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,"SpaceBuilderと同じサーバーでも、別のサーバーでも構いません。同じサーバーの場合はSpaceBuilderとメモリを分け合うため、余裕を持たせてください。",[1219,1241,1242,1245],{},[1234,1243,1244],{},"メモリ",[1234,1246,1247,1248,1252],{},"ベクトルは、検索速度のためにメモリ上に読み込まれます。Qdrantが推奨する計算式（ベクトル数 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API）と",[1249,1273,1274],{},"6334","（gRPC）。SpaceBuilderはgRPCを優先して使用し、接続できない場合はRESTに切り替えます。",[1209,1277,1278],{"id":1278},"実行",[1166,1280,1281,1282,1285],{},"コンテナを削除してもデータが残るように、保存フォルダを必ずマウントしてください。次は、",[1249,1283,1284],{},"/data/qdrant","に保存し、サーバーが再起動しても自動的に再開するように設定した例です。",[1166,1287,1288,1289,1292,1293,1296,1297,1303],{},"イメージのバージョンは、",[1249,1290,1291],{},"QDRANT_VERSION","変数で固定します。バージョンを指定しないと",[1249,1294,1295],{},"latest","がインストールされ、コンテナを作り直したときに意図せずバージョンが上がる場合があります。次のバージョンは、ドキュメント作成時点の例です。実際にインストールするときは、",[1200,1298,1302],{"href":1299,"rel":1300},"https://github.com/qdrant/qdrant/releases",[1301],"nofollow","Qdrantのリリースページ","で、組織が検証したバージョンに置き換えてください。",[1305,1306,1311],"pre",{"className":1307,"code":1308,"language":1309,"meta":1310,"style":1310},"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:${QDRANT_VERSION}\n","bash","",[1249,1312,1313,1329,1346,1353,1374,1385,1396,1406,1417],{"__ignoreMap":1310},[1314,1315,1318,1321,1325],"span",{"class":1316,"line":1317},"line",1,[1314,1319,1291],{"class":1320},"sMOD_",[1314,1322,1324],{"class":1323},"sC2Qs","=",[1314,1326,1328],{"class":1327},"sstjo","v1.19.1\n",[1314,1330,1332,1336,1339,1343],{"class":1316,"line":1331},2,[1314,1333,1335],{"class":1334},"srTi1","sudo",[1314,1337,1338],{"class":1327}," mkdir",[1314,1340,1342],{"class":1341},"s7F3e"," -p",[1314,1344,1345],{"class":1327}," /data/qdrant\n",[1314,1347,1349],{"class":1316,"line":1348},3,[1314,1350,1352],{"emptyLinePlaceholder":1351},true,"\n",[1314,1354,1356,1359,1362,1365,1368,1371],{"class":1316,"line":1355},4,[1314,1357,1358],{"class":1334},"docker",[1314,1360,1361],{"class":1327}," run",[1314,1363,1364],{"class":1341}," -d",[1314,1366,1367],{"class":1341}," --name",[1314,1369,1370],{"class":1327}," qdrant",[1314,1372,1373],{"class":1341}," \\\n",[1314,1375,1377,1380,1383],{"class":1316,"line":1376},5,[1314,1378,1379],{"class":1341},"  --restart",[1314,1381,1382],{"class":1327}," unless-stopped",[1314,1384,1373],{"class":1341},[1314,1386,1388,1391,1394],{"class":1316,"line":1387},6,[1314,1389,1390],{"class":1341},"  -p",[1314,1392,1393],{"class":1327}," 6333:6333",[1314,1395,1373],{"class":1341},[1314,1397,1399,1401,1404],{"class":1316,"line":1398},7,[1314,1400,1390],{"class":1341},[1314,1402,1403],{"class":1327}," 6334:6334",[1314,1405,1373],{"class":1341},[1314,1407,1409,1412,1415],{"class":1316,"line":1408},8,[1314,1410,1411],{"class":1341},"  -v",[1314,1413,1414],{"class":1327}," /data/qdrant:/qdrant/storage",[1314,1416,1373],{"class":1341},[1314,1418,1420,1423],{"class":1316,"line":1419},9,[1314,1421,1422],{"class":1327},"  qdrant/qdrant:",[1314,1424,1425],{"class":1320},"${QDRANT_VERSION}\n",[1166,1427,1428],{},"SpaceBuilderとは別のサーバーで運用する場合や、複数の人がアクセスできるネットワークの場合は、APIキーもあわせて有効にしてください。キーには、長く推測しにくい値を設定します。",[1305,1430,1432],{"className":1307,"code":1431,"language":1309,"meta":1310,"style":1310},"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キー>' \\\n  qdrant/qdrant:${QDRANT_VERSION}\n",[1249,1433,1434,1442,1456,1464,1472,1480,1488,1498],{"__ignoreMap":1310},[1314,1435,1436,1438,1440],{"class":1316,"line":1317},[1314,1437,1291],{"class":1320},[1314,1439,1324],{"class":1323},[1314,1441,1328],{"class":1327},[1314,1443,1444,1446,1448,1450,1452,1454],{"class":1316,"line":1331},[1314,1445,1358],{"class":1334},[1314,1447,1361],{"class":1327},[1314,1449,1364],{"class":1341},[1314,1451,1367],{"class":1341},[1314,1453,1370],{"class":1327},[1314,1455,1373],{"class":1341},[1314,1457,1458,1460,1462],{"class":1316,"line":1348},[1314,1459,1379],{"class":1341},[1314,1461,1382],{"class":1327},[1314,1463,1373],{"class":1341},[1314,1465,1466,1468,1470],{"class":1316,"line":1355},[1314,1467,1390],{"class":1341},[1314,1469,1393],{"class":1327},[1314,1471,1373],{"class":1341},[1314,1473,1474,1476,1478],{"class":1316,"line":1376},[1314,1475,1390],{"class":1341},[1314,1477,1403],{"class":1327},[1314,1479,1373],{"class":1341},[1314,1481,1482,1484,1486],{"class":1316,"line":1387},[1314,1483,1411],{"class":1341},[1314,1485,1414],{"class":1327},[1314,1487,1373],{"class":1341},[1314,1489,1490,1493,1496],{"class":1316,"line":1398},[1314,1491,1492],{"class":1341},"  -e",[1314,1494,1495],{"class":1327}," QDRANT__SERVICE__API_KEY='\u003CAPIキー>'",[1314,1497,1373],{"class":1341},[1314,1499,1500,1502],{"class":1316,"line":1408},[1314,1501,1422],{"class":1327},[1314,1503,1425],{"class":1320},[1209,1505,1506],{"id":1506},"インストールの確認",[1305,1508,1510],{"className":1307,"code":1509,"language":1309,"meta":1310,"style":1310},"curl http://localhost:6333/collections\n",[1249,1511,1512],{"__ignoreMap":1310},[1314,1513,1514,1517],{"class":1316,"line":1317},[1314,1515,1516],{"class":1334},"curl",[1314,1518,1519],{"class":1327}," http://localhost:6333/collections\n",[1166,1521,1522,1525,1526,1529,1530,1533],{},[1249,1523,1524],{},"\"status\":\"ok\"","を含む応答が返れば正常です。APIキーを有効にした場合は、",[1249,1527,1528],{},"curl -H 'api-key: \u003CAPIキー>' http://localhost:6333/collections","のように",[1249,1531,1532],{},"api-key","ヘッダーを付けないと応答が返りません。",[1166,1535,1536,1537,1540],{},"ブラウザーで",[1249,1538,1539],{},"http://\u003CQdrantサーバーのアドレス>:6333/dashboard","を開くと、コレクションと保存されたデータを確認できるダッシュボードが表示されます。",[1209,1542,1543],{"id":1543},"運用のヒント",[1180,1545,1546,1563,1576],{},[1183,1547,1548,1552,1553,1555,1556,1559,1560,1562],{},[1549,1550,1551],"strong",{},"アップデート","：Qdrant公式のアップグレード案内に従い、マイナーバージョンを1段階ずつ（例：1.12 → 1.13）上げてください。",[1249,1554,1291],{},"を次のバージョンに変更し、",[1249,1557,1558],{},"docker pull qdrant/qdrant:${QDRANT_VERSION}","でイメージを取得した後、コンテナを削除して同じコマンドでもう一度実行します。データは",[1249,1561,1284],{},"に残ります。",[1183,1564,1565,1568,1569,1571,1572,1575],{},[1549,1566,1567],{},"バックアップ","：コンテナを停止してから",[1249,1570,1284],{},"フォルダをまるごとコピーするか、QdrantのスナップショットAPIを使用します。ただし、ベクトルは元の資料から作り直せる派生データであるため、バックアップがなくても、SpaceBuilderの",[1249,1573,1574],{},"既存の埋め込みを同期","でベクトルDBにデータを入れ直すことができます。",[1183,1577,1578,1581,1582,1584,1585,1587],{},[1549,1579,1580],{},"ファイアウォール","：SpaceBuilderサーバーだけが",[1249,1583,1270],{},"と",[1249,1586,1274],{},"ポートに接続できるように制限してください。HTTPSで接続する必要がある場合は、Qdrantの前にリバースプロキシを置く方法を推奨します。",[1176,1589,1203],{"id":1203},[1166,1591,1592,1595,1596,1599],{},[1200,1593,220],{"href":1594},"/ja/docs/admin/knowledge/storage/","画面の",[1249,1597,1598],{},"ベクトルDB構成","で、次のように入力して保存します。",[1213,1601,1602,1614],{},[1216,1603,1604],{},[1219,1605,1606,1608,1611],{},[1222,1607,1224],{},[1222,1609,1610],{},"入力値",[1222,1612,1613],{},"説明",[1229,1615,1616,1629,1646,1659,1674,1685],{},[1219,1617,1618,1621,1626],{},[1234,1619,1620],{},"ドライバー",[1234,1622,1623],{},[1249,1624,1625],{},"Qdrant",[1234,1627,1628],{},"外部のQdrantサーバーを使用します。",[1219,1630,1631,1634,1639],{},[1234,1632,1633],{},"REST エンドポイント",[1234,1635,1636],{},[1249,1637,1638],{},"http://\u003CQdrantサーバーのアドレス>:6333",[1234,1640,1641,1642,1645],{},"QdrantのREST APIアドレスです。空欄にすると",[1249,1643,1644],{},"http://localhost:6333","を使用します。",[1219,1647,1648,1651,1656],{},[1234,1649,1650],{},"gRPC エンドポイント（推奨）",[1234,1652,1653],{},[1249,1654,1655],{},"http://\u003CQdrantサーバーのアドレス>:6334",[1234,1657,1658],{},"検索とベクトルの保存に優先して使用します。空欄にするとRESTアドレスから自動的に推定し、接続できない場合はRESTに切り替えます。",[1219,1660,1661,1664,1667],{},[1234,1662,1663],{},"コレクション",[1234,1665,1666],{},"このインスタンス（現在のSpaceBuilder）専用の名前",[1234,1668,1669,1670,1673],{},"画面に表示される推奨名（",[1249,1671,1672],{},"setfn_knowledge_...","）を使用することを推奨します。",[1219,1675,1676,1679,1682],{},[1234,1677,1678],{},"APIキー",[1234,1680,1681],{},"Qdrantに設定したAPIキー",[1234,1683,1684],{},"認証を有効にしていない場合は空欄にします。保存済みの値はマスクされて表示され、変更しなければそのまま維持されます。空欄にして保存すると削除されます。",[1219,1686,1687,1690,1693],{},[1234,1688,1689],{},"ベクトル次元数",[1234,1691,1692],{},"埋め込みモデルの出力次元",[1234,1694,1695,1697,1698,1701],{},[1249,1696,1251],{},"は",[1249,1699,1700],{},"1024","です。モデルを選択すると、既知のモデルの場合は自動的に入力されます。",[1166,1703,1704,1705,1708],{},"Qdrantはサービス型のストレージであるため、",[1249,1706,1707],{},"データパス","の入力欄は表示されません。データはすべてQdrantサーバーに保存されます。",[1166,1710,1711],{},"保存すると、インデックススケジューラーがすぐに新しい設定を確認し、必要な場合は元の資料全体の再インデックスを自動的に開始します。別途同期を実行する必要はありません。",[1176,1713,1714],{"id":1714},"コレクションは自動的に作成されます",[1166,1716,1717],{},"Qdrantのダッシュボードで、コレクションを事前に作成する必要はありません。SpaceBuilderが最初の検索データを保存するときに、設定した名前でコレクションを作成し、検索フィルターに必要なインデックスもあわせて作成します。",[1213,1719,1720,1730],{},[1216,1721,1722],{},[1219,1723,1724,1727],{},[1222,1725,1726],{},"自動作成される項目",[1222,1728,1729],{},"値",[1229,1731,1732,1740,1748,1756],{},[1219,1733,1734,1737],{},[1234,1735,1736],{},"ベクトルの形式",[1234,1738,1739],{},"名前のない単一のベクトル（dense）",[1219,1741,1742,1745],{},[1234,1743,1744],{},"ベクトルのサイズ",[1234,1746,1747],{},"設定したベクトル次元数",[1219,1749,1750,1753],{},[1234,1751,1752],{},"距離の計算",[1234,1754,1755],{},"Cosine",[1219,1757,1758,1761],{},[1234,1759,1760],{},"フィルターインデックス",[1234,1762,1763],{},"インスタンス、世代、スペース、所有者、元のパス",[1166,1765,1766,1767,1770,1771,1774,1775,1778],{},"初回のインデックス作成前は、",[1249,1768,1769],{},"ベクトルDBの運用状況","の",[1249,1772,1773],{},"コレクション設定","に",[1249,1776,1777],{},"未作成・初回インデックス作成時に自動で作成されます","と表示されます。エラーではないため、インデックス作成が始まるまでお待ちください。",[1209,1780,1781],{"id":1781},"コレクションを手動で作成するときの注意点",[1166,1783,1784,1785,1788,1789,1792,1793,1774,1795,1798],{},"Qdrantダッシュボードの",[1249,1786,1787],{},"Create New Collection","画面で、",[1249,1790,1791],{},"Simple Hybrid Search","や名前付きベクトル（named vector）を使って作成したコレクションは、SpaceBuilderと互換性がありません。このようなコレクションを指定すると、",[1249,1794,1773],{},[1249,1796,1797],{},"コレクション設定の確認が必要","と表示され、インデックス作成が保存の段階で失敗します。",[1166,1800,1801,1802,1805,1806,1809],{},"コレクションを手動で作成する必要がある場合は、ダッシュボードの",[1249,1803,1804],{},"Console","で次のリクエストを実行してください。",[1249,1807,1808],{},"size","は、設定したベクトル次元数と同じにする必要があります。",[1305,1811,1815],{"className":1812,"code":1813,"language":1814,"meta":1310,"style":1310},"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",[1249,1816,1817,1822,1827,1832],{"__ignoreMap":1310},[1314,1818,1819],{"class":1316,"line":1317},[1314,1820,1821],{},"PUT /collections/setfn_knowledge_example\n",[1314,1823,1824],{"class":1316,"line":1331},[1314,1825,1826],{},"{\n",[1314,1828,1829],{"class":1316,"line":1348},[1314,1830,1831],{},"  \"vectors\": { \"size\": 1024, \"distance\": \"Cosine\" }\n",[1314,1833,1834],{"class":1316,"line":1355},[1314,1835,1836],{},"}\n",[1838,1839,1840],"note",{},[1166,1841,1842],{},"すでに誤った形式で作成したコレクションがある場合は、別のコレクション名に変更して保存するか、そのコレクションを削除してSpaceBuilderに作り直させてください。次元や距離の計算方式が異なるコレクションは使用できません。",[1176,1844,1845],{"id":1845},"保存されたデータの確認",[1166,1847,1848,1850],{},[1249,1849,1769],{},"でQdrantの状態を確認します。",[1213,1852,1853,1862],{},[1216,1854,1855],{},[1219,1856,1857,1859],{},[1222,1858,1224],{},[1222,1860,1861],{},"意味",[1229,1863,1864,1872,1880,1888],{},[1219,1865,1866,1869],{},[1234,1867,1868],{},"接続状態",[1234,1870,1871],{},"Qdrantサーバーに接続できるかどうか",[1219,1873,1874,1877],{},[1234,1875,1876],{},"保存済みベクトル数",[1234,1878,1879],{},"このインスタンスが保存したベクトルの数です。同じコレクションを使用する別のインスタンスのデータは含みません。",[1219,1881,1882,1885],{},[1234,1883,1884],{},"コレクション数",[1234,1886,1887],{},"Qdrantサーバーにあるすべてのコレクションの数です。SpaceBuilderが作成したもの以外のコレクションも含まれます。",[1219,1889,1890,1892],{},[1234,1891,1773],{},[1234,1893,1894],{},"設定したコレクションの次元と距離の計算方式が、SpaceBuilderと一致しているかどうか",[1166,1896,1897],{},"ベクトル1個は、文書の断片（チャンク）1個に対応します。文書は形式に応じてまずセクション、ページ、行の単位に分割し、さらに韓国語基準で約700〜1,000文字のサイズに分割して保存します。そのため、文書数よりベクトル数のほうがはるかに多いのが正常です。",[1166,1899,1784,1900,1902],{},[1249,1901,1804],{},"で、実際に保存されている内容を確認できます。",[1166,1904,1905],{},"ファイルごとのベクトル数を確認：",[1305,1907,1909],{"className":1812,"code":1908,"language":1814,"meta":1310,"style":1310},"POST /collections/setfn_knowledge_example/facet\n{ \"key\": \"source_path\", \"limit\": 50 }\n",[1249,1910,1911,1916],{"__ignoreMap":1310},[1314,1912,1913],{"class":1316,"line":1317},[1314,1914,1915],{},"POST /collections/setfn_knowledge_example/facet\n",[1314,1917,1918],{"class":1316,"line":1331},[1314,1919,1920],{},"{ \"key\": \"source_path\", \"limit\": 50 }\n",[1838,1922,1923],{},[1166,1924,1925],{},"facet APIは、Qdrant 1.12以降でのみ動作します。複数のインスタンスが同じコレクションを共有している場合は、別のインスタンスが保存したベクトルの数まで合算されます。",[1166,1927,1928],{},"保存された文書チャンクの一部を確認：",[1305,1930,1932],{"className":1812,"code":1931,"language":1814,"meta":1310,"style":1310},"POST /collections/setfn_knowledge_example/points/scroll\n{ \"limit\": 10, \"with_payload\": [\"source_path\", \"text\"], \"with_vector\": false }\n",[1249,1933,1934,1939],{"__ignoreMap":1310},[1314,1935,1936],{"class":1316,"line":1317},[1314,1937,1938],{},"POST /collections/setfn_knowledge_example/points/scroll\n",[1314,1940,1941],{"class":1316,"line":1331},[1314,1942,1943],{},"{ \"limit\": 10, \"with_payload\": [\"source_path\", \"text\"], \"with_vector\": false }\n",[1945,1946,1947],"warning",{},[1166,1948,1949,1950,1770,1952,1955],{},"Qdrantダッシュボードでポイントを直接変更または削除しないでください。SpaceBuilderが記録している状態と食い違い、検索結果から漏れたり、整理作業が繰り返されたりする場合があります。データを作り直す必要がある場合は、",[1200,1951,220],{"href":1594},[1249,1953,1954],{},"ベクトル世代を再構築","を使用してください。",[1176,1957,1959],{"id":1958},"複数のインスタンスが1つのqdrantを共有するとき","複数のインスタンスが1つのQdrantを共有するとき",[1166,1961,1962,1963,1966],{},"インスタンスごとに異なるコレクション名を使用すると、データは完全に分離されます。デフォルトのコレクション名（",[1249,1964,1965],{},"knowledge_vectors","）をそのまま使用すると、画面に警告とともに、このインスタンスの推奨名が表示されます。",[1166,1968,1969],{},"同じコレクションを共有する場合でも、新しく保存するベクトルにはインスタンス分離キーが付き、検索と削除はそれぞれのインスタンスのデータの中だけで行われます。ただし、バックアップ、容量の管理、削除をインスタンスごとに行うには、コレクションを分けるほうが安全です。",[1166,1971,1972],{},"同じサーバーで実行中の別のSpaceBuilderプロジェクトが同じコレクションを使用している場合は、設定画面に警告が表示されます。",[1176,1974,1975],{"id":1975},"関連ドキュメント",[1180,1977,1978,1982,1987,1992],{},[1183,1979,1980],{},[1200,1981,220],{"href":1594},[1183,1983,1984],{},[1200,1985,225],{"href":1986},"/ja/docs/admin/knowledge/storage-operations/",[1183,1988,1989],{},[1200,1990,240],{"href":1991},"/ja/docs/admin/knowledge/milvus/",[1183,1993,1994],{},[1200,1995,208],{"href":1996},"/ja/docs/admin/knowledge/indexing/",[1998,1999,2000],"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: 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var(--shiki-sepia-text-decoration);}",{"title":1310,"searchDepth":1331,"depth":1348,"links":2002},[2003,2004,2010,2011,2014,2015,2016],{"id":1178,"depth":1331,"text":1178},{"id":1194,"depth":1331,"text":1195,"children":2005},[2006,2007,2008,2009],{"id":1211,"depth":1348,"text":1211},{"id":1278,"depth":1348,"text":1278},{"id":1506,"depth":1348,"text":1506},{"id":1543,"depth":1348,"text":1543},{"id":1203,"depth":1331,"text":1203},{"id":1714,"depth":1331,"text":1714,"children":2012},[2013],{"id":1781,"depth":1348,"text":1781},{"id":1845,"depth":1331,"text":1845},{"id":1958,"depth":1331,"text":1959},{"id":1975,"depth":1331,"text":1975},"外部ベクトルDBのQdrantをSpaceBuilderのベクトルDBとして接続し、コレクションと保存データを確認する方法を説明します。","md",{},{"title":2021,"description":2017,"ogType":2022,"twitterCard":2023,"keywords":2024},"Qdrantを接続する | Admin Docs","article","summary_large_image",[1625,2025,1663,2026,2027],"ベクトルDB","RAG","ナレッジインデックス作成","vuRdhkbfz1-o3KDaiWNmoJpWlPV7K_Rt4pHIVeoZSx8",[2030,2031],{"title":225,"path":226,"stem":227,"slug":228,"children":-1},{"title":235,"path":236,"stem":237,"slug":238,"children":-1},{"title":230,"filename":2033,"content":2034},"qdrant","# Qdrantを接続する\n\nQdrantは、別のサーバーとして運用するベクトルDBです。文書が多く検索データが数万件を超える場合や、AI検索データをSpaceBuilderサーバーから分離して運用したい場合に使用します。\n\nQdrantを使用しても、元のファイルと文書のテキストはSpaceBuilderにそのまま残ります。Qdrantには、検索に必要なベクトルと最小限の情報だけが保存されます。\n\n---\n\n## 始める前に\n\n- 必要な権限：Workspace管理者と、Qdrantの接続情報を管理する権限\n- SpaceBuilderサーバーから、QdrantのRESTおよびgRPCエンドポイントにアクセスできる必要があります。\n- 埋め込みモデルの出力次元を確認します。\n\n## Qdrantのインストール\n\nSpaceBuilderサーバーから接続できるQdrantサーバーが必要です。すでに運用中のQdrantがある場合は、この節を飛ばして[接続設定](#接続設定)に進んでください。\n\nQdrantは、Dockerでインストールするのが最も簡単です。次の手順は、LinuxサーバーにDockerがインストールされていることを前提としています。\n\n### 準備\n\n| 項目 | 内容 |\n|------|------|\n| サーバー | SpaceBuilderと同じサーバーでも、別のサーバーでも構いません。同じサーバーの場合はSpaceBuilderとメモリを分け合うため、余裕を持たせてください。 |\n| メモリ | ベクトルは、検索速度のためにメモリ上に読み込まれます。Qdrantが推奨する計算式（ベクトル数 × 次元 × 4バイト × 1.5）では、`bge-m3`（1024次元）の場合、ベクトル10万個で約0.6GB、100万個で約6GBが必要です。 |\n| ディスク | ベクトルと文書チャンクのテキストをあわせて保存するため、メモリ必要量の2〜3倍を確保してください。 |\n| ポート | `6333`（REST API）と`6334`（gRPC）。SpaceBuilderはgRPCを優先して使用し、接続できない場合はRESTに切り替えます。 |\n\n### 実行\n\nコンテナを削除してもデータが残るように、保存フォルダを必ずマウントしてください。次は、`/data/qdrant`に保存し、サーバーが再起動しても自動的に再開するように設定した例です。\n\nイメージのバージョンは、`QDRANT_VERSION`変数で固定します。バージョンを指定しないと`latest`がインストールされ、コンテナを作り直したときに意図せずバージョンが上がる場合があります。次のバージョンは、ドキュメント作成時点の例です。実際にインストールするときは、[Qdrantのリリースページ](https://github.com/qdrant/qdrant/releases)で、組織が検証したバージョンに置き換えてください。\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:${QDRANT_VERSION}\n```\n\nSpaceBuilderとは別のサーバーで運用する場合や、複数の人がアクセスできるネットワークの場合は、APIキーもあわせて有効にしてください。キーには、長く推測しにくい値を設定します。\n\n```bash\nQDRANT_VERSION=v1.19.1\ndocker run -d --name qdrant \\\n  --restart unless-stopped \\\n  -p 6333:6333 \\\n  -p 6334:6334 \\\n  -v /data/qdrant:/qdrant/storage \\\n  -e QDRANT__SERVICE__API_KEY='\u003CAPIキー>' \\\n  qdrant/qdrant:${QDRANT_VERSION}\n```\n\n### インストールの確認\n\n```bash\ncurl http://localhost:6333/collections\n```\n\n`\"status\":\"ok\"`を含む応答が返れば正常です。APIキーを有効にした場合は、`curl -H 'api-key: \u003CAPIキー>' http://localhost:6333/collections`のように`api-key`ヘッダーを付けないと応答が返りません。\n\nブラウザーで`http://\u003CQdrantサーバーのアドレス>:6333/dashboard`を開くと、コレクションと保存されたデータを確認できるダッシュボードが表示されます。\n\n### 運用のヒント\n\n- **アップデート**：Qdrant公式のアップグレード案内に従い、マイナーバージョンを1段階ずつ（例：1.12 → 1.13）上げてください。`QDRANT_VERSION`を次のバージョンに変更し、`docker pull qdrant/qdrant:${QDRANT_VERSION}`でイメージを取得した後、コンテナを削除して同じコマンドでもう一度実行します。データは`/data/qdrant`に残ります。\n- **バックアップ**：コンテナを停止してから`/data/qdrant`フォルダをまるごとコピーするか、QdrantのスナップショットAPIを使用します。ただし、ベクトルは元の資料から作り直せる派生データであるため、バックアップがなくても、SpaceBuilderの`既存の埋め込みを同期`でベクトルDBにデータを入れ直すことができます。\n- **ファイアウォール**：SpaceBuilderサーバーだけが`6333`と`6334`ポートに接続できるように制限してください。HTTPSで接続する必要がある場合は、Qdrantの前にリバースプロキシを置く方法を推奨します。\n\n## 接続設定\n\n[ナレッジストレージ](/ja/docs/admin/knowledge/storage/)画面の`ベクトルDB構成`で、次のように入力して保存します。\n\n| 項目 | 入力値 | 説明 |\n|------|---------|------|\n| ドライバー | `Qdrant` | 外部のQdrantサーバーを使用します。 |\n| REST エンドポイント | `http://\u003CQdrantサーバーのアドレス>:6333` | QdrantのREST APIアドレスです。空欄にすると`http://localhost:6333`を使用します。 |\n| gRPC エンドポイント（推奨） | `http://\u003CQdrantサーバーのアドレス>:6334` | 検索とベクトルの保存に優先して使用します。空欄にするとRESTアドレスから自動的に推定し、接続できない場合はRESTに切り替えます。 |\n| コレクション | このインスタンス（現在のSpaceBuilder）専用の名前 | 画面に表示される推奨名（`setfn_knowledge_...`）を使用することを推奨します。 |\n| APIキー | Qdrantに設定したAPIキー | 認証を有効にしていない場合は空欄にします。保存済みの値はマスクされて表示され、変更しなければそのまま維持されます。空欄にして保存すると削除されます。 |\n| ベクトル次元数 | 埋め込みモデルの出力次元 | `bge-m3`は`1024`です。モデルを選択すると、既知のモデルの場合は自動的に入力されます。 |\n\nQdrantはサービス型のストレージであるため、`データパス`の入力欄は表示されません。データはすべてQdrantサーバーに保存されます。\n\n保存すると、インデックススケジューラーがすぐに新しい設定を確認し、必要な場合は元の資料全体の再インデックスを自動的に開始します。別途同期を実行する必要はありません。\n\n## コレクションは自動的に作成されます\n\nQdrantのダッシュボードで、コレクションを事前に作成する必要はありません。SpaceBuilderが最初の検索データを保存するときに、設定した名前でコレクションを作成し、検索フィルターに必要なインデックスもあわせて作成します。\n\n| 自動作成される項目 | 値 |\n|----------------|-----|\n| ベクトルの形式 | 名前のない単一のベクトル（dense） |\n| ベクトルのサイズ | 設定したベクトル次元数 |\n| 距離の計算 | Cosine |\n| フィルターインデックス | インスタンス、世代、スペース、所有者、元のパス |\n\n初回のインデックス作成前は、`ベクトルDBの運用状況`の`コレクション設定`に`未作成・初回インデックス作成時に自動で作成されます`と表示されます。エラーではないため、インデックス作成が始まるまでお待ちください。\n\n### コレクションを手動で作成するときの注意点\n\nQdrantダッシュボードの`Create New Collection`画面で、`Simple Hybrid Search`や名前付きベクトル（named vector）を使って作成したコレクションは、SpaceBuilderと互換性がありません。このようなコレクションを指定すると、`コレクション設定`に`コレクション設定の確認が必要`と表示され、インデックス作成が保存の段階で失敗します。\n\nコレクションを手動で作成する必要がある場合は、ダッシュボードの`Console`で次のリクエストを実行してください。`size`は、設定したベクトル次元数と同じにする必要があります。\n\n```http\nPUT /collections/setfn_knowledge_example\n{\n  \"vectors\": { \"size\": 1024, \"distance\": \"Cosine\" }\n}\n```\n\n::note\nすでに誤った形式で作成したコレクションがある場合は、別のコレクション名に変更して保存するか、そのコレクションを削除してSpaceBuilderに作り直させてください。次元や距離の計算方式が異なるコレクションは使用できません。\n::\n\n## 保存されたデータの確認\n\n`ベクトルDBの運用状況`でQdrantの状態を確認します。\n\n| 項目 | 意味 |\n|------|------|\n| 接続状態 | Qdrantサーバーに接続できるかどうか |\n| 保存済みベクトル数 | このインスタンスが保存したベクトルの数です。同じコレクションを使用する別のインスタンスのデータは含みません。 |\n| コレクション数 | Qdrantサーバーにあるすべてのコレクションの数です。SpaceBuilderが作成したもの以外のコレクションも含まれます。 |\n| コレクション設定 | 設定したコレクションの次元と距離の計算方式が、SpaceBuilderと一致しているかどうか |\n\nベクトル1個は、文書の断片（チャンク）1個に対応します。文書は形式に応じてまずセクション、ページ、行の単位に分割し、さらに韓国語基準で約700〜1,000文字のサイズに分割して保存します。そのため、文書数よりベクトル数のほうがはるかに多いのが正常です。\n\nQdrantダッシュボードの`Console`で、実際に保存されている内容を確認できます。\n\nファイルごとのベクトル数を確認：\n\n```http\nPOST /collections/setfn_knowledge_example/facet\n{ \"key\": \"source_path\", \"limit\": 50 }\n```\n\n::note\nfacet APIは、Qdrant 1.12以降でのみ動作します。複数のインスタンスが同じコレクションを共有している場合は、別のインスタンスが保存したベクトルの数まで合算されます。\n::\n\n保存された文書チャンクの一部を確認：\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\nQdrantダッシュボードでポイントを直接変更または削除しないでください。SpaceBuilderが記録している状態と食い違い、検索結果から漏れたり、整理作業が繰り返されたりする場合があります。データを作り直す必要がある場合は、[ナレッジストレージ](/ja/docs/admin/knowledge/storage/)の`ベクトル世代を再構築`を使用してください。\n::\n\n## 複数のインスタンスが1つのQdrantを共有するとき\n\nインスタンスごとに異なるコレクション名を使用すると、データは完全に分離されます。デフォルトのコレクション名（`knowledge_vectors`）をそのまま使用すると、画面に警告とともに、このインスタンスの推奨名が表示されます。\n\n同じコレクションを共有する場合でも、新しく保存するベクトルにはインスタンス分離キーが付き、検索と削除はそれぞれのインスタンスのデータの中だけで行われます。ただし、バックアップ、容量の管理、削除をインスタンスごとに行うには、コレクションを分けるほうが安全です。\n\n同じサーバーで実行中の別のSpaceBuilderプロジェクトが同じコレクションを使用している場合は、設定画面に警告が表示されます。\n\n## 関連ドキュメント\n\n- [ナレッジストレージ](/ja/docs/admin/knowledge/storage/)\n- [ナレッジストレージを運用する](/ja/docs/admin/knowledge/storage-operations/)\n- [Milvusを接続する](/ja/docs/admin/knowledge/milvus/)\n- [収集・インデックス作成](/ja/docs/admin/knowledge/indexing/)\n",1793056606359]