{"id":10021514,"date":"2026-10-29T11:49:04","date_gmt":"2026-10-29T03:49:04","guid":{"rendered":"https:\/\/itmax.cn\/?p=10021514"},"modified":"2026-10-29T22:26:58","modified_gmt":"2026-10-29T14:26:58","slug":"alibaba-zvec-20261029","status":"publish","type":"post","link":"https:\/\/itmax.cn\/?p=10021514","title":{"rendered":"\u522b\u518d\u4e3a\u51e0\u4e07\u6761\u7b14\u8bb0\u8d77\u4e00\u4e2a\u5411\u91cf\u5e93\u670d\u52a1\u4e86\uff5cZvec \u8fdb\u7a0b\u5185\u5b9e\u6d4b\uff0c3 \u4e2a\u5751\u6211\u66ff\u4f60\u8e29\u4e86"},"content":{"rendered":"<figure style=\"margin:0 0 32px;text-align:center;\"><img decoding=\"async\" src=\"https:\/\/itmax.cn\/wp-content\/uploads\/2026\/10\/alibaba-zvec-v2-cover.png\" alt=\"zvec \u9879\u76ee\u5c01\u9762\uff1a\u5411\u91cf\u5e93\u585e\u8fdb\u8fdb\u7a0b\u5185\" style=\"width:100%;height:auto;max-width:960px;border-radius:8px;display:block;margin:0 auto;\" \/><figcaption style=\"margin-top:12px;font-size:14px;color:#868EAA;line-height:1.6;\">zvec \u5728 GitHub \u4e0a\u7684\u5f53\u524d\u72b6\u6001\uff1a16,160 star\u3001v0.8.0\u3001\u8fd1\u56db\u5468 23 \u6b21\u63d0\u4ea4<\/figcaption><\/figure>\n<p>\u53bb\u5e74\u505a\u90a3\u4e2a\u300c\u79c1\u4eba\u7b14\u8bb0\u8bed\u4e49\u641c\u7d22\u300d\u7684\u65f6\u5019\uff0c\u6211\u88ab\u4e00\u4ef6\u4e8b\u6298\u78e8\u4e86\u5f88\u4e45\uff1a\u4e3a\u4e86\u641c\u51e0\u4e07\u6761\u7b14\u8bb0\u91cc\u7684\u300c\u90a3\u4e9b\u5199\u8fc7 Redis \u6162\u67e5\u8be2\u7684\u6bb5\u843d\u300d\uff0c\u6211\u62c9\u8d77\u4e86\u4e00\u6574\u5957 Milvus \u96c6\u7fa4\u3002\u4e09\u53f0\u673a\u5668\uff0c\u4e00\u4e2a etcd\uff0c\u4e00\u5806 Python SDK \u7684\u7248\u672c\u5730\u72f1\uff0c\u6700\u540e\u68c0\u7d22\u5ef6\u8fdf 30 \u6beb\u79d2\uff0c\u5176\u4e2d 25 \u6beb\u79d2\u82b1\u5728\u4e86\u7f51\u7edc\u5f80\u8fd4\u548c\u5e8f\u5217\u5316\u4e0a\u3002<\/p>\n<p>\u66f4\u6c14\u4eba\u7684\u662f\uff0c\u8dd1\u8d77\u6765\u4e4b\u540e\u6211\u53d1\u73b0\uff0c\u5ba2\u6237\u7aef\u7b14\u8bb0\u672c\u4e0a\u90a3\u4efd SQLite \u6570\u636e\u5e93\uff0c\u68c0\u7d22\u7ed3\u679c\u5176\u5b9e\u548c Milvus \u4e00\u6837\u51c6\u3002<\/p>\n<p>\u90a3\u6b21\u4e4b\u540e\u6211\u5fc3\u91cc\u5c31\u5b58\u4e86\u4e00\u6839\u523a\uff1a<strong>\u5411\u91cf\u68c0\u7d22\u8fd9\u4e2a\u4e1c\u897f\uff0c\u7edd\u5927\u591a\u6570\u573a\u666f\u6839\u672c\u4e0d\u9700\u8981\u4e00\u4e2a\u300c\u670d\u52a1\u300d<\/strong>\u3002\u5b83\u5c31\u662f\u4e00\u6b21\u51fd\u6570\u8c03\u7528\u3002<\/p>\n<p>\u6240\u4ee5\u5f53\u6211\u5728 GitHub \u4e0a\u770b\u5230 <code>alibaba\/zvec<\/code> \u8fd9\u4e2a\u9879\u76ee\u2014\u2014\u4e00\u4e2a\u76f4\u63a5\u5d4c\u8fdb\u4f60\u8fdb\u7a0b\u91cc\u7684 C++ \u5411\u91cf\u6570\u636e\u5e93\u2014\u2014\u6211\u7acb\u523b\u88c5\u4e0a\u8dd1\u4e86\u4e00\u904d\u3002\u8dd1\u5b8c\u4e4b\u540e\u6211\u6709\u8bdd\u8981\u8bf4\uff0c\u800c\u4e14\u6709\u51e0\u4ef6\u4e8b\u8ddf\u5ba3\u4f20\u6750\u6599\u91cc\u5199\u7684\u4e0d\u592a\u4e00\u6837\u3002<\/p>\n<h2 id=\"_1\">\u6211\u4e3a\u4ec0\u4e48\u76ef\u4e0a\u5b83<\/h2>\n<p>\u5148\u8bf4\u6e05\u695a\u6211\u81ea\u5df1\u7684\u5904\u5883\uff0c\u8fd9\u6837\u540e\u9762\u7684\u53d6\u820d\u624d\u6709\u610f\u4e49\u3002<\/p>\n<p>\u6211\u624b\u4e0a\u6709\u4e09\u4e2a\u9700\u6c42\uff0c\u5f62\u72b6\u90fd\u5f88\u50cf\uff1a<\/p>\n<ol>\n<li>\u684c\u9762\u7aef\u7684\u4ee3\u7801\u7247\u6bb5\u641c\u7d22\uff0c\u7d22\u5f15\u89c4\u6a21\u5728 5 \u4e07\u6761\u4ee5\u5185<\/li>\n<li>\u670d\u52a1\u7aef\u4e00\u4e2a\u667a\u80fd\u4f53\u7684\u77ed\u671f\u8bb0\u5fc6\u5e93\uff0c\u9700\u8981\u9891\u7e41\u589e\u5220<\/li>\n<li>\u5076\u5c14\u8981\u62ff\u4e00\u6279\u4e2d\u6587\u6587\u6863\u505a\u6df7\u5408\u68c0\u7d22\uff08\u5173\u952e\u8bcd + \u8bed\u4e49\uff09<\/li>\n<\/ol>\n<p>\u8fd9\u4e09\u4e2a\u9700\u6c42\u8fc7\u53bb\u6211\u90fd\u4f1a\u585e\u8fdb Milvus \u6216\u8005 Qdrant\u3002\u4f46\u8bf4\u5b9e\u8bdd\uff0c\u4e3a 5 \u4e07\u6761\u6570\u636e\u7ef4\u62a4\u4e00\u5957\u5206\u5e03\u5f0f\u96c6\u7fa4\uff0c\u8fd9\u4ef6\u4e8b\u7684\u8fd0\u7ef4\u6210\u672c\u5df2\u7ecf\u5927\u8fc7\u6536\u76ca\u672c\u8eab\u4e86\u3002\u66f4\u522b\u63d0\u6211\u4eec\u7684\u670d\u52a1\u662f\u5355\u8fdb\u7a0b Python \u670d\u52a1\uff0c\u4e3a\u4e00\u4e2a\u68c0\u7d22\u529f\u80fd\u6a2a\u5411\u6269\u4e09\u53f0\u673a\u5668\uff0c\u600e\u4e48\u60f3\u90fd\u522b\u626d\u3002<\/p>\n<p><code>zvec<\/code> \u7684\u601d\u8def\u5f88\u76f4\u63a5\uff1a<strong>\u522b\u5f53\u5b83\u662f\u6570\u636e\u5e93\uff0c\u5f53\u5b83\u662f\u4e2a\u5e93<\/strong>\u3002\u7528\u8d77\u6765\u662f\u8fd9\u6837\uff1a<\/p>\n<pre><code class=\"language-python\">import zvec\n\nschema = zvec.CollectionSchema(\n    name=&quot;notes&quot;,\n    vectors=zvec.VectorSchema(&quot;embedding&quot;, zvec.DataType.VECTOR_FP32, 768),\n)\ncollection = zvec.create_and_open(path=&quot;.\/notes_db&quot;, schema=schema)\n<\/code><\/pre>\n<p>\u6ca1\u6709 server\uff0c\u6ca1\u6709\u7aef\u53e3\uff0c\u6ca1\u6709\u8fde\u63a5\u4e32\u3002<code>create_and_open<\/code> \u4f20\u4e00\u4e2a\u76ee\u5f55\u8def\u5f84\uff0c\u8fd4\u56de\u4e00\u4e2a\u5bf9\u8c61\u3002\u6570\u636e\u5c31\u8eba\u5728\u90a3\u4e2a\u76ee\u5f55\u91cc\uff0c\u8fdb\u7a0b\u9000\u51fa\u4e86\u5b83\u8fd8\u5728\u3002<\/p>\n<p>\u8fd9\u5c31\u662f\u6211\u76ef\u4e0a\u5b83\u7684\u539f\u56e0\u2014\u2014<strong>\u5b83\u628a\u300c\u90e8\u7f72\u4e00\u4e2a\u670d\u52a1\u300d\u8fd9\u4ef6\u4e8b\u6574\u4e2a\u5220\u6389\u4e86<\/strong>\u3002\u5220\u5f97\u5e72\u51c0\uff0c\u4e0d\u662f\u6211\u81ea\u5df1\u62fc\u7684\u3002<\/p>\n<h2 id=\"_2\">\u5b83\u5b9e\u9645\u80fd\u5e72\u4ec0\u4e48<\/h2>\n<p>\u6211\u628a\u5b83\u5206\u6210\u51e0\u7ec4\u8bf4\uff0c\u6bcf\u7ec4\u90fd\u5199\u6e05\u695a\u54ea\u4e9b\u662f\u6211\u771f\u8dd1\u901a\u7684\uff0c\u54ea\u4e9b\u662f README \u4e0a\u5199\u7740\u4f46\u6211\u6ca1\u9a8c\u7684\u3002<\/p>\n<h3 id=\"_3\">\u7b2c\u4e00\u7ec4\uff1a\u7a20\u5bc6\u5411\u91cf\u68c0\u7d22\uff0c\u8fd9\u662f\u5b83\u7684\u770b\u5bb6\u672c\u9886<\/h3>\n<p>\u5b98\u65b9 README \u7684\u6700\u5c0f\u4f8b\u5b50\u6211\u539f\u6837\u8dd1\u4e86\u4e00\u904d\uff0c\u8f93\u51fa\u786e\u5b9e\u662f\u8fd9\u6837\uff1a<\/p>\n<pre><code class=\"language-python\">collection.insert([\n    zvec.Doc(id=&quot;doc_1&quot;, vectors={&quot;embedding&quot;: [0.1, 0.2, 0.3, 0.4]}),\n    zvec.Doc(id=&quot;doc_2&quot;, vectors={&quot;embedding&quot;: [0.2, 0.3, 0.4, 0.1]}),\n])\n\nresults = collection.query(\n    zvec.Query(field_name=&quot;embedding&quot;, vector=[0.4, 0.3, 0.3, 0.1]),\n    topk=10\n)\n# [{'id': 'doc_2', 'score': 0.30...}, {'id': 'doc_1', 'score': 0.23...}]\n<\/code><\/pre>\n<p>\u6211\u62ff\u8fd9\u4e2a API \u8dd1\u4e86\u4e00\u4e2a\u7a0d\u5fae\u50cf\u6837\u7684\u538b\u6d4b\uff1a5 \u4e07\u6761 768 \u7ef4\u968f\u673a\u5411\u91cf\uff0cHNSW \u7d22\u5f15\uff0c<code>m=16<\/code>\u3001<code>ef_construction=200<\/code>\u3001L2 \u8ddd\u79bb\u3002\u6211\u7684\u673a\u5668\u662f M2 MacBook Pro\uff0c64GB \u5185\u5b58\u3002<\/p>\n<p>\u7ed3\u679c\u662f\u8fd9\u6837\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u9636\u6bb5<\/th>\n<th>\u5b9e\u6d4b\u8017\u65f6<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u63d2\u5165 5 \u4e07\u6761<\/td>\n<td>6.12 \u79d2\uff08\u7ea6 8173 docs\/s\uff09<\/td>\n<\/tr>\n<tr>\n<td>HNSW \u5efa\u7d22\u5f15<\/td>\n<td>37.28 \u79d2<\/td>\n<\/tr>\n<tr>\n<td>\u67e5\u8be2 topk=10<\/td>\n<td>p50 = 1.881ms\uff0cp95 = 6.137ms\uff0cp99 = 31.087ms<\/td>\n<\/tr>\n<tr>\n<td>jieba \u5168\u6587\u7d22\u5f15\u6784\u5efa<\/td>\n<td>1.85 \u79d2<\/td>\n<\/tr>\n<tr>\n<td>\u4e2d\u6587\u5168\u6587\u67e5\u8be2<\/td>\n<td>p50 = 2.122ms\uff0cp95 = 2.277ms<\/td>\n<\/tr>\n<tr>\n<td>\u78c1\u76d8\u5360\u7528<\/td>\n<td>172 MB<\/td>\n<\/tr>\n<tr>\n<td>\u8fdb\u7a0b\u5cf0\u503c RSS<\/td>\n<td>\u7ea6 0.55 GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u4e2a\u6570\u5b57\u8981\u6b63\u786e\u7406\u89e3\u30021.88 \u6beb\u79d2\u662f<strong>\u8fdb\u7a0b\u5185<\/strong>\u7684\u5ef6\u8fdf\uff0c\u6ca1\u6709\u7f51\u7edc\u5f80\u8fd4\u3002\u5b98\u65b9\u5ba3\u4f20\u7684\u300c8000+ QPS\u300d\u6211\u6ca1\u590d\u73b0\u2014\u2014\u90a3\u662f 16 \u6838 64G \u7684 Linux \u673a\u5668\u8dd1 Cohere 1000 \u4e07\u6761\u6570\u636e\u96c6\u7684\u7ed3\u679c\uff0c\u8ddf\u6211\u7684\u6d4b\u8bd5\u5b8c\u5168\u4e0d\u662f\u4e00\u56de\u4e8b\uff0c\u4e0d\u5177\u5907\u53ef\u6bd4\u6027\u3002<\/p>\n<p>\u4f46\u5373\u4fbf\u5982\u6b64\uff0c\u6211\u8fd9\u4e2a 5 \u4e07\u6761\u7684\u91cf\u7ea7\uff0c\u7b14\u8bb0\u672c\u4e0a 172MB \u5185\u5b58 1.9 \u6beb\u79d2\u4e2d\u4f4d\u6570\uff0c\u8fd9\u4e2a\u4f53\u611f\u5df2\u7ecf\u975e\u5e38\u8212\u670d\u4e86\u3002<\/p>\n<h3 id=\"_4\">\u7b2c\u4e8c\u7ec4\uff1a\u4e2d\u6587\u5168\u6587\u68c0\u7d22\uff0c\u8fd9\u4e2a\u662f\u6211\u60ca\u559c\u7684\u5730\u65b9<\/h3>\n<p>v0.8.0 \u6700\u5927\u7684\u6539\u52a8\u5c31\u662f\u5185\u7f6e\u4e86 Jieba \u8bcd\u5178\u548c HMM \u6a21\u578b\u3002\u6211\u5efa\u4e86\u4e2a\u5168\u6587\u7d22\u5f15\uff0c\u4e2d\u6587\u76f4\u63a5\u5206\u8bcd\uff1a<\/p>\n<pre><code class=\"language-python\">collection.create_index(\n    &quot;title&quot;,\n    zvec.FtsIndexParam(tokenizer_name=&quot;jieba&quot;),\n    zvec.IndexOption(),\n)\n\nresults = collection.query(\n    zvec.Query(field_name=&quot;title&quot;, fts=zvec.Fts(match_string=&quot;\u5411\u91cf&quot;)),\n    topk=10,\n)\n# [('d1', '\u5411\u91cf\u6570\u636e\u5e93\u9009\u578b\u624b\u8bb0')]\n<\/code><\/pre>\n<p>\u6211\u5efa\u4e86 4 \u6761\u6d4b\u8bd5\u6587\u6863\u5206\u522b\u542b\u300c\u5411\u91cf\u6570\u636e\u5e93\u9009\u578b\u624b\u8bb0\u300d\u300c\u5927\u6a21\u578b\u63a8\u7406\u52a0\u901f\u5b9e\u8df5\u300d\u300c\u676d\u5dde\u5468\u672b\u81ea\u9a7e\u8def\u7ebf\u300d\u300c\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u600e\u4e48\u505a\u300d\uff0c\u641c\u300c\u5411\u91cf\u300d\u53ea\u547d\u4e2d\u7b2c\u4e00\u6761\uff0c\u641c\u300c\u5927\u6a21\u578b\u300d\u53ea\u547d\u4e2d\u7b2c\u4e8c\u6761\uff0c\u641c\u300c\u68c0\u7d22\u300d\u53ea\u547d\u4e2d\u7b2c\u56db\u6761\u3002\u5206\u8bcd\u51c6\u786e\uff0c\u6ca1\u6709\u4e71\u53ec\u56de\u3002<\/p>\n<p><strong>\u8fd9\u5bf9\u4e2d\u6587\u7528\u6237\u662f\u51b3\u5b9a\u6027\u7684<\/strong>\u3002\u5e02\u9762\u4e0a\u5f88\u591a\u5d4c\u5165\u5411\u91cf\u5e93\u5f97\u5916\u6302\u5206\u8bcd\u5668\uff0c\u8fd8\u8981\u5904\u7406\u8bcd\u5178\u8def\u5f84\uff0c\u914d\u7f6e\u4e00\u591a\u5c31\u5bb9\u6613\u5728\u90e8\u7f72\u73af\u5883\u91cc\u627e\u4e0d\u5230\u6587\u4ef6\u3002zvec \u76f4\u63a5\u628a\u8bcd\u5178\u585e\u8fdb\u4e8c\u8fdb\u5236\u91cc\uff0c\u8fd9\u662f\u7701\u5fc3\u7684\u505a\u6cd5\u3002<\/p>\n<h3 id=\"_5\">\u7b2c\u4e09\u7ec4\uff1a\u7ed3\u6784\u5316\u8fc7\u6ee4\u4e0e\u6df7\u5408\u68c0\u7d22\uff0c\u8fd9\u4e24\u4e2a\u771f\u80fd\u7528<\/h3>\n<p>\u6807\u91cf\u8fc7\u6ee4\u662f\u76f4\u63a5\u4f20\u5b57\u7b26\u4e32\u8868\u8fbe\u5f0f\uff0c\u4e0d\u662f\u62fc SQL\uff1a<\/p>\n<pre><code class=\"language-python\">results = collection.query(\n    zvec.Query(field_name=&quot;embedding&quot;, vector=[3.0, 0.1, 0.2, 0.3]),\n    topk=10,\n    filter=&quot;tag = '\u6280\u672f'&quot;,\n    output_fields=[&quot;title&quot;, &quot;tag&quot;],\n)\n<\/code><\/pre>\n<p>\u6df7\u5408\u68c0\u7d22\u6211\u4e00\u5f00\u59cb\u76f4\u63a5\u8e29\u4e86\u5751\u2014\u2014<strong>\u540c\u65f6\u4f20\u5411\u91cf\u67e5\u8be2\u548c\u5168\u6587\u67e5\u8be2\u4f1a\u76f4\u63a5\u629b\u5f02\u5e38<\/strong>\uff1a<\/p>\n<pre><code class=\"language-text\">ValueError: A reranker is required to merge results from multiple queries;\nspecify the 'reranker' argument.\n<\/code><\/pre>\n<p>\u5b83\u4e0d\u8ba9\u4eba\u81ea\u5df1\u778e\u5408\u5e76\u7ed3\u679c\u96c6\uff0c\u800c\u662f\u5f3a\u5236\u6307\u5b9a\u4e00\u4e2a\u878d\u5408\u7b56\u7565\u3002\u8fd9\u4e2a\u8bbe\u8ba1\u6211\u89c9\u5f97\u662f\u5bf9\u7684\u2014\u2014\u4e0d\u6307\u5b9a\u5c31\u8bf4\u660e\u5176\u5b9e\u6ca1\u60f3\u6e05\u695a\u8981\u4ec0\u4e48\u3002\u4e24\u79cd\u6211\u90fd\u8bd5\u4e86\uff1a<\/p>\n<pre><code class=\"language-python\"># RRF\uff1a\u53ea\u770b\u6392\u540d\uff0c\u4e0d\u770b\u5206\u6570\ncollection.query(\n    [zvec.Query(field_name=&quot;embedding&quot;, vector=[3.0, 0.1, 0.2, 0.3]),\n     zvec.Query(field_name=&quot;title&quot;, fts=zvec.Fts(match_string=&quot;\u68c0\u7d22&quot;))],\n    topk=10,\n    reranker=zvec.RrfReRanker(rank_constant=60),\n)\n# \u2192 d4: 0.032, d1: 0.0164, d2: 0.0161\n\n# \u52a0\u6743\uff1a\u76f4\u63a5\u7ed9\u4e24\u8def\u5206\u6743\u91cd\ncollection.query(\n    [zvec.Query(field_name=&quot;embedding&quot;, vector=[3.0, 0.1, 0.2, 0.3]),\n     zvec.Query(field_name=&quot;title&quot;, fts=zvec.Fts(match_string=&quot;\u68c0\u7d22&quot;))],\n    topk=10,\n    reranker=zvec.WeightedReRanker([0.7, 0.3]),\n)\n# \u2192 d4: 0.8317, d2\/d1\/d3: 0.664\n<\/code><\/pre>\n<p>RRF \u7684\u5206\u6570\u770b\u8d77\u6765\u5f88\u5c0f\uff080.032 \u8fd9\u79cd\uff09\uff0c\u90a3\u662f\u56e0\u4e3a\u5b83\u7684\u516c\u5f0f\u662f <code>1\/(k+r+1)<\/code>\uff0c\u672c\u6765\u5c31\u662f\u6392\u540d\u5012\u6570\uff0c\u4e0d\u662f\u76f8\u4f3c\u5ea6\uff0c\u522b\u62ff\u53bb\u548c\u522b\u7684\u5e93\u6bd4\u3002<\/p>\n<h3 id=\"_6\">\u7b2c\u56db\u7ec4\uff1a\u7a00\u758f\u5411\u91cf\uff0c\u80fd\u7528\uff0c\u4f46\u6211\u7528\u5f97\u5c11<\/h3>\n<p>\u7a00\u758f\u5411\u91cf\uff08<code>SPARSE_VECTOR_FP32<\/code>\uff09\u6211\u5efa\u4e86\u4e2a\u4e24\u5b57\u6bb5\u7684\u96c6\u5408\u63d2\u8fdb\u53bb\u67e5\u4e86\uff0c\u6b63\u5e38\u8fd4\u56de\uff1a<\/p>\n<pre><code class=\"language-python\">vectors=[\n    zvec.VectorSchema(&quot;embedding&quot;, zvec.DataType.VECTOR_FP32, 4),\n    zvec.VectorSchema(&quot;sparse&quot;, zvec.DataType.SPARSE_VECTOR_FP32),\n]\n# \u63d2\u5165 {1: 0.5, 5: 0.3} \u540e\u67e5\u8be2 \u2192 [('a', 0.34)]\n<\/code><\/pre>\n<p>\u4f46\u8bf4\u5b9e\u8bdd\uff0c\u6211\u65e5\u5e38\u7528\u4e0d\u4e0a\u7a00\u758f\u5411\u91cf\u3002\u5b83\u66f4\u50cf\u662f\u4e00\u4e2a\u300c\u80fd\u529b\u9f50\u5168\u300d\u7684\u5b58\u5728\u2014\u2014BM25\u3001Sparse\u3001Dense \u4e09\u79cd\u53ec\u56de\u8def\u5f84\u90fd\u5728\u4e00\u4e2a\u5e93\u91cc\uff0c\u662f\u4e3a\u4e86\u505a\u6df7\u5408\u68c0\u7d22\u65f6\u4e0d\u7528\u518d\u5f15\u7b2c\u4e09\u65b9\u5e93\u3002\u5982\u679c\u573a\u666f\u662f\u7eaf\u8bed\u4e49\u68c0\u7d22\uff0c\u8fd9\u90e8\u5206\u529f\u80fd\u5c31\u662f\u7eaf\u7cb9\u7684\u91cd\u91cf\u3002<\/p>\n<h3 id=\"_7\">\u54ea\u4e9b\u662f\u5671\u5934<\/h3>\n<p><strong>\u5206\u5e03\u5f0f\u662f\u5f7b\u5e95\u7684\u5671\u5934\u2014\u2014\u5b83\u6839\u672c\u6ca1\u6709\u3002<\/strong> README \u91cc\u6ca1\u6709\u96c6\u7fa4\u3001\u6ca1\u6709\u5206\u7247\u3001\u6ca1\u6709\u526f\u672c\uff0c\u4efb\u4f55\u5173\u4e8e\u300c\u6a2a\u5411\u6269\u5c55\u300d\u7684\u671f\u5f85\u90fd\u53ef\u4ee5\u653e\u4e0b\u3002<\/p>\n<p>\u5b98\u65b9 benchmark \u9875\u9762\u7528\u7684\u673a\u5668\u662f <code>g9i.4xlarge<\/code>\uff0816 vCPU \/ 64 GiB RAM\uff09\uff0c\u8dd1 Cohere 1000 \u4e07\u6761 768 \u7ef4\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5b98\u65b9\u6570\u5b57\u5168\u90e8\u6765\u81ea<strong>\u5355\u673a<\/strong>\u3002\u8fd9\u4e0d\u662f\u7f3a\u70b9\uff0c\u4f46\u5b83\u5212\u6e05\u4e86\u8fb9\u754c\uff1azvec \u7684\u6240\u6709\u6027\u80fd\u6545\u4e8b\u90fd\u5728\u4e00\u4e2a\u8fdb\u7a0b\u5185\u6210\u7acb\u3002<\/p>\n<h2 id=\"_8\">\u5b83\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u8bbe\u8ba1\uff0c\u4ee3\u4ef7\u5728\u54ea<\/h2>\n<p>\u6838\u5fc3\u8bbe\u8ba1\u5c31\u4e00\u53e5\u8bdd\uff1a<strong>\u7528\u6587\u4ef6\u9501\u6362\u6389\u5206\u5e03\u5f0f<\/strong>\u3002<\/p>\n<p>\u6211\u5728\u6e90\u7801\u5c42\u9762\u786e\u8ba4\u4e86\u5b83\u7684\u5e76\u53d1\u6a21\u578b\u3002\u96c6\u5408\u76ee\u5f55\u91cc\u4f1a\u751f\u6210\u4e00\u4e2a <code>LOCK<\/code> \u6587\u4ef6\uff0c\u6253\u5f00\u96c6\u5408\u65f6\u5fc5\u987b\u5148\u62ff\u5230\u8fd9\u4e2a\u9501\u3002\u6211\u5b9e\u6d4b\u4e86\u56db\u79cd\u5e76\u53d1\u573a\u666f\uff1a<\/p>\n<pre><code class=\"language-text\">\u573a\u666f1: \u65e0\u8fdb\u7a0b\u6301\u9501\uff0c3 \u4e2a\u53ea\u8bfb\u8fdb\u7a0b\u5e76\u53d1    \u2192 \u5168\u90e8\u6210\u529f\n\u573a\u666f2: \u5199\u8fdb\u7a0b\u6301\u9501\uff0c2 \u4e2a\u53ea\u8bfb\u8fdb\u7a0b\u5e76\u53d1    \u2192 \u5168\u90e8\u5931\u8d25\n\u573a\u666f3: \u540c\u8fdb\u7a0b\u5185 read_only \u6253\u5f00         \u2192 \u6210\u529f\n\u573a\u666f4: \u5199\u8fdb\u7a0b\u6301\u9501\uff0c\u53e6\u8d77\u5199\u8fdb\u7a0b          \u2192 \u5931\u8d25\n<\/code><\/pre>\n<p>\u5931\u8d25\u65f6\u7684\u62a5\u9519\u5f88\u76f4\u767d\uff1a<\/p>\n<pre><code class=\"language-text\">RuntimeError: Can't lock read-only collection: ...\/LOCK\n<\/code><\/pre>\n<p><strong>\u8fd9\u4e2a\u7ed3\u679c\u548c README \u7684\u63cf\u8ff0\u5bf9\u4e0d\u4e0a\u3002<\/strong> README \u7684\u529f\u80fd\u5217\u8868\u91cc\u5199\u7740\u300cConcurrent Access: Multiple processes can read the same collection simultaneously; writes are single-process exclusive\u300d\u2014\u2014\u6309\u5b57\u9762\u7406\u89e3\u662f\u300c\u591a\u8bfb\u5355\u5199\u300d\u90fd\u80fd\u8dd1\u3002\u4f46\u6211\u5b9e\u6d4b\u7684\u573a\u666f 2 \u8bf4\u660e\uff1a\u53ea\u8981\u6709\u5199\u8fdb\u7a0b\u6301\u9501\uff0c\u5176\u4ed6\u8fdb\u7a0b\u7684\u53ea\u8bfb\u6253\u5f00\u5c31\u76f4\u63a5\u5931\u8d25\u3002<\/p>\n<p>\u6211\u4e00\u5f00\u59cb\u4ee5\u4e3a\u81ea\u5df1\u7406\u89e3\u9519\u4e86\uff0c\u53bb\u7ffb\u4e86 issue\u3002#586 \u5c31\u662f\u6709\u4eba\u95ee\u540c\u4e00\u4ef6\u4e8b\uff0c\u4f5c\u8005\u5728 2026-07-10 \u63d0\u7684\uff0c\u6807\u9898\u662f\u300c\u672a\u6765\u662f\u5426\u4f1a\u652f\u6301\u5355\u5199\u591a\u8bfb\uff08\u4e00\u4e2a\u5199\u8fdb\u7a0b + \u591a\u4e2a\u53ea\u8bfb\u8fdb\u7a0b\uff09\u300d\uff0c\u5230\u4eca\u5929\u4ecd\u662f open \u72b6\u6001\u3002<\/p>\n<p>\u6240\u4ee5\u51c6\u786e\u7684\u8868\u8ff0\u5e94\u8be5\u662f\uff1a<strong>\u591a\u4e2a\u53ea\u8bfb\u8fdb\u7a0b\u53ef\u4ee5\u5e76\u53d1\u8bfb\uff1b\u4e00\u65e6\u6709\u8fdb\u7a0b\u5728\u5199\uff0c\u5176\u4ed6\u8fdb\u7a0b\u5c31\u8fde\u8bfb\u90fd\u8fdb\u4e0d\u53bb<\/strong>\u3002<\/p>\n<p>\u8fd9\u4e2a\u4ee3\u4ef7\u5728\u4ec0\u4e48\u60c5\u51b5\u4e0b\u4e0d\u53ef\u63a5\u53d7\uff1f\u5f88\u660e\u786e\uff1a<\/p>\n<ul>\n<li><strong>\u68c0\u7d22\u670d\u52a1\u8981\u72ec\u7acb\u6269\u5bb9<\/strong>\u2014\u2014\u4e0d\u884c\u3002\u7d22\u5f15\u6587\u4ef6\u5728\u4e00\u4e2a\u8fdb\u7a0b\u624b\u91cc\uff0c\u6ca1\u6cd5\u8ba9 5 \u4e2a Pod \u5171\u4eab\u4e00\u4efd\u7d22\u5f15\u540c\u65f6\u63d0\u4f9b\u8bfb\u670d\u52a1<\/li>\n<li><strong>\u6709\u5e38\u9a7b\u5199\u8fdb\u7a0b + \u591a\u4e2a\u67e5\u8be2\u8fdb\u7a0b<\/strong>\u7684\u67b6\u6784\u2014\u2014\u4e0d\u884c\u3002\u8fd9\u662f\u6700\u5e38\u89c1\u7684\u300c\u7d22\u5f15\u670d\u52a1\u300d\u5f62\u6001<\/li>\n<li><strong>\u591a\u4e2a\u5fae\u670d\u52a1\u5171\u4eab\u4e00\u4efd\u7d22\u5f15<\/strong>\u2014\u2014\u4e0d\u884c<\/li>\n<\/ul>\n<p>\u53cd\u8fc7\u6765\u8bf4\uff0c\u5982\u679c\u6574\u4e2a\u5e94\u7528\u5c31\u662f\u4e00\u4e2a\u8fdb\u7a0b\uff0c\u7d22\u5f15\u662f\u8fd9\u4e2a\u8fdb\u7a0b\u7684\u4e00\u90e8\u5206\uff0c\u90a3\u8fd9\u4e2a\u300c\u4ee3\u4ef7\u300d\u6839\u672c\u4e0d\u5b58\u5728\u3002<strong>\u5b83\u6362\u6765\u7684\u6b63\u662f\u90a3\u79cd\u5b8c\u5168\u7528\u4e0d\u4e0a\u7684\u590d\u6742\u5ea6\u3002<\/strong><\/p>\n<p>\u53e6\u5916\u8fd8\u6709\u4e24\u4e2a\u6211\u5b9e\u6d4b\u5230\u7684\u9650\u5236\uff0c\u867d\u7136\u4e0d\u7b97\u81f4\u547d\uff0c\u4f46\u8bbe\u8ba1\u7684\u65f6\u5019\u5f97\u77e5\u9053\uff1a<\/p>\n<p><strong>\u5199\u5165\u6279\u91cf\u4e0a\u9650 1024\u3002<\/strong> \u6211\u7b2c\u4e00\u6b21\u8dd1\u538b\u6d4b\u65f6\u7528 2000 \u6761\u4e00\u6279\uff0c\u76f4\u63a5\u88ab\u62d2\uff1a<\/p>\n<pre><code class=\"language-text\">ValueError: Too many docs: 2000 exceeds max write batch size of 1024\n<\/code><\/pre>\n<p>\u6539\u6210 1000 \u5c31\u597d\u4e86\u3002\u8fd9\u662f\u4fdd\u62a4\u63aa\u65bd\u4e0d\u662f bug\uff0c\u4f46\u5b98\u65b9 README \u6ca1\u5199\u3002<\/p>\n<p><strong>\u5199\u8fdb\u7a0b\u72ec\u5360\u610f\u5473\u7740\u6ca1\u6709\u5185\u7f6e\u7684\u8de8\u8fdb\u7a0b\u5199\u5165\u534f\u8c03\u3002<\/strong> \u591a\u7ebf\u7a0b\u5199\u540c\u4e00\u4e2a\u96c6\u5408\u7684\u8bdd\uff0c\u5f97\u9760\u5e94\u7528\u5c42\u81ea\u5df1\u52a0\u9501\u3002<\/p>\n<h2 id=\"_9\">\u5b89\u88c5\u8fd9\u4ef6\u4e8b\uff0c\u6211\u662f\u600e\u4e48\u8fc7\u7684<\/h2>\n<p>\u5b98\u65b9\u7ed9\u7684\u5b89\u88c5\u547d\u4ee4\u5c31\u4e00\u884c\uff1a<\/p>\n<pre><code class=\"language-bash\">pip install zvec\n<\/code><\/pre>\n<p>\u6211\u5b9e\u9645\u8dd1\u7684\u65f6\u5019\u9047\u5230\u4e86\u7b2c\u4e00\u4e2a\u95ee\u9898\uff1a<strong>\u6e05\u534e\u955c\u50cf\u4e0a\u6ca1\u6709\u8fd9\u4e2a\u5305<\/strong>\u3002<\/p>\n<pre><code class=\"language-text\">ERROR: Could not find a version that satisfies the requirement zvec\n(from versions: none)\n<\/code><\/pre>\n<p>\u6362\u6210\u963f\u91cc\u4e91\u955c\u50cf\u7acb\u523b\u5c31\u4e0b\u6765\u4e86\uff0c11.3 MB \u7684 wheel\uff1a<\/p>\n<pre><code class=\"language-bash\">pip install -i https:\/\/mirrors.aliyun.com\/pypi\/simple\/ zvec\n# Successfully installed numpy-2.5.4 zvec-0.8.0\n<\/code><\/pre>\n<p>\u88c5\u7684\u662f <code>zvec-0.8.0-cp313-cp313-macosx_11_0_arm64.whl<\/code>\uff0c\u4e5f\u5c31\u662f Apple Silicon \u539f\u751f\u8f6e\u5b50\u3002\u6211\u8fd9\u53f0\u662f M2\uff0cPython 3.13.12\uff0c\u76f4\u63a5\u539f\u751f\u8dd1\uff0c\u6ca1\u78b0 Rosetta\u3002<\/p>\n<p><strong>\u786c\u4ef6\u95e8\u69db\u8fd9\u5757\uff0c\u5b98\u65b9\u6ca1\u7ed9\u6574\u673a\u914d\u7f6e\u8868\u3002<\/strong> \u6211\u7ffb\u904d\u4e86 README \u548c\u5b98\u65b9\u6587\u6863\u7684 Platform Support \u9875\u9762\uff0c\u53ea\u627e\u5230\u8fd9\u4e9b\u786c\u6027\u8981\u6c42\uff1a<\/p>\n<ul>\n<li>64 \u4f4d Python 3.10\u20133.14\uff08Windows ARM64 \u6ca1\u6709 3.10 \u7684 wheel\uff09<\/li>\n<li>\u5e73\u53f0\u8986\u76d6\uff1aLinux x86_64\/ARM64\u3001macOS x86_64\/ARM64\u3001Windows x86_64\/ARM64\u3001Android arm64\u3001iOS arm64\uff08C\/C++ SDK\uff09\u3001RISC-V \u4e0d\u652f\u6301\u9700\u6e90\u7801\u7f16\u8bd1<\/li>\n<\/ul>\n<p>\u5b98\u65b9\u6ca1\u6709\u5199\u5185\u5b58\u4e0b\u9650\uff0c\u4e5f\u6ca1\u6709\u5199 CPU \u578b\u53f7\u8981\u6c42\u3002\u6309\u5b98\u65b9 benchmark \u7684\u914d\u7f6e\uff0816 vCPU \/ 64 GiB\uff09\u8dd1 1000 \u4e07\u6761 768 \u7ef4\u662f\u4ed6\u4eec\u7684\u53c2\u8003\u70b9\u3002<\/p>\n<p>\u90a3\u6211\u81ea\u5df1\u6309\u5b9e\u6d4b\u5206\u4e24\u6863\uff0c<strong>\u8fd9\u662f\u6211\u7684\u7ecf\u9a8c\u503c\u4e0d\u662f\u5b98\u65b9\u6570\u5b57<\/strong>\uff1a<\/p>\n<ul>\n<li><strong>\u6700\u4f4e\u53ef\u7528<\/strong>\uff1a8GB \u5185\u5b58\u7684\u7b14\u8bb0\u672c\uff0c\u8dd1\u5230 10 \u4e07\u6761 768 \u7ef4\u4ee5\u5185\u3002\u5185\u5b58\u5360\u7528\u6309\u6211\u8fd9\u6b21 5 \u4e07\u6761 172MB \u78c1\u76d8 \/ 0.55GB RSS \u7ebf\u6027\u5916\u63a8\uff0c\u518d\u7559\u8db3\u5efa\u7d22\u5f15\u65f6\u7684\u5cf0\u503c\u4f59\u91cf\uff0c2GB \u5c31\u591f<\/li>\n<li><strong>\u5efa\u8bae\u914d\u7f6e<\/strong>\uff1a32GB \u5185\u5b58\u4ee5\u4e0a\uff0c\u8dd1\u5230 100 \u4e07\u6761\u7ea7\u522b\u3002\u56e0\u4e3a HNSW \u5efa\u7d22\u5f15\u9636\u6bb5\u662f\u5185\u5b58\u5cf0\u503c\u6240\u5728\uff08\u6211\u8fd9\u6b21 5 \u4e07\u6761\u5efa\u7d22\u5f15 37 \u79d2\uff0c\u5168\u7a0b RSS \u624d 0.55GB\uff0c\u4f46 100 \u4e07\u6761\u65f6\u7d22\u5f15\u5e38\u9a7b\u5185\u5b58\u672c\u8eab\u5c31\u8981\u51e0\u4e2a G\uff09<\/li>\n<\/ul>\n<p><strong>\u78c1\u76d8<\/strong>\uff1a\u7c97\u7565\u6309 768 \u7ef4 FP32 \u7b97\uff0c5 \u4e07\u6761 172MB \u610f\u5473\u7740 100 \u4e07\u6761\u7ea6 3.4GB\uff0c\u7eaf\u5411\u91cf\u5b58\u50a8\u3002\u8fd9\u4e2a\u53ef\u4ee5\u7cbe\u786e\u7b97\uff0c\u4e0d\u7528\u62c5\u5fc3\u3002<\/p>\n<p>\u987a\u5e26\u4e00\u63d0\uff0cv0.8.0 \u521a\u8865\u4e86 Intel Mac \u548c Windows ARM64 \u7684\u6784\u5efa\u548c wheel\uff0c\u6240\u4ee5\u6211\u8fd9\u53f0 M2 \u548c\u8001\u540c\u4e8b\u7684 Intel Mac \u90fd\u80fd\u7528\u3002<\/p>\n<h2 id=\"_10\">\u4e0a\u624b\u8dd1\u4e00\u904d<\/h2>\n<p>\u4e0b\u9762\u662f\u4ece\u96f6\u5230\u51fa\u7ed3\u679c\u7684\u6700\u5c0f\u95ed\u73af\uff0c\u7167\u7740\u6572\u5c31\u80fd\u8dd1\u3002<\/p>\n<p><strong>\u7b2c\u4e00\u6b65\uff0c\u88c5\u4f9d\u8d56\u5e76\u5efa\u96c6\u5408\u3002<\/strong><\/p>\n<pre><code class=\"language-python\">import zvec\n\nschema = zvec.CollectionSchema(\n    name=&quot;notes&quot;,\n    fields=[\n        zvec.FieldSchema(&quot;title&quot;, zvec.DataType.STRING),\n        zvec.FieldSchema(&quot;tag&quot;, zvec.DataType.STRING),\n    ],\n    vectors=zvec.VectorSchema(&quot;embedding&quot;, zvec.DataType.VECTOR_FP32, 4),\n)\n\ncollection = zvec.create_and_open(path=&quot;.\/notes_db&quot;, schema=schema)\n<\/code><\/pre>\n<p><strong>\u7b2c\u4e8c\u6b65\uff0c\u704c\u6570\u636e\u3002<\/strong> \u6ce8\u610f\u6279\u91cf\u522b\u8d85\u8fc7 1024\uff1a<\/p>\n<pre><code class=\"language-python\">docs = [\n    zvec.Doc(\n        id=&quot;d1&quot;,\n        vectors={&quot;embedding&quot;: [0.1, 0.2, 0.3, 0.4]},\n        fields={&quot;title&quot;: &quot;\u5411\u91cf\u6570\u636e\u5e93\u9009\u578b\u624b\u8bb0&quot;, &quot;tag&quot;: &quot;\u6280\u672f&quot;},\n    ),\n    zvec.Doc(\n        id=&quot;d2&quot;,\n        vectors={&quot;embedding&quot;: [0.2, 0.3, 0.4, 0.1]},\n        fields={&quot;title&quot;: &quot;\u5927\u6a21\u578b\u63a8\u7406\u52a0\u901f\u5b9e\u8df5&quot;, &quot;tag&quot;: &quot;\u6280\u672f&quot;},\n    ),\n    zvec.Doc(\n        id=&quot;d3&quot;,\n        vectors={&quot;embedding&quot;: [0.3, 0.4, 0.1, 0.2]},\n        fields={&quot;title&quot;: &quot;\u676d\u5dde\u5468\u672b\u81ea\u9a7e\u8def\u7ebf&quot;, &quot;tag&quot;: &quot;\u751f\u6d3b&quot;},\n    ),\n]\ncollection.insert(docs)\n<\/code><\/pre>\n<p><strong>\u7b2c\u4e09\u6b65\uff0c\u67e5\u3002<\/strong> \u8fd9\u662f\u7eaf\u5411\u91cf\u68c0\u7d22\uff1a<\/p>\n<pre><code class=\"language-python\">results = collection.query(\n    zvec.Query(field_name=&quot;embedding&quot;, vector=[0.4, 0.3, 0.3, 0.1]),\n    topk=10,\n    output_fields=[&quot;title&quot;, &quot;tag&quot;],\n)\nfor doc in results:\n    print(doc.id, doc.fields[&quot;title&quot;], round(doc.score, 4))\n<\/code><\/pre>\n<p><strong>\u7b2c\u56db\u6b65\uff0c\u52a0\u4e2d\u6587\u5168\u6587\u68c0\u7d22\u3002<\/strong> \u5efa\u7d22\u5f15\u7528 jieba\uff1a<\/p>\n<pre><code class=\"language-python\">collection.create_index(\n    &quot;title&quot;,\n    zvec.FtsIndexParam(tokenizer_name=&quot;jieba&quot;),\n    zvec.IndexOption(),\n)\n\nhits = collection.query(\n    zvec.Query(field_name=&quot;title&quot;, fts=zvec.Fts(match_string=&quot;\u5411\u91cf&quot;)),\n    topk=10,\n    output_fields=[&quot;title&quot;],\n)\n# \u2192 d1 \u5411\u91cf\u6570\u636e\u5e93\u9009\u578b\u624b\u8bb0\n<\/code><\/pre>\n<p><strong>\u7b2c\u4e94\u6b65\uff0c\u6df7\u5408\u3002<\/strong> \u8bb0\u5f97\u5fc5\u987b\u7ed9 reranker\uff1a<\/p>\n<pre><code class=\"language-python\">merged = collection.query(\n    [\n        zvec.Query(field_name=&quot;embedding&quot;, vector=[0.4, 0.3, 0.3, 0.1]),\n        zvec.Query(field_name=&quot;title&quot;, fts=zvec.Fts(match_string=&quot;\u68c0\u7d22&quot;)),\n    ],\n    topk=10,\n    reranker=zvec.RrfReRanker(rank_constant=60),\n    output_fields=[&quot;title&quot;],\n)\n<\/code><\/pre>\n<p><strong>\u7b2c\u516d\u6b65\uff0c\u6301\u4e45\u5316\u9a8c\u8bc1\u3002<\/strong> \u5173\u6389\u8fdb\u7a0b\u518d\u6253\u5f00\uff0c\u6570\u636e\u8fd8\u5728\uff1a<\/p>\n<pre><code class=\"language-python\">collection.close()\n\n# \u4e0b\u6b21\u542f\u52a8\ncollection = zvec.open(&quot;.\/notes_db&quot;)\nhits = collection.query(\n    zvec.Query(field_name=&quot;embedding&quot;, vector=[0.4, 0.3, 0.3, 0.1]),\n    topk=1,\n)\n<\/code><\/pre>\n<p>\u6570\u636e\u843d\u5728 <code>.\/notes_db<\/code> \u76ee\u5f55\u91cc\uff0c\u8fdb\u7a0b\u5d29\u4e86\u6570\u636e\u4e5f\u5728\uff08\u5b83\u6709 WAL\uff09\u3002<\/p>\n<h2 id=\"_11\">\u522b\u4eba\u8e29\u8fc7\u7684\u5751<\/h2>\n<p>\u8fd9\u4e2a\u9879\u76ee\u7684\u793e\u533a\u4e0d\u7b97\u5927\uff0c\u4f46\u7ffb\u4e0b\u6765\u8fd8\u662f\u6709\u771f\u4e1c\u897f\u3002\u6211\u6309 issue \u7684\u8bc4\u8bba\u6570\u548c\u72b6\u6001\u6392\u4e86\u4e00\u904d\uff0c\u53c8\u53bb HN \u548c Reddit \u627e\u4e86\u627e\u3002<\/p>\n<p><strong>\u5751\u4e00\uff1a\u5355\u5199\u591a\u8bfb\u4e0d\u652f\u6301\uff0c\u800c\u4e14\u6587\u6863\u8bf4\u5f97\u6bd4\u5b9e\u9645\u5bbd\u3002<\/strong> \u5c31\u662f\u524d\u9762\u90a3\u4e2a #586\uff0c2026-07-10 \u63d0\u7684\uff0c\u81f3\u4eca open\uff1a<a href=\"https:\/\/github.com\/alibaba\/zvec\/issues\/586\">Issue #586 \u672a\u6765\u662f\u5426\u4f1a\u652f\u6301\u5355\u5199\u591a\u8bfb<\/a>\u3002README \u5199\u7684\u300c\u591a\u8fdb\u7a0b\u53ef\u540c\u65f6\u8bfb\u300d\u5728\u6709\u5199\u8fdb\u7a0b\u65f6\u662f\u505a\u4e0d\u5230\u7684\u3002\u8fd9\u6761\u6211\u4e0a\u9762\u5df2\u7ecf\u5b9e\u6d4b\u590d\u73b0\u4e86\u3002<\/p>\n<p><strong>\u5751\u4e8c\uff1a\u53ea\u8bfb\u6a21\u5f0f\u4f1a\u6539\u574f\u6301\u4e45\u5316\u7684\u7d22\u5f15\u6587\u4ef6\u3002<\/strong> #815 \u662f 10 \u6708 14 \u65e5\u62a5\u7684\uff0c\u4f5c\u8005\u7528\u54c8\u5e0c\u5feb\u7167\u7684\u65b9\u5f0f\u8bc1\u660e\uff1a\u5728 v0.7.0 \u91cc\u7528 <code>CollectionOption(read_only=True)<\/code> \u6253\u5f00\u4e00\u4e2a FP32 Flat\/COSINE \u96c6\u5408\uff0c\u4ec5\u4ec5 <code>open()<\/code> \u518d <code>close()<\/code>\uff0c\u4e2d\u95f4\u6ca1\u6709\u4efb\u4f55\u67e5\u8be2\u6216\u5199\u5165\uff0c\u7d22\u5f15\u6587\u4ef6\u7684\u5b57\u8282\u5c31\u53d8\u4e86\u3002<\/p>\n<pre><code class=\"language-text\">A snapshot taken immediately after open() is unchanged;\nthe snapshot after close() differs.\n<\/code><\/pre>\n<p>\u8fd9\u95ee\u9898\u5df2\u7ecf\u88ab\u4fee\u4e86\uff08v0.8.0 \u6709 &#8220;preserve index bytes on read-only close&#8221; \u7684\u4fee\u590d\uff09\uff0c\u4f46\u5728 0.7.0 \u4e0a\u505a\u53ea\u8bfb\u5feb\u7167\u7684\u8bdd\u5f97\u6ce8\u610f\uff1a<a href=\"https:\/\/github.com\/alibaba\/zvec\/issues\/815\">Issue #815 read_only=True close() modifies persisted Flat index bytes<\/a>\u3002<\/p>\n<p><strong>\u5751\u4e09\uff1a\u6d6e\u70b9\u8303\u56f4\u8fc7\u6ee4\u7684\u8fb9\u754c\u4f1a\u7b97\u9519\u3002<\/strong> #817 \u662f\u4e2a\u7cbe\u5ea6\u95ee\u9898\uff0c\u4f5c\u8005 jak-pan \u6316\u5230\u4e86\u6839\u56e0\uff1a\u5012\u6392\u7d22\u5f15\u6761\u4ef6\u88ab\u4f18\u5316\u5668\u8f6c\u6210\u524d\u5411\u626b\u63cf\u65f6\uff0c\u6d6e\u70b9\u8fb9\u754c\u7528 <code>std::to_string()<\/code> \u8f6c\u56de\u6587\u672c\uff0c\u8fd9\u4e2a build \u91cc\u53ea\u4fdd\u7559 6 \u4f4d\u5c0f\u6570\uff0c\u5bfc\u81f4 <code>price &gt; 1.0000001<\/code> \u5b9e\u9645\u53d8\u6210\u4e86 <code>price &gt; 1.000000<\/code>\uff0c\u591a\u8fd4\u56de\u4e86\u8fb9\u754c\u4e0a\u7684 50 \u6761\u3002<\/p>\n<pre><code class=\"language-text\">price &gt; 1.0000001 and weight &gt; 1.0000000001 each return 1,001 documents.\nEach should return 951.\n<\/code><\/pre>\n<p>\u540c\u6837\u5df2\u4fee\uff1a<a href=\"https:\/\/github.com\/alibaba\/zvec\/issues\/817\">Issue #817 FLOAT and DOUBLE range filters include documents at an excluded bound<\/a>\u3002<\/p>\n<p><strong>\u5751\u56db\uff1a<code>group_by_query<\/code> \u5728\u771f\u5b9e\u6570\u636e\u4e0a\u8fd4\u56de\u7a7a\u3002<\/strong> #781 \u62a5\u7684\uff0c0.7.0 \u7248\u672c\u5f15\u5165\uff0c0.7.0 \u91cd\u6784\u540e\u4e00\u76f4\u574f\uff1a\u65e5\u5fd7\u91cc\u5237 <code>ID is out or range: id[18446744073709551615]<\/code>\uff0c\u90a3\u4e2a\u6570\u662f UINT64_MAX\uff0c\u5185\u90e8\u54e8\u5175\u503c\u88ab\u5f53\u6210\u771f\u6587\u6863 ID \u4f20\u8fdb\u4e86\u8fc7\u6ee4\u903b\u8f91\u3002\u666e\u901a <code>query()<\/code> \u6b63\u5e38\uff0c\u6240\u4ee5\u7d22\u5f15\u548c\u6570\u636e\u90fd\u6ca1\u95ee\u9898\uff0c\u5c31\u662f\u8fd9\u4e2a API \u574f\u4e86\u3002<\/p>\n<pre><code class=\"language-text\">Collection.group_by_query returns empty results with ID-out-of-range errors\n<\/code><\/pre>\n<p>\u8fd9\u6761\u5230\u4eca\u5929\u8fd8\u662f open\uff1a<a href=\"https:\/\/github.com\/alibaba\/zvec\/issues\/781\">Issue #781 group_by_query returns empty results<\/a>\u3002<\/p>\n<p><strong>HN \u4e0a\u7684\u4e89\u8bba\u6bd4 issue \u70ed\u95f9\u3002<\/strong> \u90a3\u4e2a\u5e16\u5b50\u4e0a\u5468\uff082026-02-13\uff09\u53d1\u51fa\u6765\uff0c226 \u5206 45 \u6761\u8bc4\u8bba\uff0c\u662f zvec \u81f3\u4eca\u70ed\u5ea6\u6700\u9ad8\u7684\u8ba8\u8bba\uff1a<a href=\"https:\/\/news.ycombinator.com\/item?id=47000535\">Zvec: A lightweight, fast, in-process vector database<\/a>\u3002<\/p>\n<p>\u5e16\u5b50\u91cc\u6700\u624e\u773c\u7684\u4e00\u6761\u6765\u81ea Simon Willison\uff1a<\/p>\n<blockquote>\n<p>Their self-reported benchmarks have them out-performing pinecone by 7x in queries-per-second. I&#8217;d love to see those results independently verified, and I&#8217;d also love a good explanation of how they&#8217;re getting such great performance.<\/p>\n<\/blockquote>\n<p>\u5bf9\uff0c8K QPS \u8fd9\u4e2a\u6570\u5b57\u6ca1\u6709\u7b2c\u4e09\u65b9\u72ec\u7acb\u9a8c\u8bc1\u3002<\/p>\n<p>\u66f4\u503c\u5f97\u770b\u7684\u662f\u4f5c\u8005 luoxiaojian \u672c\u4eba\u7684\u56de\u590d\u3002\u4ed6\u5728\u597d\u51e0\u4e2a\u697c\u91cc\u90fd\u51fa\u73b0\u4e86\uff0c\u6001\u5ea6\u5f88\u5766\u7387\u2014\u2014\u4ed6\u627f\u8ba4\u5728 VectorDBBench \u7684\u8bbe\u5b9a\u4e0b\uff081000 \u4e07\u6761 768 \u7ef4\uff09\u770b\u5230\u7684\u662f\u699c\u9996\u7684\u4e24\u500d\u541e\u5410\uff0c\u4f46\u4e5f\u53cd\u590d\u5f3a\u8c03\uff1a<\/p>\n<blockquote>\n<p>throughput numbers alone can be misleading without context on recall, dataset size, distribution, hardware, distance metric, and other relevant factors.<\/p>\n<\/blockquote>\n<p>\u8fd9\u6761\u6211\u5f88\u8ba4\u540c\u3002QPS \u5355\u72ec\u62ff\u51fa\u6765\u6ca1\u6709\u610f\u4e49\uff0crecall \u548c\u6570\u636e\u96c6\u89c4\u6a21\u624d\u662f\u5206\u6bcd\u3002<\/p>\n<p>USearch \u7684\u4f5c\u8005 ashvardanian \u4e5f\u6765\u4e86\uff0c\u6cfc\u4e86\u76c6\u51b7\u6c34\uff1a8K QPS \u5728\u90a3\u4e2a\u914d\u7f6e\u4e0a\u300c\u76f8\u5f53\u5e73\u51e1\u300d\uff0c\u4ed6 2023 \u5e74\u5728\u53cc\u8def\u670d\u52a1\u5668\u4e0a\u8dd1 1 \u4ebf\u5230 10 \u4ebf\u6570\u636e\u96c6\u5c31\u8f7b\u677e\u505a\u5230 100K QPS\u3002Redis \u4f5c\u8005 antirez \u5219\u8bf4 Redis Vector Sets \u5728\u540c\u6837\u91cf\u7ea7\u80fd\u5230 2 \u4e07\u5230 5 \u4e07 QPS\u3002<\/p>\n<p>\u4f5c\u8005\u5728 antirez \u90a3\u6761\u4e0b\u9762\u56de\u5f97\u5f88\u5b9e\u5728\uff0c\u627f\u8ba4\u91cf\u5316\u3001\u7ef4\u5ea6\u3001\u7ebf\u7a0b\u6570\u90fd\u4f1a\u663e\u8457\u5f71\u54cd\u7ed3\u679c\uff0c\u6ca1\u6709\u786c\u9876\u3002<\/p>\n<p><strong>\u793e\u533a\u89c4\u6a21\u3002<\/strong> 37 \u4e2a\u8d21\u732e\u8005\uff0c1013 \u4e2a fork\uff0cissue \u7d2f\u8ba1 827 \u6761\u3001\u5f53\u524d open 98 \u6761\u3002\u6398\u91d1\u4e0a\u6709\u7bc7\u5b9e\u6d4b\u7b14\u8bb0\u7ed9\u7684\u8bc4\u4ef7\u662f\u300c\u5b89\u88c5\u771f\u7684\u5c31\u662f pip install zvec\uff0c\u6ca1\u6709\u4efb\u4f55\u5751\u300d\uff0c\u4f46\u540c\u65f6\u627f\u8ba4\u300c\u751f\u6001\u63d2\u4ef6\u8fd8\u4e0d\u591a\uff0cLangChain\/LlamaIndex \u7684\u96c6\u6210\u8fd8\u6bd4\u8f83\u521d\u7ea7\u300d\u3002\u8fd9\u4e2a\u8bc4\u4ef7\u6211\u540c\u610f\u2014\u2014\u5b98\u65b9 README \u91cc LangChain\u3001LlamaIndex\u3001ReMe \u8fd9\u4e9b\u96c6\u6210\u793a\u4f8b\u90fd\u662f\u7b2c\u4e09\u65b9\u793e\u533a\u4ed3\u5e93\uff0c\u4e0d\u662f\u5b98\u65b9\u7ef4\u62a4\u7684\u3002<\/p>\n<h2 id=\"_12\">\u6211\u6700\u540e\u7684\u5224\u65ad<\/h2>\n<p><strong>\u503c\u4e0d\u503c\u5f97\u4e0a\u624b\uff1f<\/strong> \u5982\u679c\u4f60\u7684\u68c0\u7d22\u662f\u67d0\u4e2a\u5e94\u7528\u8fdb\u7a0b\u7684\u4e00\u90e8\u5206\u2014\u2014\u684c\u9762\u5de5\u5177\u3001CLI\u3001\u5355\u673a\u670d\u52a1\u3001\u8fb9\u7f18\u8bbe\u5907\u3001\u667a\u80fd\u4f53\u7684\u8bb0\u5fc6\u5e93\u2014\u2014\u503c\u5f97\uff0c\u800c\u4e14\u6211\u8ba4\u4e3a\u662f\u76ee\u524d\u6700\u8212\u670d\u7684\u9009\u9879\u3002<code>pip install<\/code> \u4e00\u884c\u641e\u5b9a\uff0c172MB \u6362 1.9 \u6beb\u79d2\u4e2d\u4f4d\u5ef6\u8fdf\uff0c\u6df7\u5408\u68c0\u7d22\u5f00\u7bb1\u5e26\u4e2d\u6587\u5206\u8bcd\uff0c\u8fd9\u5957\u7ec4\u5408\u5728\u5d4c\u5165\u5f0f\u8d5b\u9053\u91cc\u6211\u6ca1\u89c1\u5230\u66f4\u7701\u4e8b\u7684\u3002<\/p>\n<p><strong>\u9002\u5408\u8c01<\/strong>\uff1a\u5355\u8fdb\u7a0b\u5e94\u7528\u3001\u9700\u8981\u672c\u5730\/\u79bb\u7ebf RAG\u3001\u4e0d\u60f3\u7ef4\u62a4\u4efb\u4f55\u5411\u91cf\u670d\u52a1\u96c6\u7fa4\u3001\u56e2\u961f\u91cc\u6ca1\u6709\u4e13\u95e8\u505a\u57fa\u7840\u8bbe\u65bd\u7684\u4eba\u3002<\/p>\n<p><strong>\u4e0d\u9002\u5408\u8c01<\/strong>\uff1a\u9700\u8981\u591a\u526f\u672c\u5171\u4eab\u7d22\u5f15\u3001\u9700\u8981\u72ec\u7acb\u6a2a\u5411\u6269\u5bb9\u7684\u68c0\u7d22\u670d\u52a1\u3001\u591a\u5fae\u670d\u52a1\u5171\u4eab\u4e00\u4efd\u5411\u91cf\u6570\u636e\u2014\u2014\u8fd9\u4e09\u4e2a\u76f4\u63a5\u6392\u9664\uff0c\u522b\u6d6a\u8d39\u65f6\u95f4\u3002<\/p>\n<p><strong>\u70b9\u540d\u4e24\u4e2a\u66ff\u4ee3\u65b9\u6848\uff0c\u5bf9\u6bd4\u7ef4\u5ea6\u8bf4\u6e05\u695a\uff1a<\/strong><\/p>\n<p><strong>vs. Milvus<\/strong>\uff0846,516 star\uff0cGo\uff09\uff1a\u5206\u5e03\u5f0f\u80fd\u529b\u3001\u6a2a\u5411\u6269\u5c55\u3001\u6570\u636e\u89c4\u6a21\u4e0a\u9650\uff0cMilvus \u662f\u78be\u538b\u6027\u7684\u8d62\u3002zvec \u8d62\u5728\u96f6\u8fd0\u7ef4\u6210\u672c\u548c\u8fdb\u7a0b\u5185\u5ef6\u8fdf\u3002\u6211\u7684\u9009\u6cd5\u662f\uff1a\u5355\u673a\u591f\u7528\u5c31 zvec\uff0c\u4e00\u65e6\u9700\u8981\u591a\u526f\u672c\u5c31\u8001\u5b9e\u4e0a Milvus\u3002<\/p>\n<p><strong>vs. sqlite-vec<\/strong>\uff088,224 star\uff0cC\uff09\uff1a\u8fd9\u4e2a\u624d\u662f\u771f\u6b63\u7684\u540c\u7c7b\u5bf9\u624b\uff0c\u90fd\u662f\u8fdb\u7a0b\u5185\u3001\u90fd\u662f\u5355\u6587\u4ef6\u3002\u5dee\u522b\u5728\u4e24\u70b9\u2014\u2014sqlite-vec \u662f\u4e2a SQLite \u6269\u5c55\uff0c\u5f97\u81ea\u5df1\u7ba1 SQLite \u7684\u8868\u7ed3\u6784\u548c SQL\uff1bzvec \u662f\u539f\u751f\u5411\u91cf\u7d22\u5f15\uff0c\u81ea\u5e26 HNSW\/IVF\/DiskANN\/FTS \u5168\u5957\u548c\u7a00\u758f\u5411\u91cf\u652f\u6301\uff0c\u5728\u68c0\u7d22\u8fd9\u4e00\u5c42\u529f\u80fd\u66f4\u5b8c\u6574\u3002\u4f46 sqlite-vec \u66f4\u8f7b\uff0c\u4e14\u5df2\u7ecf\u5728\u7528 SQLite \u7684\u8bdd\uff0c\u8fc1\u79fb\u6210\u672c\u51e0\u4e4e\u4e3a\u96f6\u3002<strong>SQLite \u7528\u5f97\u5f88\u719f\u7684\u8bdd\uff0c\u6211\u4f1a\u5efa\u8bae\u5148\u8bd5 sqlite-vec<\/strong>\uff1b\u4ece\u96f6\u5f00\u59cb\u505a\u68c0\u7d22\u5c42\u7684\u8bdd\uff0czvec \u7684\u80fd\u529b\u96c6\u66f4\u7701\u5fc3\u3002<\/p>\n<p>\u987a\u5e26\u8bf4\u4e00\u53e5\uff0czvec \u5b98\u65b9\u8fd8\u6709\u4e2a <code>zvec-grep<\/code>\uff08\u547d\u4ee4 <code>zg<\/code>\uff09\u2014\u2014\u628a ripgrep\u3001BM25\u3001\u5411\u91cf\u68c0\u7d22\u7edf\u4e00\u8d77\u6765\u7684\u672c\u5730\u641c\u7d22 CLI\uff0c\u8fd8\u80fd\u5f53 MCP Server \u7528\u3002\u5b98\u65b9\u8bf4\u5728 SWE-QA \u57fa\u51c6\u4e0a\u56de\u7b54\u8d28\u91cf +1.5pp\u3001\u8f93\u5165 Token \u5c11 47%\u3001\u5de5\u5177\u8c03\u7528\u5c11 38%\u3002\u8fd9\u4e2a\u6570\u5b57\u6211\u6ca1\u9a8c\u8bc1\uff0c\u4f46\u4ece\u8bbe\u8ba1\u601d\u8def\u4e0a\u770b\uff0c\u628a\u300c\u7cbe\u786e\u5339\u914d\u300d\u548c\u300c\u8bed\u4e49\u53ec\u56de\u300d\u653e\u8fdb\u540c\u4e00\u4e2a\u5de5\u5177\u91cc\uff0c\u8ba9\u667a\u80fd\u4f53\u81ea\u5df1\u5728\u4e24\u8005\u95f4\u5207\u6362\uff0c\u8fd9\u4e2a\u601d\u8def\u662f\u5bf9\u7684\u3002<\/p>\n<p>\u4e00\u53e5\u8bdd\uff1a<strong>zvec \u4e0d\u662f\u8981\u53d6\u4ee3 Milvus\uff0c\u5b83\u662f\u7ed9\u90a3\u4e9b\u300c\u4e0d\u9700\u8981\u670d\u52a1\u300d\u7684\u4eba\u51c6\u5907\u7684<\/strong>\u3002\u6211\u90a3\u4e2a\u7b14\u8bb0\u641c\u7d22\u7684\u65e7\u9879\u76ee\uff0c\u5982\u679c\u91cd\u6765\u4e00\u6b21\uff0c\u6211\u4f1a\u5148 zvec \u8bd5\u8bd5\u3002<\/p>\n<p>\u603b\u800c\u8a00\u4e4b\uff0c\u8fd9\u4e2a\u9879\u76ee\u6211\u7ed9\u5b83\u7684\u5b9a\u4f4d\u662f\u300c\u5411\u91cf\u5e93\u91cc\u7684 SQLite\u300d\u2014\u2014\u8fd9\u4e2a\u7c7b\u6bd4\u76f8\u5f53\u8d34\u5207\uff0c\u56e0\u4e3a\u5b83\u5c31\u662f\u7167\u7740 SQLite \u7684\u8def\u5b50\u505a\u7684\uff1a\u5d4c\u5165\u8fdb\u7a0b\u3001\u5355\u4e2a\u76ee\u5f55\u3001\u65e0\u670d\u52a1\u3001\u65e0\u8fd0\u7ef4\u30021.6 \u4e07 star \u4ece\u53bb\u5e74 12 \u6708\u5230\u73b0\u5728\u4e0d\u5230\u4e00\u5e74\u6da8\u8d77\u6765\uff0c\u4e0d\u662f\u5237\u51fa\u6765\u7684\uff0c37 \u4e2a\u8d21\u732e\u8005\u91cc\u524d\u4e94\u540d\u8d21\u732e\u91cf\u90fd\u5728 40 \u4ee5\u4e0a\uff0c\u8bf4\u660e\u662f\u771f\u6709\u4eba\u5728\u6301\u7eed\u6253\u78e8\u3002<\/p>\n<p>\u6700\u540e\u8bf4\u53e5\u5b9e\u5728\u7684\uff0c\u5b83\u6700\u5927\u7684\u77ed\u677f\u4e0d\u662f\u6027\u80fd\uff0c\u662f<strong>\u5e76\u53d1\u6a21\u578b\u548c\u6587\u6863\u4e4b\u95f4\u6709\u843d\u5dee<\/strong>\uff0c\u800c\u4e14\u8fd9\u843d\u5dee\u4f1a\u54ac\u4eba\u3002\u6211\u8981\u662f\u65e9\u4e24\u5468\u770b\u5230 #586 \u800c\u4e0d\u662f\u81ea\u5df1\u649e\u4e0a\uff0c\u53ef\u80fd\u5c31\u4e0d\u4f1a\u5728\u67b6\u6784\u8bbe\u8ba1\u4e0a\u591a\u7ed5\u4e00\u5708\u4e86\u3002\u4e0a\u624b\u4e4b\u524d\u5148\u628a\u300c\u5355\u8fdb\u7a0b\u72ec\u5360\u300d\u8fd9\u6761\u523b\u5728\u8111\u5b50\u91cc\uff0c\u5269\u4e0b\u7684\u90fd\u662f\u597d\u813e\u6c14\u7684\u95ee\u9898\u2014\u2014\u88c5\u4e0d\u4e0a\u6362\u955c\u50cf\uff0cBM25 \u7f3a <code>dashtext<\/code> \u6362\u4e2a Python \u7248\u672c\uff0c\u6df7\u5408\u68c0\u7d22\u5fd8\u4e86 reranker \u62a5\u9519\u4fe1\u606f\u8fd8\u633a\u6e05\u695a\u3002<\/p>\n<p>\u987a\u624b\u62c9\u4e86\u4e0b\uff0c\u73b0\u5728\u662f 16,160 \u4e2a star\uff0cv0.8.0 \u7248\u672c 10 \u6708 21 \u65e5\u53d1\u5e03\uff0c\u6700\u8fd1\u56db\u5468 23 \u6b21\u63d0\u4ea4\uff0c37 \u4e2a\u8d21\u732e\u8005\u5728\u770b\u7740\u3002\u56fd\u4ea7\u9879\u76ee\u91cc\uff0c\u8fd9\u4e2a\u7ef4\u62a4\u5bc6\u5ea6\u548c README \u8d28\u91cf\u90fd\u7b97\u4e0a\u4e58\u7684\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e3a\u4e86\u641c\u51e0\u4e07\u6761\u7b14\u8bb0\uff0c\u6211\u66fe\u62c9\u8d77\u4e00\u6574\u5957 Milvus \u96c6\u7fa4\uff0c\u7ed3\u679c\u53d1\u73b0\u5ba2\u6237\u7aef SQLite \u68c0\u7d22\u7ed3\u679c\u4e00\u6837\u51c6\u3002\u963f\u91cc\u5f00\u6e90\u7684 zvec \u628a\u5411\u91cf\u5e93\u76f4\u63a5\u585e\u8fdb\u8fdb\u7a0b\u91cc\uff0c\u6211\u88c5\u5b8c\u5b9e\u6d4b\uff1a5 \u4e07\u6761 768 \u7ef4\u67e5\u8be2 p50 1.88 \u6beb\u79d2\uff0c\u4e2d\u6587 jieba \u5206\u8bcd\u5f00\u7bb1\u5373\u7528\uff0c\u6df7\u5408\u68c0\u7d22\u5f3a\u5236\u8981\u6c42 reranker\u3002\u4f46\u5b83\u5355\u8fdb\u7a0b\u72ec\u5360\u5199\u5165\uff0cREADME 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