{"id":32541,"date":"2025-07-16T04:03:51","date_gmt":"2025-07-15T20:03:51","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=32541"},"modified":"2025-07-16T04:07:15","modified_gmt":"2025-07-15T20:07:15","slug":"gugefabuzuixin-g","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/gugefabuzuixin-g\/","title":{"rendered":"\u8c37\u6b4c\u53d1\u5e03\u6700\u65b0 Gemini Embedding \u6a21\u578b\uff1aMTEB\u8bc4\u6d4b\u591a\u8bed\u8a00\u5c60\u699c"},"content":{"rendered":"

Google<\/code>\u00a0\u8fd1\u65e5\u5ba3\u5e03\uff0c\u5176\u9996\u4e2a\u00a0Gemini<\/a> Embedding<\/code>\u00a0\u6587\u672c\u6a21\u578b (gemini-embedding-001<\/code>) \u5df2\u901a\u8fc7\u00a0Gemini API<\/a><\/code>\u00a0\u548c\u00a0Vertex AI<\/code>\u00a0\u6b63\u5f0f\u5411\u5f00\u53d1\u8005\u5f00\u653e\u3002\u81ea2025\u5e743\u6708\u5b9e\u9a8c\u6027\u63a8\u51fa\u4ee5\u6765\uff0c\u8be5\u6a21\u578b\u4e00\u76f4\u5728\u00a0MTEB<\/code>\u00a0(Massive Text Embedding Benchmark) \u591a\u8bed\u8a00\u6392\u884c\u699c\u4e0a\u5360\u636e\u9886\u5148\u5730\u4f4d\uff0c\u8fd9\u6807\u5fd7\u7740\u5b83\u5728\u8de8\u9886\u57df\u7684\u5173\u952e\u4efb\u52a1\u4e2d\u5177\u5907\u5353\u8d8a\u7684\u6027\u80fd\u3002<\/p>\n

\"\u8c37\u6b4c\u53d1\u5e03<\/p>\n

 <\/p>\n

MTEB \u6027\u80fd\u57fa\u51c6\u7684\u610f\u4e49<\/h2>\n

MTEB<\/code>\u00a0\u662f\u4e00\u4e2a\u8861\u91cf\u6587\u672c\u5d4c\u5165\u6a21\u578b\u7efc\u5408\u80fd\u529b\u7684\u6743\u5a01\u57fa\u51c6\uff0c\u5b83\u6db5\u76d6\u4e86\u4ece\u4fe1\u606f\u68c0\u7d22\u5230\u6587\u672c\u5206\u7c7b\u7b49\u591a\u79cd\u4e0d\u540c\u7ef4\u5ea6\u7684\u4efb\u52a1\u3002gemini-embedding-001<\/code>\u00a0\u5728\u6b64\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u7684\u6301\u7eed\u9886\u5148\uff0c\u610f\u5473\u7740\u8be5\u6a21\u578b\u5e76\u975e\u53ea\u5728\u7279\u5b9a\u573a\u666f\u4e0b\u8868\u73b0\u4f18\u5f02\uff0c\u800c\u662f\u5728\u79d1\u5b66\u3001\u6cd5\u5f8b\u3001\u91d1\u878d\u548c\u7f16\u7a0b\u7b49\u591a\u6837\u5316\u9886\u57df\u90fd\u5177\u5907\u7edf\u4e00\u4e14\u5f3a\u5927\u7684\u8bed\u4e49\u8868\u793a\u80fd\u529b\u3002\u6839\u636e\u00a0Google<\/code>\u00a0\u53d1\u5e03\u7684\u62a5\u544a\uff0cgemini-embedding-001<\/code>\u00a0\u7684\u6027\u80fd\u4e0d\u4ec5\u8d85\u8d8a\u4e86\u5176\u81ea\u5bb6\u7684\u65e7\u7248\u6a21\u578b\uff0c\u4e5f\u5728\u591a\u4e2a\u7ef4\u5ea6\u4e0a\u4f18\u4e8e\u5e02\u9762\u4e0a\u7684\u5176\u4ed6\u5546\u4e1a\u5316\u6a21\u578b\u3002<\/p>\n

\u6838\u5fc3\u6280\u672f\uff1aMatryoshka \u4e0e\u6210\u672c\u7075\u6d3b\u6027<\/h2>\n

\u8be5\u6a21\u578b\u7684\u4e00\u4e2a\u6838\u5fc3\u6280\u672f\u662f\u00a0Matryoshka Representation Learning<\/code>\u00a0(MRL)\u3002\u8fd9\u9879\u6280\u672f\u5141\u8bb8\u5f00\u53d1\u8005\u6839\u636e\u5b9e\u9645\u9700\u6c42\uff0c\u7075\u6d3b\u5730\u7f29\u51cf\u5d4c\u5165\u5411\u91cf\u7684\u8f93\u51fa\u7ef4\u5ea6\uff0c\u9ed8\u8ba4\u7ef4\u5ea6\u4e3a 3072\u3002<\/p>\n

\u8fd9\u79cd\u8bbe\u8ba1\u5bf9\u5f00\u53d1\u8005\u6781\u4e3a\u53cb\u597d\u3002\u5728\u9700\u8981\u6700\u9ad8\u7cbe\u5ea6\u7684\u573a\u666f\uff08\u5982\u91d1\u878d\u6216\u6cd5\u5f8b\u6587\u6863\u7684\u7cbe\u786e\u5339\u914d\uff09\u4e0b\uff0c\u53ef\u4ee5\u4f7f\u7528\u5b8c\u6574\u7684 3072 \u7ef4\u5ea6\u3002\u800c\u5728\u5bf9\u6210\u672c\u548c\u5b58\u50a8\u66f4\u654f\u611f\u7684\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u5c06\u5176\u7f29\u51cf\u81f3 1536 \u6216 768 \u751a\u81f3\u66f4\u4f4e\u7684\u7ef4\u5ea6\uff0c\u4ece\u800c\u5728\u6027\u80fd\u548c\u8fd0\u8425\u6210\u672c\u4e4b\u95f4\u627e\u5230\u6700\u4f73\u5e73\u8861\u70b9\u3002\u8fd9\u79cd\u7075\u6d3b\u6027\uff0c\u52a0\u4e0a\u5bf9\u8d85\u8fc7100\u79cd\u8bed\u8a00\u7684\u652f\u6301\u548c\u957f\u8fbe2048\u4e2atoken\u7684\u8f93\u5165\u4e0a\u9650\uff0c\u4f7f\u5176\u6210\u4e3a\u4e00\u4e2a\u9ad8\u5ea6\u901a\u7528\u7684\u6a21\u578b\u3002<\/p>\n

\u5f00\u53d1\u8005\u751f\u6001\u4e0e\u5b9a\u4ef7\u7b56\u7565<\/h2>\n

Google<\/code>\u00a0\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u6e05\u6670\u7684\u63a5\u5165\u8def\u5f84\u548c\u9887\u5177\u7ade\u4e89\u529b\u7684\u5b9a\u4ef7\u3002gemini-embedding-001<\/code>\u00a0\u7684\u4ef7\u683c\u4e3a\u6bcf100\u4e07\u8f93\u5165\u00a0token<\/a><\/code>\u00a00.15\u7f8e\u5143\uff0c\u5e76\u63d0\u4f9b\u514d\u8d39\u4f7f\u7528\u989d\u5ea6\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u8fdb\u884c\u5b9e\u9a8c\u548c\u539f\u578b\u5f00\u53d1\u3002<\/p>\n

\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7\u00a0Gemini API<\/code>\u00a0\u8c03\u7528\u8be5\u6a21\u578b\uff0c\u4e14\u5b83\u4e0e\u73b0\u6709\u7684\u00a0embed_content<\/code>\u00a0\u7aef\u70b9\u517c\u5bb9\u3002<\/p>\n

from google import genai\r\nclient = genai.Client()\r\nresult = client.models.embed_content(\r\nmodel=\"gemini-embedding-001\",\r\ncontents=\"What is the meaning of life?\"\r\n)\r\nprint(result.embeddings)\r\n<\/code><\/pre>\n
\u4e0e\u6b64\u540c\u65f6\uff0cGoogle<\/code>\u00a0\u4e5f\u516c\u5e03\u4e86\u65e7\u6a21\u578b\u7684\u8fc1\u79fb\u8ba1\u5212\uff0cembedding-001<\/code>\u00a0\u5c06\u4e8e2025\u5e748\u670814\u65e5\u505c\u6b62\u652f\u6301\uff0c\u800c\u00a0text-embedding-004<\/code>\u00a0\u5c06\u4e8e2026\u5e741\u670814\u65e5\u5f03\u7528\u3002Google<\/code>\u00a0\u660e\u786e\u5efa\u8bae\u5f00\u53d1\u8005\u5c3d\u65e9\u5c06\u9879\u76ee\u8fc1\u79fb\u5230\u6700\u65b0\u7684\u00a0gemini-embedding-001<\/code>\u00a0\u6a21\u578b\u4e0a\u3002<\/p>\n
\u6b64\u4e3e\u4e0d\u4ec5\u662f\u6280\u672f\u4e0a\u7684\u8fed\u4ee3\uff0c\u66f4\u662f\u00a0Google<\/code>\u00a0\u5de9\u56fa\u5176 AI \u751f\u6001\u7cfb\u7edf\u7684\u91cd\u8981\u4e00\u6b65\u3002\u4e00\u4e2a\u5f3a\u5927\u3001\u7075\u6d3b\u4e14\u6210\u672c\u53ef\u63a7\u7684\u5d4c\u5165\u6a21\u578b\u662f\u6784\u5efa\u9ad8\u7ea7\u522b\u00a0RAG<\/a><\/code>\u00a0(Retrieval-Augmented Generation) \u7b49\u5e94\u7528\u7684\u57fa\u7840\u3002\u901a\u8fc7\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u8fd9\u6837\u4e00\u4e2a\u57fa\u7840\u5de5\u5177\uff0cGoogle<\/code>\u00a0\u6b63\u5728\u589e\u5f3a\u5176\u5728\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u8bbe\u65bd\u9886\u57df\u7684\u7ade\u4e89\u529b\u3002\u6b64\u5916\uff0cGoogle<\/code>\u00a0\u8fd8\u9884\u544a\uff0c\u5373\u5c06\u652f\u6301\u00a0Batch API<\/code>\uff0c\u4ee5\u66f4\u4f4e\u7684\u6210\u672c\u5f02\u6b65\u5904\u7406\u6570\u636e\uff0c\u8fd9\u5c06\u8fdb\u4e00\u6b65\u964d\u4f4e\u5927\u89c4\u6a21\u5e94\u7528\u7684\u95e8\u69db\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
Google\u00a0\u8fd1\u65e5\u5ba3\u5e03\uff0c\u5176\u9996\u4e2a\u00a0Gemini Embedding\u00a0\u6587\u672c\u6a21\u578b (gemini-embedding-001) \u5df2\u901a\u8fc7\u00a0Gemini API\u00a0\u548c\u00a0Vertex AI\u00a0\u6b63\u5f0f\u5411\u5f00\u53d1\u8005\u5f00\u653e\u3002\u81ea2025\u5e743\u6708\u5b9e\u9a8c\u6027\u63a8\u51fa\u4ee5\u6765\uff0c\u8be5\u6a21\u578b\u4e00\u76f4\u5728\u00a0…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-32541","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/32541","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=32541"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/32541\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=32541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=32541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=32541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}