v4.6.6-search test adapt diff search mode (#685)

2025-07-22 20:37:48 +00:00 · 2024-01-03 15:40:03 +08:00
parent c766a0ed8a
commit 13b10720ac
57 changed files with 1101 additions and 612 deletions
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -5,7 +5,6 @@
    "prettier.prettierPath": "./node_modules/prettier",
    "i18n-ally.localesPaths": [
        "projects/app/public/locales",
-        "projects/home/public/locales"
    ],
    "i18n-ally.enabledParsers": ["json"],
    "i18n-ally.keystyle": "nested",
--- a/README.md
+++ b/README.md
@@ -48,19 +48,20 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
    <img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
 </a>

-## 💡 功能
+## 💡 RoadMap

-`1` 强大的可视化编排，轻松构建 AI 应用
+`1` 应用编排能力
   - [x] 提供简易模式，无需操作编排
   - [x] 对话下一步指引
   - [x] 工作流编排
-   - [x] 对话下一步指引
   - [x] 源文件引用追踪
   - [x] 模块封装，实现多级复用
+   - [x] 混合检索 & 重排
+   - [ ] 自查询规划
   - [ ] 嵌入 [Laf](https://github.com/labring/laf)，实现在线编写 HTTP 模块
-   - [ ] 混合检索 & 重排
+   - [ ] 插件封装功能

-`2` 丰富的知识库预处理
+`2` 知识库能力
   - [x] 多库复用，混用
   - [x] chunk 记录修改和删除
   - [x] 支持知识库单独设置向量模型
@@ -68,22 +69,26 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
   - [x] 支持手动输入，直接分段，QA 拆分导入
   - [x] 支持 pdf、word、txt、md 等常用文件，支持 url 读取、CSV 批量导入
   - [ ] 支持 HTML、csv、PPT、Excel 导入
+   - [ ] 支持文件阅读器
   - [ ] 支持差异性文件同步
   - [ ] 更多的数据预处理方案
  
-`3` 多种效果测试渠道
+`3` 应用调试能力
   - [x] 知识库单点搜索测试
   - [x] 对话时反馈引用并可修改与删除
   - [x] 完整上下文呈现
   - [x] 完整模块中间值呈现
+   - [ ] 高级编排 DeBug 模式
  
-`4` OpenAPI
+`4` OpenAPI 接口
   - [x] completions 接口 (对齐 GPT 接口)
   - [ ] 知识库 CRUD
+   - [ ] 对话 CRUD
  
-`5` 运营功能
+`5` 运营能力
   - [x] 免登录分享窗口
   - [x] Iframe 一键嵌入
+   - [x] 聊天窗口嵌入支持自定义 Icon，默认打开，拖拽等功能
   - [x] 统一查阅对话记录，并对数据进行标注

 <a href="#readme">
--- a/docSite/content/docs/development/configuration.md
+++ b/docSite/content/docs/development/configuration.md
@@ -307,3 +307,27 @@ weight: 708
  }
 }
 ```
+
+## 特殊模型
+
+### ReRank 接入
+
+请使用 4.6.6-alpha 以上版本，配置文件中的 `reRankModels` 为重排模型，虽然是数组，不过目前仅有第1个生效。
+
+1. [部署 ReRank 模型](/docs/development/custom-models/reranker/)
+1. 找到 FastGPT 的配置文件中的 `reRankModels`， 4.6.6 以前是 `ReRankModels`。
+2. 修改对应的值：（记得去掉注释）
+
+```json
+{
+    "reRankModels": [
+        {
+            "model": "bge-reranker-base", // 随意
+            "name": "检索重排-base", // 随意
+            "inputPrice": 0,
+            "requestUrl": "{{host}}/api/v1/rerank",
+            "requestAuth": "安全凭证，已自动补 Bearer"
+        }
+    ]
+}
+```
--- a/docSite/content/docs/development/custom-models/reranker.md
+++ b/docSite/content/docs/development/custom-models/reranker.md
@@ -0,0 +1,64 @@
+---
+title: '接入 ReRank 重排模型'
+description: '接入 ReRank 重排模型'
+icon: 'sort'
+draft: false
+toc: true
+weight: 910
+---
+
+## 推荐配置
+
+推荐配置如下：
+
+{{< table "table-hover table-striped-columns" >}}
+| 类型 | 内存 | 显存 | 硬盘空间 | 启动命令 |
+|------|---------|---------|----------|--------------------------|
+| base | >=4GB | >=3GB | >=8GB | python app.py |
+{{< /table >}}
+
+## 部署
+
+### 环境要求
+
+- Python 3.10.11
+- CUDA 11.7
+- 科学上网环境
+
+### 源码部署
+
+1. 根据上面的环境配置配置好环境，具体教程自行 GPT；
+2. 下载 [python 文件](app.py)
+3. 在命令行输入命令 `pip install -r requirments.txt`；
+4. 按照[https://huggingface.co/BAAI/bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base)下载模型仓库到app.py同级目录
+5. 添加环境变量 `export ACCESS_TOKEN=XXXXXX` 配置 token，这里的 token 只是加一层验证，防止接口被人盗用，默认值为 `ACCESS_TOKEN` ；
+6. 执行命令 `python app.py`。
+
+然后等待模型下载，直到模型加载完毕为止。如果出现报错先问 GPT。
+
+启动成功后应该会显示如下地址：
+
+![](/imgs/chatglm2.png)
+
+> 这里的 `http://0.0.0.0:6006` 就是连接地址。
+
+### docker 部署
+
+ 镜像名: `luanshaotong/reranker:v0.1`  
+ 端口号: 6006
+ 大小：约8GB
+
+**设置安全凭证（即oneapi中的渠道密钥）**
+```
+ACCESS_TOKEN=mytoken
+```
+
+**运行命令示例**
+
+```sh
+docker run -d --name reranker -p 6006:6006 -e ACCESS_TOKEN=mytoken luanshaotong/reranker:v0.1
+```
+
+## 接入 FastGPT
+
+参考 [ReRank模型接入](/docs/development/configuration/#rerank-接入)，host 变量为部署的域名。
--- a/docSite/content/docs/development/openapi/dataset.md
+++ b/docSite/content/docs/development/openapi/dataset.md
@@ -157,7 +157,7 @@ A2:

 ## 搜索测试

-{{< tabs tabTotal="2" >}}
+{{< tabs tabTotal="3" >}}
 {{< tab tabName="请求示例" >}}
 {{< markdownify >}}

@@ -168,18 +168,33 @@ curl --location --request POST 'https://api.fastgpt.in/api/core/dataset/searchTe
 --data-raw '{
    "datasetId": "知识库的ID",
    "text": "导演是谁",
-    "rarank": true,
-    "limit": 20
+    "limit": 5000,
+    "similarity": 0,
+    "searchMode": "embedding",
+    "usingReRank": false
 }'
 ```

 {{< /markdownify >}}
 {{< /tab >}}

+{{< tab tabName="参数说明" >}}
+{{< markdownify >}}
+
+- datasetId - 知识库ID
+- text - 需要测试的文本
+- limit - 最大 tokens 数量
+- similarity - 最低相关度（0~1，可选）
+- searchMode - 搜索模式：embedding | fullTextRecall | mixedRecall
+- usingReRank - 使用重排
+
+{{< /markdownify >}}
+{{< /tab >}}
+
 {{< tab tabName="响应示例" >}}
 {{< markdownify >}}

-返回 top k 结果， limit 为预估条数，会按每条数据 800 tokens 的长度进行预估，20条也就是返回 16000 tokens 长度的数据，最多测试 30000 tokens 的数据。
+返回 top k 结果， limit 为最大 Tokens 数量，最多 20000 tokens。

 ```bash
 {
@@ -190,15 +205,6 @@ curl --location --request POST 'https://api.fastgpt.in/api/core/dataset/searchTe
        "id": "65599c54a5c814fb803363cb",
        "q": "你是谁",
        "a": "我是FastGPT助手",
-        "indexes": [
-            {
-                "defaultIndex": true,
-                "type": "qa",
-                "dataId": "3645952",
-                "text": "你是谁\n我是FastGPT助手",
-                "_id": "65599c5588271af95b019862"
-            }
-        ],
        "datasetId": "6554684f7f9ed18a39a4d15c",
        "collectionId": "6556cd795e4b663e770bb66d",
        "sourceName": "GBT 15104-2021 装饰单板贴面人造板.pdf",
--- a/docSite/content/docs/development/qa.md
+++ b/docSite/content/docs/development/qa.md
@@ -7,12 +7,29 @@ draft: false
 images: []
 ---

+## 错误排查方式
+
+遇到问题先按下面方式排查。
+
+1. `docker ps -a` 查看所有容器运行状态，检查是否全部 running，如有异常，尝试`docker logs 容器名`查看对应日志。
+2. 不懂 docker 不要瞎改端口，只需要改`OPENAI_BASE_URL`和`CHAT_API_KEY`即可。
+3. 容器都运行正常的，`docker logs 容器名` 查看报错日志
+4. 无法解决时，可以找找[Issue](https://github.com/labring/FastGPT/issues)，或新提 Issue，私有部署错误，务必提供详细的日志，否则很难排查。
+
+
 ## 通用问题

 ### insufficient_user_quota user quota is not enough 

 OneAPI 账号的余额不足，默认 root 用户只有 200 刀，可以手动修改。

+### xxx渠道找不到
+
+OneAPI 中没有配置该模型渠道。
+
+### 页面中可以正常回复，API 报错
+
+页面中是用 stream=true 模式，所以API也需要设置 stream=true 来进行测试。部分模型接口（国产居多）非 Stream 的兼容有点垃圾。

 ## Docker 部署常见问题

@@ -66,11 +83,3 @@ PG 数据库没有连接上/初始化失败，可以查看日志。FastGPT 会
 mongo连接失败，检查
 1. mongo 服务有没有起来(有些 cpu 不支持 AVX，无法用 mongo5，需要换成 mongo4.x，可以dockerhub找个最新的4.x，修改镜像版本，重新运行）
 2. 环境变量（账号密码，注意host和port）
-
-
-### 错误排查方式
-
-遇到问题先按下面方式排查。
-
-1. `docker ps -a` 查看所有容器运行状态，检查是否全部 running，如有异常，尝试`docker logs 容器名`查看对应日志。
-2. 不懂 docker 不要瞎改端口，只需要改`OPENAI_BASE_URL`和`CHAT_API_KEY`即可。
--- a/docSite/content/docs/development/upgrading/466.md
+++ b/docSite/content/docs/development/upgrading/466.md
@@ -13,10 +13,9 @@ weight: 830

 为了减少代码重复度，我们对配置文件做了一些修改：[点击查看最新的配置文件](/docs/development/configuration/)

+## V4.6.6 更新说明

-
-## V4.6.6 即将更新
-
-1. UI 优化，未来将逐步替换新的UI设计。
-
-
+1. 新增 - 搜索方式：分离向量语义检索，全文检索和重排，通过 RRF 进行排序合并。
+2. 优化 - 问题分类提示词，id引导。测试国产商用 api 模型（百度阿里智谱讯飞）使用 Prompt 模式均可分类。
+3. UI 优化，未来将逐步替换新的UI设计。
+4. 查看 [FastGPT 2024 RoadMap](https://github.com/labring/FastGPT?tab=readme-ov-file#-%E5%9C%A8%E7%BA%BF%E4%BD%BF%E7%94%A8)
--- a/packages/global/core/dataset/constant.ts
+++ b/packages/global/core/dataset/constant.ts
@@ -148,5 +148,19 @@ export enum SearchScoreTypeEnum {
  reRank = 'reRank',
  rrf = 'rrf'
 }
+export const SearchScoreTypeMap = {
+  [SearchScoreTypeEnum.embedding]: {
+    label: 'core.dataset.search.score.embedding'
+  },
+  [SearchScoreTypeEnum.fullText]: {
+    label: 'core.dataset.search.score.fullText'
+  },
+  [SearchScoreTypeEnum.reRank]: {
+    label: 'core.dataset.search.score.reRank'
+  },
+  [SearchScoreTypeEnum.rrf]: {
+    label: 'core.dataset.search.score.rrf'
+  }
+};

 export const FolderAvatarSrc = '/imgs/files/folder.svg';
--- a/packages/global/core/dataset/type.d.ts
+++ b/packages/global/core/dataset/type.d.ts
@@ -162,7 +162,10 @@ export type DatasetFileSchema = {
 };

 /* ============= search =============== */
-export type SearchDataResponseItemType = Omit<DatasetDataItemType, 'isOwner' | 'canWrite'> & {
+export type SearchDataResponseItemType = Omit<
+  DatasetDataItemType,
+  'indexes' | 'isOwner' | 'canWrite'
+> & {
  score: { type: `${SearchScoreTypeEnum}`; value: number; index: number }[];
  // score: number;
 };
--- a/packages/global/core/module/template/input.ts
+++ b/packages/global/core/module/template/input.ts
@@ -27,7 +27,7 @@ export const Input_Template_History: FlowNodeInputItemType = {

 export const Input_Template_UserChatInput: FlowNodeInputItemType = {
  key: ModuleInputKeyEnum.userChatInput,
-  type: FlowNodeInputTypeEnum.target,
+  type: FlowNodeInputTypeEnum.hidden,
  label: 'core.module.input.label.user question',
  required: true,
  valueType: ModuleIOValueTypeEnum.string,
--- a/packages/global/core/module/template/output.ts
+++ b/packages/global/core/module/template/output.ts
@@ -3,6 +3,14 @@ import { ModuleOutputKeyEnum } from '../constants';
 import { FlowNodeOutputTypeEnum } from '../node/constant';
 import { ModuleIOValueTypeEnum } from '../constants';

+export const Output_Template_UserChatInput: FlowNodeOutputItemType = {
+  key: ModuleOutputKeyEnum.userChatInput,
+  label: 'core.module.input.label.user question',
+  type: FlowNodeOutputTypeEnum.hidden,
+  valueType: ModuleIOValueTypeEnum.string,
+  targets: []
+};
+
 export const Output_Template_Finish: FlowNodeOutputItemType = {
  key: ModuleOutputKeyEnum.finish,
  label: 'core.module.output.label.running done',
--- a/packages/global/core/module/template/system/aiChat.ts
+++ b/packages/global/core/module/template/system/aiChat.ts
@@ -16,7 +16,7 @@ import {
  Input_Template_UserChatInput
 } from '../input';
 import { chatNodeSystemPromptTip } from '../tip';
-import { Output_Template_Finish } from '../output';
+import { Output_Template_Finish, Output_Template_UserChatInput } from '../output';

 export const AiChatModule: FlowModuleTemplateType = {
  id: FlowNodeTypeEnum.chatNode,
@@ -131,6 +131,7 @@ export const AiChatModule: FlowModuleTemplateType = {
    Input_Template_UserChatInput
  ],
  outputs: [
+    Output_Template_UserChatInput,
    {
      key: ModuleOutputKeyEnum.history,
      label: '新的上下文',
--- a/packages/global/core/module/template/system/classifyQuestion.ts
+++ b/packages/global/core/module/template/system/classifyQuestion.ts
@@ -10,6 +10,7 @@ import {
  Input_Template_Switch,
  Input_Template_UserChatInput
 } from '../input';
+import { Output_Template_UserChatInput } from '../output';

 export const ClassifyQuestionModule: FlowModuleTemplateType = {
  id: FlowNodeTypeEnum.classifyQuestion,
@@ -72,6 +73,7 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
    }
  ],
  outputs: [
+    Output_Template_UserChatInput,
    // custom output
    {
      key: 'wqre',
--- a/packages/global/core/module/template/system/coreferenceResolution.ts
+++ b/packages/global/core/module/template/system/coreferenceResolution.ts
@@ -15,6 +15,7 @@ import {
  Input_Template_Switch,
  Input_Template_UserChatInput
 } from '../input';
+import { Output_Template_UserChatInput } from '../output';

 export const AiCFR: FlowModuleTemplateType = {
  id: FlowNodeTypeEnum.chatNode,
@@ -50,6 +51,7 @@ export const AiCFR: FlowModuleTemplateType = {
    Input_Template_UserChatInput
  ],
  outputs: [
+    Output_Template_UserChatInput,
    {
      key: ModuleOutputKeyEnum.text,
      label: 'core.module.output.label.cfr result',
--- a/packages/global/core/module/template/system/datasetSearch.ts
+++ b/packages/global/core/module/template/system/datasetSearch.ts
@@ -11,7 +11,7 @@ import {
  ModuleTemplateTypeEnum
 } from '../../constants';
 import { Input_Template_Switch, Input_Template_UserChatInput } from '../input';
-import { Output_Template_Finish } from '../output';
+import { Output_Template_Finish, Output_Template_UserChatInput } from '../output';
 import { DatasetSearchModeEnum } from '../../../dataset/constant';

 export const DatasetSearchModule: FlowModuleTemplateType = {
@@ -90,6 +90,7 @@ export const DatasetSearchModule: FlowModuleTemplateType = {
    Input_Template_UserChatInput
  ],
  outputs: [
+    Output_Template_UserChatInput,
    {
      key: ModuleOutputKeyEnum.datasetIsEmpty,
      label: '搜索结果为空',
--- a/packages/global/core/module/template/system/runApp.ts
+++ b/packages/global/core/module/template/system/runApp.ts
@@ -15,7 +15,7 @@ import {
  Input_Template_Switch,
  Input_Template_UserChatInput
 } from '../input';
-import { Output_Template_Finish } from '../output';
+import { Output_Template_Finish, Output_Template_UserChatInput } from '../output';

 export const RunAppModule: FlowModuleTemplateType = {
  id: FlowNodeTypeEnum.runApp,
@@ -41,6 +41,7 @@ export const RunAppModule: FlowModuleTemplateType = {
    Input_Template_UserChatInput
  ],
  outputs: [
+    Output_Template_UserChatInput,
    {
      key: ModuleOutputKeyEnum.history,
      label: '新的上下文',
--- a/packages/service/common/vectorStore/pg/controller.ts
+++ b/packages/service/common/vectorStore/pg/controller.ts
@@ -24,10 +24,9 @@ export async function initPg() {
      );
    `);

-    await PgClient.query(`
-    CREATE INDEX CONCURRENTLY IF NOT EXISTS vector_index ON ${PgDatasetTableName}
-      USING hnsw (vector vector_ip_ops) WITH (m = 32, ef_construction = 64);
-    `);
+    await PgClient.query(
+      `CREATE INDEX CONCURRENTLY IF NOT EXISTS vector_index ON ${PgDatasetTableName} USING hnsw (vector vector_ip_ops) WITH (m = 32, ef_construction = 64);`
+    );

    console.log('init pg successful');
  } catch (error) {
--- a/packages/service/core/chat/chatItemSchema.ts
+++ b/packages/service/core/chat/chatItemSchema.ts
@@ -80,8 +80,8 @@ const ChatItemSchema = new Schema({
 });

 try {
+  ChatItemSchema.index({ dataId: -1 });
  ChatItemSchema.index({ time: -1 });
-  ChatItemSchema.index({ userId: 1 });
  ChatItemSchema.index({ appId: 1 });
  ChatItemSchema.index({ chatId: 1 });
  ChatItemSchema.index({ userGoodFeedback: 1 });
--- a/packages/service/core/dataset/collection/controller.ts
+++ b/packages/service/core/dataset/collection/controller.ts
@@ -86,6 +86,8 @@ export const getSameRawTextCollection = async ({
  datasetId: string;
  hashRawText?: string;
 }) => {
+  if (!hashRawText) return undefined;
+
  const collection = await MongoDatasetCollection.findOne({
    datasetId,
    hashRawText
--- a/projects/app/public/docs/versionIntro.md
+++ b/projects/app/public/docs/versionIntro.md
@@ -1,4 +1,4 @@
-### Fast GPT V4.6.5
+### Fast GPT V4.6.6

 1. 新增 - [问题补全模块](https://doc.fastgpt.in/docs/workflow/modules/coreferenceresolution/)
 2. 新增 - [文本编辑模块](https://doc.fastgpt.in/docs/workflow/modules/text_editor/)
--- a/projects/app/public/locales/en/common.json
+++ b/projects/app/public/locales/en/common.json
@@ -296,6 +296,7 @@
      "Select Image": "Select Image",
      "Send Message": "Send Message",
      "Speaking": "I'm listening...",
+      "Start Chat": "Start Chat",
      "Stop Speak": "Stop Speak",
      "Type a message": "Input problem",
      "error": {
@@ -379,6 +380,7 @@
      "Name": "Name",
      "Quote Length": "Quote Length",
      "Read Dataset": "Read Dataset",
+      "Search score tip": "{{scoreText}}Here are the rankings and scores:\n----\n{{detailScore}}",
      "Set Empty Result Tip": ",Response empty text",
      "Set Website Config": "Configuring Website",
      "Similarity": "Similarity",
@@ -435,6 +437,7 @@
        "Too Long": "Content is too long",
        "Total Amount": "{{total}} Chunks",
        "data is deleted": "Data is deleted",
+        "get data error": "Get data error",
        "id": "Data ID"
      },
      "error": {
@@ -482,6 +485,7 @@
      "link": "Link",
      "search": {
        "Dataset Search Params": "Dataset Search Params",
+        "Embedding score": "Embedding score",
        "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.",
        "Max Tokens": "Max Tokens",
@@ -489,8 +493,14 @@
        "Min Similarity": "Min Similarity",
        "Min Similarity Tips": "The similarity of different index models is different, please use the search test to select the appropriate value",
        "Params Setting": "Params Setting",
+        "Rank": "Rank",
+        "Rank Tip": "Ranking in all data",
        "ReRank": "ReRank",
        "ReRank desc": "The rearrangement model is used for secondary ranking to enhance the overall ranking.",
+        "Read score": "Read score",
+        "Rerank score": "ReRank score",
+        "Score": "Score",
+        "Search type": "Type",
        "Top K": "Top K",
        "mode": {
          "embedding": "Vector search",
@@ -500,6 +510,12 @@
          "mixedRecall": "Mixedrecall",
          "mixedRecall desc": "Returns the combined results of vector and full-text searches, sorted using the RRF algorithm."
        },
+        "score": {
+          "embedding": "Embedding",
+          "fullText": "Full text",
+          "reRank": "ReRank",
+          "rrf": "RRF Merge"
+        },
        "search mode": "Search Mode"
      },
      "status": {
@@ -507,11 +523,15 @@
        "syncing": "Syncing"
      },
      "test": {
+        "Batch test": "Batch test",
+        "Batch test Placeholder": "Select one csv file",
        "Search Test": "Search Test",
        "Test": "Start",
+        "Test File": "",
        "Test Result": "Results",
        "Test Text": "Text",
        "Test Text Placeholder": "Enter the text you want to test",
+        "Test params": "Search Params",
        "delete test history": "Delete the test result",
        "test history": "Test History",
        "test result placeholder": "The test results will be presented here",
--- a/projects/app/public/locales/zh/common.json
+++ b/projects/app/public/locales/zh/common.json
@@ -296,6 +296,7 @@
      "Select Image": "选择图片",
      "Send Message": "发送",
      "Speaking": "我在听，请说...",
+      "Start Chat": "开始对话",
      "Stop Speak": "停止录音",
      "Type a message": "输入问题",
      "error": {
@@ -379,6 +380,7 @@
      "Name": "知识库名称",
      "Quote Length": "引用内容长度",
      "Read Dataset": "查看知识库详情",
+      "Search score tip": "{{scoreText}}下面是详细排名和得分情况:\n----\n{{detailScore}}",
      "Set Empty Result Tip": ",未搜索到内容时回复指定内容",
      "Set Website Config": "开始配置网站信息",
      "Similarity": "相关度",
@@ -435,6 +437,7 @@
        "Too Long": "总长度超长了",
        "Total Amount": "{{total}} 组",
        "data is deleted": "该数据已被删除",
+        "get data error": "获取数据异常",
        "id": "数据ID"
      },
      "error": {
@@ -482,6 +485,7 @@
      "link": "链接",
      "search": {
        "Dataset Search Params": "搜索参数",
+        "Embedding score": "语意检索得分",
        "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。",
        "Max Tokens": "引用上限",
@@ -489,8 +493,14 @@
        "Min Similarity": "最低相关度",
        "Min Similarity Tips": "不同索引模型的相关度有区别，请通过搜索测试来选择合适的数值，使用 ReRank 时，相关度可能会很低。",
        "Params Setting": "搜索参数设置",
+        "Rank": "排名",
+        "Rank Tip": "在所有数据中的排名",
        "ReRank": "结果重排",
        "ReRank desc": "使用重排模型来进行二次排序，可增强综合排名。",
+        "Read score": "查看得分",
+        "Rerank score": "结果重排得分",
+        "Score": "得分",
+        "Search type": "类型",
        "Top K": "单次搜索上限",
        "mode": {
          "embedding": "语义检索",
@@ -500,6 +510,12 @@
          "mixedRecall": "混合检索",
          "mixedRecall desc": "使用向量检索与全文检索的综合结果返回，使用RRF算法进行排序。"
        },
+        "score": {
+          "embedding": "语义检索",
+          "fullText": "全文检索",
+          "reRank": "结果重排",
+          "rrf": "RRF 合并"
+        },
        "search mode": "搜索模式"
      },
      "status": {
@@ -507,11 +523,15 @@
        "syncing": "同步中"
      },
      "test": {
+        "Batch test": "批量测试",
+        "Batch test Placeholder": "选择一个 Csv 文件",
        "Search Test": "搜索测试",
        "Test": "测试",
+        "Test File": "批量测试",
        "Test Result": "测试结果",
-        "Test Text": "测试文本",
+        "Test Text": "单个文本测试",
        "Test Text Placeholder": "输入需要测试的文本",
+        "Test params": "测试参数",
        "delete test history": "删除该测试结果",
        "test history": "测试历史",
        "test result placeholder": "测试结果将在这里展示",
@@ -847,7 +867,7 @@
    "Response Detail": "返回详情",
    "Response Detail tips": "是否需要返回详情（引用内容，调用时间等，不会返回预设提示词和完整上下文）",
    "token auth": "身份验证",
-    "token auth Tips": "身份校验服务器地址，如填写该值，每次对话前都会想指定服务器发送一个请求，进行身份校验",
+    "token auth Tips": "身份校验服务器地址，如填写该值，每次对话前都会向指定服务器发送一个请求，进行身份校验",
    "token auth use cases": "查看身份验证使用说明"
  },
  "permission": {
--- a/projects/app/src/components/ChatBox/ContextModal.tsx
+++ b/projects/app/src/components/ChatBox/ContextModal.tsx
@@ -32,7 +32,7 @@ const ContextModal = ({
          <Box
            key={i}
            p={2}
-            borderRadius={'lg'}
+            borderRadius={'md'}
            border={theme.borders.base}
            _notLast={{ mb: 2 }}
            position={'relative'}
--- a/projects/app/src/components/ChatBox/FeedbackModal.tsx
+++ b/projects/app/src/components/ChatBox/FeedbackModal.tsx
@@ -9,12 +9,16 @@ const FeedbackModal = ({
  appId,
  chatId,
  chatItemId,
+  shareId,
+  outLinkUid,
  onSuccess,
  onClose
 }: {
  appId: string;
  chatId: string;
  chatItemId: string;
+  shareId?: string;
+  outLinkUid?: string;
  onSuccess: (e: string) => void;
  onClose: () => void;
 }) => {
@@ -28,6 +32,8 @@ const FeedbackModal = ({
        appId,
        chatId,
        chatItemId,
+        shareId,
+        outLinkUid,
        userBadFeedback: val
      });
    },
--- a/projects/app/src/components/ChatBox/QuoteModal.tsx
+++ b/projects/app/src/components/ChatBox/QuoteModal.tsx
@@ -1,31 +1,38 @@
-import React, { useCallback, useState } from 'react';
-import { ModalBody, Box, useTheme, Flex, Progress, Link } from '@chakra-ui/react';
-import { getDatasetDataItemById } from '@/web/core/dataset/api';
-import { useLoading } from '@/web/common/hooks/useLoading';
-import { useToast } from '@/web/common/hooks/useToast';
-import { getErrText } from '@fastgpt/global/common/error/utils';
-import MyIcon from '@/components/Icon';
-import InputDataModal, {
-  RawSourceText,
-  type InputDataType
-} from '@/pages/dataset/detail/components/InputDataModal';
+import React, { useMemo, useState } from 'react';
+import { ModalBody, Box, useTheme } from '@chakra-ui/react';
+
 import MyModal from '../MyModal';
 import { useTranslation } from 'next-i18next';
 import type { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
-import MyTooltip from '../MyTooltip';
-import NextLink from 'next/link';
-import { useSystemStore } from '@/web/common/system/useSystemStore';
+import QuoteItem from '../core/dataset/QuoteItem';
+import { RawSourceText } from '@/pages/dataset/detail/components/InputDataModal';

 const QuoteModal = ({
  rawSearch = [],
  onClose,
-  isShare
+  isShare,
+  metadata
 }: {
  rawSearch: SearchDataResponseItemType[];
  onClose: () => void;
  isShare: boolean;
+  metadata?: {
+    collectionId: string;
+    sourceId?: string;
+    sourceName: string;
+  };
 }) => {
  const { t } = useTranslation();
+  const filterResults = useMemo(
+    () =>
+      metadata
+        ? rawSearch.filter(
+            (item) =>
+              item.collectionId === metadata.collectionId && item.sourceId === metadata.sourceId
+          )
+        : rawSearch,
+    [metadata, rawSearch]
+  );

  return (
    <>
@@ -35,18 +42,22 @@ const QuoteModal = ({
        h={['90vh', '80vh']}
        isCentered
        minW={['90vw', '600px']}
-        iconSrc="/imgs/modal/quote.svg"
+        iconSrc={!!metadata ? undefined : '/imgs/modal/quote.svg'}
        title={
          <Box>
-            {t('core.chat.Quote Amount', { amount: rawSearch.length })}
-            <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
+            {metadata ? (
+              <RawSourceText {...metadata} canView={false} />
+            ) : (
+              <>{t('core.chat.Quote Amount', { amount: rawSearch.length })}</>
+            )}
+            <Box fontSize={'xs'} color={'myGray.500'} fontWeight={'normal'}>
              {t('core.chat.quote.Quote Tip')}
            </Box>
          </Box>
        }
      >
-        <ModalBody whiteSpace={'pre-wrap'} textAlign={'justify'} wordBreak={'break-all'}>
-          <QuoteList rawSearch={rawSearch} isShare={isShare} />
+        <ModalBody>
+          <QuoteList rawSearch={filterResults} isShare={isShare} />
        </ModalBody>
      </MyModal>
    </>
@@ -62,38 +73,7 @@ export const QuoteList = React.memo(function QuoteList({
  rawSearch: SearchDataResponseItemType[];
  isShare: boolean;
 }) {
-  const { t } = useTranslation();
-  const { isPc } = useSystemStore();
  const theme = useTheme();
-  const { toast } = useToast();
-  const { setIsLoading, Loading } = useLoading();
-  const [editInputData, setEditInputData] = useState<InputDataType & { collectionId: string }>();
-
-  /**
-   * click edit, get new DataItem
-   */
-  const onclickEdit = useCallback(
-    async (item: InputDataType) => {
-      if (!item.id) return;
-      try {
-        setIsLoading(true);
-        const data = await getDatasetDataItemById(item.id);
-
-        if (!data) {
-          throw new Error('该数据已被删除');
-        }
-
-        setEditInputData(data);
-      } catch (err) {
-        toast({
-          status: 'warning',
-          title: getErrText(err)
-        });
-      }
-      setIsLoading(false);
-    },
-    [setIsLoading, toast]
-  );

  return (
    <>
@@ -102,113 +82,15 @@ export const QuoteList = React.memo(function QuoteList({
          key={i}
          flex={'1 0 0'}
          p={2}
-          borderRadius={'lg'}
+          borderRadius={'sm'}
          border={theme.borders.base}
          _notLast={{ mb: 2 }}
-          position={'relative'}
-          overflow={'hidden'}
          _hover={{ '& .hover-data': { display: 'flex' } }}
          bg={i % 2 === 0 ? 'white' : 'myWhite.500'}
        >
-          <Flex alignItems={'flex-end'} mb={3} fontSize={'sm'}>
-            <RawSourceText
-              fontWeight={'bold'}
-              color={'black'}
-              sourceName={item.sourceName}
-              sourceId={item.sourceId}
-              canView={!isShare}
-            />
-            <Box flex={1} />
-            {!isShare && (
-              <Link
-                as={NextLink}
-                className="hover-data"
-                display={'none'}
-                alignItems={'center'}
-                color={'primary.500'}
-                href={`/dataset/detail?datasetId=${item.datasetId}&currentTab=dataCard&collectionId=${item.collectionId}`}
-              >
-                {t('core.dataset.Go Dataset')}
-                <MyIcon name={'common/rightArrowLight'} w={'10px'} />
-              </Link>
-            )}
-          </Flex>
-
-          <Box color={'black'}>{item.q}</Box>
-          <Box color={'myGray.600'}>{item.a}</Box>
-          {!isShare && (
-            <Flex alignItems={'center'} fontSize={'sm'} mt={3} gap={4} color={'myGray.500'}>
-              {isPc && (
-                <MyTooltip label={t('core.dataset.data.id')}>
-                  <Flex border={theme.borders.base} py={'1px'} px={3} borderRadius={'3px'}>
-                    # {item.id}
-                  </Flex>
-                </MyTooltip>
-              )}
-              <MyTooltip label={t('core.dataset.Quote Length')}>
-                <Flex alignItems={'center'}>
-                  <MyIcon name="common/text/t" w={'14px'} mr={1} color={'myGray.500'} />
-                  {item.q.length + (item.a?.length || 0)}
-                </Flex>
-              </MyTooltip>
-              {/* {!isShare && item.score && (
-                <MyTooltip label={t('core.dataset.Similarity')}>
-                  <Flex alignItems={'center'}>
-                    <MyIcon name={'kbTest'} w={'12px'} />
-                    <Progress
-                      mx={2}
-                      w={['60px', '90px']}
-                      value={item.score * 100}
-                      size="sm"
-                      borderRadius={'20px'}
-                      colorScheme="myGray"
-                      border={theme.borders.base}
-                    />
-                    <Box>{item.score.toFixed(4)}</Box>
-                  </Flex>
-                </MyTooltip>
-              )} */}
-              <Box flex={1} />
-              {item.id && (
-                <MyTooltip label={t('core.dataset.data.Edit')}>
-                  <Box
-                    bg={'rgba(255,255,255,0.9)'}
-                    alignItems={'center'}
-                    justifyContent={'center'}
-                    boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
-                  >
-                    <MyIcon
-                      name={'edit'}
-                      w={['16px', '18px']}
-                      h={['16px', '18px']}
-                      cursor={'pointer'}
-                      color={'myGray.600'}
-                      _hover={{
-                        color: 'primary.600'
-                      }}
-                      onClick={() => onclickEdit(item)}
-                    />
-                  </Box>
-                </MyTooltip>
-              )}
-            </Flex>
-          )}
+          <QuoteItem quoteItem={item} canViewSource={!isShare} linkToDataset={!isShare} />
        </Box>
      ))}
-      {editInputData && editInputData.id && (
-        <InputDataModal
-          onClose={() => setEditInputData(undefined)}
-          onSuccess={() => {
-            console.log('更新引用成功');
-          }}
-          onDelete={() => {
-            console.log('删除引用成功');
-          }}
-          defaultValue={editInputData}
-          collectionId={editInputData.collectionId}
-        />
-      )}
-      <Loading fixed={false} />
    </>
  );
 });
--- a/projects/app/src/components/ChatBox/ResponseTags.tsx
+++ b/projects/app/src/components/ChatBox/ResponseTags.tsx
@@ -11,8 +11,6 @@ import MyTooltip from '../MyTooltip';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
 import { getSourceNameIcon } from '@fastgpt/global/core/dataset/utils';
 import ChatBoxDivider from '@/components/core/chat/Divider';
-import MyIcon from '../Icon';
-import { getFileAndOpen } from '@/web/core/dataset/utils';
 import { strIsLink } from '@fastgpt/global/common/string/tools';

 const QuoteModal = dynamic(() => import('./QuoteModal'), { ssr: false });
@@ -29,7 +27,14 @@ const ResponseTags = ({
  const theme = useTheme();
  const { isPc } = useSystemStore();
  const { t } = useTranslation();
-  const [quoteModalData, setQuoteModalData] = useState<SearchDataResponseItemType[]>();
+  const [quoteModalData, setQuoteModalData] = useState<{
+    rawSearch: SearchDataResponseItemType[];
+    metadata?: {
+      collectionId: string;
+      sourceId?: string;
+      sourceName: string;
+    };
+  }>();
  const [contextModalData, setContextModalData] = useState<ChatItemType[]>();
  const {
    isOpen: isOpenWholeModal,
@@ -52,8 +57,8 @@ const ResponseTags = ({
      .filter(Boolean) as SearchDataResponseItemType[];
    const sourceList = quoteList.reduce(
      (acc: Record<string, SearchDataResponseItemType[]>, cur) => {
-        if (!acc[cur.sourceName]) {
-          acc[cur.sourceName] = [cur];
+        if (!acc[cur.collectionId]) {
+          acc[cur.collectionId] = [cur];
        }
        return acc;
      },
@@ -70,7 +75,8 @@ const ResponseTags = ({
          sourceName: item.sourceName,
          sourceId: item.sourceId,
          icon: getSourceNameIcon({ sourceId: item.sourceId, sourceName: item.sourceName }),
-          canReadQuote: !isShare || strIsLink(item.sourceId)
+          canReadQuote: !isShare || strIsLink(item.sourceId),
+          collectionId: item.collectionId
        })),
      historyPreview: chatData?.historyPreview,
      runningTime: +responseData.reduce((sum, item) => sum + (item.runningTime || 0), 0).toFixed(2)
@@ -89,88 +95,52 @@ const ResponseTags = ({
          <ChatBoxDivider icon="core/chat/quoteFill" text={t('chat.Quote')} />
          <Flex alignItems={'center'} flexWrap={'wrap'} gap={2}>
            {sourceList.map((item) => (
-              <Flex
-                key={item.sourceName}
-                alignItems={'center'}
-                flexWrap={'wrap'}
-                fontSize={'sm'}
-                border={theme.borders.sm}
-                py={1}
-                px={2}
-                borderRadius={'md'}
-                _hover={{
-                  '.controller': {
-                    display: 'flex'
-                  }
-                }}
-                overflow={'hidden'}
-                position={'relative'}
-              >
-                <Image src={item.icon} alt={''} mr={1} w={'12px'} />
-                <Box className="textEllipsis" flex={'1 0 0'}>
-                  {item.sourceName}
-                </Box>
-
-                <Box
-                  className="controller"
-                  display={'none'}
-                  pr={2}
-                  position={'absolute'}
-                  right={0}
-                  left={0}
-                  justifyContent={'flex-end'}
+              <MyTooltip key={item.sourceName} label={t('core.chat.quote.Read Quote')}>
+                <Flex
                  alignItems={'center'}
-                  h={'100%'}
-                  lineHeight={0}
-                  bg={`linear-gradient(to left, white,white ${
-                    item.sourceId ? '60px' : '30px'
-                  }, rgba(255,255,255,0) 80%)`}
+                  fontSize={'sm'}
+                  border={theme.borders.sm}
+                  py={1}
+                  px={2}
+                  borderRadius={'sm'}
+                  _hover={{
+                    '.controller': {
+                      display: 'flex'
+                    }
+                  }}
+                  overflow={'hidden'}
+                  position={'relative'}
+                  cursor={'pointer'}
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    setQuoteModalData({
+                      rawSearch: quoteList,
+                      metadata: {
+                        collectionId: item.collectionId,
+                        sourceId: item.sourceId,
+                        sourceName: item.sourceName
+                      }
+                    });
+                  }}
                >
-                  <MyTooltip label={t('core.chat.quote.Read Quote')}>
-                    <MyIcon
-                      name="common/viewLight"
-                      w={'14px'}
-                      cursor={'pointer'}
-                      _hover={{
-                        color: 'green.600'
-                      }}
-                      onClick={(e) => {
-                        e.stopPropagation();
-                        setQuoteModalData(quoteList);
-                      }}
-                    />
-                  </MyTooltip>
-                  {item.sourceId && item.canReadQuote && (
-                    <MyTooltip label={t('core.chat.quote.Read Source')}>
-                      <MyIcon
-                        ml={4}
-                        name="common/routePushLight"
-                        w={'14px'}
-                        cursor={'pointer'}
-                        _hover={{ color: 'primary.500' }}
-                        onClick={async (e) => {
-                          e.stopPropagation();
-
-                          if (!item.sourceId) return;
-                          await getFileAndOpen(item.sourceId);
-                        }}
-                      />
-                    </MyTooltip>
-                  )}
-                </Box>
-              </Flex>
+                  <Image src={item.icon} alt={''} mr={1} flexShrink={0} w={'12px'} />
+                  <Box className="textEllipsis3" wordBreak={'break-all'} flex={'1 0 0'}>
+                    {item.sourceName}
+                  </Box>
+                </Flex>
+              </MyTooltip>
            ))}
          </Flex>
        </>
      )}
-      <Flex alignItems={'center'} mt={2} flexWrap={'wrap'}>
+      <Flex alignItems={'center'} mt={3} flexWrap={'wrap'}>
        {quoteList.length > 0 && (
          <MyTooltip label="查看引用">
            <Tag
              colorSchema="blue"
              cursor={'pointer'}
              {...TagStyles}
-              onClick={() => setQuoteModalData(quoteList)}
+              onClick={() => setQuoteModalData({ rawSearch: quoteList })}
            >
              {quoteList.length}条引用
            </Tag>
@@ -213,7 +183,7 @@ const ResponseTags = ({

        {!!quoteModalData && (
          <QuoteModal
-            rawSearch={quoteModalData}
+            {...quoteModalData}
            isShare={isShare}
            onClose={() => setQuoteModalData(undefined)}
          />
--- a/projects/app/src/components/ChatBox/index.tsx
+++ b/projects/app/src/components/ChatBox/index.tsx
@@ -632,14 +632,13 @@ const ChatBox = (
                      leftIcon={<MyIcon name={'chatFill'} w={'16px'} />}
                      size={'sm'}
                      maxW={'100px'}
-                      borderRadius={'lg'}
                      onClick={handleSubmit((data) => {
                        onUpdateVariable?.(data);
                        setVariables(data);
                        setVariableInputFinish(true);
                      })}
                    >
-                      {'开始对话'}
+                      {t('core.chat.Start Chat')}
                    </Button>
                  )}
                </Card>
@@ -952,6 +951,8 @@ const ChatBox = (
          appId={appId}
          chatId={chatId}
          chatItemId={feedbackId}
+          shareId={shareId}
+          outLinkUid={outLinkUid}
          onClose={() => setFeedbackId(undefined)}
          onSuccess={(content: string) => {
            setChatHistory((state) =>
@@ -1142,7 +1143,7 @@ function ChatAvatar({ src, type }: { src?: string; type: 'Human' | 'AI' }) {
      w={['28px', '34px']}
      h={['28px', '34px']}
      p={'2px'}
-      borderRadius={'lg'}
+      borderRadius={'sm'}
      border={theme.borders.base}
      boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
      bg={type === 'Human' ? 'white' : 'primary.50'}
@@ -1208,7 +1209,7 @@ function ChatController({
    cursor: 'pointer',
    p: 1,
    bg: 'white',
-    borderRadius: 'lg',
+    borderRadius: 'md',
    boxShadow: '0 0 5px rgba(0,0,0,0.1)',
    border: theme.borders.base,
    mr: 3
--- a/projects/app/src/components/Markdown/img/Image.tsx
+++ b/projects/app/src/components/Markdown/img/Image.tsx
@@ -9,7 +9,6 @@ import {
  Skeleton,
  useDisclosure
 } from '@chakra-ui/react';
-import MyModal from '@/components/MyModal';

 const MdImage = ({ src }: { src?: string }) => {
  const [isLoading, setIsLoading] = useState(true);
@@ -34,6 +33,7 @@ const MdImage = ({ src }: { src?: string }) => {
        cursor={succeed ? 'pointer' : 'default'}
        loading="eager"
        objectFit={'contain'}
+        referrerPolicy="no-referrer"
        onLoad={() => {
          setIsLoading(false);
          setSucceed(true);
@@ -53,6 +53,7 @@ const MdImage = ({ src }: { src?: string }) => {
            alt={''}
            w={'100%'}
            maxH={'80vh'}
+            referrerPolicy="no-referrer"
            fallbackSrc={'/imgs/errImg.png'}
            fallbackStrategy={'onError'}
            objectFit={'contain'}
--- a/projects/app/src/components/Tag/index.tsx
+++ b/projects/app/src/components/Tag/index.tsx
@@ -39,7 +39,7 @@ const Tag = ({ children, colorSchema = 'blue', ...props }: Props) => {
      px={2}
      lineHeight={1}
      py={1}
-      borderRadius={'md'}
+      borderRadius={'sm'}
      fontSize={'xs'}
      alignItems={'center'}
      {...theme}
--- a/projects/app/src/components/common/Textarea/PromptTextarea/index.tsx
+++ b/projects/app/src/components/common/Textarea/PromptTextarea/index.tsx
@@ -77,7 +77,7 @@ const Editor = React.memo(function Editor({

  return (
    <Box h={'100%'} w={'100%'} position={'relative'}>
-      <Textarea ref={textareaRef} textAlign={'justify'} maxW={'100%'} {...props} />
+      <Textarea ref={textareaRef} maxW={'100%'} {...props} />
      {onOpenModal && (
        <Box
          zIndex={1}
--- a/projects/app/src/components/core/dataset/QuoteItem.tsx
+++ b/projects/app/src/components/core/dataset/QuoteItem.tsx
@@ -0,0 +1,223 @@
+import React, { useMemo, useState } from 'react';
+import { Box, Flex, Link, Progress, useTheme } from '@chakra-ui/react';
+import {
+  type InputDataType,
+  RawSourceText
+} from '@/pages/dataset/detail/components/InputDataModal';
+import type { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type.d';
+import NextLink from 'next/link';
+import MyIcon from '@/components/Icon';
+import { useTranslation } from 'next-i18next';
+import MyTooltip from '@/components/MyTooltip';
+import { useSystemStore } from '@/web/common/system/useSystemStore';
+import dynamic from 'next/dynamic';
+import MyBox from '@/components/common/MyBox';
+import { getDatasetDataItemById } from '@/web/core/dataset/api';
+import { useRequest } from '@/web/common/hooks/useRequest';
+import { DatasetDataItemType } from '@fastgpt/global/core/dataset/type';
+import { SearchScoreTypeEnum, SearchScoreTypeMap } from '@fastgpt/global/core/dataset/constant';
+
+const InputDataModal = dynamic(() => import('@/pages/dataset/detail/components/InputDataModal'));
+
+const QuoteItem = ({
+  quoteItem,
+  canViewSource,
+  linkToDataset
+}: {
+  quoteItem: SearchDataResponseItemType;
+  canViewSource?: boolean;
+  linkToDataset?: boolean;
+}) => {
+  const { t } = useTranslation();
+  const { isPc } = useSystemStore();
+  const theme = useTheme();
+  const [editInputData, setEditInputData] = useState<InputDataType & { collectionId: string }>();
+
+  const { mutate: onclickEdit, isLoading } = useRequest({
+    mutationFn: async (id: string) => {
+      return getDatasetDataItemById(id);
+    },
+    onSuccess(data: DatasetDataItemType) {
+      setEditInputData(data);
+    },
+    errorToast: t('core.dataset.data.get data error')
+  });
+
+  const rank = useMemo(() => {
+    if (quoteItem.score.length === 1) {
+      return quoteItem.score[0].index;
+    }
+    const rrf = quoteItem.score?.find((item) => item.type === SearchScoreTypeEnum.rrf);
+    if (rrf) return rrf.index;
+
+    return 0;
+  }, [quoteItem.score]);
+
+  const score = useMemo(() => {
+    let searchScore: number | undefined = undefined;
+    let text = '';
+
+    const reRankScore = quoteItem.score?.find((item) => item.type === SearchScoreTypeEnum.reRank);
+    if (reRankScore) {
+      searchScore = reRankScore.value;
+      text = t('core.dataset.search.Rerank score');
+    }
+
+    const embScore = quoteItem.score?.find((item) => item.type === SearchScoreTypeEnum.embedding);
+    if (embScore && quoteItem.score.length === 1) {
+      searchScore = embScore.value;
+      text = t('core.dataset.search.Embedding score');
+    }
+
+    const detailScore = (() => {
+      if (Array.isArray(quoteItem.score)) {
+        return quoteItem.score
+          .map(
+            (item) =>
+              `${t('core.dataset.search.Search type')}: ${t(SearchScoreTypeMap[item.type]?.label)}
+${t('core.dataset.search.Rank')}: ${item.index + 1}
+${t('core.dataset.search.Score')}: ${item.value.toFixed(4)}`
+          )
+          .join('\n----\n');
+      }
+      return 'null';
+    })();
+
+    return {
+      value: searchScore,
+      tip: t('core.dataset.Search score tip', {
+        scoreText: text ? `${text}。\n` : text,
+        detailScore
+      })
+    };
+  }, [quoteItem.score, t]);
+
+  return (
+    <>
+      <MyBox
+        isLoading={isLoading}
+        position={'relative'}
+        overflow={'hidden'}
+        fontSize={'sm'}
+        whiteSpace={'pre-wrap'}
+        _hover={{ '& .hover-data': { display: 'flex' } }}
+      >
+        <Flex alignItems={'flex-end'} mb={3}>
+          {rank !== undefined && (
+            <MyTooltip label={t('core.dataset.search.Rank Tip')}>
+              <Box px={2} py={'3px'} mr={3} bg={'myGray.200'} borderRadius={'md'}>
+                # {rank + 1}
+              </Box>
+            </MyTooltip>
+          )}
+
+          <RawSourceText
+            fontWeight={'bold'}
+            color={'black'}
+            sourceName={quoteItem.sourceName}
+            sourceId={quoteItem.sourceId}
+            canView={canViewSource}
+          />
+          <Box flex={1} />
+          {linkToDataset && (
+            <Link
+              as={NextLink}
+              className="hover-data"
+              display={'none'}
+              alignItems={'center'}
+              color={'primary.500'}
+              href={`/dataset/detail?datasetId=${quoteItem.datasetId}&currentTab=dataCard&collectionId=${quoteItem.collectionId}`}
+            >
+              {t('core.dataset.Go Dataset')}
+              <MyIcon name={'common/rightArrowLight'} w={'10px'} />
+            </Link>
+          )}
+        </Flex>
+
+        <Box color={'black'}>{quoteItem.q}</Box>
+        <Box color={'myGray.600'}>{quoteItem.a}</Box>
+        {canViewSource && (
+          <Flex alignItems={'center'} mt={3} gap={4} color={'myGray.500'} fontSize={'xs'}>
+            {isPc && (
+              <Flex border={theme.borders.base} px={3} borderRadius={'xs'} lineHeight={'16px'}>
+                ID: {quoteItem.id}
+              </Flex>
+            )}
+            <MyTooltip label={t('core.dataset.Quote Length')}>
+              <Flex alignItems={'center'}>
+                <MyIcon name="common/text/t" w={'14px'} mr={1} color={'myGray.500'} />
+                {quoteItem.q.length + (quoteItem.a?.length || 0)}
+              </Flex>
+            </MyTooltip>
+            {canViewSource && score && (
+              <MyTooltip label={score.tip}>
+                <Flex alignItems={'center'}>
+                  <MyIcon name={'kbTest'} w={'12px'} />
+                  {score.value ? (
+                    <>
+                      <Progress
+                        mx={2}
+                        w={['60px', '90px']}
+                        value={score?.value * 100}
+                        size="sm"
+                        borderRadius={'20px'}
+                        colorScheme="myGray"
+                        border={theme.borders.base}
+                      />
+                      <Box>{score?.value.toFixed(4)}</Box>
+                    </>
+                  ) : (
+                    <Box ml={1} cursor={'pointer'}>
+                      {t('core.dataset.search.Read score')}
+                    </Box>
+                  )}
+                </Flex>
+              </MyTooltip>
+            )}
+            <Box flex={1} />
+            {quoteItem.id && (
+              <MyTooltip label={t('core.dataset.data.Edit')}>
+                <Box
+                  className="hover-data"
+                  display={['flex', 'none']}
+                  bg={'rgba(255,255,255,0.9)'}
+                  alignItems={'center'}
+                  justifyContent={'center'}
+                  boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
+                >
+                  <MyIcon
+                    name={'edit'}
+                    w={['16px', '18px']}
+                    h={['16px', '18px']}
+                    cursor={'pointer'}
+                    color={'myGray.600'}
+                    _hover={{
+                      color: 'primary.600'
+                    }}
+                    onClick={() => onclickEdit(quoteItem.id)}
+                  />
+                </Box>
+              </MyTooltip>
+            )}
+          </Flex>
+        )}
+      </MyBox>
+
+      {editInputData && editInputData.id && (
+        <InputDataModal
+          onClose={() => setEditInputData(undefined)}
+          onSuccess={() => {
+            console.log('更新引用成功');
+          }}
+          onDelete={() => {
+            console.log('删除引用成功');
+          }}
+          defaultValue={editInputData}
+          collectionId={editInputData.collectionId}
+        />
+      )}
+    </>
+  );
+};
+
+export default React.memo(QuoteItem);
--- a/projects/app/src/components/core/module/Flow/components/modules/VariableEdit.tsx
+++ b/projects/app/src/components/core/module/Flow/components/modules/VariableEdit.tsx
@@ -128,7 +128,7 @@ const VariableEdit = ({
        </Flex>
      </Flex>
      {formatVariables.length > 0 && (
-        <Box mt={2} borderRadius={'lg'} overflow={'hidden'} borderWidth={'1px'} borderBottom="none">
+        <Box mt={2} borderRadius={'md'} overflow={'hidden'} borderWidth={'1px'} borderBottom="none">
          <TableContainer>
            <Table bg={'white'}>
              <Thead>
@@ -266,7 +266,7 @@ const VariableEdit = ({
                        w={'16px'}
                        cursor={'pointer'}
                        p={2}
-                        borderRadius={'lg'}
+                        borderRadius={'md'}
                        _hover={{ bg: 'red.100' }}
                        onClick={() => removeEnums(i)}
                      />
--- a/projects/app/src/components/core/module/Flow/components/render/RenderInput/index.tsx
+++ b/projects/app/src/components/core/module/Flow/components/render/RenderInput/index.tsx
@@ -7,6 +7,7 @@ import dynamic from 'next/dynamic';
 import InputLabel from './Label';
 import type { RenderInputProps } from './type.d';
 import { getFlowStore, type useFlowProviderStoreType } from '../../../FlowProvider';
+import { ModuleInputKeyEnum } from '@fastgpt/global/core/module/constants';

 const RenderList: {
  types: `${FlowNodeInputTypeEnum}`[];
@@ -65,6 +66,7 @@ const RenderList: {
    Component: dynamic(() => import('./templates/AddInputParam'))
  }
 ];
+const UserChatInput = dynamic(() => import('./templates/UserChatInput'));

 type Props = {
  flowInputList: FlowNodeInputItemType[];
@@ -124,18 +126,23 @@ const RenderInput = ({ flowInputList, moduleId, CustomComponent = {} }: Props) =
        })();

        return (
-          input.type !== FlowNodeInputTypeEnum.hidden && (
-            <Box key={input.key} _notLast={{ mb: 7 }} position={'relative'}>
-              {!!input.label && (
-                <InputLabel moduleId={moduleId} inputKey={input.key} mode={mode} {...input} />
-              )}
-              {!!RenderComponent && (
-                <Box mt={2} className={'nodrag'}>
-                  {RenderComponent}
-                </Box>
-              )}
-            </Box>
-          )
+          <Box key={input.key} _notLast={{ mb: 7 }} position={'relative'}>
+            {input.key === ModuleInputKeyEnum.userChatInput && (
+              <UserChatInput inputs={filterInputs} item={input} moduleId={moduleId} />
+            )}
+            {input.type !== FlowNodeInputTypeEnum.hidden && (
+              <>
+                {!!input.label && (
+                  <InputLabel moduleId={moduleId} inputKey={input.key} mode={mode} {...input} />
+                )}
+                {!!RenderComponent && (
+                  <Box mt={2} className={'nodrag'}>
+                    {RenderComponent}
+                  </Box>
+                )}
+              </>
+            )}
+          </Box>
        );
      })}
    </>
--- a/projects/app/src/components/core/module/Flow/components/render/RenderInput/templates/UserChatInput.tsx
+++ b/projects/app/src/components/core/module/Flow/components/render/RenderInput/templates/UserChatInput.tsx
@@ -0,0 +1,41 @@
+import React from 'react';
+import type { RenderInputProps } from '../type';
+import { Box, Flex } from '@chakra-ui/react';
+import { useTranslation } from 'next-i18next';
+import TargetHandle from '../../TargetHandle';
+import SourceHandle from '../../SourceHandle';
+import { ModuleInputKeyEnum, ModuleOutputKeyEnum } from '@fastgpt/global/core/module/constants';
+
+const UserChatInput = ({ item }: RenderInputProps) => {
+  const { t } = useTranslation();
+
+  return (
+    <Flex
+      className="nodrag"
+      cursor={'default'}
+      alignItems={'center'}
+      justifyContent={'space-between'}
+      position={'relative'}
+    >
+      <Box position={'relative'}>
+        <TargetHandle handleKey={ModuleInputKeyEnum.userChatInput} valueType={item.valueType} />
+        {t('core.module.input.label.user question')}
+        <Box
+          position={'absolute'}
+          top={'-2px'}
+          right={'-8px'}
+          color={'red.500'}
+          fontWeight={'bold'}
+        >
+          *
+        </Box>
+      </Box>
+      <Box position={'relative'}>
+        {t('core.module.input.label.user question')}
+        <SourceHandle handleKey={ModuleOutputKeyEnum.userChatInput} valueType={item.valueType} />
+      </Box>
+    </Flex>
+  );
+};
+
+export default React.memo(UserChatInput);
--- a/projects/app/src/global/core/dataset/api.d.ts
+++ b/projects/app/src/global/core/dataset/api.d.ts
@@ -59,8 +59,13 @@ export type SearchTestProps = {
  limit?: number;
  searchMode?: `${DatasetSearchModeEnum}`;
  usingReRank: boolean;
+  similarity?: number;
 };
 export type SearchTestResponse = {
  list: SearchDataResponseItemType[];
  duration: string;
+  limit: number;
+  searchMode: `${DatasetSearchModeEnum}`;
+  usingReRank: boolean;
+  similarity: number;
 };
--- a/projects/app/src/global/core/prompt/agent.ts
+++ b/projects/app/src/global/core/prompt/agent.ts
@@ -36,11 +36,7 @@ export const Prompt_ExtractJson = `你可以从 <对话记录></对话记录>
 </对话记录>
 `;

-export const Prompt_CQJson = `我会给你几个问题类型，请参考额外的背景知识（可能为空）和对话内容，判断我本次的问题类型，并返回对应类型的 ID，格式为 JSON 字符串:
-"""
-'{"问题类型":"类型的 ID"}'
-"""
-
+export const Prompt_CQJson = `我会给你几个问题类型，请参考背景知识（可能为空）和对话记录，判断我“本次问题”的类型，并返回一个问题“类型ID”:
 <问题类型>
 {{typeList}}
 </问题类型>
@@ -49,9 +45,13 @@ export const Prompt_CQJson = `我会给你几个问题类型，请参考额外
 {{systemPrompt}}
 </背景知识>

-<对话内容>
-{{text}}
-</对话内容>
+<对话记录>
+{{history}}
+</对话记录>
+
+Human："{{question}}"
+
+类型ID=
 `;

 export const Prompt_QuestionGuide = `我不太清楚问你什么问题，请帮我生成 3 个问题，引导我继续提问。问题的长度应小于20个字符，按 JSON 格式返回: ["问题1", "问题2", "问题3"]`;
--- a/projects/app/src/pages/api/core/dataset/searchTest.ts
+++ b/projects/app/src/pages/api/core/dataset/searchTest.ts
@@ -14,7 +14,14 @@ import { searchQueryExtension } from '@fastgpt/service/core/ai/functions/queryEx
 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
    await connectToDatabase();
-    const { datasetId, text, limit = 20, searchMode, usingReRank } = req.body as SearchTestProps;
+    const {
+      datasetId,
+      text,
+      limit = 1500,
+      similarity,
+      searchMode,
+      usingReRank
+    } = req.body as SearchTestProps;

    if (!datasetId || !text) {
      throw new Error('缺少参数');
@@ -40,11 +47,12 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    //   model: global.chatModels[0].model
    // });

-    const { searchRes, tokens } = await searchDatasetData({
+    const { searchRes, tokens, ...result } = await searchDatasetData({
      rawQuery: text,
      queries: [text],
      model: dataset.vectorModel,
-      limit: Math.min(limit * 800, 30000),
+      limit: Math.min(limit, 20000),
+      similarity,
      datasetIds: [datasetId],
      searchMode,
      usingReRank
@@ -68,7 +76,8 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
    jsonRes<SearchTestResponse>(res, {
      data: {
        list: searchRes,
-        duration: `${((Date.now() - start) / 1000).toFixed(3)}s`
+        duration: `${((Date.now() - start) / 1000).toFixed(3)}s`,
+        ...result
      }
    });
  } catch (err) {
--- a/projects/app/src/pages/app/detail/components/InfoModal.tsx
+++ b/projects/app/src/pages/app/detail/components/InfoModal.tsx
@@ -133,7 +133,7 @@ const InfoModal = ({
            w={['26px', '34px']}
            h={['26px', '34px']}
            cursor={'pointer'}
-            borderRadius={'lg'}
+            borderRadius={'md'}
            mr={4}
            title={'点击切换头像'}
            onClick={() => onOpenSelectFile()}
--- a/projects/app/src/pages/app/detail/components/Logs.tsx
+++ b/projects/app/src/pages/app/detail/components/Logs.tsx
@@ -128,7 +128,7 @@ const Logs = ({ appId }: { appId: string }) => {
                      py={1}
                      alignItems={'center'}
                      justifyContent={'center'}
-                      borderRadius={'lg'}
+                      borderRadius={'md'}
                      fontWeight={'bold'}
                    >
                      <MyIcon
@@ -148,7 +148,7 @@ const Logs = ({ appId }: { appId: string }) => {
                      py={1}
                      alignItems={'center'}
                      justifyContent={'center'}
-                      borderRadius={'lg'}
+                      borderRadius={'md'}
                      fontWeight={'bold'}
                    >
                      <MyIcon
--- a/projects/app/src/pages/app/detail/components/OutLink/index.tsx
+++ b/projects/app/src/pages/app/detail/components/OutLink/index.tsx
@@ -20,7 +20,7 @@ const OutLink = ({ appId }: { appId: string }) => {
      </Box>
      <Box pb={[5, 7]} px={[4, 8]} borderBottom={theme.borders.base}>
        <MyRadio
-          gridTemplateColumns={['repeat(1,1fr)', 'repeat(auto-fill, minmax(0, 360px))']}
+          gridTemplateColumns={['repeat(1,1fr)', 'repeat(auto-fill, minmax(0, 400px))']}
          iconSize={'20px'}
          list={[
            {
--- a/projects/app/src/pages/app/detail/components/SimpleEdit/index.tsx
+++ b/projects/app/src/pages/app/detail/components/SimpleEdit/index.tsx
@@ -597,7 +597,7 @@ function Settings({ appId }: { appId: string }) {
        <Box
          borderWidth={'1px'}
          borderColor={'primary.1'}
-          borderRadius={'lg'}
+          borderRadius={'md'}
          mt={2}
          px={5}
          py={4}
--- a/projects/app/src/pages/app/detail/index.tsx
+++ b/projects/app/src/pages/app/detail/index.tsx
@@ -108,7 +108,7 @@ const AppDetail = ({ currentTab }: { currentTab: `${TabEnum}` }) => {
            borderRight={theme.borders.base}
          >
            <Flex mb={4} alignItems={'center'}>
-              <Avatar src={appDetail.avatar} w={'34px'} borderRadius={'lg'} />
+              <Avatar src={appDetail.avatar} w={'34px'} borderRadius={'md'} />
              <Box ml={2} fontWeight={'bold'}>
                {appDetail.name}
              </Box>
--- a/projects/app/src/pages/app/list/index.tsx
+++ b/projects/app/src/pages/app/list/index.tsx
@@ -99,7 +99,7 @@ const MyApps = () => {
              borderWidth={'1.5px'}
              borderColor={'borderColor.low'}
              bg={'white'}
-              borderRadius={'lg'}
+              borderRadius={'md'}
              userSelect={'none'}
              position={'relative'}
              display={'flex'}
--- a/projects/app/src/pages/chat/components/ChatHistorySlider.tsx
+++ b/projects/app/src/pages/chat/components/ChatHistorySlider.tsx
@@ -170,7 +170,7 @@ const ChatHistorySlider = ({
            variant={'whiteDanger'}
            size={'mdSquare'}
            aria-label={''}
-            borderRadius={'xl'}
+            borderRadius={'50%'}
            onClick={openConfirm(onClearHistory)}
          >
            <MyIcon name={'clear'} w={'16px'} />
@@ -191,7 +191,7 @@ const ChatHistorySlider = ({
                px={4}
                cursor={'pointer'}
                userSelect={'none'}
-                borderRadius={'lg'}
+                borderRadius={'md'}
                mb={2}
                _hover={{
                  bg: 'myGray.100',
@@ -287,7 +287,7 @@ const ChatHistorySlider = ({
                py={2}
                px={3}
                mb={3}
-                borderRadius={'lg'}
+                borderRadius={'md'}
                alignItems={'center'}
                {...(item._id === appId
                  ? {
--- a/projects/app/src/pages/chat/components/SliderApps.tsx
+++ b/projects/app/src/pages/chat/components/SliderApps.tsx
@@ -46,7 +46,7 @@ const SliderApps = ({ appId }: { appId: string }) => {
            px={3}
            mb={3}
            cursor={'pointer'}
-            borderRadius={'lg'}
+            borderRadius={'md'}
            alignItems={'center'}
            {...(item._id === appId
              ? {
--- a/projects/app/src/pages/dataset/detail/components/Import/FileSelect.tsx
+++ b/projects/app/src/pages/dataset/detail/components/Import/FileSelect.tsx
@@ -380,7 +380,7 @@ const FileSelect = ({
      textAlign={'center'}
      bg={'myWhite.400'}
      p={5}
-      borderRadius={'lg'}
+      borderRadius={'md'}
      border={'1px dashed'}
      borderColor={'myGray.300'}
      w={'100%'}
--- a/projects/app/src/pages/dataset/detail/components/Test.tsx
+++ b/projects/app/src/pages/dataset/detail/components/Test.tsx
@@ -1,13 +1,26 @@
 import React, { useEffect, useMemo, useState } from 'react';
-import { Box, Textarea, Button, Flex, useTheme, Grid, useDisclosure } from '@chakra-ui/react';
+import {
+  Box,
+  Textarea,
+  Button,
+  Flex,
+  useTheme,
+  Grid,
+  useDisclosure,
+  Table,
+  Thead,
+  Tbody,
+  Tr,
+  Th,
+  Td,
+  TableContainer
+} from '@chakra-ui/react';
 import { useDatasetStore } from '@/web/core/dataset/store/dataset';
 import { useSearchTestStore, SearchTestStoreItemType } from '@/web/core/dataset/store/searchTest';
-import { getDatasetDataItemById, postSearchText } from '@/web/core/dataset/api';
+import { postSearchText } from '@/web/core/dataset/api';
 import MyIcon from '@/components/Icon';
 import { useRequest } from '@/web/common/hooks/useRequest';
 import { formatTimeToChatTime } from '@/utils/tools';
-import InputDataModal, { RawSourceText, type InputDataType } from './InputDataModal';
-import { useSystemStore } from '@/web/common/system/useSystemStore';
 import { getErrText } from '@fastgpt/global/common/error/utils';
 import { useToast } from '@/web/common/hooks/useToast';
 import { customAlphabet } from 'nanoid';
@@ -17,26 +30,55 @@ import { useTranslation } from 'next-i18next';
 import { SearchTestResponse } from '@/global/core/dataset/api';
 import { DatasetSearchModeEnum, DatasetSearchModeMap } from '@fastgpt/global/core/dataset/constant';
 import dynamic from 'next/dynamic';
+import { useForm } from 'react-hook-form';
+import MySelect from '@/components/Select';
+import { useSelectFile } from '@/web/common/file/hooks/useSelectFile';
+import { fileDownload, readCsvContent } from '@/web/common/file/utils';
+import { delay } from '@fastgpt/global/common/system/utils';
+import QuoteItem from '@/components/core/dataset/QuoteItem';
+
 const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);

 const DatasetParamsModal = dynamic(() => import('@/components/core/module/DatasetParamsModal'));

+type FormType = {
+  inputText: string;
+  searchParams: {
+    searchMode: `${DatasetSearchModeEnum}`;
+    usingReRank: boolean;
+    limit: number;
+    similarity: number;
+  };
+};
+
 const Test = ({ datasetId }: { datasetId: string }) => {
  const { t } = useTranslation();
  const theme = useTheme();
  const { toast } = useToast();
-  const { setLoading } = useSystemStore();
  const { datasetDetail } = useDatasetStore();
-  const { datasetTestList, pushDatasetTestItem, delDatasetTestItemById, updateDatasetItemById } =
-    useSearchTestStore();
-  const [inputText, setInputText] = useState('');
+  const { pushDatasetTestItem } = useSearchTestStore();
+  const [inputType, setInputType] = useState<'text' | 'file'>('text');
  const [datasetTestItem, setDatasetTestItem] = useState<SearchTestStoreItemType>();
-  const [editInputData, setEditInputData] = useState<InputDataType & { collectionId: string }>();
-  const [searchMode, setSearchMode] = useState<`${DatasetSearchModeEnum}`>(
-    DatasetSearchModeEnum.embedding
-  );
-  const [usingReRank, setUsingReRank] = useState(false);
-  const searchModeData = DatasetSearchModeMap[searchMode];
+  const [refresh, setRefresh] = useState(false);
+  const { File, onOpen } = useSelectFile({
+    fileType: '.csv',
+    multiple: false
+  });
+  const [selectFile, setSelectFile] = useState<File>();
+
+  const { getValues, setValue, register, handleSubmit } = useForm<FormType>({
+    defaultValues: {
+      inputText: '',
+      searchParams: {
+        searchMode: DatasetSearchModeEnum.embedding,
+        usingReRank: false,
+        limit: 5000,
+        similarity: 0
+      }
+    }
+  });
+
+  const searchModeData = DatasetSearchModeMap[getValues('searchParams.searchMode')];

  const {
    isOpen: isOpenSelectMode,
@@ -44,14 +86,9 @@ const Test = ({ datasetId }: { datasetId: string }) => {
    onClose: onCloseSelectMode
  } = useDisclosure();

-  const testHistories = useMemo(
-    () => datasetTestList.filter((item) => item.datasetId === datasetId),
-    [datasetId, datasetTestList]
-  );
-
-  const { mutate, isLoading } = useRequest({
-    mutationFn: () =>
-      postSearchText({ datasetId, text: inputText.trim(), searchMode, usingReRank, limit: 20 }),
+  const { mutate: onTextTest, isLoading: textTestIsLoading } = useRequest({
+    mutationFn: ({ inputText, searchParams }: FormType) =>
+      postSearchText({ datasetId, text: inputText.trim(), ...searchParams }),
    onSuccess(res: SearchTestResponse) {
      if (!res || res.list.length === 0) {
        return toast({
@@ -62,11 +99,14 @@ const Test = ({ datasetId }: { datasetId: string }) => {
      const testItem: SearchTestStoreItemType = {
        id: nanoid(),
        datasetId,
-        text: inputText.trim(),
+        text: getValues('inputText').trim(),
        time: new Date(),
        results: res.list,
        duration: res.duration,
-        searchMode
+        searchMode: res.searchMode,
+        usingReRank: res.usingReRank,
+        limit: res.limit,
+        similarity: res.similarity
      };
      pushDatasetTestItem(testItem);
      setDatasetTestItem(testItem);
@@ -78,6 +118,40 @@ const Test = ({ datasetId }: { datasetId: string }) => {
      });
    }
  });
+  const { mutate: onFileTest, isLoading: fileTestIsLoading } = useRequest({
+    mutationFn: async ({ searchParams }: FormType) => {
+      if (!selectFile) return Promise.reject('File is not selected');
+      const { data } = await readCsvContent(selectFile);
+      const testList = data.slice(0, 100);
+      const results: SearchTestResponse[] = [];
+
+      for await (const item of testList) {
+        try {
+          const result = await postSearchText({ datasetId, text: item[0].trim(), ...searchParams });
+          results.push(result);
+        } catch (error) {
+          await delay(500);
+        }
+      }
+
+      return results;
+    },
+    onSuccess(res: SearchTestResponse[]) {
+      console.log(res);
+    },
+    onError(err) {
+      toast({
+        title: getErrText(err),
+        status: 'error'
+      });
+    }
+  });
+
+  const onSelectFile = async (files: File[]) => {
+    const file = files[0];
+    if (!file) return;
+    setSelectFile(file);
+  };

  useEffect(() => {
    setDatasetTestItem(undefined);
@@ -85,7 +159,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {

  return (
    <Box h={'100%'} display={['block', 'flex']}>
-      {/* input  */}
+      {/* left  */}
      <Box
        h={['auto', '100%']}
        display={['block', 'flex']}
@@ -96,11 +170,39 @@ const Test = ({ datasetId }: { datasetId: string }) => {
        borderRight={['none', theme.borders.base]}
      >
        <Box border={'2px solid'} borderColor={'primary.500'} p={3} mx={4} borderRadius={'md'}>
-          <Flex alignItems={'center'}>
-            <Box fontSize={'sm'} fontWeight={'bold'} flex={1}>
-              <MyIcon mr={2} name={'text'} w={'18px'} h={'18px'} color={'primary.600'} />
-              {t('core.dataset.test.Test Text')}
-            </Box>
+          {/* header */}
+          <Flex alignItems={'center'} justifyContent={'space-between'}>
+            <MySelect
+              size={'sm'}
+              w={'150px'}
+              list={[
+                {
+                  label: (
+                    <Flex alignItems={'center'}>
+                      <MyIcon mr={2} name={'text'} w={'14px'} color={'primary.600'} />
+                      <Box fontSize={'sm'} fontWeight={'bold'} flex={1}>
+                        {t('core.dataset.test.Test Text')}
+                      </Box>
+                    </Flex>
+                  ),
+                  value: 'text'
+                }
+                // {
+                //   label: (
+                //     <Flex alignItems={'center'}>
+                //       <MyIcon mr={2} name={'csvImport'} w={'14px'} color={'primary.600'} />
+                //       <Box fontSize={'sm'} fontWeight={'bold'} flex={1}>
+                //         {t('core.dataset.test.Batch test')}
+                //       </Box>
+                //     </Flex>
+                //   ),
+                //   value: 'file'
+                // }
+              ]}
+              value={inputType}
+              onchange={(e) => setInputType(e)}
+            />
+
            <Button
              variant={'whitePrimary'}
              leftIcon={<MyIcon name={searchModeData.icon as any} w={'14px'} />}
@@ -110,257 +212,293 @@ const Test = ({ datasetId }: { datasetId: string }) => {
              {t(searchModeData.title)}
            </Button>
          </Flex>
-          <Textarea
-            rows={6}
-            resize={'none'}
-            variant={'unstyled'}
-            maxLength={datasetDetail.vectorModel.maxToken}
-            placeholder={t('core.dataset.test.Test Text Placeholder')}
-            defaultValue={inputText}
-            onBlur={(e) => setInputText(e.target.value)}
-          />
-          <Flex alignItems={'center'} justifyContent={'flex-end'}>
-            <Box mx={3} color={'myGray.500'}>
-              {inputText.length}
-            </Box>
-            <Button isDisabled={inputText === ''} isLoading={isLoading} onClick={mutate}>
+
+          <Box h={'180px'}>
+            {inputType === 'text' && (
+              <Textarea
+                h={'100%'}
+                resize={'none'}
+                variant={'unstyled'}
+                maxLength={datasetDetail.vectorModel.maxToken}
+                placeholder={t('core.dataset.test.Test Text Placeholder')}
+                {...register('inputText', {
+                  required: true
+                })}
+              />
+            )}
+            {inputType === 'file' && (
+              <Box pt={5}>
+                <Flex
+                  p={3}
+                  borderRadius={'md'}
+                  borderWidth={'1px'}
+                  borderColor={'borderColor.base'}
+                  borderStyle={'dashed'}
+                  bg={'white'}
+                  cursor={'pointer'}
+                  justifyContent={'center'}
+                  _hover={{
+                    bg: 'primary.100',
+                    borderColor: 'primary.500',
+                    borderStyle: 'solid'
+                  }}
+                  onClick={onOpen}
+                >
+                  <MyIcon mr={2} name={'csvImport'} w={'24px'} />
+                  <Box>
+                    {selectFile ? selectFile.name : t('core.dataset.test.Batch test Placeholder')}
+                  </Box>
+                </Flex>
+                <Box mt={3} fontSize={'sm'}>
+                  读取 CSV 文件第一列进行批量测试，单次最多支持 100 组数据。
+                  <Box
+                    as={'span'}
+                    color={'primary.600'}
+                    cursor={'pointer'}
+                    onClick={() => {
+                      fileDownload({
+                        text: `"问题"\n"问题1"\n"问题2"\n"问题3"`,
+                        type: 'text/csv',
+                        filename: 'Test Template'
+                      });
+                    }}
+                  >
+                    点击下载批量测试模板
+                  </Box>
+                </Box>
+              </Box>
+            )}
+          </Box>
+
+          <Flex justifyContent={'flex-end'}>
+            <Button
+              size={'sm'}
+              isLoading={textTestIsLoading || fileTestIsLoading}
+              isDisabled={inputType === 'file' && !selectFile}
+              onClick={() => {
+                if (inputType === 'text') {
+                  handleSubmit((data) => onTextTest(data))();
+                } else {
+                  handleSubmit((data) => onFileTest(data))();
+                }
+              }}
+            >
              {t('core.dataset.test.Test')}
            </Button>
          </Flex>
        </Box>
        <Box mt={5} flex={'1 0 0'} px={4} overflow={'overlay'} display={['none', 'block']}>
-          <Flex alignItems={'center'} color={'myGray.600'}>
-            <MyIcon mr={2} name={'history'} w={'16px'} h={'16px'} />
-            <Box fontSize={'2xl'}>{t('core.dataset.test.test history')}</Box>
-          </Flex>
-          <Box mt={2}>
-            <Flex py={2} fontWeight={'bold'} borderBottom={theme.borders.sm}>
-              <Box w={'80px'}>{t('core.dataset.search.search mode')}</Box>
-              <Box flex={1}>{t('core.dataset.test.Test Text')}</Box>
-              <Box w={'70px'}>{t('common.Time')}</Box>
-              <Box w={'14px'}></Box>
-            </Flex>
-            {testHistories.map((item) => (
-              <Flex
-                key={item.id}
-                p={1}
-                alignItems={'center'}
-                borderBottom={theme.borders.base}
-                _hover={{
-                  bg: '#f4f4f4',
-                  '& .delete': {
-                    display: 'block'
-                  }
-                }}
-                cursor={'pointer'}
-                fontSize={'sm'}
-                onClick={() => setDatasetTestItem(item)}
-              >
-                <Box w={'80px'}>
-                  {DatasetSearchModeMap[item.searchMode] ? (
-                    <Flex alignItems={'center'}>
-                      <MyIcon
-                        name={DatasetSearchModeMap[item.searchMode].icon as any}
-                        w={'12px'}
-                        mr={'1px'}
-                      />
-                      {t(DatasetSearchModeMap[item.searchMode].title)}
-                    </Flex>
-                  ) : (
-                    '-'
-                  )}
-                </Box>
-                <Box flex={1} mr={2}>
-                  {item.text}
-                </Box>
-                <Box w={'70px'}>{formatTimeToChatTime(item.time)}</Box>
-                <MyTooltip label={t('core.dataset.test.delete test history')}>
-                  <Box w={'14px'} h={'14px'}>
-                    <MyIcon
-                      className="delete"
-                      name={'delete'}
-                      w={'14px'}
-                      display={'none'}
-                      _hover={{ color: 'red.600' }}
-                      onClick={(e) => {
-                        e.stopPropagation();
-                        delDatasetTestItemById(item.id);
-                        datasetTestItem?.id === item.id && setDatasetTestItem(undefined);
-                      }}
-                    />
-                  </Box>
-                </MyTooltip>
-              </Flex>
-            ))}
-          </Box>
+          <TestHistories
+            datasetId={datasetId}
+            datasetTestItem={datasetTestItem}
+            setDatasetTestItem={setDatasetTestItem}
+          />
        </Box>
      </Box>
      {/* result show */}
      <Box p={4} h={['auto', '100%']} overflow={'overlay'} flex={'1 0 0'}>
-        {!datasetTestItem?.results || datasetTestItem.results.length === 0 ? (
-          <Flex
-            mt={[10, 0]}
-            h={'100%'}
-            flexDirection={'column'}
-            alignItems={'center'}
-            justifyContent={'center'}
-          >
-            <MyIcon name={'empty'} color={'transparent'} w={'54px'} />
-            <Box mt={3} color={'myGray.600'}>
-              {t('core.dataset.test.test result placeholder')}
-            </Box>
-          </Flex>
-        ) : (
-          <>
-            <Flex alignItems={'center'}>
-              <Box fontSize={'3xl'} color={'myGray.600'}>
-                {t('core.dataset.test.Test Result')}
-              </Box>
-              <MyTooltip label={t('core.dataset.test.test result tip')} forceShow>
-                <QuestionOutlineIcon
-                  mx={2}
-                  color={'myGray.600'}
-                  cursor={'pointer'}
-                  fontSize={'lg'}
-                />
-              </MyTooltip>
-              <Box>({datasetTestItem.duration})</Box>
-            </Flex>
-            <Grid
-              mt={1}
-              gridTemplateColumns={[
-                'repeat(1,1fr)',
-                'repeat(1,1fr)',
-                'repeat(1,1fr)',
-                'repeat(1,1fr)',
-                'repeat(2,1fr)'
-              ]}
-              gridGap={4}
-            >
-              {datasetTestItem?.results.map((item, index) => (
-                <Box
-                  key={item.id}
-                  pb={2}
-                  borderRadius={'lg'}
-                  border={theme.borders.base}
-                  _notLast={{ mb: 2 }}
-                  cursor={'pointer'}
-                  title={t('common.Edit')}
-                  onClick={async () => {
-                    try {
-                      setLoading(true);
-                      const data = await getDatasetDataItemById(item.id);
-
-                      if (!data) {
-                        throw new Error(t('core.dataset.data.data is deleted'));
-                      }
-
-                      setEditInputData({
-                        id: data.id,
-                        collectionId: data.collectionId,
-                        q: data.q,
-                        a: data.a,
-                        indexes: data.indexes
-                      });
-                    } catch (err) {
-                      toast({
-                        status: 'warning',
-                        title: getErrText(err)
-                      });
-                    }
-                    setLoading(false);
-                  }}
-                >
-                  <Flex p={3} alignItems={'center'} color={'myGray.500'}>
-                    <Box
-                      border={theme.borders.base}
-                      px={2}
-                      fontSize={'sm'}
-                      mr={3}
-                      borderRadius={'md'}
-                    >
-                      # {index + 1}
-                    </Box>
-                    <RawSourceText
-                      fontWeight={'bold'}
-                      color={'black'}
-                      sourceName={item.sourceName}
-                      sourceId={item.sourceId}
-                      canView
-                    />
-                    {/* <MyIcon name={'kbTest'} w={'14px'} />
-                    <Progress
-                      mx={2}
-                      flex={'1 0 0'}
-                      value={item.score * 100}
-                      size="sm"
-                      borderRadius={'20px'}
-                      colorScheme="gray"
-                    />
-                    <Box>{item.score.toFixed(4)}</Box> */}
-                  </Flex>
-                  <Box px={2} fontSize={'xs'} color={'myGray.600'} wordBreak={'break-word'}>
-                    <Box>{item.q}</Box>
-                    <Box>{item.a}</Box>
-                  </Box>
-                </Box>
-              ))}
-            </Grid>
-          </>
-        )}
+        <TestResults datasetTestItem={datasetTestItem} />
      </Box>

-      {!!editInputData && (
-        <InputDataModal
-          collectionId={editInputData.collectionId}
-          defaultValue={editInputData}
-          onClose={() => setEditInputData(undefined)}
-          onSuccess={(data) => {
-            if (datasetTestItem && editInputData.id) {
-              const newTestItem: SearchTestStoreItemType = {
-                ...datasetTestItem,
-                results: datasetTestItem.results.map((item) =>
-                  item.id === editInputData.id
-                    ? {
-                        ...item,
-                        q: data.q || '',
-                        a: data.a || ''
-                      }
-                    : item
-                )
-              };
-              updateDatasetItemById(newTestItem);
-              setDatasetTestItem(newTestItem);
-            }
-
-            setEditInputData(undefined);
-          }}
-          onDelete={() => {
-            if (datasetTestItem && editInputData.id) {
-              const newTestItem = {
-                ...datasetTestItem,
-                results: datasetTestItem.results.filter((item) => item.id !== editInputData.id)
-              };
-              updateDatasetItemById(newTestItem);
-              setDatasetTestItem(newTestItem);
-            }
-            setEditInputData(undefined);
-          }}
-        />
-      )}
      {isOpenSelectMode && (
        <DatasetParamsModal
-          searchMode={searchMode}
-          usingReRank={usingReRank}
+          {...getValues('searchParams')}
+          maxTokens={20000}
          onClose={onCloseSelectMode}
          onSuccess={(e) => {
-            setSearchMode(e.searchMode);
-            e.usingReRank !== undefined && setUsingReRank(e.usingReRank);
+            setValue('searchParams', {
+              ...getValues('searchParams'),
+              ...e
+            });
+            setRefresh((state) => !state);
          }}
        />
      )}
+      <File onSelect={onSelectFile} />
    </Box>
  );
 };

-export default Test;
+export default React.memo(Test);
+
+const TestHistories = React.memo(function TestHistories({
+  datasetId,
+  datasetTestItem,
+  setDatasetTestItem
+}: {
+  datasetId: string;
+  datasetTestItem?: SearchTestStoreItemType;
+  setDatasetTestItem: React.Dispatch<React.SetStateAction<SearchTestStoreItemType | undefined>>;
+}) {
+  const { t } = useTranslation();
+  const theme = useTheme();
+  const { datasetTestList, delDatasetTestItemById } = useSearchTestStore();
+
+  const testHistories = useMemo(
+    () => datasetTestList.filter((item) => item.datasetId === datasetId),
+    [datasetId, datasetTestList]
+  );
+  return (
+    <>
+      <Flex alignItems={'center'} color={'myGray.600'}>
+        <MyIcon mr={2} name={'history'} w={'16px'} h={'16px'} />
+        <Box fontSize={'2xl'}>{t('core.dataset.test.test history')}</Box>
+      </Flex>
+      <Box mt={2}>
+        <Flex py={2} fontWeight={'bold'} borderBottom={theme.borders.sm}>
+          <Box flex={'0 0 80px'}>{t('core.dataset.search.search mode')}</Box>
+          <Box flex={1}>{t('core.dataset.test.Test Text')}</Box>
+          <Box flex={'0 0 70px'}>{t('common.Time')}</Box>
+          <Box w={'14px'}></Box>
+        </Flex>
+        {testHistories.map((item) => (
+          <Flex
+            key={item.id}
+            p={1}
+            alignItems={'center'}
+            borderBottom={theme.borders.base}
+            _hover={{
+              bg: '#f4f4f4',
+              '& .delete': {
+                display: 'block'
+              }
+            }}
+            cursor={'pointer'}
+            fontSize={'sm'}
+            onClick={() => setDatasetTestItem(item)}
+          >
+            <Box flex={'0 0 80px'}>
+              {DatasetSearchModeMap[item.searchMode] ? (
+                <Flex alignItems={'center'}>
+                  <MyIcon
+                    name={DatasetSearchModeMap[item.searchMode].icon as any}
+                    w={'12px'}
+                    mr={'1px'}
+                  />
+                  {t(DatasetSearchModeMap[item.searchMode].title)}
+                </Flex>
+              ) : (
+                '-'
+              )}
+            </Box>
+            <Box flex={1} mr={2} wordBreak={'break-all'}>
+              {item.text}
+            </Box>
+            <Box flex={'0 0 70px'}>{formatTimeToChatTime(item.time)}</Box>
+            <MyTooltip label={t('core.dataset.test.delete test history')}>
+              <Box w={'14px'} h={'14px'}>
+                <MyIcon
+                  className="delete"
+                  name={'delete'}
+                  w={'14px'}
+                  display={'none'}
+                  _hover={{ color: 'red.600' }}
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    delDatasetTestItemById(item.id);
+                    datasetTestItem?.id === item.id && setDatasetTestItem(undefined);
+                  }}
+                />
+              </Box>
+            </MyTooltip>
+          </Flex>
+        ))}
+      </Box>
+    </>
+  );
+});
+
+const TestResults = React.memo(function TestResults({
+  datasetTestItem
+}: {
+  datasetTestItem?: SearchTestStoreItemType;
+}) {
+  const { t } = useTranslation();
+  const theme = useTheme();
+
+  return (
+    <>
+      {!datasetTestItem?.results || datasetTestItem.results.length === 0 ? (
+        <Flex
+          mt={[10, 0]}
+          h={'100%'}
+          flexDirection={'column'}
+          alignItems={'center'}
+          justifyContent={'center'}
+        >
+          <MyIcon name={'empty'} color={'transparent'} w={'54px'} />
+          <Box mt={3} color={'myGray.600'}>
+            {t('core.dataset.test.test result placeholder')}
+          </Box>
+        </Flex>
+      ) : (
+        <>
+          <Box fontSize={'xl'} color={'myGray.600'}>
+            {t('core.dataset.test.Test params')}
+          </Box>
+          <TableContainer mb={3} bg={'myGray.150'} borderRadius={'md'}>
+            <Table>
+              <Thead>
+                <Tr>
+                  <Th>{t('core.dataset.search.search mode')}</Th>
+                  <Th>{t('core.dataset.search.ReRank')}</Th>
+                  <Th>{t('core.dataset.search.Max Tokens')}</Th>
+                  <Th>{t('core.dataset.search.Min Similarity')}</Th>
+                </Tr>
+              </Thead>
+              <Tbody>
+                <Tr>
+                  <Td>
+                    <Flex alignItems={'center'}>
+                      <MyIcon
+                        name={DatasetSearchModeMap[datasetTestItem.searchMode]?.icon as any}
+                        w={'12px'}
+                        mr={'1px'}
+                      />
+                      {t(DatasetSearchModeMap[datasetTestItem.searchMode]?.title)}
+                    </Flex>
+                  </Td>
+                  <Td>{datasetTestItem.usingReRank ? '✅' : '❌'}</Td>
+                  <Td>{datasetTestItem.limit}</Td>
+                  <Td>{datasetTestItem.similarity}</Td>
+                </Tr>
+              </Tbody>
+            </Table>
+          </TableContainer>
+          <Flex alignItems={'center'}>
+            <Box fontSize={'xl'} color={'myGray.600'}>
+              {t('core.dataset.test.Test Result')}
+            </Box>
+            <MyTooltip label={t('core.dataset.test.test result tip')} forceShow>
+              <QuestionOutlineIcon mx={2} color={'myGray.600'} cursor={'pointer'} fontSize={'lg'} />
+            </MyTooltip>
+            <Box>({datasetTestItem.duration})</Box>
+          </Flex>
+          <Grid
+            mt={1}
+            gridTemplateColumns={[
+              'repeat(1,minmax(0, 1fr))',
+              'repeat(1,minmax(0, 1fr))',
+              'repeat(1,minmax(0, 1fr))',
+              'repeat(1,minmax(0, 1fr))',
+              'repeat(2,minmax(0, 1fr))'
+            ]}
+            gridGap={4}
+          >
+            {datasetTestItem?.results.map((item, index) => (
+              <Box
+                key={item.id}
+                p={2}
+                borderRadius={'sm'}
+                border={theme.borders.base}
+                _notLast={{ mb: 2 }}
+              >
+                <QuoteItem quoteItem={item} canViewSource />
+              </Box>
+            ))}
+          </Grid>
+        </>
+      )}
+    </>
+  );
+});
--- a/projects/app/src/pages/dataset/detail/index.tsx
+++ b/projects/app/src/pages/dataset/detail/index.tsx
@@ -156,7 +156,7 @@ const Detail = ({ datasetId, currentTab }: { datasetId: string; currentTab: `${T
              borderRight={theme.borders.base}
            >
              <Flex mb={4} alignItems={'center'}>
-                <Avatar src={datasetDetail.avatar} w={'34px'} borderRadius={'lg'} />
+                <Avatar src={datasetDetail.avatar} w={'34px'} borderRadius={'md'} />
                <Box ml={2}>
                  <Box fontWeight={'bold'}>{datasetDetail.name}</Box>
                </Box>
--- a/projects/app/src/pages/dataset/list/index.tsx
+++ b/projects/app/src/pages/dataset/list/index.tsx
@@ -211,7 +211,7 @@ const Kb = () => {
            borderWidth={1.5}
            borderColor={dragTargetId === dataset._id ? 'primary.600' : 'borderColor.low'}
            bg={'white'}
-            borderRadius={'lg'}
+            borderRadius={'md'}
            minH={'130px'}
            position={'relative'}
            data-drag-id={dataset.type === DatasetTypeEnum.folder ? dataset._id : undefined}
@@ -390,7 +390,7 @@ const Kb = () => {
              />
            )}
            <Flex alignItems={'center'} h={'38px'}>
-              <Avatar src={dataset.avatar} borderRadius={'lg'} w={'28px'} />
+              <Avatar src={dataset.avatar} borderRadius={'md'} w={'28px'} />
              <Box mx={3} className="textEllipsis3">
                {dataset.name}
              </Box>
--- a/projects/app/src/pages/plugin/list/index.tsx
+++ b/projects/app/src/pages/plugin/list/index.tsx
@@ -60,7 +60,7 @@ const MyModules = () => {
            borderWidth={'1.5px'}
            borderColor={'borderColor.low'}
            bg={'white'}
-            borderRadius={'lg'}
+            borderRadius={'md'}
            userSelect={'none'}
            position={'relative'}
            _hover={{
--- a/projects/app/src/service/core/ai/rerank.ts
+++ b/projects/app/src/service/core/ai/rerank.ts
@@ -18,7 +18,8 @@ export function reRankRecall({ query, inputs }: PostReRankProps) {
    {
      headers: {
        Authorization: `Bearer ${model.requestAuth}`
-      }
+      },
+      timeout: 120000
    }
  )
    .then((data) => {
--- a/projects/app/src/service/core/dataset/data/controller.ts
+++ b/projects/app/src/service/core/dataset/data/controller.ts
@@ -275,25 +275,20 @@ export async function searchDatasetData(props: {
    const oneChunkToken = 50;
    const estimatedLen = Math.max(20, Math.ceil(maxTokens / oneChunkToken));

-    // Increase search range, reduce hnsw loss. 20 ~ 100
    if (searchMode === DatasetSearchModeEnum.embedding) {
      return {
-        embeddingLimit: Math.min(estimatedLen, 100),
+        embeddingLimit: Math.min(estimatedLen, 80),
        fullTextLimit: 0
      };
    }
-    // 50 < 2*limit < value < 100
    if (searchMode === DatasetSearchModeEnum.fullTextRecall) {
      return {
        embeddingLimit: 0,
        fullTextLimit: Math.min(estimatedLen, 50)
      };
    }
-    // mixed
-    // 50 < 2*limit < embedding < 80
-    // 20 < limit < fullTextLimit < 40
    return {
-      embeddingLimit: Math.min(estimatedLen, 80),
+      embeddingLimit: Math.min(estimatedLen, 60),
      fullTextLimit: Math.min(estimatedLen, 40)
    };
  };
@@ -340,7 +335,6 @@ export async function searchDatasetData(props: {
          q: data.q,
          a: data.a,
          chunkIndex: data.chunkIndex,
-          indexes: data.indexes,
          datasetId: String(data.datasetId),
          collectionId: String(data.collectionId),
          sourceName: collection.name || '',
@@ -389,7 +383,6 @@ export async function searchDatasetData(props: {
              collectionId: 1,
              q: 1,
              a: 1,
-              indexes: 1,
              chunkIndex: 1
            }
          )
@@ -464,6 +457,7 @@ export async function searchDatasetData(props: {

      return mergeResult;
    } catch (error) {
+      usingReRank = false;
      return [];
    }
  };
@@ -553,6 +547,11 @@ export async function searchDatasetData(props: {
  const rrfConcat = (
    arr: { k: number; list: SearchDataResponseItemType[] }[]
  ): SearchDataResponseItemType[] => {
+    arr = arr.filter((item) => item.list.length > 0);
+
+    if (arr.length === 0) return [];
+    if (arr.length === 1) return arr[0].list;
+
    const map = new Map<string, SearchDataResponseItemType & { rrfScore: number }>();

    // rrf
@@ -643,7 +642,7 @@ export async function searchDatasetData(props: {
  // embedding recall and fullText recall rrf concat
  const rrfConcatResults = rrfConcat([
    { k: 60, list: embeddingRecallResults },
-    { k: 60, list: fullTextRecallResults },
+    { k: 64, list: fullTextRecallResults },
    { k: 60, list: reRankResults }
  ]);

@@ -685,6 +684,10 @@ export async function searchDatasetData(props: {
  return {
    searchRes: filterResultsByMaxTokens(scoreFilter, maxTokens),
    tokens,
+    searchMode,
+    limit: maxTokens,
+    similarity,
+    usingReRank,
    usingSimilarityFilter
  };
 }
--- a/projects/app/src/service/moduleDispatch/agent/classifyQuestion.ts
+++ b/projects/app/src/service/moduleDispatch/agent/classifyQuestion.ts
@@ -176,10 +176,12 @@ async function completions({
    {
      obj: ChatRoleEnum.Human,
      value: replaceVariable(cqModel.functionPrompt || Prompt_CQJson, {
-        systemPrompt,
-        typeList: agents.map((item) => `{"${item.value}": ${item.key}}`).join('\n'),
-        text: `${histories.map((item) => `${item.obj}:${item.value}`).join('\n')}
-Human:${userChatInput}`
+        systemPrompt: systemPrompt || 'null',
+        typeList: agents
+          .map((item) => `{"questionType": "${item.value}", "typeId": "${item.key}"}`)
+          .join('\n'),
+        history: histories.map((item) => `${item.obj}:${item.value}`).join('\n'),
+        question: userChatInput
      })
    }
  ];
@@ -194,7 +196,8 @@ Human:${userChatInput}`
  });
  const answer = data.choices?.[0].message?.content || '';

-  const id = agents.find((item) => answer.includes(item.key))?.key || '';
+  const id =
+    agents.find((item) => answer.includes(item.key) || answer.includes(item.value))?.key || '';

  return {
    inputTokens: data.usage?.prompt_tokens || 0,
--- a/projects/app/src/service/moduleDispatch/dataset/search.ts
+++ b/projects/app/src/service/moduleDispatch/dataset/search.ts
@@ -52,7 +52,12 @@ export async function dispatchDatasetSearch(
  const concatQueries = [userChatInput];

  // start search
-  const { searchRes, tokens, usingSimilarityFilter } = await searchDatasetData({
+  const {
+    searchRes,
+    tokens,
+    usingSimilarityFilter,
+    usingReRank: searchUsingReRank
+  } = await searchDatasetData({
    rawQuery: userChatInput,
    queries: concatQueries,
    model: vectorModel.model,
@@ -81,7 +86,7 @@ export async function dispatchDatasetSearch(
      similarity: usingSimilarityFilter ? similarity : undefined,
      limit,
      searchMode,
-      searchUsingReRank: usingReRank
+      searchUsingReRank: searchUsingReRank
    }
  };
 }
--- a/projects/app/src/service/moduleDispatch/index.ts
+++ b/projects/app/src/service/moduleDispatch/index.ts
@@ -181,7 +181,7 @@ export async function dispatchModules({
      });
    }

-    // get fetch params
+    // get module running params
    const params: Record<string, any> = {};
    module.inputs.forEach((item: any) => {
      params[item.key] = item.value;
@@ -198,6 +198,7 @@ export async function dispatchModules({
      inputs: params
    };

+    // run module
    const dispatchRes: Record<string, any> = await (async () => {
      if (callbackMap[module.flowType]) {
        return callbackMap[module.flowType](dispatchData);
@@ -205,10 +206,13 @@ export async function dispatchModules({
      return {};
    })();

+    // format response data. Add modulename and moduletype
    const formatResponseData = (() => {
      if (!dispatchRes[ModuleOutputKeyEnum.responseData]) return undefined;
-      if (Array.isArray(dispatchRes[ModuleOutputKeyEnum.responseData]))
+      if (Array.isArray(dispatchRes[ModuleOutputKeyEnum.responseData])) {
        return dispatchRes[ModuleOutputKeyEnum.responseData];
+      }
+
      return {
        moduleName: module.name,
        moduleType: module.flowType,
@@ -216,8 +220,16 @@ export async function dispatchModules({
      };
    })();

+    // Pass userChatInput
+    const hasUserChatInputTarget = !!module.outputs.find(
+      (item) => item.key === ModuleOutputKeyEnum.userChatInput
+    )?.targets?.length;
+
    return moduleOutput(module, {
      [ModuleOutputKeyEnum.finish]: true,
+      [ModuleOutputKeyEnum.userChatInput]: hasUserChatInputTarget
+        ? params[ModuleOutputKeyEnum.userChatInput]
+        : undefined,
      ...dispatchRes,
      [ModuleOutputKeyEnum.responseData]: formatResponseData
    });
--- a/projects/app/src/web/core/dataset/store/searchTest.ts
+++ b/projects/app/src/web/core/dataset/store/searchTest.ts
@@ -12,6 +12,9 @@ export type SearchTestStoreItemType = {
  duration: string;
  results: SearchDataResponseItemType[];
  searchMode: `${DatasetSearchModeEnum}`;
+  limit: number;
+  usingReRank: boolean;
+  similarity: number;
 };

 type State = {
--- a/projects/app/src/web/styles/theme.ts
+++ b/projects/app/src/web/styles/theme.ts
@@ -417,8 +417,8 @@ export const theme = extendTheme({
    body: 'PingFang,Noto Sans,-apple-system,BlinkMacSystemFont,"Segoe UI",Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol"'
  },
  fontSizes: {
-    xs: '10',
-    sm: '12px',
+    xs: '12px',
+    sm: '13px',
    md: '14px',
    lg: '16px',
    xl: '18px',
@@ -440,7 +440,7 @@ export const theme = extendTheme({
    md: '1px solid #DAE0E2',
    lg: '1px solid #D0E0E2'
  },
-  borderRadius: {
+  radii: {
    xs: '4px',
    sm: '6px',
    md: '8px',