4.6.3-alpha1 (#529)

2025-07-24 05:23:57 +00:00 · 2023-11-29 20:45:36 +08:00
parent 007fce2deb
commit b916183848
43 changed files with 515 additions and 184 deletions
--- a/packages/global/common/string/time.ts
+++ b/packages/global/common/string/time.ts
@@ -0,0 +1,3 @@
+import dayjs from 'dayjs';
+
+export const formatTime2YMDHM = (time: Date) => dayjs(time).format('YYYY-MM-DD HH:mm');
--- a/packages/global/core/app/utils.ts
+++ b/packages/global/core/app/utils.ts
@@ -77,7 +77,7 @@ export const appModules2Form = ({
      );
      defaultAppForm.aiSettings.quotePrompt = findInputValueByKey(
        module.inputs,
-        ModuleInputKeyEnum.aiChatQuoteTemplate
+        ModuleInputKeyEnum.aiChatQuotePrompt
      );
    } else if (module.flowType === FlowNodeTypeEnum.datasetSearchNode) {
      defaultAppForm.dataset.datasets = findInputValueByKey(
--- a/packages/global/core/chat/type.d.ts
+++ b/packages/global/core/chat/type.d.ts
@@ -4,6 +4,7 @@ import { ChatRoleEnum, ChatSourceEnum } from './constants';
 import { FlowNodeTypeEnum } from '../module/node/constant';
 import { ModuleOutputKeyEnum } from '../module/constants';
 import { AppSchema } from '../app/type';
+import { DatasetSearchModeEnum } from '../dataset/constant';

 export type ChatSchema = {
  _id: string;
@@ -94,6 +95,7 @@ export type moduleDispatchResType = {
  // dataset search
  similarity?: number;
  limit?: number;
+  searchMode?: `${DatasetSearchModeEnum}`;

  // cq
  cqList?: ClassifyQuestionAgentItemType[];
--- a/packages/global/core/dataset/constant.ts
+++ b/packages/global/core/dataset/constant.ts
@@ -1,5 +1,6 @@
 export const PgDatasetTableName = 'modeldata';

+/* ------------ dataset -------------- */
 export enum DatasetTypeEnum {
  folder = 'folder',
  dataset = 'dataset'
@@ -14,28 +15,45 @@ export const DatasetTypeMap = {
  }
 };

+/* ------------ collection -------------- */
 export enum DatasetCollectionTypeEnum {
-  file = 'file',
  folder = 'folder',
+  file = 'file',
  link = 'link',
  virtual = 'virtual'
 }
-
 export const DatasetCollectionTypeMap = {
-  [DatasetCollectionTypeEnum.file]: {
-    name: 'dataset.file'
-  },
  [DatasetCollectionTypeEnum.folder]: {
-    name: 'dataset.folder'
+    name: 'core.dataset.folder'
+  },
+  [DatasetCollectionTypeEnum.file]: {
+    name: 'core.dataset.file'
  },
  [DatasetCollectionTypeEnum.link]: {
-    name: 'dataset.link'
+    name: 'core.dataset.link'
  },
  [DatasetCollectionTypeEnum.virtual]: {
-    name: 'dataset.Virtual File'
+    name: 'core.dataset.Virtual File'
+  }
+};
+export enum DatasetCollectionTrainingModeEnum {
+  manual = 'manual',
+  chunk = 'chunk',
+  qa = 'qa'
+}
+export const DatasetCollectionTrainingTypeMap = {
+  [DatasetCollectionTrainingModeEnum.manual]: {
+    label: 'core.dataset.collection.training.type manual'
+  },
+  [DatasetCollectionTrainingModeEnum.chunk]: {
+    label: 'core.dataset.collection.training.type chunk'
+  },
+  [DatasetCollectionTrainingModeEnum.qa]: {
+    label: 'core.dataset.collection.training.type qa'
  }
 };

+/* ------------ data -------------- */
 export enum DatasetDataIndexTypeEnum {
  chunk = 'chunk',
  qa = 'qa',
@@ -61,31 +79,22 @@ export const DatasetDataIndexTypeMap = {
  }
 };

+/* ------------ training -------------- */
 export enum TrainingModeEnum {
-  'chunk' = 'chunk',
-  'qa' = 'qa'
-  // 'hypothetical' = 'hypothetical',
-  // 'summary' = 'summary',
-  // 'multipleIndex' = 'multipleIndex'
+  chunk = 'chunk',
+  qa = 'qa'
 }
+
 export const TrainingTypeMap = {
  [TrainingModeEnum.chunk]: {
-    name: 'chunk'
+    label: 'core.dataset.training.type chunk'
  },
  [TrainingModeEnum.qa]: {
-    name: 'qa'
+    label: 'core.dataset.training.type qa'
  }
-  // [TrainingModeEnum.hypothetical]: {
-  //   name: 'hypothetical'
-  // },
-  // [TrainingModeEnum.summary]: {
-  //   name: 'summary'
-  // },
-  // [TrainingModeEnum.multipleIndex]: {
-  //   name: 'multipleIndex'
-  // }
 };

+/* ------------ search -------------- */
 export enum DatasetSearchModeEnum {
  embedding = 'embedding',
  embeddingReRank = 'embeddingReRank',
--- a/packages/global/core/dataset/controller.d.ts
+++ b/packages/global/core/dataset/controller.d.ts
@@ -5,6 +5,7 @@ export type CreateDatasetDataProps = {
  tmbId: string;
  datasetId: string;
  collectionId: string;
+  chunkIndex?: number;
  q: string;
  a?: string;
  indexes?: Omit<DatasetDataIndexItemType, 'dataId'>[];
--- a/packages/global/core/dataset/type.d.ts
+++ b/packages/global/core/dataset/type.d.ts
@@ -27,19 +27,18 @@ export type DatasetSchemaType = {

 export type DatasetCollectionSchemaType = {
  _id: string;
-  userId: string;
  teamId: string;
  tmbId: string;
  datasetId: string;
  parentId?: string;
  name: string;
  type: `${DatasetCollectionTypeEnum}`;
+  createTime: Date;
  updateTime: Date;
-  metadata: {
-    fileId?: string;
-    rawLink?: string;
-    pgCollectionId?: string;
-  };
+  trainingType: `${TrainingModeEnum}`;
+  chunkSize: number;
+  fileId?: string;
+  rawLink?: string;
 };

 export type DatasetDataIndexItemType = {
@@ -57,6 +56,8 @@ export type DatasetDataSchemaType = {
  collectionId: string;
  datasetId: string;
  collectionId: string;
+  chunkIndex: number;
+  updateTime: Date;
  q: string; // large chunks or question
  a: string; // answer or custom content
  fullTextToken: string;
@@ -78,6 +79,7 @@ export type DatasetTrainingSchemaType = {
  prompt: string;
  q: string;
  a: string;
+  chunkIndex: number;
  indexes: Omit<DatasetDataIndexItemType, 'dataId'>[];
 };

@@ -101,6 +103,7 @@ export type DatasetCollectionItemType = CollectionWithDatasetType & {
  canWrite: boolean;
  sourceName: string;
  sourceId?: string;
+  file?: DatasetFileSchema;
 };

 /* ================= data ===================== */
--- a/packages/service/core/dataset/collection/schema.ts
+++ b/packages/service/core/dataset/collection/schema.ts
@@ -1,7 +1,10 @@
 import { connectionMongo, type Model } from '../../../common/mongo';
 const { Schema, model, models } = connectionMongo;
 import { DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type.d';
-import { DatasetCollectionTypeMap } from '@fastgpt/global/core/dataset/constant';
+import {
+  DatasetCollectionTrainingTypeMap,
+  DatasetCollectionTypeMap
+} from '@fastgpt/global/core/dataset/constant';
 import { DatasetCollectionName } from '../schema';
 import {
  TeamCollectionName,
@@ -45,24 +48,32 @@ const DatasetCollectionSchema = new Schema({
    enum: Object.keys(DatasetCollectionTypeMap),
    required: true
  },
+  createTime: {
+    type: Date,
+    default: () => new Date()
+  },
  updateTime: {
    type: Date,
    default: () => new Date()
  },
+  trainingType: {
+    type: String,
+    enum: Object.keys(DatasetCollectionTrainingTypeMap),
+    required: true
+  },
+  chunkSize: {
+    type: Number,
+    required: true
+  },
+  fileId: {
+    type: Schema.Types.ObjectId,
+    ref: 'dataset.files'
+  },
+  rawLink: {
+    type: String
+  },
  metadata: {
-    type: {
-      fileId: {
-        type: Schema.Types.ObjectId,
-        ref: 'dataset.files'
-      },
-      rawLink: {
-        type: String
-      },
-      // 451 初始化
-      pgCollectionId: {
-        type: String
-      }
-    },
+    type: Object,
    default: {}
  }
 });
--- a/packages/service/core/dataset/data/schema.ts
+++ b/packages/service/core/dataset/data/schema.ts
@@ -70,6 +70,15 @@ const DatasetDataSchema = new Schema({
      }
    ],
    default: []
+  },
+  // metadata
+  updateTime: {
+    type: Date,
+    default: () => new Date()
+  },
+  chunkIndex: {
+    type: Number,
+    default: 0
  }
 });

--- a/packages/service/core/dataset/training/schema.ts
+++ b/packages/service/core/dataset/training/schema.ts
@@ -75,6 +75,10 @@ const TrainingDataSchema = new Schema({
    type: String,
    default: ''
  },
+  chunkIndex: {
+    type: Number,
+    default: 0
+  },
  indexes: {
    type: [
      {
--- a/projects/app/package.json
+++ b/projects/app/package.json
@@ -1,6 +1,6 @@
 {
  "name": "app",
-  "version": "4.6.2",
+  "version": "4.6.3",
  "private": false,
  "scripts": {
    "dev": "next dev",
--- a/projects/app/public/locales/en/common.json
+++ b/projects/app/public/locales/en/common.json
@@ -266,15 +266,39 @@
      "Search Top K": "Top K",
      "Set Empty Result Tip": ",Response empty text",
      "Similarity": "Similarity",
+      "Sync Time": "Update Time",
+      "Virtual File": "Virtual File",
+      "collection": {
+        "metadata": {
+          "Chunk Size": "Chunk Size",
+          "Createtime": "Create Time",
+          "Read Metadata": "Read Metadata",
+          "Training Type": "Training Type",
+          "Updatetime": "Update Time",
+          "metadata": "Metadata",
+          "read source": "Read Source",
+          "source": "Source",
+          "source name": "Source Name",
+          "source size": "Source Size"
+        },
+        "training": {
+          "type chunk": "Chunk",
+          "type manual": "Manual",
+          "type qa": "QA"
+        }
+      },
      "data": {
        "Edit": "Edit Data",
        "data is deleted": "Data is deleted",
        "id": "Data ID"
      },
+      "file": "File",
+      "folder": "Folder",
      "import": {
        "Ideal chunk length": "Ideal chunk length",
        "Ideal chunk length Tips": "Segment by end symbol. We recommend that your document should be properly punctuated to ensure that each complete sentence length does not exceed this value \n Chinese document recommended 400~1000\n English document recommended 600~1200"
      },
+      "link": "Link",
      "search": {
        "Empty result response": "Empty Response",
        "Empty result response Tips": "If you fill in the content, if no suitable content is found, you will directly reply to the content.",
@@ -289,7 +313,8 @@
          "embedding desc": "Direct vector topk correlation query ",
          "embeddingReRank": "Enhanced semantic retrieval ",
          "embeddingReRank desc": "Sort using Rerank after overperforming vector topk queries "
-        }
+        },
+        "search mode": "Search Mode"
      },
      "test": {
        "Test": "Start",
@@ -300,6 +325,10 @@
        "test history": "Test History",
        "test result placeholder": "The test results will be presented here",
        "test result tip": "The contents of the knowledge base are sorted according to their similarity to the test text, and you can adjust the corresponding text according to the test results. Note: The data in the test record may have been modified, clicking on a test data will show the latest data."
+      },
+      "training": {
+        "type chunk": "Chunk",
+        "type qa": "QA"
      }
    },
    "module": {
@@ -693,9 +722,9 @@
  "wallet": {
    "bill": {
      "Audio Speech": "Audio Speech",
+      "ReRank": "ReRank",
      "Whisper": "Whisper",
-      "bill username": "User",
-      "ReRank": "ReRank"
+      "bill username": "User"
    }
  }
 }
--- a/projects/app/public/locales/zh/common.json
+++ b/projects/app/public/locales/zh/common.json
@@ -266,15 +266,39 @@
      "Search Top K": "单次搜索数量",
      "Set Empty Result Tip": ",未搜索到内容时回复指定内容",
      "Similarity": "相似度",
+      "Sync Time": "最后更新时间",
+      "Virtual File": "虚拟文件",
+      "collection": {
+        "metadata": {
+          "Chunk Size": "分割大小",
+          "Createtime": "创建时间",
+          "Read Metadata": "查看元数据",
+          "Training Type": "训练模式",
+          "Updatetime": "更新时间",
+          "metadata": "元数据",
+          "read source": "查看原始内容",
+          "source": "数据来源",
+          "source name": "来源名",
+          "source size": "来源大小"
+        },
+        "training": {
+          "type manual": "手动",
+          "type chunk": "直接分段",
+          "type qa": "问答拆分"
+        }
+      },
      "data": {
        "Edit": "编辑数据",
        "data is deleted": "该数据已被删除",
        "id": "数据ID"
      },
+      "file": "文件",
+      "folder": "目录",
      "import": {
        "Ideal chunk length": "理想分块长度",
        "Ideal chunk length Tips": "按结束符号进行分段。我们建议您的文档应合理的使用标点符号，以确保每个完整的句子长度不要超过该值\n中文文档建议400~1000\n英文文档建议600~1200"
      },
+      "link": "链接",
      "search": {
        "Empty result response": "空搜索回复",
        "Empty result response Tips": "若填写该内容，没有搜索到合适内容时，将直接回复填写的内容。",
@@ -289,7 +313,8 @@
          "embedding desc": "直接进行向量 topk 相关性查询",
          "embeddingReRank": "增强语义检索",
          "embeddingReRank desc": "超额进行向量 topk 查询后再使用 Rerank 进行排序"
-        }
+        },
+        "search mode": "检索模式"
      },
      "test": {
        "Test": "测试",
@@ -300,6 +325,10 @@
        "test history": "测试历史",
        "test result placeholder": "测试结果将在这里展示",
        "test result tip": "根据知识库内容与测试文本的相似度进行排序，你可以根据测试结果调整对应的文本。\n注意：测试记录中的数据可能已经被修改过，点击某条测试数据后将展示最新的数据。"
+      },
+      "training": {
+        "type chunk": "直接分段",
+        "type qa": "问答拆分"
      }
    },
    "module": {
@@ -693,9 +722,9 @@
  "wallet": {
    "bill": {
      "Audio Speech": "语音播报",
+      "ReRank": "结果重排",
      "Whisper": "语音输入",
-      "bill username": "用户",
-      "ReRank": "结果重排"
+      "bill username": "用户"
    }
  }
 }
--- a/projects/app/src/components/ChatBox/WholeResponseModal.tsx
+++ b/projects/app/src/components/ChatBox/WholeResponseModal.tsx
@@ -10,6 +10,7 @@ import MyTooltip from '../MyTooltip';
 import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { formatPrice } from '@fastgpt/global/support/wallet/bill/tools';
 import Markdown from '../Markdown';
+import { DatasetSearchModeMap } from '@fastgpt/global/core/dataset/constant';

 function Row({ label, value }: { label: string; value?: string | number }) {
  const theme = useTheme();
@@ -127,6 +128,13 @@ const WholeResponseModal = ({
          )}

          {/* dataset search */}
+          {activeModule?.searchMode && (
+            <Row
+              label={t('core.dataset.search.search mode')}
+              // @ts-ignore
+              value={t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
+            />
+          )}
          <Row label={t('chat.response.module similarity')} value={activeModule?.similarity} />
          <Row label={t('chat.response.module limit')} value={activeModule?.limit} />

--- a/projects/app/src/components/common/MyRadio/index.tsx
+++ b/projects/app/src/components/common/MyRadio/index.tsx
@@ -36,16 +36,17 @@ const MyRadio = ({
          border={theme.borders.sm}
          borderWidth={'1.5px'}
          borderRadius={'md'}
-          bg={'myWhite.300'}
          position={'relative'}
          {...(value === item.value
            ? {
-                borderColor: 'myBlue.700'
+                borderColor: 'myBlue.500',
+                bg: 'myBlue.100'
              }
            : {
+                bg: 'myWhite.300',
                _hover: {
-                  bg: 'myBlue.100',
-                  borderColor: 'myBlue.600'
+                  bg: '#f5f8ff',
+                  borderColor: '#b2ccff'
                }
              })}
          _after={{
--- a/projects/app/src/components/core/module/Flow/ModuleTemplateList.tsx
+++ b/projects/app/src/components/core/module/Flow/ModuleTemplateList.tsx
@@ -1,14 +1,5 @@
 import React, { useCallback, useMemo } from 'react';
-import {
-  Box,
-  Flex,
-  Accordion,
-  AccordionItem,
-  AccordionButton,
-  AccordionPanel,
-  AccordionIcon,
-  useTheme
-} from '@chakra-ui/react';
+import { Box, Flex } from '@chakra-ui/react';
 import type {
  FlowModuleTemplateType,
  moduleTemplateListType
--- a/projects/app/src/constants/dataset.ts
+++ b/projects/app/src/constants/dataset.ts
@@ -24,7 +24,6 @@ export const defaultDatasetDetail: DatasetItemType = {

 export const defaultCollectionDetail: DatasetCollectionItemType = {
  _id: '',
-  userId: '',
  teamId: '',
  tmbId: '',
  datasetId: {
@@ -46,8 +45,10 @@ export const defaultCollectionDetail: DatasetCollectionItemType = {
  name: '',
  type: 'file',
  updateTime: new Date(),
-  metadata: {},
  canWrite: false,
  sourceName: '',
-  sourceId: ''
+  sourceId: '',
+  createTime: new Date(),
+  trainingType: 'chunk',
+  chunkSize: 0
 };
--- a/projects/app/src/global/core/api/datasetReq.d.ts
+++ b/projects/app/src/global/core/api/datasetReq.d.ts
@@ -1,4 +1,8 @@
-import { DatasetCollectionTypeEnum, DatasetTypeEnum } from '@fastgpt/global/core/dataset/constant';
+import {
+  DatasetCollectionTrainingModeEnum,
+  DatasetCollectionTypeEnum,
+  DatasetTypeEnum
+} from '@fastgpt/global/core/dataset/constant';
 import type { RequestPaging } from '@/types';
 import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constant';
 import type { SearchTestItemType } from '@/types/core/dataset';
@@ -31,14 +35,15 @@ export type CreateDatasetCollectionParams = {
  parentId?: string;
  name: string;
  type: `${DatasetCollectionTypeEnum}`;
-  metadata?: DatasetCollectionSchemaType['metadata'];
-  updateTime?: string;
+  trainingType?: `${DatasetCollectionTrainingModeEnum}`;
+  chunkSize?: number;
+  fileId?: string;
+  rawLink?: string;
 };
 export type UpdateDatasetCollectionParams = {
  id: string;
  parentId?: string;
  name?: string;
-  metadata?: DatasetCollectionSchemaType['metadata'];
 };

 /* ==== data ===== */
--- a/projects/app/src/global/core/dataset/type.d.ts
+++ b/projects/app/src/global/core/dataset/type.d.ts
@@ -16,7 +16,8 @@ export type DatasetCollectionsListItemType = {
  updateTime: Date;
  dataAmount: number;
  trainingAmount: number;
-  metadata: DatasetCollectionSchemaType['metadata'];
+  fileId?: string;
+  rawLink?: string;
  canWrite: boolean;
 };

--- a/projects/app/src/pages/api/admin/initv463.ts
+++ b/projects/app/src/pages/api/admin/initv463.ts
@@ -0,0 +1,55 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@fastgpt/service/common/response';
+import { connectToDatabase } from '@/service/mongo';
+import { authCert } from '@fastgpt/service/support/permission/auth/common';
+import { MongoDatasetData } from '@fastgpt/service/core/dataset/data/schema';
+import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
+import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constant';
+
+let success = 0;
+/* pg 中的数据搬到 mongo dataset.datas 中，并做映射 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { limit = 50 } = req.body as { limit: number };
+    await authCert({ req, authRoot: true });
+    await connectToDatabase();
+    success = 0;
+
+    await MongoDatasetCollection.updateMany({}, [
+      {
+        $set: {
+          createTime: '$updateTime',
+          trainingType: {
+            $cond: {
+              if: { $ifNull: ['$a', false] },
+              then: TrainingModeEnum.qa,
+              else: TrainingModeEnum.chunk
+            }
+          },
+          chunkSize: 0,
+          fileId: '$metadata.fileId',
+          rawLink: '$metadata.rawLink'
+        }
+      }
+    ]);
+
+    await MongoDatasetData.updateMany(
+      {},
+      {
+        chunkIndex: 0,
+        updateTime: new Date()
+      }
+    );
+
+    jsonRes(res, {
+      message: 'success'
+    });
+  } catch (error) {
+    console.log(error);
+
+    jsonRes(res, {
+      code: 500,
+      error
+    });
+  }
+}
--- a/projects/app/src/pages/api/core/dataset/collection/create.ts
+++ b/projects/app/src/pages/api/core/dataset/collection/create.ts
@@ -6,8 +6,11 @@ import { jsonRes } from '@fastgpt/service/common/response';
 import { connectToDatabase } from '@/service/mongo';
 import type { CreateDatasetCollectionParams } from '@/global/core/api/datasetReq.d';
 import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
-import { DatasetCollectionTypeEnum } from '@fastgpt/global/core/dataset/constant';
-import { getCollectionUpdateTime } from '@fastgpt/service/core/dataset/collection/utils';
+import {
+  TrainingModeEnum,
+  DatasetCollectionTypeEnum,
+  DatasetCollectionTrainingModeEnum
+} from '@fastgpt/global/core/dataset/constant';
 import { authUserNotVisitor } from '@fastgpt/service/support/permission/auth/user';
 import { authDataset } from '@fastgpt/service/support/permission/auth/dataset';

@@ -45,7 +48,10 @@ export async function createOneCollection({
  parentId,
  datasetId,
  type,
-  metadata = {},
+  trainingType = DatasetCollectionTrainingModeEnum.manual,
+  chunkSize = 0,
+  fileId,
+  rawLink,
  teamId,
  tmbId
 }: CreateDatasetCollectionParams & { teamId: string; tmbId: string }) {
@@ -56,8 +62,10 @@ export async function createOneCollection({
    datasetId,
    parentId: parentId || null,
    type,
-    metadata,
-    updateTime: getCollectionUpdateTime({ name })
+    trainingType,
+    chunkSize,
+    fileId,
+    rawLink
  });

  // create default collection
@@ -94,7 +102,8 @@ export function createDefaultCollection({
    datasetId,
    parentId,
    type: DatasetCollectionTypeEnum.virtual,
-    updateTime: new Date('2099'),
-    metadata: {}
+    trainingType: DatasetCollectionTrainingModeEnum.manual,
+    chunkSize: 0,
+    updateTime: new Date('2099')
  });
 }
--- a/projects/app/src/pages/api/core/dataset/collection/delById.ts
+++ b/projects/app/src/pages/api/core/dataset/collection/delById.ts
@@ -42,10 +42,10 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    // delete file
    await Promise.all(
      collections.map((collection) => {
-        if (!collection.metadata?.fileId) return;
+        if (!collection?.fileId) return;
        return delFileById({
          bucketName: BucketNameEnum.dataset,
-          fileId: collection.metadata.fileId
+          fileId: collection.fileId
        });
      })
    );
--- a/projects/app/src/pages/api/core/dataset/collection/detail.ts
+++ b/projects/app/src/pages/api/core/dataset/collection/detail.ts
@@ -6,6 +6,8 @@ import { jsonRes } from '@fastgpt/service/common/response';
 import { connectToDatabase } from '@/service/mongo';
 import { authDatasetCollection } from '@fastgpt/service/support/permission/auth/dataset';
 import { DatasetCollectionItemType } from '@fastgpt/global/core/dataset/type';
+import { BucketNameEnum } from '@fastgpt/global/common/file/constants';
+import { getFileById } from '@fastgpt/service/common/file/gridfs/controller';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -24,12 +26,18 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
      per: 'r'
    });

+    // get file
+    const file = collection?.fileId
+      ? await getFileById({ bucketName: BucketNameEnum.dataset, fileId: collection.fileId })
+      : undefined;
+
    jsonRes<DatasetCollectionItemType>(res, {
      data: {
        ...collection,
        canWrite,
        sourceName: collection?.name,
-        sourceId: collection?.metadata?.fileId || collection?.metadata?.rawLink
+        sourceId: collection?.fileId || collection?.rawLink,
+        file
      }
    });
  } catch (err) {
--- a/projects/app/src/pages/api/core/dataset/collection/list.ts
+++ b/projects/app/src/pages/api/core/dataset/collection/list.ts
@@ -115,9 +115,10 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
            name: 1,
            type: 1,
            updateTime: 1,
-            trainingAmount: { $size: '$trainings' },
            dataAmount: { $size: '$datas' },
-            metadata: 1
+            trainingAmount: { $size: '$trainings' },
+            fileId: 1,
+            rawLink: 1
          }
        },
        {
--- a/projects/app/src/pages/api/core/dataset/collection/update.ts
+++ b/projects/app/src/pages/api/core/dataset/collection/update.ts
@@ -9,7 +9,7 @@ import { authDatasetCollection } from '@fastgpt/service/support/permission/auth/
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
    await connectToDatabase();
-    const { id, parentId, name, metadata = {} } = req.body as UpdateDatasetCollectionParams;
+    const { id, parentId, name } = req.body as UpdateDatasetCollectionParams;

    if (!id) {
      throw new Error('缺少参数');
@@ -23,11 +23,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
      ...(name && { name, updateTime: getCollectionUpdateTime({ name }) })
    };

-    // 将metadata的每个字段添加到updateFields中
-    for (const [key, value] of Object.entries(metadata)) {
-      updateFields[`metadata.${key}`] = value;
-    }
-
    await MongoDatasetCollection.findByIdAndUpdate(id, {
      $set: updateFields
    });
--- a/projects/app/src/pages/api/core/dataset/data/insertData.ts
+++ b/projects/app/src/pages/api/core/dataset/data/insertData.ts
@@ -76,6 +76,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
      collectionId,
      q: formatQ,
      a: formatA,
+      chunkIndex: 0,
      model: vectorModelData.model,
      indexes: formatIndexes
    });
--- a/projects/app/src/pages/api/core/dataset/data/list.ts
+++ b/projects/app/src/pages/api/core/dataset/data/list.ts
@@ -32,8 +32,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    };

    const [data, total] = await Promise.all([
-      MongoDatasetData.find(match, '_id datasetId collectionId q a  indexes')
-        .sort({ _id: -1 })
+      MongoDatasetData.find(match, '_id datasetId collectionId q a indexes')
+        .sort({ chunkIndex: 1, updateTime: -1 })
        .skip((pageNum - 1) * pageSize)
        .limit(pageSize)
        .lean(),
--- a/projects/app/src/pages/api/core/dataset/data/pushData.ts
+++ b/projects/app/src/pages/api/core/dataset/data/pushData.ts
@@ -125,7 +125,7 @@ export async function pushDataToDatasetCollection({

  // 插入记录
  const insertRes = await MongoDatasetTraining.insertMany(
-    filterResult.success.map((item) => ({
+    filterResult.success.map((item, i) => ({
      teamId,
      tmbId,
      datasetId,
@@ -136,6 +136,7 @@ export async function pushDataToDatasetCollection({
      model,
      q: item.q,
      a: item.a,
+      chunkIndex: i,
      indexes: item.indexes
    }))
  );
--- a/projects/app/src/pages/api/core/dataset/delete.ts
+++ b/projects/app/src/pages/api/core/dataset/delete.ts
@@ -4,7 +4,6 @@ import { connectToDatabase } from '@/service/mongo';
 import { MongoDatasetTraining } from '@fastgpt/service/core/dataset/training/schema';
 import { MongoDataset } from '@fastgpt/service/core/dataset/schema';
 import { delDatasetFiles } from '@fastgpt/service/core/dataset/file/controller';
-import { Types } from '@fastgpt/service/common/mongo';
 import { MongoDatasetCollection } from '@fastgpt/service/core/dataset/collection/schema';
 import { authDataset } from '@fastgpt/service/support/permission/auth/dataset';
 import { delDataByDatasetId } from '@/service/core/dataset/data/controller';
--- a/projects/app/src/pages/api/core/plugin/templates.ts
+++ b/projects/app/src/pages/api/core/plugin/templates.ts
@@ -16,7 +16,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<

    const [userPlugins, plusPlugins] = await Promise.all([
      MongoPlugin.find({ teamId }).lean(),
-      GET<PluginTemplateType[]>('/core/plugin/getTemplates')
+      global.systemEnv.pluginBaseUrl ? GET<PluginTemplateType[]>('/core/plugin/getTemplates') : []
    ]);

    const data: FlowModuleTemplateType[] = [
--- a/projects/app/src/pages/api/v1/chat/completions.ts
+++ b/projects/app/src/pages/api/v1/chat/completions.ts
@@ -142,7 +142,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
          responseDetail: detail,
          apikey,
          authType,
-          canWrite: false
+          canWrite: true
        };
      }

--- a/projects/app/src/pages/app/detail/components/SimpleEdit/index.tsx
+++ b/projects/app/src/pages/app/detail/components/SimpleEdit/index.tsx
@@ -144,6 +144,7 @@ function ConfigForm({
      templateId: appDetail.simpleTemplateId,
      modules: appDetail.modules
    });
+
    reset(formVal);
    setTimeout(() => {
      setRefresh((state) => !state);
--- a/projects/app/src/pages/dataset/detail/components/CollectionCard.tsx
+++ b/projects/app/src/pages/dataset/detail/components/CollectionCard.tsx
@@ -36,7 +36,11 @@ import MyMenu from '@/components/MyMenu';
 import { useEditTitle } from '@/web/common/hooks/useEditTitle';
 import type { DatasetCollectionsListItemType } from '@/global/core/dataset/type.d';
 import EmptyTip from '@/components/EmptyTip';
-import { FolderAvatarSrc, DatasetCollectionTypeEnum } from '@fastgpt/global/core/dataset/constant';
+import {
+  FolderAvatarSrc,
+  DatasetCollectionTypeEnum,
+  TrainingModeEnum
+} from '@fastgpt/global/core/dataset/constant';
 import { getCollectionIcon } from '@fastgpt/global/core/dataset/utils';
 import EditFolderModal, { useEditFolder } from '../../component/EditFolderModal';
 import { TabEnum } from '..';
@@ -347,7 +351,7 @@ const CollectionCard = () => {
              <Th>#</Th>
              <Th>{t('common.Name')}</Th>
              <Th>{t('dataset.collections.Data Amount')}</Th>
-              <Th>{t('common.Time')}</Th>
+              <Th>{t('core.dataset.Sync Time')}</Th>
              <Th>{t('common.Status')}</Th>
              <Th />
            </Tr>
--- a/projects/app/src/pages/dataset/detail/components/DataCard.tsx
+++ b/projects/app/src/pages/dataset/detail/components/DataCard.tsx
@@ -1,5 +1,20 @@
 import React, { useCallback, useState, useRef, useMemo } from 'react';
-import { Box, Card, IconButton, Flex, Grid, Button } from '@chakra-ui/react';
+import {
+  Box,
+  Card,
+  IconButton,
+  Flex,
+  Grid,
+  Button,
+  useTheme,
+  Drawer,
+  DrawerBody,
+  DrawerFooter,
+  DrawerHeader,
+  DrawerOverlay,
+  DrawerContent,
+  useDisclosure
+} from '@chakra-ui/react';
 import { usePagination } from '@/web/common/hooks/usePagination';
 import {
  getDatasetDataList,
@@ -23,12 +38,23 @@ import { TabEnum } from '..';
 import { useUserStore } from '@/web/support/user/useUserStore';
 import { TeamMemberRoleEnum } from '@fastgpt/global/support/user/team/constant';
 import { getDefaultIndex } from '@fastgpt/global/core/dataset/utils';
+import { useSystemStore } from '@/web/common/system/useSystemStore';
+import {
+  DatasetCollectionTypeMap,
+  DatasetCollectionTrainingTypeMap
+} from '@fastgpt/global/core/dataset/constant';
+import { formatTime2YMDHM } from '@fastgpt/global/common/string/time';
+import { formatFileSize } from '@fastgpt/global/common/file/tools';
+import { getFileAndOpen } from '@/web/core/dataset/utils';
+import MyTooltip from '@/components/MyTooltip';

 const DataCard = () => {
  const BoxRef = useRef<HTMLDivElement>(null);
+  const theme = useTheme();
  const lastSearch = useRef('');
  const router = useRouter();
  const { userInfo } = useUserStore();
+  const { isPc } = useSystemStore();
  const { collectionId = '' } = router.query as { collectionId: string };
  const { Loading, setIsLoading } = useLoading({ defaultLoading: true });
  const { t } = useTranslation();
@@ -37,6 +63,7 @@ const DataCard = () => {
  const { openConfirm, ConfirmModal } = useConfirm({
    content: t('dataset.Confirm to delete the data')
  });
+  const { isOpen, onOpen, onClose } = useDisclosure();

  const {
    data: datasetDataList,
@@ -81,6 +108,43 @@ const DataCard = () => {
    [collection?.canWrite, userInfo?.team?.role]
  );

+  const metadataList = useMemo(
+    () =>
+      collection
+        ? [
+            {
+              label: t('core.dataset.collection.metadata.source'),
+              value: t(DatasetCollectionTypeMap[collection.type]?.name)
+            },
+            {
+              label: t('core.dataset.collection.metadata.source name'),
+              value: collection.file?.filename || collection?.rawLink || collection?.name
+            },
+            {
+              label: t('core.dataset.collection.metadata.source size'),
+              value: collection.file ? formatFileSize(collection.file.length) : '-'
+            },
+            {
+              label: t('core.dataset.collection.metadata.Createtime'),
+              value: formatTime2YMDHM(collection.createTime)
+            },
+            {
+              label: t('core.dataset.collection.metadata.Updatetime'),
+              value: formatTime2YMDHM(collection.updateTime)
+            },
+            {
+              label: t('core.dataset.collection.metadata.Training Type'),
+              value: t(DatasetCollectionTrainingTypeMap[collection.trainingType]?.label)
+            },
+            {
+              label: t('core.dataset.collection.metadata.Chunk Size'),
+              value: collection.chunkSize || '-'
+            }
+          ]
+        : [],
+    [collection, t]
+  );
+
  return (
    <Box ref={BoxRef} position={'relative'} px={5} py={[1, 5]} h={'100%'} overflow={'overlay'}>
      <Flex alignItems={'center'}>
@@ -106,7 +170,7 @@ const DataCard = () => {
          <Box lineHeight={1.2}>
            <RawSourceText
              sourceName={collection?.name}
-              sourceId={collection?.metadata?.fileId || collection?.metadata?.rawLink}
+              sourceId={collection?.fileId || collection?.rawLink}
              fontSize={['md', 'lg']}
              color={'black'}
              textDecoration={'none'}
@@ -122,7 +186,7 @@ const DataCard = () => {
        {canWrite && (
          <Box>
            <Button
-              ml={2}
+              mx={2}
              variant={'base'}
              size={['sm', 'md']}
              onClick={() => {
@@ -137,6 +201,17 @@ const DataCard = () => {
            </Button>
          </Box>
        )}
+        {isPc && (
+          <MyTooltip label={t('core.dataset.collection.metadata.Read Metadata')}>
+            <IconButton
+              variant={'base'}
+              size={['sm', 'md']}
+              icon={<MyIcon name={'menu'} w={'18px'} />}
+              aria-label={''}
+              onClick={onOpen}
+            />
+          </MyTooltip>
+        )}
      </Flex>
      <Flex my={3} alignItems={'center'}>
        <Box>
@@ -178,16 +253,23 @@ const DataCard = () => {
        gridTemplateColumns={['1fr', 'repeat(2,1fr)', 'repeat(3,1fr)', 'repeat(4,1fr)']}
        gridGap={4}
      >
-        {datasetDataList.map((item) => (
+        {datasetDataList.map((item, index) => (
          <Card
            key={item._id}
            cursor={'pointer'}
-            pt={3}
+            p={3}
            userSelect={'none'}
            boxShadow={'none'}
-            _hover={{ boxShadow: 'lg', '& .delete': { display: 'flex' } }}
-            border={'1px solid '}
-            borderColor={'myGray.200'}
+            bg={'myWhite.500'}
+            border={theme.borders.sm}
+            position={'relative'}
+            overflow={'hidden'}
+            _hover={{
+              borderColor: 'myGray.200',
+              boxShadow: 'lg',
+              bg: 'white',
+              '& .footer': { h: 'auto', p: 3 }
+            }}
            onClick={() => {
              if (!collection) return;
              setEditInputData({
@@ -198,57 +280,113 @@ const DataCard = () => {
              });
            }}
          >
-            <Box
-              h={'95px'}
-              overflow={'hidden'}
-              wordBreak={'break-all'}
-              px={3}
-              py={1}
-              fontSize={'13px'}
-            >
-              <Box color={'myGray.1000'} mb={2}>
-                {item.q}
+            <Flex zIndex={1} alignItems={'center'} justifyContent={'space-between'}>
+              <Box border={theme.borders.base} px={2} fontSize={'sm'} mr={1} borderRadius={'md'}>
+                # {index + 1}
              </Box>
-              <Box color={'myGray.600'}>{item.a}</Box>
-            </Box>
-            <Flex py={2} px={4} h={'36px'} alignItems={'flex-end'} fontSize={'sm'}>
-              <Box className={'textEllipsis'} flex={1} color={'myGray.500'}>
+              <Box className={'textEllipsis'} color={'myGray.500'} fontSize={'xs'}>
                ID:{item._id}
              </Box>
-              {canWrite && (
-                <IconButton
-                  className="delete"
-                  display={['flex', 'none']}
-                  icon={<DeleteIcon />}
-                  variant={'base'}
-                  colorScheme={'gray'}
-                  aria-label={'delete'}
-                  size={'xs'}
-                  borderRadius={'md'}
-                  _hover={{ color: 'red.600' }}
-                  onClick={(e) => {
-                    e.stopPropagation();
-                    openConfirm(async () => {
-                      try {
-                        setIsLoading(true);
-                        await delOneDatasetDataById(item._id);
-                        getData(pageNum);
-                      } catch (error) {
-                        toast({
-                          title: getErrText(error),
-                          status: 'error'
-                        });
-                      }
-                      setIsLoading(false);
-                    })();
-                  }}
-                />
-              )}
            </Flex>
+            <Box
+              maxH={'135px'}
+              overflow={'hidden'}
+              wordBreak={'break-all'}
+              pt={1}
+              pb={3}
+              fontSize={'13px'}
+            >
+              <Box color={'black'} mb={1}>
+                {item.q}
+              </Box>
+              <Box color={'myGray.700'}>{item.a}</Box>
+
+              <Flex
+                className="footer"
+                position={'absolute'}
+                top={0}
+                bottom={0}
+                left={0}
+                right={0}
+                h={'0'}
+                overflow={'hidden'}
+                p={0}
+                bg={'linear-gradient(to top, white,white 20%, rgba(255,255,255,0) 60%)'}
+                alignItems={'flex-end'}
+                fontSize={'sm'}
+              >
+                <Flex alignItems={'center'}>
+                  <MyIcon name="common/text/t" w={'14px'} mr={1} color={'myGray.500'} />
+                  {item.q.length + (item.a?.length || 0)}
+                </Flex>
+                <Box flex={1} />
+                {canWrite && (
+                  <IconButton
+                    display={'flex'}
+                    icon={<DeleteIcon />}
+                    variant={'base'}
+                    colorScheme={'gray'}
+                    aria-label={'delete'}
+                    size={'xs'}
+                    borderRadius={'md'}
+                    _hover={{ color: 'red.600' }}
+                    onClick={(e) => {
+                      e.stopPropagation();
+                      openConfirm(async () => {
+                        try {
+                          setIsLoading(true);
+                          await delOneDatasetDataById(item._id);
+                          getData(pageNum);
+                        } catch (error) {
+                          toast({
+                            title: getErrText(error),
+                            status: 'error'
+                          });
+                        }
+                        setIsLoading(false);
+                      })();
+                    }}
+                  />
+                )}
+              </Flex>
+            </Box>
          </Card>
        ))}
      </Grid>

+      {/* metadata drawer */}
+      <Drawer isOpen={isOpen} placement="right" size={'md'} onClose={onClose}>
+        <DrawerOverlay />
+        <DrawerContent>
+          <DrawerHeader>{t('core.dataset.collection.metadata.metadata')}</DrawerHeader>
+
+          <DrawerBody>
+            {metadataList.map((item) => (
+              <Flex key={item.label} alignItems={'center'} mb={5}>
+                <Box color={'myGray.500'} w={'100px'}>
+                  {item.label}
+                </Box>
+                <Box>{item.value}</Box>
+              </Flex>
+            ))}
+            {collection?.sourceId && (
+              <Button
+                variant={'base'}
+                onClick={() => collection.sourceId && getFileAndOpen(collection.sourceId)}
+              >
+                {t('core.dataset.collection.metadata.read source')}
+              </Button>
+            )}
+          </DrawerBody>
+
+          <DrawerFooter>
+            <Button variant={'base'} onClick={onClose}>
+              {t('common.Close')}
+            </Button>
+          </DrawerFooter>
+        </DrawerContent>
+      </Drawer>
+
      {total > pageSize && (
        <Flex mt={2} justifyContent={'center'}>
          <Pagination />
--- a/projects/app/src/pages/dataset/detail/components/Import/FileSelect.tsx
+++ b/projects/app/src/pages/dataset/detail/components/Import/FileSelect.tsx
@@ -19,7 +19,6 @@ import { customAlphabet } from 'nanoid';
 import dynamic from 'next/dynamic';
 import MyTooltip from '@/components/MyTooltip';
 import type { FetchResultItem } from '@fastgpt/global/common/plugin/types/pluginRes.d';
-import type { DatasetCollectionSchemaType } from '@fastgpt/global/core/dataset/type';
 import { getErrText } from '@fastgpt/global/common/error/utils';
 import { useDatasetStore } from '@/web/core/dataset/store/dataset';
 import { getFileIcon } from '@fastgpt/global/common/file/icon';
@@ -40,7 +39,8 @@ export type FileItemType = {
  icon: string;
  tokens: number; // total tokens
  type: DatasetCollectionTypeEnum.file | DatasetCollectionTypeEnum.link;
-  metadata: DatasetCollectionSchemaType['metadata'];
+  fileId?: string;
+  rawLink?: string;
 };

 export interface Props extends BoxProps {
@@ -157,9 +157,7 @@ const FileSelect = ({
                .join('\n')}`,
              chunks: filterData,
              type: DatasetCollectionTypeEnum.file,
-              metadata: {
-                fileId
-              }
+              fileId
            };

            onPushFiles([fileItem]);
@@ -195,9 +193,7 @@ const FileSelect = ({
              text,
              tokens: splitRes.tokens,
              type: DatasetCollectionTypeEnum.file,
-              metadata: {
-                fileId
-              },
+              fileId,
              chunks: splitRes.chunks.map((chunk) => ({
                q: chunk,
                a: ''
@@ -220,7 +216,7 @@ const FileSelect = ({
  // link fetch
  const onUrlFetch = useCallback(
    (e: FetchResultItem[]) => {
-      const result: FileItemType[] = e.map(({ url, content }) => {
+      const result: FileItemType[] = e.map<FileItemType>(({ url, content }) => {
        const splitRes = splitText2Chunks({
          text: content,
          chunkLen,
@@ -233,9 +229,7 @@ const FileSelect = ({
          text: content,
          tokens: splitRes.tokens,
          type: DatasetCollectionTypeEnum.link,
-          metadata: {
-            rawLink: url
-          },
+          rawLink: url,
          chunks: splitRes.chunks.map((chunk) => ({
            q: chunk,
            a: ''
@@ -277,9 +271,7 @@ const FileSelect = ({
          text: content,
          tokens: splitRes.tokens,
          type: DatasetCollectionTypeEnum.file,
-          metadata: {
-            fileId: fileIds[0]
-          },
+          fileId: fileIds[0],
          chunks: splitRes.chunks.map((chunk) => ({
            q: chunk,
            a: ''
--- a/projects/app/src/pages/dataset/detail/components/Import/ImportModal.tsx
+++ b/projects/app/src/pages/dataset/detail/components/Import/ImportModal.tsx
@@ -11,7 +11,10 @@ import MyModal from '@/components/MyModal';
 import Provider from './Provider';
 import { useDatasetStore } from '@/web/core/dataset/store/dataset';
 import { qaModelList } from '@/web/common/system/staticData';
-import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constant';
+import {
+  DatasetCollectionTrainingModeEnum,
+  TrainingModeEnum
+} from '@fastgpt/global/core/dataset/constant';

 export enum ImportTypeEnum {
  chunk = 'chunk',
@@ -43,19 +46,22 @@ const ImportData = ({
        defaultChunkLen: vectorModel?.defaultToken || 500,
        chunkOverlapRatio: 0.2,
        unitPrice: vectorModel?.price || 0.2,
-        mode: TrainingModeEnum.chunk
+        mode: TrainingModeEnum.chunk,
+        collectionTrainingType: DatasetCollectionTrainingModeEnum.chunk
      },
      [ImportTypeEnum.qa]: {
        defaultChunkLen: agentModel?.maxContext * 0.6 || 8000,
        chunkOverlapRatio: 0,
        unitPrice: agentModel?.price || 3,
-        mode: TrainingModeEnum.qa
+        mode: TrainingModeEnum.qa,
+        collectionTrainingType: DatasetCollectionTrainingModeEnum.qa
      },
      [ImportTypeEnum.csv]: {
-        defaultChunkLen: vectorModel?.defaultToken || 500,
+        defaultChunkLen: 0,
        chunkOverlapRatio: 0,
        unitPrice: vectorModel?.price || 0.2,
-        mode: TrainingModeEnum.chunk
+        mode: TrainingModeEnum.chunk,
+        collectionTrainingType: DatasetCollectionTrainingModeEnum.manual
      }
    };
    return map[importType];
--- a/projects/app/src/pages/dataset/detail/components/Import/Provider.tsx
+++ b/projects/app/src/pages/dataset/detail/components/Import/Provider.tsx
@@ -15,7 +15,10 @@ import { formatPrice } from '@fastgpt/global/support/wallet/bill/tools';
 import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
 import { useToast } from '@/web/common/hooks/useToast';
 import { getErrText } from '@fastgpt/global/common/error/utils';
-import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constant';
+import {
+  DatasetCollectionTrainingModeEnum,
+  TrainingModeEnum
+} from '@fastgpt/global/core/dataset/constant';
 import { Box, Flex, Image, useTheme } from '@chakra-ui/react';
 import { CloseIcon } from '@chakra-ui/icons';
 import DeleteIcon, { hoverDeleteStyles } from '@/components/Icon/delete';
@@ -92,6 +95,7 @@ const Provider = ({
  parentId,
  unitPrice,
  mode,
+  collectionTrainingType,
  vectorModel,
  agentModel,
  defaultChunkLen = 500,
@@ -104,6 +108,7 @@ const Provider = ({
  parentId: string;
  unitPrice: number;
  mode: `${TrainingModeEnum}`;
+  collectionTrainingType: `${DatasetCollectionTrainingModeEnum}`;
  vectorModel: string;
  agentModel: string;
  defaultChunkLen: number;
@@ -150,7 +155,10 @@ const Provider = ({
          parentId,
          name: file.filename,
          type: file.type,
-          metadata: file.metadata
+          fileId: file.fileId,
+          rawLink: file.rawLink,
+          chunkSize: chunkLen,
+          trainingType: collectionTrainingType
        });

        // upload data
--- a/projects/app/src/pages/dataset/detail/components/InputDataModal.tsx
+++ b/projects/app/src/pages/dataset/detail/components/InputDataModal.tsx
@@ -427,7 +427,11 @@ export function RawSourceText({
        {...props}
      >
        <Image src={icon} alt="" w={['14px', '16px']} mr={2} />
-        <Box maxW={['200px', '300px']} className={props.className ?? 'textEllipsis'}>
+        <Box
+          maxW={['200px', '300px']}
+          className={props.className ?? 'textEllipsis'}
+          wordBreak={'break-all'}
+        >
          {sourceName || t('common.UnKnow Source')}
        </Box>
      </Box>
--- a/projects/app/src/service/core/dataset/data/controller.ts
+++ b/projects/app/src/service/core/dataset/data/controller.ts
@@ -22,6 +22,7 @@ export async function insertData2Dataset({
  collectionId,
  q,
  a = '',
+  chunkIndex = 0,
  indexes,
  model
 }: CreateDatasetDataProps & {
@@ -73,6 +74,7 @@ export async function insertData2Dataset({
    q,
    a,
    fullTextToken: jiebaSplit({ text: qaStr }),
+    chunkIndex,
    indexes: indexes.map((item, i) => ({
      ...item,
      dataId: result[i].insertId
--- a/projects/app/src/service/core/dataset/data/pg.ts
+++ b/projects/app/src/service/core/dataset/data/pg.ts
@@ -270,7 +270,7 @@ export async function embeddingRecall({
      {
        _id: { $in: filterRows.map((item) => item.collection_id) }
      },
-      'name metadata'
+      'name fileId rawLink'
    ).lean(),
    MongoDatasetData.find(
      {
@@ -297,7 +297,7 @@ export async function embeddingRecall({
        datasetId: String(data.datasetId),
        collectionId: String(data.collectionId),
        sourceName: collection.name || '',
-        sourceId: collection.metadata?.fileId || collection.metadata?.rawLink,
+        sourceId: collection?.fileId || collection?.rawLink,
        score: item.score
      };
    })
@@ -352,7 +352,7 @@ export async function fullTextRecall({ text, limit, datasetIds = [] }: SearchPro
    {
      _id: { $in: searchResults.map((item) => item.collectionId) }
    },
-    '_id name metadata'
+    '_id name fileId rawLink'
  );

  return {
@@ -363,7 +363,7 @@ export async function fullTextRecall({ text, limit, datasetIds = [] }: SearchPro
        datasetId: String(item.datasetId),
        collectionId: String(item.collectionId),
        sourceName: collection?.name || '',
-        sourceId: collection?.metadata?.fileId || collection?.metadata?.rawLink,
+        sourceId: collection?.fileId || collection?.rawLink,
        q: item.q,
        a: item.a,
        indexes: item.indexes,
--- a/projects/app/src/service/events/generateVector.ts
+++ b/projects/app/src/service/events/generateVector.ts
@@ -50,6 +50,7 @@ export async function generateVector(): Promise<any> {
          collectionId: 1,
          q: 1,
          a: 1,
+          chunkIndex: 1,
          indexes: 1,
          model: 1,
          billId: 1
@@ -134,6 +135,7 @@ export async function generateVector(): Promise<any> {
      collectionId: data.collectionId,
      q: dataItem.q,
      a: dataItem.a,
+      chunkIndex: data.chunkIndex,
      indexes: dataItem.indexes,
      model: data.model
    });
--- a/projects/app/src/service/moduleDispatch/dataset/search.ts
+++ b/projects/app/src/service/moduleDispatch/dataset/search.ts
@@ -65,7 +65,8 @@ export async function dispatchDatasetSearch(
      model: vectorModel.name,
      tokens: tokenLen,
      similarity,
-      limit
+      limit,
+      searchMode
    }
  };
 }
--- a/projects/app/src/service/support/permission/auth/dataset.ts
+++ b/projects/app/src/service/support/permission/auth/dataset.ts
@@ -31,7 +31,7 @@ export async function authDatasetData({
    datasetId: String(datasetData.datasetId),
    collectionId: String(datasetData.collectionId),
    sourceName: result.collection.name || '',
-    sourceId: result.collection.metadata?.fileId || result.collection.metadata?.rawLink,
+    sourceId: result.collection?.fileId || result.collection?.rawLink,
    isOwner: String(datasetData.tmbId) === result.tmbId,
    canWrite: result.canWrite
  };
--- a/projects/app/src/web/core/dataset/api.ts
+++ b/projects/app/src/web/core/dataset/api.ts
@@ -16,10 +16,7 @@ import type {
  InsertOneDatasetDataProps
 } from '@/global/core/dataset/api.d';
 import type { PushDataResponse } from '@/global/core/api/datasetRes.d';
-import type {
-  DatasetCollectionItemType,
-  SearchDataResponseItemType
-} from '@fastgpt/global/core/dataset/type';
+import type { DatasetCollectionItemType } from '@fastgpt/global/core/dataset/type';
 import { DatasetTypeEnum } from '@fastgpt/global/core/dataset/constant';
 import type { DatasetDataItemType } from '@fastgpt/global/core/dataset/type';
 import type { DatasetCollectionsListItemType } from '@/global/core/dataset/type.d';