{"id":40758,"date":"2025-08-20T18:32:41","date_gmt":"2025-08-20T10:32:41","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=40758"},"modified":"2025-08-20T18:32:41","modified_gmt":"2025-08-20T10:32:41","slug":"comorag","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/comorag\/","title":{"rendered":"ComoRAG\uff1a\u7528\u4e8e\u957f\u7bc7\u53d9\u4e8b\u63a8\u7406\u7684\u8ba4\u77e5\u8bb0\u5fc6\u68c0\u7d22\u5de5\u5177"},"content":{"rendered":"<p>ComoRAG\u662f\u4e00\u4e2a\u4e3a\u89e3\u51b3\u957f\u7bc7\u6587\u6863\u548c\u591a\u6587\u6863\u53d9\u4e8b\u7406\u89e3\u800c\u8bbe\u8ba1\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u7cfb\u7edf\u3002\u4f20\u7edf\u7684RAG\u65b9\u6cd5\u5728\u5904\u7406\u957f\u7bc7\u6545\u4e8b\u6216\u5c0f\u8bf4\u65f6\uff0c\u7531\u4e8e\u60c5\u8282\u590d\u6742\u3001\u4eba\u7269\u5173\u7cfb\u4e0d\u65ad\u6f14\u53d8\uff0c\u5e38\u5e38\u4f1a\u9047\u5230\u56f0\u96be\u3002 \u8fd9\u662f\u56e0\u4e3a\u5b83\u4eec\u5927\u591a\u91c7\u7528\u65e0\u72b6\u6001\u3001\u5355\u6b21\u68c0\u7d22\u7684\u65b9\u5f0f\uff0c\u96be\u4ee5\u6355\u6349\u957f\u8ddd\u79bb\u7684\u4e0a\u4e0b\u6587\u5173\u8054\u3002 ComoRAG\u7684\u8bbe\u8ba1\u7075\u611f\u6765\u6e90\u4e8e\u4eba\u7c7b\u7684\u8ba4\u77e5\u8fc7\u7a0b\uff0c\u5b83\u8ba4\u4e3a\u53d9\u4e8b\u63a8\u7406\u4e0d\u662f\u4e00\u6b21\u5b8c\u6210\u7684\uff0c\u800c\u662f\u4e00\u4e2a\u52a8\u6001\u7684\u3001\u4e0d\u65ad\u53d1\u5c55\u7684\u8fc7\u7a0b\uff0c\u9700\u8981\u5c06\u65b0\u83b7\u53d6\u7684\u8bc1\u636e\u4e0e\u5df2\u6709\u7684\u77e5\u8bc6\u8fdb\u884c\u6574\u5408\u3002 \u5f53\u9047\u5230\u63a8\u7406\u56f0\u96be\u65f6\uff0cComoRAG\u4f1a\u542f\u52a8\u4e00\u4e2a\u8fed\u4ee3\u63a8\u7406\u5faa\u73af\u3002 \u5b83\u4f1a\u751f\u6210\u63a2\u6d4b\u5f0f\u95ee\u9898\u6765\u63a2\u7d22\u65b0\u7684\u7ebf\u7d22\uff0c\u5e76\u5c06\u65b0\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u6574\u5408\u5230\u4e00\u4e2a\u5168\u5c40\u8bb0\u5fc6\u6c60\u4e2d\uff0c\u9010\u6b65\u4e3a\u6700\u521d\u7684\u95ee\u9898\u6784\u5efa\u4e00\u4e2a\u8fde\u8d2f\u7684\u4e0a\u4e0b\u6587\u3002 \u8fd9\u79cd\u201c\u63a8\u7406\u2192\u63a2\u6d4b\u2192\u68c0\u7d22\u2192\u6574\u5408\u2192\u89e3\u51b3\u201d\u7684\u5faa\u73af\u6a21\u5f0f\uff0c\u4f7f\u5176\u5728\u5904\u7406\u9700\u8981\u5168\u5c40\u7406\u89e3\u7684\u590d\u6742\u95ee\u9898\u65f6\u8868\u73b0\u5c24\u5176\u51fa\u8272\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/2136799c1608ea4-scaled.png\" alt=\"\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8ba4\u77e5\u8bb0\u5fc6\u6846\u67b6<\/strong>\uff1a\u6a21\u4eff\u4eba\u7c7b\u5927\u8111\u5904\u7406\u4fe1\u606f\u7684\u65b9\u5f0f\uff0c\u901a\u8fc7\u8fed\u4ee3\u63a8\u7406\u5faa\u73af\u5904\u7406\u590d\u6742\u95ee\u9898\uff0c\u5b9e\u73b0\u52a8\u6001\u3001\u6709\u72b6\u6001\u7684\u63a8\u7406\u8fc7\u7a0b\u3002<\/li>\n<li><strong>\u591a\u79cd\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u96c6\u6210\u5e76\u652f\u6301\u591a\u79cd\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u548c\u5d4c\u5165\u6a21\u578b\uff0c\u7528\u6237\u53ef\u4ee5\u8fde\u63a5\u5230OpenAI API\uff0c\u4e5f\u53ef\u4ee5\u90e8\u7f72\u672c\u5730\u7684vLLM\u670d\u52a1\u5668\u548c\u5d4c\u5165\u6a21\u578b\u3002<\/li>\n<li><strong>\u56fe\u589e\u5f3a\u68c0\u7d22<\/strong>\uff1a\u5229\u7528\u56fe\u7ed3\u6784\u8fdb\u884c\u68c0\u7d22\u548c\u63a8\u7406\uff0c\u66f4\u597d\u5730\u6355\u6349\u548c\u7406\u89e3\u5b9e\u4f53\u4e4b\u95f4\u7684\u590d\u6742\u5173\u7cfb\u3002<\/li>\n<li><strong>\u7075\u6d3b\u7684\u6570\u636e\u5904\u7406<\/strong>\uff1a\u63d0\u4f9b\u6587\u6863\u5206\u5757\u5de5\u5177\uff0c\u652f\u6301\u6309token\u3001\u5355\u8bcd\u3001\u53e5\u5b50\u7b49\u591a\u79cd\u65b9\u5f0f\u8fdb\u884c\u5207\u5206\u3002<\/li>\n<li><strong>\u6a21\u5757\u5316\u8bbe\u8ba1<\/strong>\uff1a\u7cfb\u7edf\u91c7\u7528\u6a21\u5757\u5316\u548c\u53ef\u6269\u5c55\u7684\u8bbe\u8ba1\uff0c\u65b9\u4fbf\u7528\u6237\u8fdb\u884c\u4e8c\u6b21\u5f00\u53d1\u548c\u529f\u80fd\u6269\u5c55\u3002<\/li>\n<li><strong>\u81ea\u52a8\u5316\u8bc4\u4f30<\/strong>\uff1a\u81ea\u5e26\u8bc4\u4f30\u811a\u672c\uff0c\u652f\u6301F1\u3001EM\uff08\u7cbe\u786e\u5339\u914d\uff09\u7b49\u591a\u79cd\u6307\u6807\uff0c\u65b9\u4fbf\u5bf9\u95ee\u7b54\u6548\u679c\u8fdb\u884c\u91cf\u5316\u8bc4\u4f30\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>ComoRAG \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u6846\u67b6\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u957f\u7bc7\u53d9\u4e8b\u6587\u672c\u7684\u7406\u89e3\u548c\u63a8\u7406\u3002\u5b83\u901a\u8fc7\u72ec\u7279\u7684\u8ba4\u77e5\u8fed\u4ee3\u5faa\u73af\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5728\u957f\u6587\u672c\u95ee\u7b54\u3001\u4fe1\u606f\u62bd\u53d6\u7b49\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n<h3><strong>\u73af\u5883\u914d\u7f6e\u4e0e\u5b89\u88c5<\/strong><\/h3>\n<p>\u5728\u5f00\u59cb\u4f7f\u7528\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u5148\u914d\u7f6e\u597d\u8fd0\u884c\u73af\u5883\u3002<\/p>\n<ol>\n<li><strong>Python\u7248\u672c<\/strong>\uff1a\u5efa\u8bae\u4f7f\u7528\u00a0<code>Python 3.10<\/code>\u00a0\u6216\u66f4\u9ad8\u7248\u672c\u3002<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\u514b\u9686\u9879\u76ee\u4ee3\u7801\u540e\uff0c\u5728\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u6709\u5fc5\u9700\u7684\u4f9d\u8d56\u5305\u3002\u63a8\u8350\u4f7f\u7528GPU\u73af\u5883\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u73af\u5883\u53d8\u91cf<\/strong>\uff1a\u5982\u679c\u4f60\u8ba1\u5212\u4f7f\u7528OpenAI\u7684API\uff0c\u9700\u8981\u8bbe\u7f6e\u76f8\u5e94\u7684\u73af\u5883\u53d8\u91cf\u00a0<code>OPENAI_API_KEY<\/code>\u3002\u5982\u679c\u4f7f\u7528\u672c\u5730\u6a21\u578b\uff0c\u5219\u9700\u8981\u914d\u7f6e\u6a21\u578b\u7684\u8def\u5f84\u3002<\/li>\n<\/ol>\n<h3><strong>\u6570\u636e\u51c6\u5907<\/strong><\/h3>\n<p>ComoRAG \u9700\u8981\u7279\u5b9a\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u624d\u80fd\u8fd0\u884c\u3002\u4f60\u9700\u8981\u51c6\u5907\u8bed\u6599\u5e93\u6587\u4ef6\u548c\u95ee\u7b54\u6587\u4ef6\u3002<\/p>\n<ol>\n<li><strong>\u8bed\u6599\u5e93\u6587\u4ef6 (corpus.jsonl)<\/strong>\uff1a\u8fd9\u4e2a\u6587\u4ef6\u5305\u542b\u4e86\u6240\u6709\u9700\u8981\u88ab\u68c0\u7d22\u7684\u6587\u6863\u3002\u6587\u4ef6\u4e3a\u00a0<code>jsonl<\/code>\u00a0\u683c\u5f0f\uff0c\u6bcf\u4e00\u884c\u662f\u4e00\u4e2aJSON\u5bf9\u8c61\uff0c\u4ee3\u8868\u4e00\u7bc7\u6587\u6863\u3002\n<ul>\n<li><code>id<\/code>: \u6587\u6863\u7684\u552f\u4e00\u6807\u8bc6\u7b26\u3002<\/li>\n<li><code>doc_id<\/code>: \u6587\u6863\u6240\u5c5e\u7684\u7ec4\u6216\u4e66\u7c4d\u7684\u6807\u8bc6\u3002<\/li>\n<li><code>title<\/code>: \u6587\u6863\u6807\u9898\u3002<\/li>\n<li><code>contents<\/code>: \u6587\u6863\u7684\u539f\u59cb\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<p>\u793a\u4f8b\uff1a<\/p>\n<pre><code>{\"id\": 0, \"doc_id\": 1, \"title\": \"\u7b2c\u4e00\u7ae0\", \"contents\": \"\u5f88\u4e45\u5f88\u4e45\u4ee5\u524d...\"}\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u95ee\u7b54\u6587\u4ef6 (qas.jsonl)<\/strong>\uff1a\u8fd9\u4e2a\u6587\u4ef6\u5305\u542b\u4e86\u9700\u8981\u6a21\u578b\u56de\u7b54\u7684\u95ee\u9898\u3002\u540c\u6837\uff0c\u6bcf\u4e00\u884c\u662f\u4e00\u4e2aJSON\u5bf9\u8c61\u3002\n<ul>\n<li><code>id<\/code>: \u95ee\u9898\u7684\u552f\u4e00\u6807\u8bc6\u7b26\u3002<\/li>\n<li><code>question<\/code>: \u5177\u4f53\u7684\u95ee\u9898\u3002<\/li>\n<li><code>golden_answers<\/code>: \u95ee\u9898\u7684\u6807\u51c6\u7b54\u6848\u5217\u8868\u3002<\/li>\n<\/ul>\n<p>\u793a\u4f8b\uff1a<\/p>\n<pre><code>{\"id\": \"1\", \"question\": \"\u6545\u4e8b\u7684\u4e3b\u89d2\u662f\u8c01\uff1f\", \"golden_answers\": [\"\u7070\u59d1\u5a18\"]}\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3><strong>\u6587\u6863\u5206\u5757<\/strong><\/h3>\n<p>\u7531\u4e8e\u957f\u6587\u6863\u65e0\u6cd5\u88ab\u6a21\u578b\u76f4\u63a5\u5904\u7406\uff0c\u9700\u8981\u5148\u5c06\u5176\u5207\u5206\u6210\u5c0f\u5757\u3002\u9879\u76ee\u63d0\u4f9b\u4e86\u00a0<code>chunk_doc_corpus.py<\/code>\u00a0\u811a\u672c\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5bf9\u8bed\u6599\u5e93\u8fdb\u884c\u5206\u5757\uff1a<\/p>\n<pre><code>python script\/chunk_doc_corpus.py \\\r\n--input_path dataset\/cinderella\/corpus.jsonl \\\r\n--output_path dataset\/cinderella\/corpus_chunked.jsonl \\\r\n--chunk_by <a href=\"https:\/\/www.kdjingpai.com\/tokenization\/\">token<\/a> \\\r\n--chunk_size 512 \\\r\n--tokenizer_name_or_path \/path\/to\/your\/tokenizer\r\n<\/code><\/pre>\n<ul>\n<li><code>--input_path<\/code>: \u539f\u59cb\u8bed\u6599\u5e93\u6587\u4ef6\u7684\u8def\u5f84\u3002<\/li>\n<li><code>--output_path<\/code>: \u5206\u5757\u540e\u6587\u4ef6\u7684\u4fdd\u5b58\u8def\u5f84\u3002<\/li>\n<li><code>--chunk_by<\/code>: \u5206\u5757\u4f9d\u636e\uff0c\u53ef\u4ee5\u662f\u00a0<code>token<\/code>\u3001<code>word<\/code>\u00a0\u6216\u00a0<code>sentence<\/code>\u3002<\/li>\n<li><code>--chunk_size<\/code>: \u6bcf\u4e2a\u5206\u5757\u7684\u5927\u5c0f\u3002<\/li>\n<li><code>--tokenizer_name_or_path<\/code>: \u6307\u5b9a\u7528\u4e8e\u8ba1\u7b97token\u7684\u5206\u8bcd\u5668\u8def\u5f84\u3002<\/li>\n<\/ul>\n<h3><strong>\u4e24\u79cd\u8fd0\u884c\u6a21\u5f0f<\/strong><\/h3>\n<p>ComoRAG \u63d0\u4f9b\u4e86\u4e24\u79cd\u4e3b\u6d41\u7684\u8fd0\u884c\u65b9\u5f0f\uff1a\u4f7f\u7528OpenAI API\u6216\u4f7f\u7528\u672c\u5730\u90e8\u7f72\u7684vLLM\u670d\u52a1\u5668\u3002<\/p>\n<h4><strong>\u6a21\u5f0f\u4e00\uff1a\u4f7f\u7528OpenAI API<\/strong><\/h4>\n<p>\u8fd9\u662f\u6700\u7b80\u5355\u5feb\u6377\u7684\u542f\u52a8\u65b9\u5f0f\u3002<\/p>\n<ol>\n<li><strong>\u4fee\u6539\u914d\u7f6e<\/strong>\uff1a\u6253\u5f00\u00a0<code>main_openai.py<\/code>\u00a0\u6587\u4ef6\uff0c\u627e\u5230\u00a0<code>BaseConfig<\/code>\u00a0\u90e8\u5206\u8fdb\u884c\u4fee\u6539\u3002\n<pre><code>config = BaseConfig(\r\nllm_base_url='https:\/\/api.openai.com\/v1',  # \u901a\u5e38\u65e0\u9700\u4fee\u6539\r\nllm_name='gpt-4o-mini',                    # \u6307\u5b9a\u4f7f\u7528\u7684OpenAI\u6a21\u578b\r\ndataset='cinderella',                      # \u6570\u636e\u96c6\u540d\u79f0\r\nembedding_model_name='\/path\/to\/your\/embedding\/model', # \u6307\u5b9a\u5d4c\u5165\u6a21\u578b\u7684\u8def\u5f84\r\nembedding_batch_size=32,\r\nneed_cluster=True,                         # \u542f\u7528\u8bed\u4e49\/\u60c5\u666f\u589e\u5f3a\r\noutput_dir='result\/cinderella',            # \u7ed3\u679c\u8f93\u51fa\u76ee\u5f55\r\n...\r\n)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7a0b\u5e8f<\/strong>\uff1a\u914d\u7f6e\u5b8c\u6210\u540e\uff0c\u76f4\u63a5\u8fd0\u884c\u8be5\u811a\u672c\u3002\n<pre><code>python main_openai.py\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4><strong>\u6a21\u5f0f\u4e8c\uff1a\u4f7f\u7528\u672c\u5730vLLM\u670d\u52a1\u5668<\/strong><\/h4>\n<p>\u5982\u679c\u4f60\u62e5\u6709\u8db3\u591f\u7684\u8ba1\u7b97\u8d44\u6e90\uff08\u5982GPU\uff09\uff0c\u5e76\u5e0c\u671b\u5728\u672c\u5730\u8fd0\u884c\u6a21\u578b\u4ee5\u4fdd\u8bc1\u6570\u636e\u9690\u79c1\u548c\u964d\u4f4e\u6210\u672c\uff0c\u53ef\u4ee5\u9009\u62e9\u6b64\u6a21\u5f0f\u3002<\/p>\n<ol>\n<li><strong>\u542f\u52a8vLLM\u670d\u52a1\u5668<\/strong>\uff1a\u9996\u5148\uff0c\u4f60\u9700\u8981\u542f\u52a8\u4e00\u4e2a\u4e0eOpenAI API\u517c\u5bb9\u7684vLLM\u670d\u52a1\u5668\u3002\n<pre><code>python -m <a href=\"https:\/\/www.kdjingpai.com\/vllm\/\">vllm<\/a>.entrypoints.openai.api_server \\\r\n--model \/path\/to\/your\/model \\\r\n--served-model-name your-model-name \\\r\n--tensor-parallel-size 1 \\\r\n--max-model-len 32768\r\n<\/code><\/pre>\n<ul>\n<li><code>--model<\/code>: \u4f60\u672c\u5730\u5927\u8bed\u8a00\u6a21\u578b\u7684\u8def\u5f84\u3002<\/li>\n<li><code>--served-model-name<\/code>: \u4e3a\u4f60\u7684\u6a21\u578b\u670d\u52a1\u6307\u5b9a\u4e00\u4e2a\u540d\u79f0\u3002<\/li>\n<li><code>--tensor-parallel-size<\/code>: \u4f7f\u7528\u7684GPU\u6570\u91cf\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u68c0\u67e5\u670d\u52a1\u5668\u72b6\u6001<\/strong>\uff1a\u4f60\u53ef\u4ee5\u7528\u00a0<code>curl http:\/\/localhost:8000\/v1\/models<\/code>\u00a0\u547d\u4ee4\u6765\u68c0\u67e5\u670d\u52a1\u5668\u662f\u5426\u6210\u529f\u542f\u52a8\u3002<\/li>\n<li><strong>\u4fee\u6539\u914d\u7f6e<\/strong>\uff1a\u6253\u5f00\u00a0<code>main_vllm.py<\/code>\u00a0\u6587\u4ef6\uff0c\u4fee\u6539\u5176\u4e2d\u7684\u914d\u7f6e\u3002\n<pre><code># vLLM\u670d\u52a1\u5668\u914d\u7f6e\r\nvllm_base_url = 'http:\/\/localhost:8000\/v1'\r\nserved_model_name = '\/path\/to\/your\/model' # \u4e0evLLM\u542f\u52a8\u65f6\u6307\u5b9a\u7684\u6a21\u578b\u8def\u5f84\u4e00\u81f4\r\nconfig = BaseConfig(\r\nllm_base_url=vllm_base_url,\r\nllm_name=served_model_name,\r\nllm_api_key=\"EMPTY\",  # \u672c\u5730\u670d\u52a1\u5668\u4e0d\u9700\u8981\u771f\u5b9e\u7684API Key\r\ndataset='cinderella',\r\nembedding_model_name='\/path\/to\/your\/embedding\/model', # \u672c\u5730\u5d4c\u5165\u6a21\u578b\u8def\u5f84\r\n...\r\n)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7a0b\u5e8f<\/strong>\uff1a\u914d\u7f6e\u5b8c\u6210\u540e\uff0c\u8fd0\u884c\u811a\u672c\u3002\n<pre><code>python main_vllm.py\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3><strong>\u8bc4\u4f30\u7ed3\u679c<\/strong><\/h3>\n<p>\u5f53\u7a0b\u5e8f\u8fd0\u884c\u7ed3\u675f\u540e\uff0c\u751f\u6210\u7684\u7ed3\u679c\u4f1a\u4fdd\u5b58\u5728\u00a0<code>result\/<\/code>\u00a0\u76ee\u5f55\u4e0b\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u00a0<code>eval_qa.py<\/code>\u00a0\u811a\u672c\u6765\u81ea\u52a8\u8bc4\u4f30\u6a21\u578b\u7684\u8868\u73b0\u3002<\/p>\n<pre><code>python script\/eval_qa.py \/path\/to\/result\/&lt;dataset&gt;\/&lt;subset&gt;\r\n<\/code><\/pre>\n<p>\u8be5\u811a\u672c\u4f1a\u8ba1\u7b97EM\uff08\u7cbe\u786e\u5339\u914d\u7387\uff09\u548cF1\u5206\u6570\u7b49\u6307\u6807\uff0c\u5e76\u751f\u6210\u00a0<code>results.json<\/code>\u00a0\u7b49\u6587\u4ef6\u3002<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u957f\u7bc7\u5c0f\u8bf4\/\u5267\u672c\u5206\u6790<\/strong><br \/>\n\u5bf9\u4e8e\u4f5c\u5bb6\u3001\u7f16\u5267\u6216\u6587\u5b66\u7814\u7a76\u8005\uff0cComoRAG\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u5f3a\u5927\u7684\u5206\u6790\u5de5\u5177\u3002\u7528\u6237\u53ef\u4ee5\u5bfc\u5165\u6574\u90e8\u5c0f\u8bf4\u6216\u5267\u672c\uff0c\u7136\u540e\u63d0\u51fa\u5173\u4e8e\u60c5\u8282\u53d1\u5c55\u3001\u4eba\u7269\u5173\u7cfb\u6f14\u53d8\u6216\u7279\u5b9a\u4e3b\u9898\u7684\u590d\u6742\u95ee\u9898\uff0c\u7cfb\u7edf\u80fd\u591f\u901a\u8fc7\u6574\u5408\u5168\u6587\u4fe1\u606f\u7ed9\u51fa\u6df1\u523b\u7684\u89c1\u89e3\u3002<\/li>\n<li><strong>\u4f01\u4e1a\u7ea7\u77e5\u8bc6\u5e93\u95ee\u7b54<\/strong><br \/>\n\u4f01\u4e1a\u5185\u90e8\u901a\u5e38\u6709\u5927\u91cf\u7684\u6280\u672f\u6587\u6863\u3001\u9879\u76ee\u62a5\u544a\u548c\u89c4\u7ae0\u5236\u5ea6\u3002ComoRAG\u53ef\u4ee5\u5904\u7406\u8fd9\u4e9b\u957f\u7bc7\u3001\u590d\u6742\u4e14\u4e92\u76f8\u5173\u8054\u7684\u6587\u6863\uff0c\u6784\u5efa\u4e00\u4e2a\u667a\u80fd\u95ee\u7b54\u7cfb\u7edf\u3002\u5458\u5de5\u53ef\u4ee5\u76f4\u63a5\u7528\u81ea\u7136\u8bed\u8a00\u63d0\u95ee\uff0c\u4f8b\u5982\u201c\u5728\u7b2c\u4e09\u5b63\u5ea6\u7684\u9879\u76ee\u4e2d\uff0cA\u65b9\u6848\u548cB\u65b9\u6848\u7684\u6280\u672f\u5b9e\u73b0\u6709\u54ea\u4e9b\u5173\u952e\u5dee\u5f02\u548c\u98ce\u9669\uff1f\u201d\uff0c\u7cfb\u7edf\u80fd\u591f\u6574\u5408\u591a\u4e2a\u62a5\u544a\uff0c\u63d0\u4f9b\u7cbe\u51c6\u7b54\u6848\u3002<\/li>\n<li><strong>\u6cd5\u5f8b\u6587\u4e66\u548c\u6848\u4ef6\u5377\u5b97\u7814\u8bfb<\/strong><br \/>\n\u5f8b\u5e08\u548c\u6cd5\u52a1\u4eba\u5458\u9700\u8981\u9605\u8bfb\u5927\u91cf\u5197\u957f\u7684\u6cd5\u5f8b\u6587\u4e66\u548c\u5386\u53f2\u5377\u5b97\u3002ComoRAG\u53ef\u4ee5\u5e2e\u52a9\u4ed6\u4eec\u5feb\u901f\u68b3\u7406\u6848\u4ef6\u65f6\u95f4\u7ebf\uff0c\u5206\u6790\u4e0d\u540c\u8bc1\u636e\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u5e76\u56de\u7b54\u9700\u8981\u7efc\u5408\u591a\u4efd\u6587\u4ef6\u624d\u80fd\u5f97\u51fa\u7ed3\u8bba\u7684\u590d\u6742\u95ee\u9898\uff0c\u6781\u5927\u5730\u63d0\u5347\u4e86\u6848\u4ef6\u5206\u6790\u7684\u6548\u7387\u3002<\/li>\n<li><strong>\u79d1\u5b66\u7814\u7a76\u4e0e\u6587\u732e\u7efc\u8ff0<\/strong><br \/>\n\u79d1\u7814\u4eba\u5458\u5728\u8fdb\u884c\u6587\u732e\u7efc\u8ff0\u65f6\uff0c\u9700\u8981\u9605\u8bfb\u548c\u7406\u89e3\u5927\u91cf\u7684\u5b66\u672f\u8bba\u6587\u3002ComoRAG\u53ef\u4ee5\u8f85\u52a9\u7814\u7a76\u4eba\u5458\u5bf9\u4e00\u4e2a\u9886\u57df\u5185\u7684\u591a\u7bc7\u8bba\u6587\u8fdb\u884c\u63d0\u95ee\uff0c\u62bd\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u5e76\u6784\u5efa\u77e5\u8bc6\u56fe\u8c31\uff0c\u5e2e\u52a9\u4ed6\u4eec\u5feb\u901f\u638c\u63e1\u7814\u7a76\u9886\u57df\u7684\u5168\u5c40\u52a8\u6001\u548c\u6838\u5fc3\u6311\u6218\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>ComoRAG\u4e0e\u4f20\u7edf\u7684RAG\u65b9\u6cd5\u6709\u4ec0\u4e48\u6838\u5fc3\u533a\u522b\uff1f<\/strong><br \/>\n\u6838\u5fc3\u533a\u522b\u5728\u4e8eComoRAG\u5f15\u5165\u4e86\u4e00\u4e2a\u53d7\u8ba4\u77e5\u79d1\u5b66\u542f\u53d1\u7684\u52a8\u6001\u8fed\u4ee3\u63a8\u7406\u8fc7\u7a0b\u3002 \u4f20\u7edfRAG\u901a\u5e38\u662f\u4e00\u6b21\u6027\u7684\u3001\u65e0\u72b6\u6001\u7684\u68c0\u7d22\uff0c\u800cComoRAG\u5728\u9047\u5230\u96be\u4ee5\u89e3\u7b54\u7684\u95ee\u9898\u65f6\uff0c\u4f1a\u4e3b\u52a8\u751f\u6210\u65b0\u7684\u63a2\u7d22\u6027\u95ee\u9898\uff0c\u8fdb\u884c\u591a\u8f6e\u68c0\u7d22\u548c\u4fe1\u606f\u6574\u5408\uff0c\u5f62\u6210\u4e00\u4e2a\u4e0d\u65ad\u4e30\u5bcc\u7684\u201c\u8bb0\u5fc6\u6c60\u201d\u6765\u8f85\u52a9\u6700\u7ec8\u7684\u63a8\u7406\u3002<\/li>\n<li><strong>\u4f7f\u7528\u672c\u5730vLLM\u670d\u52a1\u5668\u6709\u4ec0\u4e48\u8981\u6c42\uff1f<\/strong><br \/>\n\u4f7f\u7528vLLM\u672c\u5730\u670d\u52a1\u5668\u901a\u5e38\u9700\u8981\u914d\u5907\u6027\u80fd\u8f83\u597d\u7684NVIDIA GPU\u548c\u8db3\u591f\u7684\u663e\u5b58\uff0c\u5177\u4f53\u8981\u6c42\u53d6\u51b3\u4e8e\u4f60\u6240\u52a0\u8f7d\u6a21\u578b\u7684\u5927\u5c0f\u3002\u540c\u65f6\uff0c\u9700\u8981\u5b89\u88c5CUDA\u5de5\u5177\u5305\u3002\u8fd9\u79cd\u65b9\u5f0f\u867d\u7136\u521d\u59cb\u8bbe\u7f6e\u590d\u6742\uff0c\u4f46\u53ef\u4ee5\u63d0\u4f9b\u66f4\u9ad8\u7684\u6570\u636e\u5b89\u5168\u6027\u548c\u66f4\u5feb\u7684\u63a8\u7406\u901f\u5ea6\u3002<\/li>\n<li><strong>\u6211\u53ef\u4ee5\u66ff\u6362\u81ea\u5df1\u7684\u5d4c\u5165\u6a21\u578b\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\u3002ComoRAG\u7684\u67b6\u6784\u662f\u6a21\u5757\u5316\u7684\uff0c\u4f60\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728\u00a0<code>embedding_model<\/code>\u00a0\u76ee\u5f55\u4e0b\u6dfb\u52a0\u5bf9\u65b0\u5d4c\u5165\u6a21\u578b\u7684\u652f\u6301\u3002\u53ea\u9700\u8981\u786e\u4fdd\u4f60\u7684\u6a21\u578b\u80fd\u591f\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u5411\u91cf\uff0c\u5e76\u9002\u914d\u7cfb\u7edf\u7684\u6570\u636e\u52a0\u8f7d\u548c\u8c03\u7528\u63a5\u53e3\u5373\u53ef\u3002<\/li>\n<li><strong>\u8fd9\u4e2a\u6846\u67b6\u652f\u6301\u5904\u7406\u56fe\u7247\u6216\u97f3\u89c6\u9891\u7b49\u591a\u6a21\u6001\u6570\u636e\u5417\uff1f<\/strong><br \/>\n\u4ece\u9879\u76ee\u7684\u57fa\u672c\u4ecb\u7ecd\u6765\u770b\uff0cComoRAG\u76ee\u524d\u4e3b\u8981\u4e13\u6ce8\u4e8e\u5904\u7406\u957f\u6587\u672c\u53d9\u4e8b\uff0c\u4f8b\u5982\u957f\u6587\u6863\u548c\u591a\u6587\u6863\u95ee\u7b54\u3002 \u867d\u7136\u5176\u6a21\u5757\u5316\u8bbe\u8ba1\u4e3a\u672a\u6765\u6269\u5c55\u591a\u6a21\u6001\u80fd\u529b\u63d0\u4f9b\u4e86\u53ef\u80fd\uff0c\u4f46\u5f53\u524d\u7248\u672c\u7684\u6838\u5fc3\u529f\u80fd\u662f\u56f4\u7ed5\u6587\u672c\u6570\u636e\u6784\u5efa\u7684\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>ComoRAG\u662f\u4e00\u4e2a\u4e3a\u89e3\u51b3\u957f\u7bc7\u6587\u6863\u548c\u591a\u6587\u6863\u53d9\u4e8b\u7406\u89e3\u800c\u8bbe\u8ba1\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u7cfb\u7edf\u3002\u4f20\u7edf\u7684RAG\u65b9\u6cd5\u5728\u5904\u7406\u957f\u7bc7\u6545\u4e8b\u6216\u5c0f\u8bf4\u65f6\uff0c\u7531\u4e8e\u60c5\u8282\u590d\u6742\u3001\u4eba\u7269\u5173\u7cfb\u4e0d\u65ad\u6f14\u53d8\uff0c\u5e38\u5e38\u4f1a\u9047\u5230\u56f0\u96be\u3002 \u8fd9\u662f\u56e0\u4e3a\u5b83\u4eec\u5927\u591a\u91c7\u7528\u65e0\u72b6\u6001\u3001\u5355\u6b21\u68c0\u7d22\u7684\u65b9\u5f0f\uff0c\u96be\u4ee5\u6355\u6349\u957f\u8ddd\u79bb\u7684\u4e0a\u4e0b&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,459,478],"tags":[230,243],"class_list":["post-40758","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-rag-project","category-memory-system","tag-aikaiyuanxiangmu","tag-aizhishikuyukefu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/40758","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=40758"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/40758\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=40758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=40758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=40758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}