{"id":28272,"date":"2025-03-11T18:25:48","date_gmt":"2025-03-11T10:25:48","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=28272"},"modified":"2025-07-14T11:47:29","modified_gmt":"2025-07-14T03:47:29","slug":"hipporag","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/hipporag\/","title":{"rendered":"HippoRAG\uff1a\u57fa\u4e8e\u957f\u65f6\u8bb0\u5fc6\u7684\u591a\u8df3\u77e5\u8bc6\u68c0\u7d22\u6846\u67b6"},"content":{"rendered":"<p>HippoRAG \u662f\u4fc4\u4ea5\u4fc4\u5dde\u7acb\u5927\u5b66 OSU-NLP \u5c0f\u7ec4\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u7075\u611f\u6765\u6e90\u4e8e\u4eba\u7c7b\u957f\u65f6\u8bb0\u5fc6\u673a\u5236\u3002\u5b83\u7ed3\u5408\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u3001\u77e5\u8bc6\u56fe\u8c31\u548c\u4e2a\u6027\u5316 PageRank \u6280\u672f\uff0c\u5e2e\u52a9\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4ece\u5916\u90e8\u6587\u6863\u4e2d\u6301\u7eed\u6574\u5408\u77e5\u8bc6\u3002HippoRAG 2 \u662f\u5176\u6700\u65b0\u7248\u672c\uff0c\u5df2\u5728 NeurIPS 2024 \u5927\u4f1a\u4e0a\u5c55\u793a\u3002\u5b83\u63d0\u5347\u4e86\u6a21\u578b\u5728\u591a\u8df3\u68c0\u7d22\u548c\u590d\u6742\u4e0a\u4e0b\u6587\u7406\u89e3\u4e0a\u7684\u80fd\u529b\uff0c\u540c\u65f6\u4fdd\u6301\u4f4e\u6210\u672c\u548c\u4f4e\u5ef6\u8fdf\u7684\u7279\u70b9\u3002\u76f8\u6bd4 GraphRAG \u7b49\u65b9\u6848\uff0c\u5b83\u5728\u79bb\u7ebf\u7d22\u5f15\u65f6\u8d44\u6e90\u5360\u7528\u66f4\u5c11\u3002\u7528\u6237\u53ef\u901a\u8fc7 GitHub \u83b7\u53d6\u4ee3\u7801\uff0c\u514d\u8d39\u90e8\u7f72\u4f7f\u7528\u3002<\/p>\n<div id=\"attachment_28273\" style=\"width: 863px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-28273\" class=\"wp-image-28273\" title=\"HippoRAG\uff1a\u57fa\u4e8e\u957f\u65f6\u8bb0\u5fc6\u7684\u591a\u8df3\u77e5\u8bc6\u68c0\u7d22\u6846\u67b6-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/59338cc0369de3e.png\" alt=\"HippoRAG\uff1a\u57fa\u4e8e\u957f\u65f6\u8bb0\u5fc6\u7684\u591a\u8df3\u77e5\u8bc6\u68c0\u7d22\u6846\u67b6-1\" width=\"853\" height=\"328\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/59338cc0369de3e.png 1027w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/59338cc0369de3e-768x295.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/59338cc0369de3e-18x7.png 18w\" sizes=\"auto, (max-width: 853px) 100vw, 853px\" \/><p id=\"caption-attachment-28273\" class=\"wp-caption-text\">HippoRAG2 \u5b9e\u73b0\u65b9\u6cd5<\/p><\/div>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u6587\u6863\u7d22\u5f15<\/strong>\uff1a\u5c06\u5916\u90e8\u6587\u6863\u8f6c\u5316\u4e3a\u53ef\u68c0\u7d22\u7684\u77e5\u8bc6\u7ed3\u6784\uff0c\u652f\u6301\u6301\u7eed\u66f4\u65b0\u3002<\/li>\n<li><strong>\u591a\u8df3\u68c0\u7d22<\/strong>\uff1a\u901a\u8fc7\u77e5\u8bc6\u5173\u8054\uff0c\u56de\u7b54\u9700\u8981\u591a\u6b65\u63a8\u7406\u7684\u95ee\u9898\u3002<\/li>\n<li><strong>\u95ee\u7b54\u751f\u6210<\/strong>\uff1a\u6839\u636e\u68c0\u7d22\u7ed3\u679c\u751f\u6210\u51c6\u786e\u7684\u56de\u7b54\u3002<\/li>\n<li><strong>\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u517c\u5bb9 OpenAI \u6a21\u578b\u548c\u672c\u5730 <a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vLLM<\/a> \u90e8\u7f72\u7684 LLM\u3002<\/li>\n<li><strong>\u9ad8\u6548\u5904\u7406<\/strong>\uff1a\u5728\u7ebf\u68c0\u7d22\u901f\u5ea6\u5feb\uff0c\u79bb\u7ebf\u7d22\u5f15\u8d44\u6e90\u9700\u6c42\u4f4e\u3002<\/li>\n<li><strong>\u5b9e\u9a8c\u9a8c\u8bc1<\/strong>\uff1a\u63d0\u4f9b\u6570\u636e\u96c6\u548c\u811a\u672c\uff0c\u652f\u6301\u7814\u7a76\u590d\u73b0\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>HippoRAG \u7684\u5b89\u88c5\u8fc7\u7a0b\u7b80\u5355\uff0c\u9002\u5408\u6709 Python \u57fa\u7840\u7684\u7528\u6237\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff0c\u521b\u5efa Python 3.10 \u73af\u5883\uff1a<\/li>\n<\/ol>\n<pre><code>conda create -n hipporag python=3.10\r\n<\/code><\/pre>\n<p>\u7136\u540e\u6fc0\u6d3b\u73af\u5883\uff1a<\/p>\n<pre><code>conda activate hipporag\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5 HippoRAG<\/strong><br \/>\n\u5728\u6fc0\u6d3b\u7684\u73af\u5883\u4e2d\u8fd0\u884c\uff1a<\/li>\n<\/ol>\n<pre><code>pip install hipporag\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u914d\u7f6e\u73af\u5883\u53d8\u91cf<\/strong><br \/>\n\u6839\u636e\u4f60\u7684\u786c\u4ef6\u548c\u9700\u6c42\uff0c\u8bbe\u7f6e\u4ee5\u4e0b\u53d8\u91cf\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u591a\u5757 GPU\uff1a<\/li>\n<\/ol>\n<pre><code>export CUDA_VISIBLE_DEVICES=0,1,2,3\r\nexport HF_HOME=&lt;\u4f60\u7684 Huggingface \u76ee\u5f55\u8def\u5f84&gt;\r\nexport OPENAI_API_KEY=&lt;\u4f60\u7684 OpenAI API \u5bc6\u94a5&gt;  # \u4f7f\u7528 OpenAI \u6a21\u578b\u65f6\u9700\u8981\r\n<\/code><\/pre>\n<p>\u518d\u6b21\u6fc0\u6d3b\u73af\u5883\uff0c\u786e\u4fdd\u751f\u6548\uff1a<\/p>\n<pre><code>conda activate hipporag\r\n<\/code><\/pre>\n<h3>\u4f7f\u7528 OpenAI \u6a21\u578b<\/h3>\n<p>\u60f3\u5feb\u901f\u4e0a\u624b HippoRAG\uff1f\u53ef\u4ee5\u7528 OpenAI \u6a21\u578b\u3002\u4ee5\u4e0b\u662f\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u6587\u6863<\/strong><br \/>\n\u521b\u5efa\u4e00\u4e2a\u6587\u6863\u5217\u8868\uff0c\u4f8b\u5982\uff1a<\/li>\n<\/ol>\n<pre><code>docs = [\r\n\"\u5f20\u4e09\u662f\u4e00\u540d\u533b\u751f\u3002\",\r\n\"\u674e\u56db\u4f4f\u5728\u5317\u4eac\u3002\",\r\n\"\u5317\u4eac\u662f\u4e2d\u56fd\u7684\u9996\u90fd\u3002\"\r\n]\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u521d\u59cb\u5316 HippoRAG<\/strong><br \/>\n\u5728 Python \u4e2d\u8bbe\u7f6e\u53c2\u6570\uff1a<\/p>\n<pre><code>from hipporag import HippoRAG\r\nsave_dir = 'outputs'\r\nllm_model_name = 'gpt-4o-mini'\r\nembedding_model_name = 'nvidia\/NV-Embed-v2'\r\nhipporag = HippoRAG(save_dir=save_dir, llm_model_name=llm_model_name, embedding_model_name=embedding_model_name)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7d22\u5f15\u6587\u6863<\/strong><br \/>\n\u8f93\u5165\u6587\u6863\u8fdb\u884c\u7d22\u5f15\uff1a<\/p>\n<pre><code>hipporag.index(docs=docs)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u63d0\u95ee\u4e0e\u56de\u7b54<\/strong><br \/>\n\u8f93\u5165\u95ee\u9898\u83b7\u53d6\u7b54\u6848\uff1a<\/p>\n<pre><code>queries = [\"\u5f20\u4e09\u505a\u4ec0\u4e48\u5de5\u4f5c\uff1f\", \"\u674e\u56db\u4f4f\u5728\u54ea\u91cc\uff1f\"]\r\nrag_results = hipporag.rag_qa(queries=queries)\r\nprint(rag_results)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u53ef\u80fd\u662f\uff1a<\/p>\n<ul>\n<li>\u5f20\u4e09\u662f\u4e00\u540d\u533b\u751f\u3002<\/li>\n<li>\u674e\u56db\u4f4f\u5728\u5317\u4eac\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u672c\u5730 vLLM \u6a21\u578b<\/h3>\n<p>\u60f3\u672c\u5730\u90e8\u7f72\uff1f\u53ef\u4ee5\u7528 vLLM \u8fd0\u884c HippoRAG\u3002\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u542f\u52a8 vLLM \u670d\u52a1<\/strong><br \/>\n\u5728\u7ec8\u7aef\u542f\u52a8\u672c\u5730\u670d\u52a1\uff0c\u4f8b\u5982\u7528 Llama \u6a21\u578b\uff1a<\/p>\n<pre><code>export CUDA_VISIBLE_DEVICES=0,1\r\nexport VLLM_WORKER_MULTIPROC_METHOD=spawn\r\nexport HF_HOME=&lt;\u4f60\u7684 Huggingface \u76ee\u5f55\u8def\u5f84&gt;\r\nconda activate hipporag\r\nvllm serve meta-llama\/Llama-3.3-70B-Instruct --tensor-parallel-size 2 --max_model_len 4096 --gpu-memory-utilization 0.95\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521d\u59cb\u5316 HippoRAG<\/strong><br \/>\n\u5728 Python \u4e2d\u6307\u5b9a\u672c\u5730\u670d\u52a1\u5730\u5740\uff1a<\/p>\n<pre><code>hipporag = HippoRAG(save_dir='outputs', llm_model_name='meta-llama\/Llama-3.3-70B-Instruct', embedding_model_name='nvidia\/NV-Embed-v2', llm_base_url='http:\/\/localhost:8000\/v1')\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7d22\u5f15\u4e0e\u95ee\u7b54<\/strong><br \/>\n\u64cd\u4f5c\u4e0e OpenAI \u6a21\u578b\u4e00\u81f4\uff0c\u8f93\u5165\u6587\u6863\u548c\u95ee\u9898\u5373\u53ef\u3002<\/li>\n<\/ol>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u591a\u8df3\u68c0\u7d22<\/h4>\n<p>HippoRAG \u7684\u4eae\u70b9\u662f\u591a\u8df3\u68c0\u7d22\u3002\u4f8b\u5982\uff0c\u95ee\u201c\u674e\u56db\u4f4f\u5728\u54ea\u4e2a\u56fd\u5bb6\u7684\u9996\u90fd\uff1f\u201d \u7cfb\u7edf\u4f1a\u5148\u627e\u5230\u201c\u674e\u56db\u4f4f\u5728\u5317\u4eac\u201d\uff0c\u518d\u5173\u8054\u201c\u5317\u4eac\u662f\u4e2d\u56fd\u7684\u9996\u90fd\u201d\uff0c\u56de\u7b54\u201c\u4e2d\u56fd\u201d\u3002\u4f7f\u7528\u65f6\u53ea\u9700\u8f93\u5165\u95ee\u9898\uff1a<\/p>\n<pre><code>queries = [\"\u674e\u56db\u4f4f\u5728\u54ea\u4e2a\u56fd\u5bb6\u7684\u9996\u90fd\uff1f\"]\r\nrag_results = hipporag.rag_qa(queries=queries)\r\nprint(rag_results)\r\n<\/code><\/pre>\n<h4>\u5b9e\u9a8c\u590d\u73b0<\/h4>\n<p>\u60f3\u9a8c\u8bc1\u8bba\u6587\u7ed3\u679c\uff1fHippoRAG \u63d0\u4f9b\u4e86\u590d\u73b0\u5de5\u5177\u3002<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u6570\u636e\u96c6<\/strong><br \/>\n\u4ece GitHub \u6216 HuggingFace \u4e0b\u8f7d\u6570\u636e\u96c6\uff08\u5982\u00a0<code>sample.json<\/code>\uff09\uff0c\u653e\u5165\u00a0<code>reproduce\/dataset<\/code>\u00a0\u76ee\u5f55\u3002<\/li>\n<li><strong>\u8fd0\u884c\u5b9e\u9a8c<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8f93\u5165\uff1a<\/p>\n<pre><code>python main.py --dataset sample --llm_base_url https:\/\/api.openai.com\/v1 --llm_name gpt-4o-mini --embedding_name nvidia\/NV-Embed-v2\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u67e5\u770b\u7ed3\u679c<\/strong><br \/>\n\u68c0\u67e5\u8f93\u51fa\uff0c\u9a8c\u8bc1\u591a\u8df3\u68c0\u7d22\u548c\u95ee\u7b54\u6548\u679c\u3002<\/li>\n<\/ol>\n<h4>\u79bb\u7ebf\u6279\u5904\u7406<\/h4>\n<p>vLLM \u652f\u6301\u79bb\u7ebf\u6a21\u5f0f\uff0c\u7d22\u5f15\u901f\u5ea6\u53ef\u63d0\u5347 3 \u500d\u4ee5\u4e0a\u3002\u64cd\u4f5c\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u8fd0\u884c\u79bb\u7ebf\u6279\u5904\u7406<\/strong>\n<pre><code>export CUDA_VISIBLE_DEVICES=0,1,2,3\r\nexport HF_HOME=&lt;\u4f60\u7684 Huggingface \u76ee\u5f55\u8def\u5f84&gt;\r\nexport OPENAI_API_KEY=''\r\npython main.py --dataset sample --llm_name meta-llama\/Llama-3.3-70B-Instruct --openie_mode offline --skip_graph\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u540e\u7eed\u64cd\u4f5c<\/strong><br \/>\n\u5b8c\u6210\u540e\uff0c\u56de\u5230\u5728\u7ebf\u6a21\u5f0f\u8fd0\u884c vLLM \u670d\u52a1\u548c\u95ee\u7b54\u6d41\u7a0b\u3002<\/li>\n<\/ol>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u5185\u5b58\u4e0d\u8db3<\/strong>\uff1a\u82e5 GPU \u5185\u5b58\u4e0d\u591f\uff0c\u8c03\u6574\u00a0<code>max_model_len<\/code>\u00a0\u6216\u00a0<code>gpu-memory-utilization<\/code>\u3002<\/li>\n<li><strong>\u8c03\u8bd5<\/strong>\uff1a\u7528\u00a0<code>reproduce\/dataset\/sample.json<\/code>\u00a0\u6d4b\u8bd5\u73af\u5883\u3002<\/li>\n<li><strong>\u6e05\u7406\u6587\u4ef6<\/strong>\uff1a\u91cd\u8dd1\u5b9e\u9a8c\u524d\uff0c\u6e05\u7a7a\u65e7\u6570\u636e\uff1a\n<pre><code>rm -rf outputs\/sample\/*\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>HippoRAG \u662f\u4fc4\u4ea5\u4fc4\u5dde\u7acb\u5927\u5b66 OSU-NLP \u5c0f\u7ec4\u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u7075\u611f\u6765\u6e90\u4e8e\u4eba\u7c7b\u957f\u65f6\u8bb0\u5fc6\u673a\u5236\u3002\u5b83\u7ed3\u5408\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u3001\u77e5\u8bc6\u56fe\u8c31\u548c\u4e2a\u6027\u5316 PageRank \u6280\u672f\uff0c\u5e2e\u52a9\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u4ece\u5916\u90e8\u6587\u6863\u4e2d\u6301\u7eed\u6574\u5408\u77e5\u8bc6\u3002HippoRA&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62013,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,20,459],"tags":[230,243],"class_list":["post-28272","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-tool","category-rag-project","tag-aikaiyuanxiangmu","tag-aizhishikuyukefu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/28272","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=28272"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/28272\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/62013"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=28272"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=28272"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=28272"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}