{"id":1383,"date":"2024-05-08T07:32:15","date_gmt":"2024-05-08T07:32:15","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1383"},"modified":"2024-05-08T07:32:57","modified_gmt":"2024-05-08T07:32:57","slug":"pinggujiansuozengqiangshengchengragtrulens-milvus","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/pinggujiansuozengqiangshengchengragtrulens-milvus.html","title":{"rendered":"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS"},"content":{"rendered":"<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/3168e70ec3aed98fa9a735f8bc74633f.jpeg\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/p>\n<p>\u8bd1\u81ea <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fthenewstack.io%2Fevaluations-for-retrieval-augmented-generation-trulens-milvus%2F\" target=\"_blank\" title=\"https:\/\/thenewstack.io\/evaluations-for-retrieval-augmented-generation-trulens-milvus\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Evaluations for Retrieval Augmented Generation: TruLens + Milvus<\/a> \u3002<\/p>\n<p>\u4e86\u89e3\u5982\u4f55\u6784\u5efa\u5404\u79cd\u914d\u7f6e\u548c\u53c2\u6570\u7684 RAG\uff0c\u5305\u62ec\u7d22\u5f15\u7c7b\u578b\u3001\u5d4c\u5165\u6a21\u578b\u3001top k \u548c chunk \u5927\u5c0f\u53c2\u6570\u3002<\/p>\n<p>\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLM)\u7684\u65e5\u76ca\u666e\u53ca\uff0c\u63a8\u52a8\u4e86\u5411\u91cf\u641c\u7d22\u6280\u672f\u7684\u5174\u8d77\uff0c\u5305\u62ec\u4e13\u4e3a\u6b64\u8bbe\u8ba1\u7684\u5411\u91cf\u6570\u636e\u5e93 Milvus \u548c Zilliz Cloud\uff0c\u5411\u91cf\u641c\u7d22\u5e93\u4f8b\u5982 FAISS\uff0c\u4ee5\u53ca\u4e0e\u4f20\u7edf\u6570\u636e\u5e93\u96c6\u6210\u7684\u5411\u91cf\u641c\u7d22\u63d2\u4ef6\u3002<\/p>\n<p>\u8d8a\u6765\u8d8a\u591a\u5730\uff0c\u5411\u91cf\u641c\u7d22\u5df2\u6210\u4e3a\u751f\u6210\u5f0f AI \u5728\u95ee\u7b54\u5e94\u7528\u4e2d\u7684\u5173\u952e\u4f01\u4e1a\u7528\u4f8b\uff0c\u5373\u6240\u8c13\u7684<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fthenewstack.io%2Fdiscover-the-performance-gain-with-retrieval-augmented-generation%2F\" target=\"_blank\" title=\"https:\/\/thenewstack.io\/discover-the-performance-gain-with-retrieval-augmented-generation\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u201c\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08retrieval augmented generation\uff09\u201d\u6216RAG<\/a>\u3002\u8fd9\u79cd\u6784\u5efa\u65b9\u5f0f\u4f7f LLM \u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u77e5\u8bc6\u5e93\uff0c\u5e76\u5c06\u5176\u7528\u4f5c\u8bed\u5883\u6765\u56de\u7b54\u95ee\u9898\u3002<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fmilvus.io%2F\" target=\"_blank\" title=\"https:\/\/milvus.io\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Milvus<\/a> \u662f\u4e00\u79cd\u9ad8\u5ea6\u53ef\u6269\u5c55\u7684\u5f00\u6e90\u5411\u91cf\u6570\u636e\u5e93\uff0c<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fthenewstack.io%2Fwhat-is-milvus-vector-database%2F\" target=\"_blank\" title=\"https:\/\/thenewstack.io\/what-is-milvus-vector-database\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u4e13\u4e3a\u6b64\u5e94\u7528\u800c\u8bbe\u8ba1<\/a>\u3002<\/p>\n<h2 data-id=\"heading-0\">\u6784\u5efa RAG<\/h2>\n<p>\u5728\u6784\u5efa\u9ad8\u6548\u7684 RAG \u5f0f <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Froadmap.sh%2Fguides%2Fintroduction-to-llms\" target=\"_blank\" title=\"https:\/\/roadmap.sh\/guides\/introduction-to-llms\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">LLM \u5e94\u7528\u7a0b\u5e8f<\/a>\u65f6\uff0c\u6709\u8bb8\u591a\u914d\u7f6e\u9009\u62e9\u53ef\u4f9b\u4f18\u5316\uff0c\u8fd9\u4e9b\u9009\u62e9\u53ef\u4ee5\u663e\u7740\u5f71\u54cd\u68c0\u7d22\u8d28\u91cf\u3002\u8fd9\u4e9b\u9009\u62e9\u5305\u62ec:<\/p>\n<h3 data-id=\"heading-1\">\u6784\u5efa\u5411\u91cf\u6570\u636e\u5e93<\/h3>\n<ul>\n<li>\u6570\u636e\u9009\u62e9<\/li>\n<li>\u5d4c\u5165\u6a21\u578b<\/li>\n<li>\u7d22\u5f15\u7c7b\u578b<\/li>\n<\/ul>\n<p>\u627e\u5230\u9ad8\u8d28\u91cf\u3001\u80fd\u7cbe\u786e\u7b26\u5408\u5e94\u7528\u7a0b\u5e8f\u9700\u6c42\u7684\u6570\u636e\u975e\u5e38\u5173\u952e\u3002\u5982\u679c\u6570\u636e\u4e0d\u591f\u51c6\u786e\uff0c\u68c0\u7d22\u8fc7\u7a0b\u5c31\u53ef\u80fd\u8fd4\u56de\u65e0\u5173\u7684\u7ed3\u679c\u3002<\/p>\n<p>\u9009\u62e9\u597d\u6570\u636e\u4e4b\u540e\uff0c\u8981\u8003\u8651\u4f7f\u7528\u7684\u5d4c\u5165\u6a21\u578b\uff0c\u56e0\u4e3a\u5b83\u5bf9\u68c0\u7d22\u8d28\u91cf\u6709\u5f88\u5927\u5f71\u54cd\u3002\u5373\u4f7f\u77e5\u8bc6\u5e93\u5305\u542b\u4e86\u6b63\u786e\u7684\u4fe1\u606f\uff0c\u5982\u679c\u5d4c\u5165\u6a21\u578b\u65e0\u6cd5\u5bf9\u9886\u57df\u5185\u5bb9\u8fdb\u884c\u8bed\u4e49\u7406\u89e3\uff0c\u68c0\u7d22\u5668\u4e5f\u53ef\u80fd\u7ed9\u51fa\u9519\u8bef\u7684\u7ed3\u679c\u3002<\/p>\n<p>\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u662f\u8861\u91cf\u68c0\u7d22\u8d28\u91cf\u7684\u4e00\u4e2a\u6709\u7528\u6307\u6807\uff0c\u8fd9\u4e9b\u9009\u62e9\u6781\u5927\u5730\u5f71\u54cd\u4e86\u5b83\u3002<\/p>\n<p>\u6700\u540e\uff0c\u7d22\u5f15\u7c7b\u578b\u53ef\u4ee5\u663e\u8457\u5f71\u54cd\u8bed\u4e49\u641c\u7d22\u7684\u6548\u7387\u3002\u8fd9\u5bf9\u5927\u578b\u6570\u636e\u96c6\u5c24\u5176\u91cd\u8981\uff1b\u8be5\u9009\u62e9\u5141\u8bb8\u60a8\u5728\u53ec\u56de\u7387\u3001\u901f\u5ea6\u548c\u8d44\u6e90\u9700\u6c42\u4e4b\u95f4\u8fdb\u884c\u6743\u8861\u3002Milvus\u652f\u6301\u591a\u79cd\u7d22\u5f15\u7c7b\u578b\uff0c\u6bd4\u5982\u5e73\u9762\u7d22\u5f15\u3001\u57fa\u4e8e\u4ea7\u54c1\u91cf\u5316\u7684\u7d22\u5f15\u548c\u57fa\u4e8e\u56fe\u7684\u7d22\u5f15\u3002\u60a8\u53ef\u4ee5\u9605\u8bfb\u66f4\u591a\u5173\u4e8e<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fmilvus.io%2Fdocs%2Findex.md\" target=\"_blank\" title=\"https:\/\/milvus.io\/docs\/index.md\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u4e0d\u540c\u7d22\u5f15\u7c7b\u578b<\/a>\u7684\u4fe1\u606f\u3002<\/p>\n<h3 data-id=\"heading-2\">\u68c0\u7d22<\/h3>\n<ul>\n<li>\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u6570\u91cf(\u524d k \u4e2a)<\/li>\n<li>\u5206\u5757\u5927\u5c0f<\/li>\n<\/ul>\n<p>\u5f53\u8fdb\u884c\u68c0\u7d22\u65f6\uff0c\u524d k \u4e2a\u662f\u7ecf\u5e38\u8ba8\u8bba\u7684\u4e00\u4e2a\u53c2\u6570\uff0c\u5b83\u63a7\u5236\u68c0\u7d22\u5230\u7684\u4e0a\u4e0b\u6587\u5206\u5757\u6570\u91cf\u3002\u66f4\u9ad8\u7684\u524d k \u4e2a\u63d0\u4f9b\u66f4\u9ad8\u673a\u4f1a\u68c0\u7d22\u5230\u6240\u9700\u4fe1\u606f\uff0c\u4e5f\u589e\u52a0\u8bed\u8a00\u6a21\u578b\u878d\u5165\u4e0d\u76f8\u5173\u4fe1\u606f\u5230\u5176\u56de\u7b54\u4e2d\u7684\u53ef\u80fd\u6027\u3002\u5bf9\u7b80\u5355\u95ee\u9898\u800c\u8a00\uff0c\u8f83\u4f4e\u7684\u524d k \u4e2a\u901a\u5e38\u6027\u80fd\u6700\u4f73\u3002<\/p>\n<p>\u5206\u5757\u5927\u5c0f\u63a7\u5236\u6bcf\u4e2a\u68c0\u7d22\u4e0a\u4e0b\u6587\u7684\u5927\u5c0f\u3002\u5bf9\u66f4\u590d\u6742\u95ee\u9898\u800c\u8a00\uff0c\u8f83\u5927\u5206\u5757\u5927\u5c0f\u53ef\u80fd\u66f4\u6709\u5e2e\u52a9\uff0c\u800c\u7b80\u5355\u95ee\u9898\u53ea\u9700\u8981\u5f88\u5c0f\u4e00\u90e8\u5206\u4fe1\u606f\u5373\u53ef\u56de\u7b54\uff0c\u8f83\u5c0f\u5206\u5757\u5c31\u8db3\u591f\u4e86\u3002<\/p>\n<p>\u5bf9\u8fd9\u4e9b\u9009\u62e9\u5927\u591a\u6570\u60c5\u51b5\uff0c\u5e76\u65e0\u4e00\u5200\u5207\u7684\u89e3\u51b3\u65b9\u6848\u3002\u6027\u80fd\u53ef\u80fd\u56e0\u6570\u636e\u89c4\u6a21\u548c\u7c7b\u578b\u3001\u4f7f\u7528\u7684\u8bed\u8a00\u6a21\u578b\u3001\u60a8\u7684\u5e94\u7528\u7b49\u800c\u5927\u76f8\u5f84\u5ead\u3002\u6211\u4eec\u9700\u8981\u8bc4\u4f30\u5de5\u5177\u6765\u8bc4\u4f30\u8fd9\u4e9b\u68c0\u7d22\u5728\u6211\u4eec\u5177\u4f53\u7528\u4f8b\u4e2d\u7684\u8d28\u91cf\u3002\u8fd9\u5c31\u662f TruLens \u7684\u7528\u6b66\u4e4b\u5730\u3002<\/p>\n<h2 data-id=\"heading-3\">TruLens \u7528\u4e8e\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u8ddf\u8e2a\u548c\u8bc4\u4f30<\/h2>\n<p>TruLens\u662f\u4e00\u4e2a\u5f00\u6e90\u5e93\uff0c\u7528\u4e8e\u8bc4\u4f30\u548c\u8ddf\u8e2a\u8bed\u8a00\u6a21\u578b\u5e94\u7528(\u5982RAG)\u7684\u6027\u80fd\u3002\u901a\u8fc7TruLens\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u5229\u7528\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u6765\u8bc4\u4f30\u8f93\u51fa\u3001\u68c0\u7d22\u8d28\u91cf\u7b49\u3002<\/p>\n<p>\u6784\u5efa\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u65f6\uff0c\u591a\u6570\u4eba\u6700\u5173\u5fc3\u7684\u95ee\u9898\u662f\u5e7b\u60f3\u3002RAG \u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u901a\u8fc7\u4e3a\u8bed\u8a00\u6a21\u578b\u63d0\u4f9b\u68c0\u7d22\u4e0a\u4e0b\u6587\u6765\u786e\u4fdd\u51c6\u786e\u4fe1\u606f\uff0c\u4f46\u65e0\u6cd5\u767e\u5206\u767e\u4fdd\u8bc1\u3002\u56e0\u6b64\u8bc4\u4f30\u5bf9\u9a8c\u8bc1\u5e94\u7528\u4e2d<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fthenewstack.io%2Fhow-to-reduce-the-hallucinations-from-large-language-models%2F\" target=\"_blank\" title=\"https:\/\/thenewstack.io\/how-to-reduce-the-hallucinations-from-large-language-models\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u4e0d\u5b58\u5728\u5e7b\u60f3<\/a>\u81f3\u5173\u91cd\u8981\u3002TruLens \u63d0\u4f9b\u4e86\u4e09\u9879\u6d4b\u8bd5\uff1a\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u3001\u51c6\u786e\u6027\u548c\u7b54\u6848\u76f8\u5173\u5ea6\u3002\u8ba9\u6211\u4eec\u9010\u4e00\u67e5\u770b\uff0c\u4ee5\u4e86\u89e3\u5b83\u4eec\u7684\u76ca\u5904\u3002<\/p>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2Fd0a428ac33d88ed45f348e44c145e839acd011f053736d55232b92b980ffc643%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f34663766383335622d696d61676531612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/d0a428ac33d88ed45f348e44c145e839acd011f053736d55232b92b980ffc643\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f34663766383335622d696d61676531612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/d0a428ac33d88ed45f348e44c145e839acd011f053736d55232b92b980ffc643\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f34663766383335622d696d61676531612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<h3 data-id=\"heading-4\">\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6<\/h3>\n<p>\u4efb\u4f55 RAG \u5e94\u7528\u7b2c\u4e00\u6b65\u662f\u68c0\u7d22\uff1b\u4e3a\u9a8c\u8bc1\u68c0\u7d22\u8d28\u91cf\uff0c\u6211\u4eec\u8981\u786e\u4fdd\u6bcf\u4e2a\u4e0a\u4e0b\u6587\u5757\u4e0e\u8f93\u5165\u67e5\u8be2\u76f8\u5173\u3002\u8fd9\u975e\u5e38\u5173\u952e\uff0c\u56e0\u4e3a\u8bed\u8a00\u6a21\u578b\u5c06\u4f7f\u7528\u8be5\u4e0a\u4e0b\u6587\u751f\u6210\u7b54\u6848\uff0c\u6240\u4ee5\u4e0a\u4e0b\u6587\u4e2d\u7684\u4efb\u4f55\u4e0d\u76f8\u5173\u4fe1\u606f\u90fd\u53ef\u80fd\u88ab\u7f16\u7ec7\u6210\u5e7b\u60f3\u3002<\/p>\n<h3 data-id=\"heading-5\">\u51c6\u786e\u6027<\/h3>\n<p>\u5728\u68c0\u7d22\u4e0a\u4e0b\u6587\u540e\uff0c\u5b83\u88ab\u8bed\u8a00\u6a21\u578b\u5f62\u6210\u7b54\u6848\u3002\u8bed\u8a00\u6a21\u578b\u5f80\u5f80\u504f\u79bb\u63d0\u4f9b\u7684\u4e8b\u5b9e\uff0c\u5bf9\u6b63\u786e\u7684\u7b54\u6848\u8fdb\u884c\u5938\u5f20\u6216\u6269\u5c55\u3002\u4e3a\u9a8c\u8bc1\u5e94\u7528\u7684\u51c6\u786e\u6027\uff0c\u6211\u4eec\u5e94\u5c06\u56de\u590d\u5206\u4e3a\u72ec\u7acb\u8bed\u53e5\uff0c\u5e76\u5728\u68c0\u7d22\u4e0a\u4e0b\u6587\u4e2d\u72ec\u7acb\u67e5\u8bc1\u6bcf\u4e2a\u8bed\u53e5\u7684\u8bc1\u636e\u652f\u6301\u3002<\/p>\n<h3 data-id=\"heading-6\">\u7b54\u6848\u76f8\u5173\u5ea6<\/h3>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u7684\u56de\u590d\u4ecd\u987b\u6709\u52a9\u4e8e\u56de\u7b54\u539f\u59cb\u95ee\u9898\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bc4\u4f30\u6700\u7ec8\u56de\u590d\u4e0e\u7528\u6237\u8f93\u5165\u7684\u76f8\u5173\u5ea6\u6765\u9a8c\u8bc1\u8fd9\u4e00\u70b9\u3002<\/p>\n<h2 data-id=\"heading-7\">\u65e0\u5e7b\u60f3 RAG<\/h2>\n<p>\u901a\u8fc7\u5bf9\u4e0a\u8ff0\u4e09\u9879\u8fbe\u5230\u6ee1\u610f\u7684\u8bc4\u4f30\uff0c\u6211\u4eec\u53ef\u4ee5\u5bf9\u5e94\u7528\u7684\u6b63\u786e\u6027\u505a\u51fa\u7ec6\u5fae\u9648\u8ff0\uff1b\u5b83\u5728\u77e5\u8bc6\u5e93\u9650\u5ea6\u5185\u7ecf\u9a8c\u8bc1\u65e0\u5e7b\u60f3\u3002\u6362\u8a00\u4e4b\uff0c\u5982\u679c\u5411\u91cf\u6570\u636e\u5e93\u4ec5\u5305\u542b\u51c6\u786e\u4fe1\u606f\uff0c\u5219 RAG \u63d0\u4f9b\u7684\u7b54\u6848\u4e5f\u51c6\u786e\u3002<\/p>\n<h2 data-id=\"heading-8\">\u5177\u4f53\u6848\u4f8b<\/h2>\n<p>\u5982\u524d\u6240\u8ff0\uff0c\u6211\u4eec\u7684 RAG \u8bb8\u591a\u914d\u7f6e\u9009\u62e9\u53ef\u80fd\u5bf9\u5e7b\u60f3\u6709\u91cd\u5927\u5f71\u54cd\u3002\u4e3a\u8bf4\u660e\u8fd9\u70b9\uff0c\u6211\u4eec\u57fa\u4e8e\u5c11\u91cf\u57ce\u5e02\u7ef4\u57fa\u767e\u79d1\u6587\u7ae0\u6784\u5efa\u95ee\u7b54 RAG \u5e94\u7528\u3002LlamaIndex \u4f5c\u4e3a\u8be5\u5e94\u7528\u7684\u6846\u67b6\u3002<\/p>\n<p>\u5728 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcolab.research.google.com%2Fgithub%2Ftruera%2Ftrulens%2Fblob%2Fmain%2Ftrulens_eval%2Fexamples%2Fexpositional%2Fvector-dbs%2Fmilvus%2Fmilvus_evals_build_better_rags.ipynb\" target=\"_blank\" title=\"https:\/\/colab.research.google.com\/github\/truera\/trulens\/blob\/main\/trulens_eval\/examples\/expositional\/vector-dbs\/milvus\/milvus_evals_build_better_rags.ipynb\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Google Colab<\/a> \u4e2d\u67e5\u770b\u6b64\u6848\u4f8b\u3002<\/p>\n<h2 data-id=\"heading-9\">\u4ece\u7ef4\u57fa\u767e\u79d1\u52a0\u8f7d\u6570\u636e<\/h2>\n<p>\u8981\u6784\u5efa\u5411\u91cf\u5b58\u50a8\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u52a0\u8f7d\u6570\u636e\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528 LlamaIndex \u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5668\u76f4\u63a5\u4ece\u7ef4\u57fa\u767e\u79d1\u52a0\u8f7d\u6570\u636e\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">python<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-python code-block-extension-codeShowNum\" lang=\"python\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-keyword\">from<\/span> llama_index <span class=\"hljs-keyword\">import<\/span> WikipediaReader<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">cities = [<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">  <span class=\"hljs-string\">\"Los Angeles\"<\/span>, <span class=\"hljs-string\">\"Houston\"<\/span>, <span class=\"hljs-string\">\"Honolulu\"<\/span>, <span class=\"hljs-string\">\"Tucson\"<\/span>, <span class=\"hljs-string\">\"Mexico City\"<\/span>,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\">  <span class=\"hljs-string\">\"Cincinnati\"<\/span>, <span class=\"hljs-string\">\"Chicago\"<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\">]<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\">wiki_docs = []<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\"><span class=\"hljs-keyword\">for<\/span> city <span class=\"hljs-keyword\">in<\/span> cities:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\">  <span class=\"hljs-keyword\">try<\/span>:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"13\">    doc = WikipediaReader().load_data(pages=[city])<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"14\">    wiki_docs.extend(doc)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"15\">  <span class=\"hljs-keyword\">except<\/span> Exception <span class=\"hljs-keyword\">as<\/span> e:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"16\">    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f\"Error loading page for city <span class=\"hljs-subst\">{city}<\/span>: <span class=\"hljs-subst\">{e}<\/span>\"<\/span>)<\/span>\n<\/code><\/pre>\n<h2 data-id=\"heading-10\">\u8bbe\u7f6e\u8bc4\u4f30\u5668<\/h2>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8bbe\u7f6e\u8bc4\u4f30\u5668\uff0c\u5177\u4f53\u4f7f\u7528\u524d\u9762\u63d0\u5230\u7684\u4e09\u9879\u68c0\u67e5\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u3001\u51c6\u786e\u6027\u548c\u7b54\u6848\u76f8\u5173\u5ea6\u4ee5\u6d4b\u8bd5\u5e7b\u60f3\u3002<\/p>\n<p>TruLens\u63d0\u4f9b\u4e00\u7ec4\u4f7f\u7528\u7279\u5b9a\u6a21\u578b\u63d0\u4f9b\u8005(\u5982OpenAI\u3001Anthropic\u6216HuggingFace)\u7684\u63d0\u793a\u8bc4\u4f30\u5668\u6216\u53cd\u9988\u529f\u80fd\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-comment\"># \u521d\u59cb\u5316\u57fa\u4e8e OpenAI \u7684\u53cd\u9988\u529f\u80fd\u96c6\u5408\u7c7b:<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">openai_gpt4<\/span> = feedback.OpenAI()<\/span>\n<\/code><\/pre>\n<p>\u8bbe\u7f6e\u6a21\u578b\u63d0\u4f9b\u8005\u540e\uff0c\u6211\u4eec\u9009\u62e9\u67e5\u8be2\u8bed\u53e5\u76f8\u5173\u5ea6\u4f5c\u4e3a\u7b2c\u4e00\u4e2a\u8bc4\u4f30\u3002 \u5bf9\u4e8e\u6bcf\u4e2a\u8bc4\u4f30\uff0c\u6211\u4eec\u8fd8\u4f7f\u7528\u601d\u7ef4\u94fe\u53cd\u9988\u539f\u56e0\u66f4\u597d\u5730\u7406\u89e3\u3002\u8fd9\u7528\u53cd\u9988\u529f\u80fd\u540e\u7f00 <code>1_with_cot_reason<\/code> \u8868\u793a\u3002<\/p>\n<p>\u6b64\u65f6\uff0c\u6211\u4eec\u8fd8\u9700\u9009\u62e9\u54ea\u4e9b\u6587\u672c\u4f20\u9012\u7ed9\u53cd\u9988\u529f\u80fd\u3002TruLens \u5e8f\u5217\u5316\u5e94\u7528\uff0c\u7136\u540e\u7531\u7c7b JSON \u7ed3\u6784\u7d22\u5f15\u3002\u6211\u4eec\u4f7f\u7528\u6b64\u7d22\u5f15\u6587\u672c\u9009\u62e9\u3002TruLens \u63d0\u4f9b\u5e2e\u52a9\u51fd\u6570\u7b80\u5316\u6b64\u64cd\u4f5c:<\/p>\n<ul>\n<li><code>on_input()<\/code> \u81ea\u52a8\u627e\u5230\u4f20\u7ed9 LlamaIndex \u5e94\u7528\u7684\u4e3b\u8f93\u5165\uff0c\u4f5c\u4e3a\u4f20\u7ed9\u53cd\u9988\u529f\u80fd\u7684\u7b2c\u4e00\u4e2a\u6587\u672c\u3002<\/li>\n<li><code>TruLlama.select_source_nodes()<\/code> \u6807\u8bc6 LlamaIndex \u68c0\u7d22\u4e2d\u4f7f\u7528\u7684\u6e90\u8282\u70b9\u3002<\/li>\n<\/ul>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u6bcf\u4e2a\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u805a\u5408\u4e3a\u5355\u4e00\u5206\u6570\u3002\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u6700\u5927\u503c\u8861\u91cf\u6700\u76f8\u5173\u5757\u7684\u76f8\u5173\u5ea6\u3002\u4e5f\u53ef\u4f7f\u7528\u5176\u4ed6\u6307\u6807\u5982\u5e73\u5747\u503c\u6216\u6700\u5c0f\u503c\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-comment\"># \u95ee\u9898\/\u8bed\u53e5\u4e4b\u95f4\u7684\u76f8\u5173\u5ea6\u4e0e\u6bcf\u4e2a\u4e0a\u4e0b\u6587\u5757\u3002<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">f_context_relevance<\/span> = Feedback(openai.qs_relevance_with_cot_reason, name = <span class=\"hljs-string\">\"Context Relevance\"<\/span>).<span class=\"hljs-literal\">on<\/span>_input().<span class=\"hljs-literal\">on<\/span>(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  TruLlama.select_source_nodes().node.text<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">).aggregate(np.max)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><\/span>\n<\/code><\/pre>\n<p>\u51c6\u786e\u6027\u8bbe\u7f6e\u7c7b\u4f3c\uff0c\u805a\u5408\u7565\u6709\u4e0d\u540c\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u53d6\u6bcf\u4e2a\u8bed\u53e5\u7684\u6700\u5927\u51c6\u786e\u5ea6\u5206\u6570\uff0c\u7136\u540e\u5404\u8bed\u53e5\u7684\u5e73\u5747\u51c6\u786e\u5ea6\u5206\u6570\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-attr\">grounded<\/span> = Groundedness(groundedness_provider=openai_gpt4)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">f_groundedness<\/span> = Feedback(grounded.groundedness_measure_with_cot_reason, name = <span class=\"hljs-string\">\"Groundedness\"<\/span>).<span class=\"hljs-literal\">on<\/span>(<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  TruLlama.select_source_nodes().node.text <span class=\"hljs-comment\"># context<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">).on_output().aggregate(grounded.grounded_statements_aggregator)<\/span>\n<\/code><\/pre>\n<p>\u7b54\u6848\u76f8\u5173\u5ea6\u662f\u6700\u7b80\u5355\u7684\u53cd\u9988\u529f\u80fd\u8bbe\u7f6e\uff0c\u56e0\u5176\u4ec5\u4f9d\u8d56\u8f93\u5165\/\u8f93\u51fa\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u65b0\u7684 TruLens \u5e2e\u52a9\u51fd\u6570 &#8211; .on_input_output()\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-comment\"># \u95ee\u9898\u4e0e\u7b54\u6848\u6574\u4f53\u76f8\u5173\u5ea6\u3002<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">f_qa_relevance<\/span> = Feedback(openai.relevance_with_cot_reason,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><span class=\"hljs-attr\">name<\/span> = <span class=\"hljs-string\">\"Answer Relevance\"<\/span>).<span class=\"hljs-literal\">on<\/span>_input_output()<\/span>\n<\/code><\/pre>\n<h2 data-id=\"heading-11\">\u5b9a\u4e49\u914d\u7f6e\u7a7a\u95f4<\/h2>\n<p>\u73b0\u5728\u6211\u4eec\u5df2\u52a0\u8f7d\u6570\u636e\u548c\u8bbe\u7f6e\u8bc4\u4f30\u5668\uff0c\u662f\u65f6\u5019\u6784\u5efa\u6211\u4eec\u7684 RAG\u3002\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u6784\u5efa\u4e00\u7cfb\u5217\u5177\u6709\u4e0d\u540c\u914d\u7f6e\u7684 RAG\uff0c\u8bc4\u4f30\u6bcf\u4e2a\u5e76\u9009\u62e9\u6700\u4f73\u914d\u7f6e\u3002<\/p>\n<p>\u5982\u524d\u6240\u8ff0\uff0c\u6211\u4eec\u5c06\u914d\u7f6e\u7a7a\u95f4\u9650\u5236\u5728 RAG \u4e00\u4e9b\u91cd\u8981\u9009\u62e9\u4e0a\u3002\u6211\u4eec\u5728\u6b64\u6848\u4f8b\u4e2d\u6d4b\u8bd5\u7d22\u5f15\u7c7b\u578b\u3001\u5d4c\u5165\u6a21\u578b\u3001\u524d k \u4e2a\u548c\u5757\u5927\u5c0f;\u4e0d\u8fc7\uff0c\u5efa\u8bae\u60a8\u6d4b\u8bd5\u5176\u4ed6\u914d\u7f6e\uff0c\u5982\u4e0d\u540c\u8ddd\u79bb\u6307\u6807\u548c\u641c\u7d22\u53c2\u6570\u3002<\/p>\n<h2 data-id=\"heading-12\">\u8fed\u4ee3\u6211\u4eec\u7684\u9009\u62e9<\/h2>\n<p>\u5b9a\u4e49\u914d\u7f6e\u7a7a\u95f4\u540e\uff0c\u6211\u4eec\u7528 itertools \u5c1d\u8bd5\u6bcf\u79cd\u7ec4\u5408\u5e76\u8bc4\u4f30\u3002\u6b64\u5916\uff0cMilvus \u8986\u76d6\u53c2\u6570\u63d0\u4f9b\u4e86\u4f18\u52bf\uff0c\u4f7f\u6211\u4eec\u53ef\u8f7b\u677e\u8fed\u4ee3\u4e0d\u540c\u914d\u7f6e\uff0c\u800c\u4e0d\u9700\u5176\u4ed6\u5411\u91cf\u6570\u636e\u5e93\u53ef\u80fd\u9700\u8981\u7684\u7f13\u6162\u62c6\u5378\u548c\u5b9e\u4f8b\u5316\u8fc7\u7a0b\u3002<\/p>\n<p>\u6bcf\u6b21\u8fed\u4ee3\uff0c\u6211\u4eec\u5c06\u7d22\u5f15\u53c2\u6570\u9009\u62e9\u4f20\u7ed9 MilvusVectorStore \u548c\u4f7f\u7528\u5b58\u50a8\u4e0a\u4e0b\u6587\u7684\u5e94\u7528\u3002\u6211\u4eec\u5c06\u5d4c\u5165\u6a21\u578b\u4f20\u7ed9\u670d\u52a1\u4e0a\u4e0b\u6587\uff0c\u7136\u540e\u521b\u5efa\u7d22\u5f15\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-attr\">vector_store<\/span> = MilvusVectorStore(index_params={<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\">  \"index_type\": index_param,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  \"metric_type\": \"L2\"<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">},<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\"><span class=\"hljs-attr\">search_params<\/span>={<span class=\"hljs-string\">\"nprobe\"<\/span>: <span class=\"hljs-number\">20<\/span>},<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\"><span class=\"hljs-attr\">overwrite<\/span>=<span class=\"hljs-literal\">True<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\"><span class=\"hljs-attr\">llm<\/span> = OpenAI(model=<span class=\"hljs-string\">\"gpt-3.5-turbo\"<\/span>)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\"><span class=\"hljs-attr\">storage_context<\/span> = StorageContext.from_defaults(vector_store = vector_store)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"9\"><span class=\"hljs-attr\">service_context<\/span> = ServiceContext.from_defaults(embed_model = embed_model, llm = llm, chunk_size = chunk_size)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"10\"><span class=\"hljs-attr\">index<\/span> = VectorStoreIndex.from_documents(wiki_docs,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"11\"><span class=\"hljs-attr\">service_context<\/span>=service_context,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"12\"><span class=\"hljs-attr\">storage_context<\/span>=storage_context)<\/span>\n<\/code><\/pre>\n<p>\u7136\u540e\uff0c\u6211\u4eec\u53ef\u7528\u8be5\u7d22\u5f15\u6784\u5efa\u67e5\u8be2\u5f15\u64ce \u2014\u2014 \u5b9a\u4e49 <code>top_k<\/code>:<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-attr\">query_engine<\/span> = index.as_query_engine(similarity_top_k = top_k)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><\/span>\n<\/code><\/pre>\n<p>\u6784\u5efa\u540e\uff0c\u6211\u4eec\u7528 TruLens \u5305\u88c5\u5e94\u7528\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u7ed9\u5176\u6613\u8bc6\u522b\u540d\u79f0\uff0c\u5c06\u914d\u7f6e\u8bb0\u5f55\u4e3a\u5e94\u7528\u5143\u6570\u636e\uff0c\u5e76\u5b9a\u4e49\u53cd\u9988\u529f\u80fd\u7528\u4e8e\u8bc4\u4f30\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">ini<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-ini code-block-extension-codeShowNum\" lang=\"ini\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-attr\">tru_query_engine<\/span> = TruLlama(query_engine,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-attr\">app_id<\/span>=f<span class=\"hljs-string\">\"App-{index_param}-{embed_model_name}-{top_k}\"<\/span>, <\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\"><span class=\"hljs-attr\">feedbacks<\/span>=[f_groundedness, f_qa_relevance, f_context_relevance],<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\"><span class=\"hljs-attr\">metadata<\/span>={<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">  'index_param':index_param,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"6\">  'embed_model':embed_model_name,<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"7\">  'top_k':top_k<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"8\">})<\/span>\n<\/code><\/pre>\n<p>\u8fd9\u4e2a <code>tru_query_engine<\/code> \u5c06\u50cf\u539f\u67e5\u8be2\u5f15\u64ce\u4e00\u6837\u8fd0\u884c\u3002<\/p>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u5c11\u91cf\u6d4b\u8bd5\u63d0\u793a\u8fdb\u884c\u8bc4\u4f30\uff0c\u8c03\u7528\u5e94\u7528\u54cd\u5e94\u6bcf\u4e2a\u63d0\u793a\u3002\u7531\u4e8e\u6211\u4eec\u5feb\u901f\u8fde\u7eed\u8c03\u7528 OpenAI API\uff0cTenacity \u53ef\u5e2e\u52a9\u6211\u4eec\u901a\u8fc7\u6307\u6570\u56de\u9000\u907f\u514d\u901f\u7387\u9650\u5236\u95ee\u9898\u3002<\/p>\n<pre><\/div><div class=\"code-block-extension-headerRight\"><span class=\"code-block-extension-lang\">python<\/span><div class=\"code-block-extension-copyCodeBtn\">\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div><code class=\"hljs language-python code-block-extension-codeShowNum\" lang=\"python\"><span class=\"code-block-extension-codeLine\" data-line-num=\"1\"><span class=\"hljs-meta\">@retry(<span class=\"hljs-params\">stop=stop_after_attempt(<span class=\"hljs-params\"><span class=\"hljs-number\">10<\/span><\/span>), wait=wait_exponential(<span class=\"hljs-params\">multiplier=<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-built_in\">min<\/span>=<span class=\"hljs-number\">4<\/span>, <span class=\"hljs-built_in\">max<\/span>=<span class=\"hljs-number\">10<\/span><\/span>)<\/span>)<\/span><\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"2\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">call_tru_query_engine<\/span>(<span class=\"hljs-params\">prompt<\/span>):<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"3\">  <span class=\"hljs-keyword\">return<\/span> tru_query_engine.query(prompt)<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"4\">  <span class=\"hljs-keyword\">for<\/span> prompt <span class=\"hljs-keyword\">in<\/span> test_prompts:<\/span>\n<span class=\"code-block-extension-codeLine\" data-line-num=\"5\">    call_tru_query_engine(prompt)<\/span>\n<\/code><\/pre>\n<h2 data-id=\"heading-13\">\u7ed3\u679c<\/h2>\n<p><strong>\u54ea\u79cd\u914d\u7f6e\u8868\u73b0\u6700\u4f73\uff1f<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<table><thead><tr><th>\u7d22\u5f15\u7c7b\u578b<\/th><th>\u5d4c\u5165\u6a21\u578b<\/th><th>\u76f8\u4f3c\u5ea6\u524d k \u4e2a<\/th><th>\u5757\u5927\u5c0f<\/th><\/tr><\/thead><tbody><tr><td>IVF Flat<\/td><td>text-embedding-ada-002<\/td><td>3<\/td><td>200<\/td><\/tr><\/tbody><\/table>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F177813e36ee210e96850a8ac611b2ff988873e5b22cb2f81167c3fa7ee075780%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f33373864326230652d696d61676532612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/177813e36ee210e96850a8ac611b2ff988873e5b22cb2f81167c3fa7ee075780\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f33373864326230652d696d61676532612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/177813e36ee210e96850a8ac611b2ff988873e5b22cb2f81167c3fa7ee075780\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f33373864326230652d696d61676532612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<p><strong>\u54ea\u79cd\u914d\u7f6e\u8868\u73b0\u6700\u5dee\uff1f<\/strong><\/p>\n<p>\u8fd9\u91cc\u662f\u66f4\u65b0\u540e\u7684\u8868\u683c:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<table><thead><tr><th>\u7d22\u5f15\u7c7b\u578b<\/th><th>\u5d4c\u5165\u6a21\u578b<\/th><th>\u76f8\u4f3c\u5ea6\u524d k \u4e2a<\/th><th>\u5757\u5927\u5c0f<\/th><\/tr><\/thead><tbody><tr><td>IVF Flat<\/td><td>Multilingual MiniLM L12 v2<\/td><td>1<\/td><td>500<\/td><\/tr><\/tbody><\/table>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F9dcc50500679287a9b58ca6d4538cadfed79af2da990bdc229ed56532e02ca0e%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f61396530623931392d696d61676533612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/9dcc50500679287a9b58ca6d4538cadfed79af2da990bdc229ed56532e02ca0e\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f61396530623931392d696d61676533612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/9dcc50500679287a9b58ca6d4538cadfed79af2da990bdc229ed56532e02ca0e\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f61396530623931392d696d61676533612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<p><strong>\u8bc6\u522b\u51fa\u54ea\u4e9b\u5931\u8d25\u6a21\u5f0f\uff1f<\/strong><\/p>\n<p>\u6211\u4eec\u89c2\u5bdf\u5230\u4e00\u79cd\u5931\u8d25\u6a21\u5f0f\u662f\u68c0\u7d22\u5230\u9519\u8bef\u57ce\u5e02\u4fe1\u606f\u3002\u60a8\u53ef\u4ee5\u4ece\u4e0b\u9762\u7684\u601d\u7ef4\u94fe\u53cd\u9988\u539f\u56e0\u4e2d\u770b\u5230\uff0c\u5176\u4e2d\u68c0\u7d22\u5230\u4e86 Tucson \u800c\u4e0d\u662f Houston \u7684\u4e0a\u4e0b\u6587\u3002<\/p>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F7762fed6f900477cbcafa5a6bc071622de4e24aa6ce2adec1f9a1a52be56d547%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f36353438393438382d696d61676534612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/7762fed6f900477cbcafa5a6bc071622de4e24aa6ce2adec1f9a1a52be56d547\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f36353438393438382d696d61676534612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/7762fed6f900477cbcafa5a6bc071622de4e24aa6ce2adec1f9a1a52be56d547\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f36353438393438382d696d61676534612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<p>\u540c\u6837\uff0c\u6211\u4eec\u4e5f\u9047\u5230\u5173\u4e8e\u6b63\u786e\u57ce\u5e02\u4f46\u4e0e\u8f93\u5165\u95ee\u9898\u4e0d\u76f8\u5173\u7684\u4e0a\u4e0b\u6587\u88ab\u68c0\u7d22\u7684\u95ee\u9898\u3002<\/p>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F58069d6190848c5618c0a49afcdbcf52fe7de2f130ed0daa7346218fcc146c76%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f35396433313565622d696d61676535612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/58069d6190848c5618c0a49afcdbcf52fe7de2f130ed0daa7346218fcc146c76\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f35396433313565622d696d61676535612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/58069d6190848c5618c0a49afcdbcf52fe7de2f130ed0daa7346218fcc146c76\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f35396433313565622d696d61676535612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<p>\u5728\u8fd9\u79cd\u4e0d\u76f8\u5173\u4e0a\u4e0b\u6587\u4e0b\uff0c\u8bed\u8a00\u6a21\u578b\u5f00\u59cb\u5e7b\u60f3\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u5e7b\u60f3\u4e0d\u4e00\u5b9a\u4e0e\u4e8b\u5b9e\u4e0a\u9519\u8bef\uff1b\u5b83\u4ec5\u6307\u6a21\u578b\u5728\u65e0\u8bc1\u636e\u652f\u6301\u4e0b\u4f5c\u7b54\u3002<\/p>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F9d1d38877e3bdd48760360d9d528bf9875109bd7bf5ac4e0725b25df317e483d%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f66366430616630322d696d61676536612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/9d1d38877e3bdd48760360d9d528bf9875109bd7bf5ac4e0725b25df317e483d\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f66366430616630322d696d61676536612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/9d1d38877e3bdd48760360d9d528bf9875109bd7bf5ac4e0725b25df317e483d\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f66366430616630322d696d61676536612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<p>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u53d1\u73b0\u4e0d\u76f8\u5173\u7b54\u6848\u7684\u4f8b\u5b50\u3002<\/p>\n<p><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fcamo.githubusercontent.com%2F8c6a083eb23bb48de276d53b1234ee023839fef408b54d3b1770ae8ee6db587a%2F68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f32663033643038362d696d61676537612e706e67\" target=\"_blank\" title=\"https:\/\/camo.githubusercontent.com\/8c6a083eb23bb48de276d53b1234ee023839fef408b54d3b1770ae8ee6db587a\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f32663033643038362d696d61676537612e706e67\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/8c6a083eb23bb48de276d53b1234ee023839fef408b54d3b1770ae8ee6db587a\/68747470733a2f2f63646e2e7468656e6577737461636b2e696f2f6d656469612f323032332f31302f32663033643038362d696d61676537612e706e67\" alt=\"\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\uff1aTRULENS + MILVUS\" \/><\/figure>\n<\/a><\/p>\n<h2 data-id=\"heading-14\">\u7406\u89e3\u6027\u80fd<\/h2>\n<h3 data-id=\"heading-15\">\u6309\u7d22\u5f15\u7c7b\u578b<\/h3>\n<p>\u672c\u4f8b\u4e2d\uff0c\u7d22\u5f15\u7c7b\u578b\u5bf9\u901f\u5ea6\u3001\u6807\u8bb0\u4f7f\u7528\u6216\u8bc4\u4f30\u6ca1\u6709\u660e\u663e\u5f71\u54cd\u3002\u8fd9\u53ef\u80fd\u56e0\u4e3a\u6570\u636e\u91cf\u8f83\u5c0f\u3002\u7d22\u5f15\u7c7b\u578b\u5bf9\u8f83\u5927\u8bed\u6599\u5e93\u53ef\u80fd\u66f4\u91cd\u8981\u3002<\/p>\n<h3 data-id=\"heading-16\">\u6309\u5d4c\u5165\u6a21\u578b<\/h3>\n<p>text-embedding-ada-002 \u5728\u51c6\u786e\u6027(\u5e73\u57470.72\u5bf9\u6bd40.60)\u548c\u7b54\u6848\u76f8\u5173\u5ea6(\u5e73\u57470.82\u5bf9\u6bd40.62)\u4e0a\u4f18\u4e8eMiniLM\u5d4c\u5165\u6a21\u578b\u3002\u4e24\u8005\u5728\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u4e0a\u8868\u73b0\u4e00\u81f4\u3002<\/p>\n<p>\u8fd9\u4e9b\u8bc4\u5206\u6539\u8fdb\u53ef\u5f52\u56e0\u4e8eOpenAI\u5d4c\u5165\u66f4\u9002\u5408\u7ef4\u57fa\u767e\u79d1\u4fe1\u606f\u3002<\/p>\n<h3 data-id=\"heading-17\">\u76f8\u4f3c\u5ea6\u524d k \u4e2a<\/h3>\n<p>\u589e\u52a0 top k \u7565\u5fae\u63d0\u9ad8\u6700\u5927\u68c0\u7d22\u8d28\u91cf(\u901a\u8fc7\u4e0a\u4e0b\u6587\u76f8\u5173\u5ea6\u6d4b\u91cf)\u3002\u68c0\u7d22\u66f4\u591a\u5757\uff0c\u68c0\u7d22\u5668\u6709\u66f4\u591a\u673a\u4f1a\u83b7\u53d6\u9ad8\u8d28\u91cf\u4e0a\u4e0b\u6587\u3002<\/p>\n<p>\u66f4\u9ad8\u7684\u524d k \u4e2a\u4e5f\u6539\u5584\u4e86\u51c6\u786e\u6027(\u5e73\u57470.71\u5bf9\u6bd40.62)\u548c\u7b54\u6848\u76f8\u5173\u5ea6(\u5e73\u57470.76\u5bf9\u6bd40.68)\u3002\u68c0\u7d22\u66f4\u591a\u4e0a\u4e0b\u6587\u5757\u4e3a\u8bed\u8a00\u6a21\u578b\u63d0\u4f9b\u66f4\u591a\u8bc1\u636e\u63d0\u51fa\u5e76\u652f\u6301\u5176\u7ed3\u8bba\u3002<\/p>\n<p>\u5982\u9884\u671f\u7684\u90a3\u6837\uff0c\u8fd9\u4e9b\u6539\u8fdb\u4ee5\u66f4\u9ad8\u4ee4\u724c\u4f7f\u7528\u6210\u672c(\u6bcf\u4e2a\u8c03\u7528\u5e73\u5747\u989d\u5916590\u4e2a\u4ee4\u724c)\u4e3a\u4ee3\u4ef7\u3002<\/p>\n<h3 data-id=\"heading-18\">\u5757\u5927\u5c0f<\/h3>\n<p>\u589e\u52a0\u5757\u5927\u5c0f\u901a\u8fc7\u5f3a\u5236\u5305\u542b\u4e0e\u8f93\u5165\u95ee\u9898\u65e0\u5173\u7684\u5468\u8fb9\u6587\u672c\u6765\u964d\u4f4e\u68c0\u7d22\u5668\u7684\u51c6\u786e\u6027\u3002<\/p>\n<p>\u4ece\u79ef\u6781\u65b9\u9762\u770b\uff0c\u66f4\u5927\u5757\u5927\u5c0f\u63d0\u4f9b\u4e86\u66f4\u591a\u8bc1\u636e\u8fdb\u884c\u68c0\u67e5\u3002\u56e0\u6b64\uff0c\u5f53\u8bed\u8a00\u6a21\u578b\u5f97\u51fa\u7ed3\u8bba\u65f6\uff0c\u5b83\u4eec\u66f4\u53ef\u80fd\u5f97\u5230\u68c0\u7d22\u4e0a\u4e0b\u6587\u7684\u652f\u6301\u3002<\/p>\n<p>\u6700\u540e\uff0c\u589e\u52a0\u5757\u5927\u5c0f\u4f7f\u6bcf\u4e2a\u8bb0\u5f55\u7684\u5e73\u5747\u4ee4\u724c\u4f7f\u7528\u589e\u52a0\u4e86400\u4e2a\u3002<\/p>\n<h2 data-id=\"heading-19\">\u7528TruLens\u548cMilvus\u6784\u5efa\u66f4\u597d\u7684RAG<\/h2>\n<p>\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5b66\u4e60\u4f7f\u7528\u5404\u79cd\u914d\u7f6e\u548c\u53c2\u6570(\u5305\u62ec\u7d22\u5f15\u7c7b\u578b\u3001\u5d4c\u5165\u6a21\u578b\u3001\u524d k \u4e2a\u548c\u5757\u5927\u5c0f)\u6784\u5efa RAG\u3002Milvus \u652f\u6301\u5927\u91cf\u914d\u7f6e\u548c\u5141\u8bb8\u8986\u76d6\u4f7f\u8fd9\u79cd\u52a8\u6001\u5b9e\u9a8c\u6210\u4e3a\u53ef\u80fd\u3002\u81f3\u5173\u91cd\u8981\u7684\u662f\uff0c\u6211\u4eec\u8fd8\u4f7f\u7528 TruLens \u6765\u8ddf\u8e2a\u548c\u8bc4\u4f30\u6bcf\u4e2a\u5b9e\u9a8c\uff0c\u8bc6\u522b\u5e76\u89e3\u91ca\u65b0\u7684\u5931\u8d25\u6a21\u5f0f\uff0c\u5e76\u5feb\u901f\u627e\u5230\u6700\u4f73\u6027\u80fd\u7ec4\u5408\u3002<\/p>\n<p>\u6b32\u81ea\u884c\u5c1d\u8bd5\uff0c\u60a8\u53ef\u4ee5\u67e5\u770b\u5f00\u6e90 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fwww.trulens.org%2F\" target=\"_blank\" title=\"https:\/\/www.trulens.org\/\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">TruLens<\/a> \u5e76\u5b89\u88c5\u5f00\u6e90 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fmilvus.io%2Fdocs%2Fbuild_index.md\" target=\"_blank\" title=\"https:\/\/milvus.io\/docs\/build_index.md\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Milvus<\/a> \u6216 <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fzilliz.com%2Fcloud%3Futm_source%3Dgoogle%26utm_medium%3Dcpc%26utm_campaign%3DBrand_Zilliz_Search%26utm_content%3DZilliz_Cloud_SKAG%26utm_term%3Dzilliz%2520cloud%26utm_campaign%3DBrand_Zilliz_Search%26utm_source%3Dadwords%26utm_medium%3Dppc%26hsa_acc%3D3636806625%26hsa_cam%3D20126268396%26hsa_grp%3D149842899315%26hsa_ad%3D658536737960%26hsa_src%3Dg%26hsa_tgt%3Dkwd-1798686554316%26hsa_kw%3Dzilliz%2520cloud%26hsa_mt%3De%26hsa_net%3Dadwords%26hsa_ver%3D3%26gad%3D1%26gclid%3DEAIaIQobChMIjJ6a5t6WgQMVjExHAR0v8AzyEAAYASAAEgKG0PD_BwE\" target=\"_blank\" title=\"https:\/\/zilliz.com\/cloud?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=Brand_Zilliz_Search&amp;utm_content=Zilliz_Cloud_SKAG&amp;utm_term=zilliz%20cloud&amp;utm_campaign=Brand_Zilliz_Search&amp;utm_source=adwords&amp;utm_medium=ppc&amp;hsa_acc=3636806625&amp;hsa_cam=20126268396&amp;hsa_grp=149842899315&amp;hsa_ad=658536737960&amp;hsa_src=g&amp;hsa_tgt=kwd-1798686554316&amp;hsa_kw=zilliz%20cloud&amp;hsa_mt=e&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gad=1&amp;gclid=EAIaIQobChMIjJ6a5t6WgQMVjExHAR0v8AzyEAAYASAAEgKG0PD_BwE\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Zilliz Cloud<\/a>\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>\u4e86\u89e3\u5982\u4f55\u6784\u5efa\u5404\u79cd\u914d\u7f6e\u548c\u53c2\u6570\u7684 RAG\uff0c\u5305\u62ec\u7d22\u5f15\u7c7b\u578b\u3001\u5d4c\u5165\u6a21\u578b\u3001top k \u548c chunk 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