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是作为单独服务器运行的向量数据库。当文档较多、搜索数据超过数万条，或希望将 AI 搜索数据与 SpaceBuilder 服务器分开运营时使用。",[1167,1171,1172],{},"即使使用 Qdrant，原始文件和文档文本仍保留在 SpaceBuilder 中。Qdrant 中只存储搜索所需的向量和最少量的信息。",[1174,1175],"hr",{},[1177,1178,1179],"h2",{"id":1179},"开始之前",[1181,1182,1183,1187,1190],"ul",{},[1184,1185,1186],"li",{},"所需权限：Workspace 管理员，以及管理 Qdrant 连接信息的权限",[1184,1188,1189],{},"SpaceBuilder 服务器必须能够访问 Qdrant 的 REST 和 gRPC 端点。",[1184,1191,1192],{},"确认嵌入模型的输出维度。",[1177,1194,1196],{"id":1195},"安装-qdrant","安装 Qdrant",[1167,1198,1199,1200,1205],{},"需要一个 SpaceBuilder 服务器能够访问的 Qdrant 服务器。如果已有正在运行的 Qdrant，请跳过本节，直接前往",[1201,1202,1204],"a",{"href":1203},"#%E8%BF%9E%E6%8E%A5%E8%AE%BE%E7%BD%AE","连接设置","。",[1167,1207,1208],{},"使用 Docker 安装 Qdrant 最为简单。以下步骤假定 Linux 服务器上已安装 Docker。",[1210,1211,1212],"h3",{"id":1212},"准备",[1214,1215,1216,1229],"table",{},[1217,1218,1219],"thead",{},[1220,1221,1222,1226],"tr",{},[1223,1224,1225],"th",{},"项目",[1223,1227,1228],{},"内容",[1230,1231,1232,1241,1254,1262],"tbody",{},[1220,1233,1234,1238],{},[1235,1236,1237],"td",{},"服务器",[1235,1239,1240],{},"可以与 SpaceBuilder 放在同一台服务器上，也可以使用单独的服务器。如果在同一台服务器上，会与 SpaceBuilder 共享内存，请预留充足的余量。",[1220,1242,1243,1246],{},[1235,1244,1245],{},"内存",[1235,1247,1248,1249,1253],{},"为了保证搜索速度，向量会加载到内存中。按 Qdrant 推荐的计算公式（向量数 × 维度 × 4 字节 × 1.5），以 ",[1250,1251,1252],"code",{},"bge-m3","（1024 维）为准，10 万个向量约需 0.6GB，100 万个向量约需 6GB。",[1220,1255,1256,1259],{},[1235,1257,1258],{},"磁盘",[1235,1260,1261],{},"由于向量和文档片段文本会一起存储，请预留内存需求量的 2～3 倍。",[1220,1263,1264,1267],{},[1235,1265,1266],{},"端口",[1235,1268,1269,1272,1273,1276],{},[1250,1270,1271],{},"6333","（REST API）和 ",[1250,1274,1275],{},"6334","（gRPC）。SpaceBuilder 优先使用 gRPC，无法连接时切换为 REST。",[1210,1278,1279],{"id":1279},"运行",[1167,1281,1282,1283,1286],{},"请务必挂载存储文件夹，以便删除容器后数据仍然保留。以下示例将数据保存在 ",[1250,1284,1285],{},"/data/qdrant","，并设置为服务器重启后也会自动重新启动。",[1167,1288,1289,1290,1293,1294,1297,1298,1304],{},"镜像版本通过 ",[1250,1291,1292],{},"QDRANT_VERSION"," 变量固定。如果不指定版本，会安装 ",[1250,1295,1296],{},"latest","，在重新创建容器时可能会意外升级版本。以下版本是编写本文档时的示例。实际安装时，请在 ",[1201,1299,1303],{"href":1300,"rel":1301},"https://github.com/qdrant/qdrant/releases",[1302],"nofollow","Qdrant 发布页面","中换成组织已验证的版本。",[1306,1307,1312],"pre",{"className":1308,"code":1309,"language":1310,"meta":1311,"style":1311},"language-bash shiki shiki-themes github-light github-dark monokai","QDRANT_VERSION=v1.19.1\nsudo mkdir -p /data/qdrant\n\ndocker run -d --name qdrant \\\n  --restart unless-stopped \\\n  -p 6333:6333 \\\n  -p 6334:6334 \\\n  -v /data/qdrant:/qdrant/storage \\\n  qdrant/qdrant:${QDRANT_VERSION}\n","bash","",[1250,1313,1314,1330,1347,1354,1375,1386,1397,1407,1418],{"__ignoreMap":1311},[1315,1316,1319,1322,1326],"span",{"class":1317,"line":1318},"line",1,[1315,1320,1292],{"class":1321},"sMOD_",[1315,1323,1325],{"class":1324},"sC2Qs","=",[1315,1327,1329],{"class":1328},"sstjo","v1.19.1\n",[1315,1331,1333,1337,1340,1344],{"class":1317,"line":1332},2,[1315,1334,1336],{"class":1335},"srTi1","sudo",[1315,1338,1339],{"class":1328}," mkdir",[1315,1341,1343],{"class":1342},"s7F3e"," -p",[1315,1345,1346],{"class":1328}," /data/qdrant\n",[1315,1348,1350],{"class":1317,"line":1349},3,[1315,1351,1353],{"emptyLinePlaceholder":1352},true,"\n",[1315,1355,1357,1360,1363,1366,1369,1372],{"class":1317,"line":1356},4,[1315,1358,1359],{"class":1335},"docker",[1315,1361,1362],{"class":1328}," run",[1315,1364,1365],{"class":1342}," -d",[1315,1367,1368],{"class":1342}," --name",[1315,1370,1371],{"class":1328}," qdrant",[1315,1373,1374],{"class":1342}," \\\n",[1315,1376,1378,1381,1384],{"class":1317,"line":1377},5,[1315,1379,1380],{"class":1342},"  --restart",[1315,1382,1383],{"class":1328}," unless-stopped",[1315,1385,1374],{"class":1342},[1315,1387,1389,1392,1395],{"class":1317,"line":1388},6,[1315,1390,1391],{"class":1342},"  -p",[1315,1393,1394],{"class":1328}," 6333:6333",[1315,1396,1374],{"class":1342},[1315,1398,1400,1402,1405],{"class":1317,"line":1399},7,[1315,1401,1391],{"class":1342},[1315,1403,1404],{"class":1328}," 6334:6334",[1315,1406,1374],{"class":1342},[1315,1408,1410,1413,1416],{"class":1317,"line":1409},8,[1315,1411,1412],{"class":1342},"  -v",[1315,1414,1415],{"class":1328}," /data/qdrant:/qdrant/storage",[1315,1417,1374],{"class":1342},[1315,1419,1421,1424],{"class":1317,"line":1420},9,[1315,1422,1423],{"class":1328},"  qdrant/qdrant:",[1315,1425,1426],{"class":1321},"${QDRANT_VERSION}\n",[1167,1428,1429],{},"如果与 SpaceBuilder 运行在不同的服务器上，或处于多人可以访问的网络中，请同时启用 API 密钥。密钥应设置为较长且难以猜测的值。",[1306,1431,1433],{"className":1308,"code":1432,"language":1310,"meta":1311,"style":1311},"QDRANT_VERSION=v1.19.1\ndocker run -d --name qdrant \\\n  --restart unless-stopped \\\n  -p 6333:6333 \\\n  -p 6334:6334 \\\n  -v /data/qdrant:/qdrant/storage \\\n  -e QDRANT__SERVICE__API_KEY='\u003CAPI 密钥>' \\\n  qdrant/qdrant:${QDRANT_VERSION}\n",[1250,1434,1435,1443,1457,1465,1473,1481,1489,1499],{"__ignoreMap":1311},[1315,1436,1437,1439,1441],{"class":1317,"line":1318},[1315,1438,1292],{"class":1321},[1315,1440,1325],{"class":1324},[1315,1442,1329],{"class":1328},[1315,1444,1445,1447,1449,1451,1453,1455],{"class":1317,"line":1332},[1315,1446,1359],{"class":1335},[1315,1448,1362],{"class":1328},[1315,1450,1365],{"class":1342},[1315,1452,1368],{"class":1342},[1315,1454,1371],{"class":1328},[1315,1456,1374],{"class":1342},[1315,1458,1459,1461,1463],{"class":1317,"line":1349},[1315,1460,1380],{"class":1342},[1315,1462,1383],{"class":1328},[1315,1464,1374],{"class":1342},[1315,1466,1467,1469,1471],{"class":1317,"line":1356},[1315,1468,1391],{"class":1342},[1315,1470,1394],{"class":1328},[1315,1472,1374],{"class":1342},[1315,1474,1475,1477,1479],{"class":1317,"line":1377},[1315,1476,1391],{"class":1342},[1315,1478,1404],{"class":1328},[1315,1480,1374],{"class":1342},[1315,1482,1483,1485,1487],{"class":1317,"line":1388},[1315,1484,1412],{"class":1342},[1315,1486,1415],{"class":1328},[1315,1488,1374],{"class":1342},[1315,1490,1491,1494,1497],{"class":1317,"line":1399},[1315,1492,1493],{"class":1342},"  -e",[1315,1495,1496],{"class":1328}," QDRANT__SERVICE__API_KEY='\u003CAPI 密钥>'",[1315,1498,1374],{"class":1342},[1315,1500,1501,1503],{"class":1317,"line":1409},[1315,1502,1423],{"class":1328},[1315,1504,1426],{"class":1321},[1210,1506,1507],{"id":1507},"验证安装",[1306,1509,1511],{"className":1308,"code":1510,"language":1310,"meta":1311,"style":1311},"curl http://localhost:6333/collections\n",[1250,1512,1513],{"__ignoreMap":1311},[1315,1514,1515,1518],{"class":1317,"line":1318},[1315,1516,1517],{"class":1335},"curl",[1315,1519,1520],{"class":1328}," http://localhost:6333/collections\n",[1167,1522,1523,1524,1527,1528,1531,1532,1535],{},"如果返回包含 ",[1250,1525,1526],{},"\"status\":\"ok\""," 的响应，则表示正常。如果启用了 API 密钥，需要像 ",[1250,1529,1530],{},"curl -H 'api-key: \u003CAPI 密钥>' http://localhost:6333/collections"," 这样加上 ",[1250,1533,1534],{},"api-key"," 标头才会有响应。",[1167,1537,1538,1539,1542],{},"在浏览器中打开 ",[1250,1540,1541],{},"http://\u003CQdrant 服务器地址>:6333/dashboard","，可以看到用于查看集合和已存储数据的仪表板。",[1210,1544,1545],{"id":1545},"运维提示",[1181,1547,1548,1565,1578],{},[1184,1549,1550,1554,1555,1557,1558,1561,1562,1564],{},[1551,1552,1553],"strong",{},"更新","：请按照 Qdrant 官方升级指南，逐级升级次版本（例如：1.12 → 1.13）。将 ",[1250,1556,1292],{}," 改为下一个版本，用 ",[1250,1559,1560],{},"docker pull qdrant/qdrant:${QDRANT_VERSION}"," 拉取镜像后，删除容器并用相同的命令重新运行。数据会保留在 ",[1250,1563,1285],{}," 中。",[1184,1566,1567,1570,1571,1573,1574,1577],{},[1551,1568,1569],{},"备份","：停止容器后整体复制 ",[1250,1572,1285],{}," 文件夹，或使用 Qdrant 的快照 API。不过，向量是可以从原始文件重新生成的派生数据，即使没有备份，也可以通过 SpaceBuilder 的 ",[1250,1575,1576],{},"同步已有嵌入"," 重新填充向量数据库。",[1184,1579,1580,1583,1584,1586,1587,1589],{},[1551,1581,1582],{},"防火墙","：请限制为只有 SpaceBuilder 服务器可以访问 ",[1250,1585,1271],{}," 和 ",[1250,1588,1275],{}," 端口。如果需要通过 HTTPS 访问，建议在 Qdrant 前面部署反向代理。",[1177,1591,1204],{"id":1204},[1167,1593,1594,1595,1598,1599,1602],{},"在",[1201,1596,220],{"href":1597},"/zh/docs/admin/knowledge/storage/","页面的 ",[1250,1600,1601],{},"向量数据库设置"," 中按如下方式输入并保存。",[1214,1604,1605,1617],{},[1217,1606,1607],{},[1220,1608,1609,1611,1614],{},[1223,1610,1225],{},[1223,1612,1613],{},"输入值",[1223,1615,1616],{},"说明",[1230,1618,1619,1632,1648,1661,1676,1687],{},[1220,1620,1621,1624,1629],{},[1235,1622,1623],{},"驱动程序",[1235,1625,1626],{},[1250,1627,1628],{},"Qdrant",[1235,1630,1631],{},"使用外部 Qdrant 服务器。",[1220,1633,1634,1637,1642],{},[1235,1635,1636],{},"REST 端点",[1235,1638,1639],{},[1250,1640,1641],{},"http://\u003CQdrant 服务器地址>:6333",[1235,1643,1644,1645,1205],{},"Qdrant 的 REST API 地址。留空时使用 ",[1250,1646,1647],{},"http://localhost:6333",[1220,1649,1650,1653,1658],{},[1235,1651,1652],{},"gRPC 端点（推荐）",[1235,1654,1655],{},[1250,1656,1657],{},"http://\u003CQdrant 服务器地址>:6334",[1235,1659,1660],{},"搜索和向量存储优先使用。留空时会根据 REST 地址自动推断，无法连接时切换为 REST。",[1220,1662,1663,1666,1669],{},[1235,1664,1665],{},"集合",[1235,1667,1668],{},"此实例（当前 SpaceBuilder）专用的名称",[1235,1670,1671,1672,1675],{},"建议使用页面上显示的建议名称（",[1250,1673,1674],{},"setfn_knowledge_...","）。",[1220,1677,1678,1681,1684],{},[1235,1679,1680],{},"API 密钥",[1235,1682,1683],{},"在 Qdrant 中设置的 API 密钥",[1235,1685,1686],{},"未启用认证时留空。已保存的值以掩码显示，不更改则保持原样。清空后保存即删除。",[1220,1688,1689,1692,1695],{},[1235,1690,1691],{},"向量维度",[1235,1693,1694],{},"嵌入模型的输出维度",[1235,1696,1697,1699,1700,1703],{},[1250,1698,1252],{}," 为 ",[1250,1701,1702],{},"1024","。选择模型后，已知模型会自动填入。",[1167,1705,1706,1707,1710],{},"Qdrant 属于服务型存储，因此不会显示 ",[1250,1708,1709],{},"数据路径"," 输入框。数据全部存储在 Qdrant 服务器上。",[1167,1712,1713],{},"保存后，索引调度器会立即检查新设置，并在需要时自动开始对全部原始文件重新索引。无需另外执行同步。",[1177,1715,1716],{"id":1716},"集合会自动创建",[1167,1718,1719],{},"无需在 Qdrant 仪表板中预先创建集合。SpaceBuilder 在存储第一条搜索数据时，会以设置的名称创建集合，并同时创建搜索过滤所需的索引。",[1214,1721,1722,1732],{},[1217,1723,1724],{},[1220,1725,1726,1729],{},[1223,1727,1728],{},"自动创建项目",[1223,1730,1731],{},"值",[1230,1733,1734,1742,1750,1758],{},[1220,1735,1736,1739],{},[1235,1737,1738],{},"向量格式",[1235,1740,1741],{},"无名称的单一向量（dense）",[1220,1743,1744,1747],{},[1235,1745,1746],{},"向量大小",[1235,1748,1749],{},"设置的向量维度",[1220,1751,1752,1755],{},[1235,1753,1754],{},"距离计算",[1235,1756,1757],{},"Cosine",[1220,1759,1760,1763],{},[1235,1761,1762],{},"过滤索引",[1235,1764,1765],{},"实例、世代、空间、所有者、原始路径",[1167,1767,1768,1769,1772,1773,1776,1777,1780],{},"首次索引之前，",[1250,1770,1771],{},"向量数据库概览"," 的 ",[1250,1774,1775],{},"集合配置"," 中会显示 ",[1250,1778,1779],{},"尚未创建 · 首次索引时自动创建","。这不是错误，等待索引开始即可。",[1210,1782,1783],{"id":1783},"手动创建集合时的注意事项",[1167,1785,1786,1787,1790,1791,1794,1795,1797,1798,1801],{},"在 Qdrant 仪表板的 ",[1250,1788,1789],{},"Create New Collection"," 页面中，使用 ",[1250,1792,1793],{},"Simple Hybrid Search"," 或带名称的向量（named vector）创建的集合与 SpaceBuilder 不兼容。如果指定了这类集合，",[1250,1796,1775],{}," 会显示 ",[1250,1799,1800],{},"集合配置需要检查","，并且索引会在存储阶段失败。",[1167,1803,1804,1805,1808,1809,1812],{},"如果必须手动创建集合，请在仪表板的 ",[1250,1806,1807],{},"Console"," 中执行以下请求。",[1250,1810,1811],{},"size"," 必须与设置的向量维度相同。",[1306,1814,1818],{"className":1815,"code":1816,"language":1817,"meta":1311,"style":1311},"language-http shiki shiki-themes github-light github-dark monokai","PUT /collections/setfn_knowledge_example\n{\n  \"vectors\": { \"size\": 1024, \"distance\": \"Cosine\" }\n}\n","http",[1250,1819,1820,1825,1830,1835],{"__ignoreMap":1311},[1315,1821,1822],{"class":1317,"line":1318},[1315,1823,1824],{},"PUT /collections/setfn_knowledge_example\n",[1315,1826,1827],{"class":1317,"line":1332},[1315,1828,1829],{},"{\n",[1315,1831,1832],{"class":1317,"line":1349},[1315,1833,1834],{},"  \"vectors\": { \"size\": 1024, \"distance\": \"Cosine\" }\n",[1315,1836,1837],{"class":1317,"line":1356},[1315,1838,1839],{},"}\n",[1841,1842,1843],"note",{},[1167,1844,1845],{},"如果已经有以错误格式创建的集合，请改用其他集合名称并保存，或者删除该集合后让 SpaceBuilder 重新创建。维度或距离计算方式不同的集合无法使用。",[1177,1847,1848],{"id":1848},"查看已存储的数据",[1167,1850,1851,1852,1854],{},"在 ",[1250,1853,1771],{}," 中查看 Qdrant 的状态。",[1214,1856,1857,1866],{},[1217,1858,1859],{},[1220,1860,1861,1863],{},[1223,1862,1225],{},[1223,1864,1865],{},"含义",[1230,1867,1868,1876,1884,1892],{},[1220,1869,1870,1873],{},[1235,1871,1872],{},"连接状态",[1235,1874,1875],{},"是否能够访问 Qdrant 服务器",[1220,1877,1878,1881],{},[1235,1879,1880],{},"已存储的向量数",[1235,1882,1883],{},"此实例存储的向量数。不包含使用同一集合的其他实例的数据。",[1220,1885,1886,1889],{},[1235,1887,1888],{},"集合数",[1235,1890,1891],{},"Qdrant 服务器上的全部集合数。也包含 SpaceBuilder 创建之外的集合。",[1220,1893,1894,1896],{},[1235,1895,1775],{},[1235,1897,1898],{},"所设置集合的维度和距离计算方式是否与 SpaceBuilder 一致",[1167,1900,1901],{},"1 个向量对应 1 个文档片段（块）。文档会根据格式先按章节、页或行拆分，再按以韩文计约 700～1,000 字的大小拆分后存储。因此向量数远多于文档数是正常的。",[1167,1903,1786,1904,1906],{},[1250,1905,1807],{}," 中可以查看实际存储的内容。",[1167,1908,1909],{},"查看每个文件的向量数：",[1306,1911,1913],{"className":1815,"code":1912,"language":1817,"meta":1311,"style":1311},"POST /collections/setfn_knowledge_example/facet\n{ \"key\": \"source_path\", \"limit\": 50 }\n",[1250,1914,1915,1920],{"__ignoreMap":1311},[1315,1916,1917],{"class":1317,"line":1318},[1315,1918,1919],{},"POST /collections/setfn_knowledge_example/facet\n",[1315,1921,1922],{"class":1317,"line":1332},[1315,1923,1924],{},"{ \"key\": \"source_path\", \"limit\": 50 }\n",[1841,1926,1927],{},[1167,1928,1929],{},"facet API 仅在 Qdrant 1.12 及以上版本中可用。如果多个实例共用同一个集合，其他实例存储的向量数也会被合并计算。",[1167,1931,1932],{},"查看部分已存储的文档片段：",[1306,1934,1936],{"className":1815,"code":1935,"language":1817,"meta":1311,"style":1311},"POST /collections/setfn_knowledge_example/points/scroll\n{ \"limit\": 10, \"with_payload\": [\"source_path\", \"text\"], \"with_vector\": false }\n",[1250,1937,1938,1943],{"__ignoreMap":1311},[1315,1939,1940],{"class":1317,"line":1318},[1315,1941,1942],{},"POST /collections/setfn_knowledge_example/points/scroll\n",[1315,1944,1945],{"class":1317,"line":1332},[1315,1946,1947],{},"{ \"limit\": 10, \"with_payload\": [\"source_path\", \"text\"], \"with_vector\": false }\n",[1949,1950,1951],"warning",{},[1167,1952,1953,1954,1956,1957,1205],{},"请勿在 Qdrant 仪表板中直接修改或删除点（point）。这会与 SpaceBuilder 记录的状态不一致，可能导致搜索结果缺失或清理任务反复执行。如果需要重新生成数据，请使用",[1201,1955,220],{"href":1597},"中的 ",[1250,1958,1959],{},"重建向量生成",[1177,1961,1963],{"id":1962},"多个实例共用一个-qdrant-时","多个实例共用一个 Qdrant 时",[1167,1965,1966,1967,1970],{},"如果每个实例使用不同的集合名称，数据会完全分离。如果直接使用默认集合名称（",[1250,1968,1969],{},"knowledge_vectors","），页面会显示警告，并给出此实例的建议名称。",[1167,1972,1973],{},"即使共用同一个集合，新存储的向量也会带有实例隔离键，搜索和删除只在各实例自己的数据范围内进行。不过，如果要按实例分别进行备份、容量管理和删除，拆分集合更为安全。",[1167,1975,1976],{},"如果同一台服务器上正在运行的其他 SpaceBuilder 项目使用了相同的集合，设置页面会显示警告。",[1177,1978,1979],{"id":1979},"相关文档",[1181,1981,1982,1986,1991,1996],{},[1184,1983,1984],{},[1201,1985,220],{"href":1597},[1184,1987,1988],{},[1201,1989,225],{"href":1990},"/zh/docs/admin/knowledge/storage-operations/",[1184,1992,1993],{},[1201,1994,240],{"href":1995},"/zh/docs/admin/knowledge/milvus/",[1184,1997,1998],{},[1201,1999,208],{"href":2000},"/zh/docs/admin/knowledge/indexing/",[2002,2003,2004],"style",{},"html pre.shiki code .sMOD_, html code.shiki .sMOD_{--shiki-default:#24292E;--shiki-dark:#E1E4E8;--shiki-sepia:#F8F8F2}html pre.shiki code .sC2Qs, html code.shiki .sC2Qs{--shiki-default:#D73A49;--shiki-dark:#F97583;--shiki-sepia:#F92672}html pre.shiki code .sstjo, html code.shiki .sstjo{--shiki-default:#032F62;--shiki-dark:#9ECBFF;--shiki-sepia:#E6DB74}html pre.shiki code .srTi1, html code.shiki .srTi1{--shiki-default:#6F42C1;--shiki-dark:#B392F0;--shiki-sepia:#A6E22E}html pre.shiki code .s7F3e, html code.shiki .s7F3e{--shiki-default:#005CC5;--shiki-dark:#79B8FF;--shiki-sepia:#AE81FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html .sepia .shiki span {color: var(--shiki-sepia);background: var(--shiki-sepia-bg);font-style: var(--shiki-sepia-font-style);font-weight: var(--shiki-sepia-font-weight);text-decoration: var(--shiki-sepia-text-decoration);}html.sepia .shiki span {color: var(--shiki-sepia);background: var(--shiki-sepia-bg);font-style: var(--shiki-sepia-font-style);font-weight: var(--shiki-sepia-font-weight);text-decoration: var(--shiki-sepia-text-decoration);}",{"title":1311,"searchDepth":1332,"depth":1349,"links":2006},[2007,2008,2014,2015,2018,2019,2020],{"id":1179,"depth":1332,"text":1179},{"id":1195,"depth":1332,"text":1196,"children":2009},[2010,2011,2012,2013],{"id":1212,"depth":1349,"text":1212},{"id":1279,"depth":1349,"text":1279},{"id":1507,"depth":1349,"text":1507},{"id":1545,"depth":1349,"text":1545},{"id":1204,"depth":1332,"text":1204},{"id":1716,"depth":1332,"text":1716,"children":2016},[2017],{"id":1783,"depth":1349,"text":1783},{"id":1848,"depth":1332,"text":1848},{"id":1962,"depth":1332,"text":1963},{"id":1979,"depth":1332,"text":1979},"介绍如何将外部向量数据库 Qdrant 连接为 SpaceBuilder 的向量数据库，以及如何查看集合和已存储的数据。","md",{},{"title":2025,"description":2021,"ogType":2026,"twitterCard":2027,"keywords":2028},"连接 Qdrant | Admin Docs","article","summary_large_image",[1628,2029,1665,2030,2031],"向量数据库","RAG","知识索引","EcMpjgg3VxinKhIG6H2eYx3WYoPazhRI1z2_i-OhDis",[2034,2035],{"title":225,"path":226,"stem":227,"slug":228,"children":-1},{"title":235,"path":236,"stem":237,"slug":238,"children":-1},{"title":230,"filename":2037,"content":2038},"qdrant","# 连接 Qdrant\n\nQdrant 是作为单独服务器运行的向量数据库。当文档较多、搜索数据超过数万条，或希望将 AI 搜索数据与 SpaceBuilder 服务器分开运营时使用。\n\n即使使用 Qdrant，原始文件和文档文本仍保留在 SpaceBuilder 中。Qdrant 中只存储搜索所需的向量和最少量的信息。\n\n---\n\n## 开始之前\n\n- 所需权限：Workspace 管理员，以及管理 Qdrant 连接信息的权限\n- SpaceBuilder 服务器必须能够访问 Qdrant 的 REST 和 gRPC 端点。\n- 确认嵌入模型的输出维度。\n\n## 安装 Qdrant\n\n需要一个 SpaceBuilder 服务器能够访问的 Qdrant 服务器。如果已有正在运行的 Qdrant，请跳过本节，直接前往[连接设置](#连接设置)。\n\n使用 Docker 安装 Qdrant 最为简单。以下步骤假定 Linux 服务器上已安装 Docker。\n\n### 准备\n\n| 项目 | 内容 |\n|------|------|\n| 服务器 | 可以与 SpaceBuilder 放在同一台服务器上，也可以使用单独的服务器。如果在同一台服务器上，会与 SpaceBuilder 共享内存，请预留充足的余量。 |\n| 内存 | 为了保证搜索速度，向量会加载到内存中。按 Qdrant 推荐的计算公式（向量数 × 维度 × 4 字节 × 1.5），以 `bge-m3`（1024 维）为准，10 万个向量约需 0.6GB，100 万个向量约需 6GB。 |\n| 磁盘 | 由于向量和文档片段文本会一起存储，请预留内存需求量的 2～3 倍。 |\n| 端口 | `6333`（REST API）和 `6334`（gRPC）。SpaceBuilder 优先使用 gRPC，无法连接时切换为 REST。 |\n\n### 运行\n\n请务必挂载存储文件夹，以便删除容器后数据仍然保留。以下示例将数据保存在 `/data/qdrant`，并设置为服务器重启后也会自动重新启动。\n\n镜像版本通过 `QDRANT_VERSION` 变量固定。如果不指定版本，会安装 `latest`，在重新创建容器时可能会意外升级版本。以下版本是编写本文档时的示例。实际安装时，请在 [Qdrant 发布页面](https://github.com/qdrant/qdrant/releases)中换成组织已验证的版本。\n\n```bash\nQDRANT_VERSION=v1.19.1\nsudo mkdir -p /data/qdrant\n\ndocker run -d --name qdrant \\\n  --restart unless-stopped \\\n  -p 6333:6333 \\\n  -p 6334:6334 \\\n  -v /data/qdrant:/qdrant/storage \\\n  qdrant/qdrant:${QDRANT_VERSION}\n```\n\n如果与 SpaceBuilder 运行在不同的服务器上，或处于多人可以访问的网络中，请同时启用 API 密钥。密钥应设置为较长且难以猜测的值。\n\n```bash\nQDRANT_VERSION=v1.19.1\ndocker run -d --name qdrant \\\n  --restart unless-stopped \\\n  -p 6333:6333 \\\n  -p 6334:6334 \\\n  -v /data/qdrant:/qdrant/storage \\\n  -e QDRANT__SERVICE__API_KEY='\u003CAPI 密钥>' \\\n  qdrant/qdrant:${QDRANT_VERSION}\n```\n\n### 验证安装\n\n```bash\ncurl http://localhost:6333/collections\n```\n\n如果返回包含 `\"status\":\"ok\"` 的响应，则表示正常。如果启用了 API 密钥，需要像 `curl -H 'api-key: \u003CAPI 密钥>' http://localhost:6333/collections` 这样加上 `api-key` 标头才会有响应。\n\n在浏览器中打开 `http://\u003CQdrant 服务器地址>:6333/dashboard`，可以看到用于查看集合和已存储数据的仪表板。\n\n### 运维提示\n\n- **更新**：请按照 Qdrant 官方升级指南，逐级升级次版本（例如：1.12 → 1.13）。将 `QDRANT_VERSION` 改为下一个版本，用 `docker pull qdrant/qdrant:${QDRANT_VERSION}` 拉取镜像后，删除容器并用相同的命令重新运行。数据会保留在 `/data/qdrant` 中。\n- **备份**：停止容器后整体复制 `/data/qdrant` 文件夹，或使用 Qdrant 的快照 API。不过，向量是可以从原始文件重新生成的派生数据，即使没有备份，也可以通过 SpaceBuilder 的 `同步已有嵌入` 重新填充向量数据库。\n- **防火墙**：请限制为只有 SpaceBuilder 服务器可以访问 `6333` 和 `6334` 端口。如果需要通过 HTTPS 访问，建议在 Qdrant 前面部署反向代理。\n\n## 连接设置\n\n在[知识存储](/zh/docs/admin/knowledge/storage/)页面的 `向量数据库设置` 中按如下方式输入并保存。\n\n| 项目 | 输入值 | 说明 |\n|------|---------|------|\n| 驱动程序 | `Qdrant` | 使用外部 Qdrant 服务器。 |\n| REST 端点 | `http://\u003CQdrant 服务器地址>:6333` | Qdrant 的 REST API 地址。留空时使用 `http://localhost:6333`。 |\n| gRPC 端点（推荐） | `http://\u003CQdrant 服务器地址>:6334` | 搜索和向量存储优先使用。留空时会根据 REST 地址自动推断，无法连接时切换为 REST。 |\n| 集合 | 此实例（当前 SpaceBuilder）专用的名称 | 建议使用页面上显示的建议名称（`setfn_knowledge_...`）。 |\n| API 密钥 | 在 Qdrant 中设置的 API 密钥 | 未启用认证时留空。已保存的值以掩码显示，不更改则保持原样。清空后保存即删除。 |\n| 向量维度 | 嵌入模型的输出维度 | `bge-m3` 为 `1024`。选择模型后，已知模型会自动填入。 |\n\nQdrant 属于服务型存储，因此不会显示 `数据路径` 输入框。数据全部存储在 Qdrant 服务器上。\n\n保存后，索引调度器会立即检查新设置，并在需要时自动开始对全部原始文件重新索引。无需另外执行同步。\n\n## 集合会自动创建\n\n无需在 Qdrant 仪表板中预先创建集合。SpaceBuilder 在存储第一条搜索数据时，会以设置的名称创建集合，并同时创建搜索过滤所需的索引。\n\n| 自动创建项目 | 值 |\n|----------------|-----|\n| 向量格式 | 无名称的单一向量（dense） |\n| 向量大小 | 设置的向量维度 |\n| 距离计算 | Cosine |\n| 过滤索引 | 实例、世代、空间、所有者、原始路径 |\n\n首次索引之前，`向量数据库概览` 的 `集合配置` 中会显示 `尚未创建 · 首次索引时自动创建`。这不是错误，等待索引开始即可。\n\n### 手动创建集合时的注意事项\n\n在 Qdrant 仪表板的 `Create New Collection` 页面中，使用 `Simple Hybrid Search` 或带名称的向量（named vector）创建的集合与 SpaceBuilder 不兼容。如果指定了这类集合，`集合配置` 会显示 `集合配置需要检查`，并且索引会在存储阶段失败。\n\n如果必须手动创建集合，请在仪表板的 `Console` 中执行以下请求。`size` 必须与设置的向量维度相同。\n\n```http\nPUT /collections/setfn_knowledge_example\n{\n  \"vectors\": { \"size\": 1024, \"distance\": \"Cosine\" }\n}\n```\n\n::note\n如果已经有以错误格式创建的集合，请改用其他集合名称并保存，或者删除该集合后让 SpaceBuilder 重新创建。维度或距离计算方式不同的集合无法使用。\n::\n\n## 查看已存储的数据\n\n在 `向量数据库概览` 中查看 Qdrant 的状态。\n\n| 项目 | 含义 |\n|------|------|\n| 连接状态 | 是否能够访问 Qdrant 服务器 |\n| 已存储的向量数 | 此实例存储的向量数。不包含使用同一集合的其他实例的数据。 |\n| 集合数 | Qdrant 服务器上的全部集合数。也包含 SpaceBuilder 创建之外的集合。 |\n| 集合配置 | 所设置集合的维度和距离计算方式是否与 SpaceBuilder 一致 |\n\n1 个向量对应 1 个文档片段（块）。文档会根据格式先按章节、页或行拆分，再按以韩文计约 700～1,000 字的大小拆分后存储。因此向量数远多于文档数是正常的。\n\n在 Qdrant 仪表板的 `Console` 中可以查看实际存储的内容。\n\n查看每个文件的向量数：\n\n```http\nPOST /collections/setfn_knowledge_example/facet\n{ \"key\": \"source_path\", \"limit\": 50 }\n```\n\n::note\nfacet API 仅在 Qdrant 1.12 及以上版本中可用。如果多个实例共用同一个集合，其他实例存储的向量数也会被合并计算。\n::\n\n查看部分已存储的文档片段：\n\n```http\nPOST /collections/setfn_knowledge_example/points/scroll\n{ \"limit\": 10, \"with_payload\": [\"source_path\", \"text\"], \"with_vector\": false }\n```\n\n::warning\n请勿在 Qdrant 仪表板中直接修改或删除点（point）。这会与 SpaceBuilder 记录的状态不一致，可能导致搜索结果缺失或清理任务反复执行。如果需要重新生成数据，请使用[知识存储](/zh/docs/admin/knowledge/storage/)中的 `重建向量生成`。\n::\n\n## 多个实例共用一个 Qdrant 时\n\n如果每个实例使用不同的集合名称，数据会完全分离。如果直接使用默认集合名称（`knowledge_vectors`），页面会显示警告，并给出此实例的建议名称。\n\n即使共用同一个集合，新存储的向量也会带有实例隔离键，搜索和删除只在各实例自己的数据范围内进行。不过，如果要按实例分别进行备份、容量管理和删除，拆分集合更为安全。\n\n如果同一台服务器上正在运行的其他 SpaceBuilder 项目使用了相同的集合，设置页面会显示警告。\n\n## 相关文档\n\n- [知识存储](/zh/docs/admin/knowledge/storage/)\n- [知识存储运维](/zh/docs/admin/knowledge/storage-operations/)\n- [连接 Milvus](/zh/docs/admin/knowledge/milvus/)\n- [采集与索引](/zh/docs/admin/knowledge/indexing/)\n",1793056629934]