d\u7528\u6237\u9700\u6c42\u3002<\/li>\n<li>\u7ed3\u6784\u5316\u4fe1\u606f\u63d0\u53d6\uff1a\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u63d0\u53d6\u5b9e\u4f53\u3001\u5173\u7cfb\u548c\u5c5e\u6027\uff0c\u5e76\u751f\u6210 JSONL \u683c\u5f0f\u8f93\u51fa\u3002<\/li>\n<li>\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\uff1a\u4ece\u63d0\u53d6\u7ed3\u679c\u751f\u6210 HTML \u53ef\u89c6\u5316\u6587\u4ef6\uff0c\u65b9\u4fbf\u7528\u6237\u67e5\u770b\u548c\u5206\u6790\u63d0\u53d6\u7684\u5b9e\u4f53\u3002<\/li>\n<li>\u957f\u6587\u6863\u5904\u7406\uff1a\u901a\u8fc7\u667a\u80fd\u5206\u5757\u548c\u5e76\u884c\u5904\u7406\uff0c\u9ad8\u6548\u5904\u7406\u8d85\u957f\u6587\u672c\uff0c\u5982\u6574\u672c\u5c0f\u8bf4\u6216\u533b\u7597\u62a5\u544a\u3002<\/li>\n<li>\u81ea\u5b9a\u4e49\u63d0\u53d6\u4efb\u52a1\uff1a\u901a\u8fc7\u63d0\u793a\u8bcd\u548c\u5c11\u91cf\u793a\u4f8b\uff0c\u5feb\u901f\u5b9a\u4e49\u9002\u7528\u4e8e\u7279\u5b9a\u9886\u57df\u7684\u63d0\u53d6\u89c4\u5219\u3002<\/li>\n<li>\u533b\u7597\u6587\u672c\u5904\u7406\uff1a\u652f\u6301\u4ece\u4e34\u5e8a\u7b14\u8bb0\u4e2d\u63d0\u53d6\u836f\u7269\u540d\u79f0\u3001\u5242\u91cf\u7b49\u4fe1\u606f\uff0c\u9002\u7528\u4e8e\u533b\u7597\u9886\u57df\u3002<\/li>\n<li>API \u96c6\u6210\uff1a\u652f\u6301\u4e91\u7aef\u6a21\u578b API \u8c03\u7528\uff0c\u4e5f\u53ef\u6269\u5c55\u5230\u7b2c\u4e09\u65b9\u672c\u5730\u6a21\u578b\u63a8\u7406\u7aef\u70b9\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>LangExtract \u4f7f\u7528 Python \u5f00\u53d1\uff0c\u652f\u6301\u73b0\u4ee3 Python \u5305\u7ba1\u7406\u65b9\u5f0f\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ee3\u7801\u4ed3\u5e93<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686 LangExtract \u4ed3\u5e93\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/google\/langextract.git\r\ncd langextract\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u4f7f\u7528 pip \u5b89\u88c5 LangExtract\u3002\u63a8\u8350\u4f7f\u7528\u5f00\u53d1\u6a21\u5f0f\u4ee5\u4fbf\u4fee\u6539\u4ee3\u7801\uff1a<\/p>\n<pre><code>pip install -e .\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u5f00\u53d1\u6216\u6d4b\u8bd5\u73af\u5883\uff0c\u5b89\u88c5\u989d\u5916\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -e \".[dev]\"  # \u5305\u542b linting \u5de5\u5177\r\npip install -e \".[test]\" # \u5305\u542b pytest \u6d4b\u8bd5\u5de5\u5177\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u914d\u7f6e API \u5bc6\u94a5<\/strong>\uff08\u5982\u4f7f\u7528\u4e91\u7aef\u6a21\u578b\uff09<br \/>\n\u5982\u679c\u4f7f\u7528 Google Gemini \u7b49\u4e91\u7aef\u6a21\u578b\uff0c\u9700\u8981\u914d\u7f6e API \u5bc6\u94a5\u3002\u5c06\u5bc6\u94a5\u5199\u5165\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\uff1a<\/p>\n<pre><code>cat &gt;&gt; .env &lt;&lt; 'EOF'\r\nLANGEXTRACT_API_KEY=your-api-key-here\r\nEOF\r\n<\/code><\/pre>\n<p>\u4e3a\u4fdd\u62a4\u5bc6\u94a5\uff0c\u6dfb\u52a0\u00a0<code>.env<\/code>\u00a0\u5230\u00a0<code>.gitignore<\/code>\uff1a<\/p>\n<pre><code>echo '.env' &gt;&gt; .gitignore\r\n<\/code><\/pre>\n<p>\u672c\u5730\u6a21\u578b\uff08\u5982\u901a\u8fc7 Ollama \u8fd0\u884c\uff09\u65e0\u9700 API \u5bc6\u94a5\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<pre><code>python -c \"import langextract; print(langextract.__version__)\"\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>LangExtract \u7684\u6838\u5fc3\u529f\u80fd\u662f\u901a\u8fc7\u63d0\u793a\u8bcd\u548c\u793a\u4f8b\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u57fa\u672c\u4fe1\u606f\u63d0\u53d6<\/h4>\n<p>\u5047\u8bbe\u4f60\u8981\u4ece\u4e00\u6bb5\u6587\u672c\u4e2d\u63d0\u53d6\u4eba\u7269\u3001\u60c5\u611f\u548c\u5173\u7cfb\uff0c\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<pre><code>import langextract as lx\r\nimport textwrap\r\n# \u5b9a\u4e49\u63d0\u793a\u8bcd\r\nprompt = textwrap.dedent(\"\"\"\r\nExtract characters, emotions, and relationships in order of appearance. Use exact text for extractions. Do not paraphrase or overlap entities.\r\n\"\"\")\r\n# \u63d0\u4f9b\u793a\u4f8b\r\nexamples = [\r\nlx.data.ExampleData(\r\ntext=\"ROMEO. But soft! What light through yonder window breaks?\",\r\nextractions=[\r\n{\"entity\": \"Romeo\", \"type\": \"<a href=\"https:\/\/www.kdjingpai.com\/character-ai\/\">character<\/a>\", \"emotion\": \"hopeful\"},\r\n]\r\n)\r\n]\r\n# \u8f93\u5165\u6587\u672c\r\ntext = \"ROMEO. But soft! What light through yonder window breaks? It is Juliet.\"\r\n# \u6267\u884c\u63d0\u53d6\r\nresult = lx.extract(text, prompt=prompt, examples=examples, model=\"gemini-2.5-flash\")\r\n# \u4fdd\u5b58\u7ed3\u679c\r\nlx.io.save_annotated_documents([result], output_name=\"extraction_results.jsonl\")\r\n<\/code><\/pre>\n<p>\u8fd0\u884c\u540e\uff0c\u63d0\u53d6\u7ed3\u679c\u5c06\u4fdd\u5b58\u4e3a\u00a0<code>extraction_results.jsonl<\/code>\u00a0\u6587\u4ef6\uff0c\u5305\u542b\u63d0\u53d6\u7684\u5b9e\u4f53\u53ca\u5176\u5c5e\u6027\u3002<\/p>\n<h4>2. \u751f\u6210\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316<\/h4>\n<p>LangExtract \u652f\u6301\u5c06\u63d0\u53d6\u7ed3\u679c\u751f\u6210 HTML \u53ef\u89c6\u5316\u6587\u4ef6\uff0c\u65b9\u4fbf\u67e5\u770b\uff1a<\/p>\n<pre><code>html_content = lx.visualize(\"extraction_results.jsonl\")\r\nwith open(\"visualization.html\", \"w\") as f:\r\nf.write(html_content)\r\n<\/code><\/pre>\n<p>\u751f\u6210\u7684\u00a0<code>visualization.html<\/code>\u00a0\u6587\u4ef6\u53ef\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\uff0c\u5c55\u793a\u63d0\u53d6\u7684\u5b9e\u4f53\u53ca\u5176\u4e0a\u4e0b\u6587\u3002<\/p>\n<h4>3. \u5904\u7406\u957f\u6587\u6863<\/h4>\n<p>\u5bf9\u4e8e\u957f\u6587\u6863\uff08\u5982\u6574\u672c\u300a\u7f57\u5bc6\u6b27\u4e0e\u6731\u4e3d\u53f6\u300b\uff09\uff0cLangExtract \u4f7f\u7528\u667a\u80fd\u5206\u5757\u548c\u5e76\u884c\u5904\u7406\uff1a<\/p>\n<pre><code>url = \"https:\/\/www.gutenberg.org\/files\/1513\/1513.txt\"\r\nresult = lx.extract_from_url(url, prompt=prompt, examples=examples, max_workers=4)\r\nlx.io.save_annotated_documents([result], output_name=\"long_doc_results.jsonl\")\r\n<\/code><\/pre>\n<p><code>max_workers<\/code>\u00a0\u53c2\u6570\u63a7\u5236\u5e76\u884c\u5904\u7406\u7684\u7ebf\u7a0b\u6570\uff0c\u9002\u5408\u5904\u7406\u5927\u6587\u4ef6\u3002<\/p>\n<h4>4. \u533b\u7597\u6587\u672c\u63d0\u53d6<\/h4>\n<p>LangExtract \u5728\u533b\u7597\u9886\u57df\u8868\u73b0\u4f18\u5f02\uff0c\u53ef\u63d0\u53d6\u836f\u7269\u540d\u79f0\u3001\u5242\u91cf\u7b49\u4fe1\u606f\u3002\u793a\u4f8b\uff1a<\/p>\n<pre><code>prompt = \"Extract medication names, dosages, and administration routes from clinical notes.\"\r\ntext = \"Patient prescribed Metformin 500 mg orally twice daily.\"\r\nresult = lx.extract(text, prompt=prompt, model=\"gemini-2.5-pro\")\r\n<\/code><\/pre>\n<p>\u7ed3\u679c\u5c06\u5305\u542b\u63d0\u53d6\u7684\u836f\u7269\u4fe1\u606f\uff0c\u5982\uff1a<\/p>\n<pre><code>{\"entity\": \"Metformin\", \"dosage\": \"500 mg\", \"route\": \"orally\"}\r\n<\/code><\/pre>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u6a21\u578b\u9009\u62e9<\/strong>\uff1a\u9ed8\u8ba4\u4f7f\u7528\u00a0<code>gemini-2.5-flash<\/code>\u00a0\u6a21\u578b\uff0c\u901f\u5ea6\u548c\u8d28\u91cf\u5747\u8861\u3002\u5bf9\u4e8e\u590d\u6742\u4efb\u52a1\uff0c\u53ef\u5207\u6362\u5230\u00a0<code>gemini-2.5-pro<\/code>\uff1a\n<pre><code>result = lx.extract(text, prompt=prompt, model=\"gemini-2.5-pro\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u591a\u8f6e\u63d0\u53d6<\/strong>\uff1a\u901a\u8fc7\u591a\u6b21\u63d0\u53d6\u63d0\u9ad8\u51c6\u786e\u6027\uff0c\u9002\u5408\u590d\u6742\u6587\u6863\uff1a\n<pre><code>result = lx.extract(text, prompt=prompt, num_passes=2)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>RadExtract \u6f14\u793a<\/strong>\uff1aLangExtract \u63d0\u4f9b\u5728\u7ebf\u6f14\u793a RadExtract\uff0c\u4e13\u95e8\u5904\u7406\u653e\u5c04\u5b66\u62a5\u544a\u3002\u8bbf\u95ee HuggingFace Spaces\uff08<code>https:\/\/google-radextract.hf.space<\/code>\uff09\u5373\u53ef\u8bd5\u7528\uff0c\u65e0\u9700\u5b89\u88c5\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u4e91\u7aef\u6a21\u578b\u9700\u7a33\u5b9a\u7684 API \u5bc6\u94a5\u548c\u7f51\u7edc\u8fde\u63a5\u3002<\/li>\n<li>\u5904\u7406\u8d85\u957f\u6587\u6863\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528 Tier 2 Gemini \u914d\u989d\u4ee5\u907f\u514d\u901f\u7387\u9650\u5236\u3002<\/li>\n<li>\u4fdd\u5b58 API \u5bc6\u94a5\u65f6\uff0c\u786e\u4fdd\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u5b89\u5168\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u533b\u7597\u6570\u636e\u5904\u7406<\/strong><br \/>\n\u533b\u9662\u548c\u7814\u7a76\u673a\u6784\u53ef\u4f7f\u7528 LangExtract \u4ece\u4e34\u5e8a\u7b14\u8bb0\u6216\u653e\u5c04\u5b66\u62a5\u544a\u4e2d\u63d0\u53d6\u836f\u7269\u3001\u5242\u91cf\u3001\u8bca\u65ad\u7b49\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\u653e\u5c04\u5b66\u62a5\u544a\u53ef\u88ab\u7ed3\u6784\u5316\u4e3a\u5305\u542b\u6807\u9898\u548c\u5173\u952e\u5b9e\u4f53\u7684\u683c\u5f0f\uff0c\u4fbf\u4e8e\u6570\u636e\u5206\u6790\u548c\u4e34\u5e8a\u51b3\u7b56\u3002<\/li>\n<li><strong>\u6587\u5b66\u5206\u6790<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4ece\u957f\u7bc7\u6587\u5b66\u4f5c\u54c1\u4e2d\u63d0\u53d6\u4eba\u7269\u3001\u60c5\u611f\u548c\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u5206\u6790\u300a\u7f57\u5bc6\u6b27\u4e0e\u6731\u4e3d\u53f6\u300b\u4e2d\u7684\u89d2\u8272\u4e92\u52a8\uff0c\u751f\u6210\u53ef\u89c6\u5316\u7ed3\u679c\u4ee5\u7814\u7a76\u4eba\u7269\u5173\u7cfb\u7f51\u3002<\/li>\n<li><strong>\u5546\u4e1a\u60c5\u62a5\u63d0\u53d6<\/strong><br \/>\n\u4f01\u4e1a\u53ef\u4ece\u65b0\u95fb\u3001\u62a5\u544a\u6216\u793e\u4ea4\u5a92\u4f53\u4e2d\u63d0\u53d6\u5173\u952e\u5b9e\u4f53\uff08\u5982\u516c\u53f8\u540d\u3001\u4ea7\u54c1\u3001\u4e8b\u4ef6\uff09\uff0c\u7528\u4e8e\u5e02\u573a\u5206\u6790\u6216\u7ade\u4e89\u60c5\u62a5\u6536\u96c6\u3002<\/li>\n<li><strong>\u6cd5\u5f8b\u6587\u6863\u5904\u7406<\/strong><br \/>\n\u5f8b\u5e08\u4e8b\u52a1\u6240\u53ef\u4ece\u5408\u540c\u6216\u6cd5\u5f8b\u6587\u4ef6\u4e2d\u63d0\u53d6\u6761\u6b3e\u3001\u65e5\u671f\u3001\u5f53\u4e8b\u4eba\u7b49\u4fe1\u606f\uff0c\u5feb\u901f\u751f\u6210\u7ed3\u6784\u5316\u6458\u8981\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>LangExtract \u662f\u5426\u514d\u8d39\uff1f<\/strong><br \/>\nLangExtract \u662f\u5f00\u6e90\u5de5\u5177\uff0c\u4ee3\u7801\u514d\u8d39\u4f7f\u7528\uff08Apache 2.0 \u8bb8\u53ef\u8bc1\uff09\u3002\u4f46\u4f7f\u7528\u4e91\u7aef\u6a21\u578b\uff08\u5982 Gemini\uff09\u9700\u652f\u4ed8 API \u8c03\u7528\u8d39\u7528\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301\u672c\u5730\u6a21\u578b\uff1f<\/strong><br \/>\n\u652f\u6301\u901a\u8fc7 Ollama \u8fd0\u884c\u672c\u5730\u5f00\u6e90\u6a21\u578b\uff0c\u65e0\u9700 API \u5bc6\u94a5\uff0c\u9002\u5408\u65e0\u7f51\u7edc\u73af\u5883\u3002<\/li>\n<li><strong>\u5982\u4f55\u5904\u7406\u8d85\u957f\u6587\u6863\uff1f<\/strong><br \/>\n\u4f7f\u7528\u667a\u80fd\u5206\u5757\u548c\u5e76\u884c\u5904\u7406\uff08\u8bbe\u7f6e\u00a0<code>max_workers<\/code>\uff09\uff0c\u5e76\u5efa\u8bae\u591a\u6b21\u63d0\u53d6\uff08\u8bbe\u7f6e\u00a0<code>num_passes<\/code>\uff09\u4ee5\u63d0\u9ad8\u51c6\u786e\u6027\u3002<\/li>\n<li><strong>\u53ef\u89c6\u5316\u7ed3\u679c\u5982\u4f55\u67e5\u770b\uff1f<\/strong><br \/>\n\u8fd0\u884c\u00a0<code>lx.visualize<\/code>\u00a0\u751f\u6210 HTML \u6587\u4ef6\uff0c\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\u5373\u53ef\u4ea4\u4e92\u5f0f\u67e5\u770b\u63d0\u53d6\u7ed3\u679c\u3002<\/li>\n<li><strong>\u533b\u7597\u5e94\u7528\u662f\u5426\u5408\u89c4\uff1f<\/strong><br \/>\nLangExtract \u4ec5\u4e3a\u6f14\u793a\u5de5\u5177\uff0c\u975e\u533b\u7597\u8bca\u65ad\u8bbe\u5907\u3002\u5065\u5eb7\u76f8\u5173\u5e94\u7528\u9700\u9075\u5b88\u300aHealth AI Developer Foundations Terms of Use\u300b\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>LangExtract \u662f Google \u5f00\u53d1\u7684\u4e00\u6b3e\u5f00\u6e90 Python \u5e93\uff0c\u4e13\u6ce8\u4e8e\u4ece\u975e\u7ed3\u6784\u5316\u6587\u672c\u4e2d\u63d0\u53d6\u7ed3\u6784\u5316\u6570\u636e\u3002\u5b83\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5982 Google Gemini \u7cfb\u5217\uff0c\u7ed3\u5408\u7cbe\u786e\u7684\u6e90\u6587\u672c\u5b9a\u4f4d\u548c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u529f\u80fd\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u5c06\u590d\u6742\u6587&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,20,499],"tags":[230,252],"class_list":["post-34448","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-tool","category-document-extraction","tag-aikaiyuanxiangmu","tag-markdown"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/34448","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=34448"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/34448\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=34448"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=34448"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=34448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}