user feedback and admin mark (#228 )

* fix: csv empty data * feat: user feedback and mark answer * version intro * perf: chat logs sort
issue template
2023-08-27 23:12:06 +08:00 · 2023-08-27 01:18:33 +08:00 · 2023-08-27 01:13:13 +08:00 · 2023-08-27 00:27:48 +08:00 · 2023-08-27 00:26:51 +08:00 · 2023-08-27 00:26:14 +08:00
130 changed files with 2127 additions and 3708 deletions
--- a/.github/ISSUE_TEMPLATE/bugs.md
+++ b/.github/ISSUE_TEMPLATE/bugs.md
@@ -0,0 +1,29 @@
+---
+name: 问题反馈
+about: 详细清晰的描述你遇到的问题
+title: ''
+labels: bug
+assignees: ''
+
+---
+
+**例行检查**
+
+[//]: # (方框内删除已有的空格，填 x 号)
+ [ ] 我已确认目前没有类似 issue
+ [ ] 我已完整查看过项目 README，以及[项目文档](https://doc.fastgpt.run/docs/intro/)
+ [ ] 我使用了自己的key，并确认我的 key 是可正常使用的
+ [ ] 我理解并愿意跟进此 issue，协助测试和提供反馈 
+ [ ] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 issue 可能会被无视或直接关闭**
+
+**你的版本**
+ [ ] 公有云版本
+ [ ] 私有部署版本
+
+**问题描述**
+
+**复现步骤**
+
+**预期结果**
+
+**相关截图**
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: 微信交流群
+    url: https://doc.fastgpt.run/wechat-fastgpt.webp
+    about: FastGPT 全是问题群
--- a/.github/ISSUE_TEMPLATE/features.md
+++ b/.github/ISSUE_TEMPLATE/features.md
@@ -0,0 +1,23 @@
+---
+name: 功能请求
+about: 详细描述你期望的功能
+title: ''
+labels: enhancement
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '方框内删除已有的空格，填 x 号'
+
+- [ ] 我已确认目前没有类似 features
+- [ ] 我已确认我已升级到最新版本
+- [ ] 我已完整查看过项目 README，已确定现有版本无法满足需求
+- [ ] 我理解并愿意跟进此 features，协助测试和提供反馈
+- [ ] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 features 可能会被无视或直接关闭**
+
+**功能描述**
+
+**应用场景**
+
+**相关示例**
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+<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
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+<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
+<defs>
+<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
 </svg>
--- a/.github/workflows/deploy-docs.yml
+++ b/.github/workflows/deploy-docs.yml
@@ -54,7 +54,7 @@ jobs:

      # Step 4 - Builds the site using Hugo
      - name: Build
-        run: hugo -v --minify -s docSite
+        run: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
        env:
          HUGO_BASEURL: ${{ vars.BASE_URL }}

--- a/.github/workflows/fastgpt-image.yml
+++ b/.github/workflows/fastgpt-image.yml
@@ -77,3 +77,28 @@ jobs:
        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
      - name: Push image to Docker Hub
        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+  push-to-ali-hub:
+    needs: build-fastgpt-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
--- a/README.md
+++ b/README.md
@@ -85,9 +85,9 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开

 ## 🏘️ 社区交流群

-| 交流群                                              | 小助手                                         |
-| --------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300-2.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
+| 交流群                                                | 小助手                                         |
+| ----------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300-222.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

 ## 👀 其他

@@ -113,9 +113,9 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开

 ## 使用协议

-本仓库遵循 [FstGPT Open Source License](./LICENSE) 开源协议。
+本仓库遵循 [FastGPT Open Source License](./LICENSE) 开源协议。

 1. 允许作为后台服务直接商用，但不允许直接使用 saas 服务商用。
 2. 需保留相关版权信息。
-3. 完整请查看 [FstGPT Open Source License](./LICENSE)
+3. 完整请查看 [FastGPT Open Source License](./LICENSE)
 4. 联系方式：yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
--- a/client/data/config.json
+++ b/client/data/config.json
@@ -45,19 +45,19 @@
      "defaultSystem": ""
    }
  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "maxToken": 16000,
-      "price": 0
-    }
-  ],
  "VectorModels": [
    {
      "model": "text-embedding-ada-002",
      "name": "Embedding-2",
-      "price": 0
+      "price": 0,
+      "defaultToken": 500,
+      "maxToken": 3000
    }
-  ]
+  ],
+  "QAModel": {
+    "model": "gpt-3.5-turbo-16k",
+    "name": "GPT35-16k",
+    "maxToken": 16000,
+    "price": 0
+  }
 }
--- a/client/pnpm-lock.yaml
+++ b/client/pnpm-lock.yaml
@@ -1,8 +1,4 @@
-lockfileVersion: '6.1'
-
-settings:
-  autoInstallPeers: true
-  excludeLinksFromLockfile: false
+lockfileVersion: '6.0'

 dependencies:
  '@chakra-ui/icons':
@@ -94,7 +90,7 @@ dependencies:
    version: registry.npmmirror.com/nanoid@4.0.1
  next:
    specifier: 13.1.6
-    version: registry.npmmirror.com/next@13.1.6(@babel/core@7.22.5)(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
+    version: registry.npmmirror.com/next@13.1.6(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
  next-i18next:
    specifier: ^13.3.0
    version: registry.npmmirror.com/next-i18next@13.3.0(i18next@22.5.1)(next@13.1.6)(react-i18next@12.3.1)(react@18.2.0)
@@ -234,6 +230,7 @@ packages:
    dependencies:
      '@jridgewell/gen-mapping': registry.npmmirror.com/@jridgewell/gen-mapping@0.3.3
      '@jridgewell/trace-mapping': registry.npmmirror.com/@jridgewell/trace-mapping@0.3.18
+    dev: true

  registry.npmmirror.com/@aws-crypto/crc32@3.0.0:
    resolution: {integrity: sha512-IzSgsrxUcsrejQbPVilIKy16kAT52EwB6zSaI+M3xxIhKh5+aldEyvI+z6erM7TCLB2BJsFrtHjp6/4/sr+3dA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@aws-crypto/crc32/-/crc32-3.0.0.tgz}
@@ -1214,6 +1211,7 @@ packages:
    name: '@babel/compat-data'
    version: 7.22.5
    engines: {node: '>=6.9.0'}
+    dev: true

  registry.npmmirror.com/@babel/core@7.22.5:
    resolution: {integrity: sha512-SBuTAjg91A3eKOvD+bPEz3LlhHZRNu1nFOVts9lzDJTXshHTjII0BAtDS3Y2DAkdZdDKWVZGVwkDfc4Clxn1dg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@babel/core/-/core-7.22.5.tgz}
@@ -1238,6 +1236,7 @@ packages:
      semver: registry.npmmirror.com/semver@6.3.0
    transitivePeerDependencies:
      - supports-color
+    dev: true

  registry.npmmirror.com/@babel/generator@7.22.5:
    resolution: {integrity: sha512-+lcUbnTRhd0jOewtFSedLyiPsD5tswKkbgcezOqqWFUVNEwoUTlpPOBmvhG7OXWLR4jMdv0czPGH5XbflnD1EA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@babel/generator/-/generator-7.22.5.tgz}
@@ -1249,6 +1248,7 @@ packages:
      '@jridgewell/gen-mapping': registry.npmmirror.com/@jridgewell/gen-mapping@0.3.3
      '@jridgewell/trace-mapping': registry.npmmirror.com/@jridgewell/trace-mapping@0.3.18
      jsesc: registry.npmmirror.com/jsesc@2.5.2
+    dev: true

  registry.npmmirror.com/@babel/helper-annotate-as-pure@7.22.5:
    resolution: {integrity: sha512-LvBTxu8bQSQkcyKOU+a1btnNFQ1dMAd0R6PyW3arXes06F6QLWLIrd681bxRPIXlrMGR3XYnW9JyML7dP3qgxg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.22.5.tgz}
@@ -1283,6 +1283,7 @@ packages:
      browserslist: registry.npmmirror.com/browserslist@4.21.7
      lru-cache: registry.npmmirror.com/lru-cache@5.1.1
      semver: registry.npmmirror.com/semver@6.3.0
+    dev: true

  registry.npmmirror.com/@babel/helper-create-class-features-plugin@7.22.5(@babel/core@7.22.5):
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    version: 7.22.5
    engines: {node: '>=6.9.0'}
+    dev: true

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      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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    dependencies:
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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    transitivePeerDependencies:
      - supports-color
+    dev: true

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    dependencies:
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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    dependencies:
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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@@ -1490,6 +1497,7 @@ packages:
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    version: 7.22.5
    engines: {node: '>=6.9.0'}
+    dev: true

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@@ -1516,6 +1524,7 @@ packages:
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
    transitivePeerDependencies:
      - supports-color
+    dev: true

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@@ -1535,6 +1544,7 @@ packages:
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    dependencies:
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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      '@babel/parser': registry.npmmirror.com/@babel/parser@7.22.5
      '@babel/types': registry.npmmirror.com/@babel/types@7.22.5
+    dev: true

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@@ -2816,6 +2827,7 @@ packages:
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    transitivePeerDependencies:
      - supports-color
+    dev: true

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      '@jridgewell/trace-mapping': registry.npmmirror.com/@jridgewell/trace-mapping@0.3.18
+    dev: true

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    name: '@jridgewell/resolve-uri'
    version: 3.1.0
    engines: {node: '>=6.0.0'}
+    dev: true

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    name: '@jridgewell/set-array'
    version: 1.1.2
    engines: {node: '>=6.0.0'}
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    name: '@jridgewell/sourcemap-codec'
    version: 1.4.14
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    name: '@jridgewell/sourcemap-codec'
    version: 1.4.15
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@@ -4439,6 +4456,7 @@ packages:
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      '@jridgewell/sourcemap-codec': registry.npmmirror.com/@jridgewell/sourcemap-codec@1.4.14
+    dev: true

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@@ -6065,6 +6083,7 @@ packages:
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      node-releases: registry.npmmirror.com/node-releases@2.0.12
      update-browserslist-db: registry.npmmirror.com/update-browserslist-db@1.0.11(browserslist@4.21.7)
+    dev: true

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    name: electron-to-chromium
    version: 1.4.425
+    dev: true

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@@ -7287,6 +7307,7 @@ packages:
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    version: 3.1.1
    engines: {node: '>=6'}
+    dev: true

  registry.npmmirror.com/escape-string-regexp@1.0.5:
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@@ -7926,6 +7947,7 @@ packages:
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    version: 1.0.0-beta.2
    engines: {node: '>=6.9.0'}
+    dev: true

  registry.npmmirror.com/get-intrinsic@1.2.1:
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@@ -8017,6 +8039,7 @@ packages:
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    version: 11.12.0
    engines: {node: '>=4'}
+    dev: true

  registry.npmmirror.com/globals@13.20.0:
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@@ -8836,6 +8859,7 @@ packages:
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    engines: {node: '>=4'}
    hasBin: true
+    dev: true

  registry.npmmirror.com/json-parse-even-better-errors@2.3.1:
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@@ -8869,6 +8893,7 @@ packages:
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    engines: {node: '>=6'}
    hasBin: true
+    dev: true

  registry.npmmirror.com/jsonwebtoken@9.0.0:
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@@ -9106,6 +9131,7 @@ packages:
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    dependencies:
      yallist: registry.npmmirror.com/yallist@3.1.1
+    dev: true

  registry.npmmirror.com/lru-cache@6.0.0:
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@@ -9890,12 +9916,12 @@ packages:
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      i18next-fs-backend: registry.npmmirror.com/i18next-fs-backend@2.1.5
-      next: registry.npmmirror.com/next@13.1.6(@babel/core@7.22.5)(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
+      next: registry.npmmirror.com/next@13.1.6(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
      react: registry.npmmirror.com/react@18.2.0
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    dev: false

-  registry.npmmirror.com/next@13.1.6(@babel/core@7.22.5)(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3):
+  registry.npmmirror.com/next@13.1.6(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3):
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    id: registry.npmmirror.com/next/13.1.6
    name: next
@@ -9923,7 +9949,7 @@ packages:
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      react-dom: registry.npmmirror.com/react-dom@18.2.0(react@18.2.0)
      sass: registry.npmmirror.com/sass@1.58.3
-      styled-jsx: registry.npmmirror.com/styled-jsx@5.1.1(@babel/core@7.22.5)(react@18.2.0)
+      styled-jsx: registry.npmmirror.com/styled-jsx@5.1.1(react@18.2.0)
    optionalDependencies:
      '@next/swc-android-arm-eabi': registry.npmmirror.com/@next/swc-android-arm-eabi@13.1.6
      '@next/swc-android-arm64': registry.npmmirror.com/@next/swc-android-arm64@13.1.6
@@ -9952,13 +9978,14 @@ packages:
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    dependencies:
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-      next: registry.npmmirror.com/next@13.1.6(@babel/core@7.22.5)(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
+      next: registry.npmmirror.com/next@13.1.6(react-dom@18.2.0)(react@18.2.0)(sass@1.58.3)
    dev: false

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    name: node-releases
    version: 2.0.12
+    dev: true

  registry.npmmirror.com/non-layered-tidy-tree-layout@2.0.2:
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@@ -11145,6 +11172,7 @@ packages:
    name: semver
    version: 6.3.0
    hasBin: true
+    dev: true

  registry.npmmirror.com/semver@7.5.1:
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@@ -11421,7 +11449,7 @@ packages:
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    dev: false

-  registry.npmmirror.com/styled-jsx@5.1.1(@babel/core@7.22.5)(react@18.2.0):
+  registry.npmmirror.com/styled-jsx@5.1.1(react@18.2.0):
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    id: registry.npmmirror.com/styled-jsx/5.1.1
    name: styled-jsx
@@ -11437,7 +11465,6 @@ packages:
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    dependencies:
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      client-only: registry.npmmirror.com/client-only@0.0.1
      react: registry.npmmirror.com/react@18.2.0
    dev: false
@@ -11859,6 +11886,7 @@ packages:
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      escalade: registry.npmmirror.com/escalade@3.1.1
      picocolors: registry.npmmirror.com/picocolors@1.0.0
+    dev: true

  registry.npmmirror.com/uri-js@4.4.1:
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@@ -12221,6 +12249,7 @@ packages:
    resolution: {integrity: sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yallist/-/yallist-3.1.1.tgz}
    name: yallist
    version: 3.1.1
+    dev: true

  registry.npmmirror.com/yallist@4.0.0:
    resolution: {integrity: sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yallist/-/yallist-4.0.0.tgz}
@@ -12273,3 +12302,7 @@ packages:
    name: zwitch
    version: 2.0.4
    dev: false
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
--- a/client/public/docs/chatProblem.md
+++ b/client/public/docs/chatProblem.md
@@ -1,10 +1,11 @@
 ### 常见问题

- [**Git 地址**,点击查看项目地址](https://github.com/labring/FastGPT)
+- [**Git 地址**，点击查看项目地址](https://github.com/labring/FastGPT)
 - [本地部署 FastGPT](https://doc.fastgpt.run/docs/installation)
 - [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
 - **反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
 - **问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [点击查看商业版文档](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

 **价格表**
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
--- a/client/public/docs/versionIntro.md
+++ b/client/public/docs/versionIntro.md
@@ -1,8 +1,7 @@
-### Fast GPT V4.2
+### Fast GPT V4.2.2

-1. 新增 - 应用日志初版，可观测到所有对话记录
-2. 新增 - 好友邀请链接，[点击查看](/account?currentTab=promotion)
-3. 新增 - Iframe 嵌入页面图标可拖拽
-4. 优化 - 知识库搜索提示词
-5. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
-6. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
+1. **新增 - 用户反馈和管理员标注预期答案，以不断提高模型回复准确率。** 该功能为测试版，未来交互可能会有变化，欢迎大家提出宝贵意见。
+2. 优化 - 知识库搜索提示词，更适配问答场景。
+3. 新增 - 好友邀请链接，[点击查看](/account?currentTab=promotion)
+4. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
+5. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
--- a/client/public/favicon.ico
+++ b/client/public/favicon.ico
--- a/client/public/icon/logo.png
+++ b/client/public/icon/logo.png
--- a/client/public/icon/logo.svg
+++ b/client/public/icon/logo.svg
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+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
 </svg>
--- a/client/public/icon/logo2.png
+++ b/client/public/icon/logo2.png
--- a/client/public/locales/en/common.json
+++ b/client/public/locales/en/common.json
@@ -3,8 +3,9 @@
  "Cancel": "No",
  "Confirm": "Yes",
  "Running": "Running",
-  "Warning": "Warning",
+  "Select value is empty": "Select value is empty",
  "UnKnow": "UnKnow",
+  "Warning": "Warning",
  "app": {
    "Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
    "App Detail": "App Detail",
@@ -17,6 +18,7 @@
    "Copy Module Config": "Copy config",
    "Export Config Successful": "The configuration has been copied. Please check for important data",
    "Export Configs": "Export Configs",
+    "Feedback Count": "User Feedback",
    "Import Config": "Import Config",
    "Import Config Failed": "Failed to import the configuration, please ensure that the configuration is normal!",
    "Import Configs": "Import Configs",
@@ -26,16 +28,33 @@
    "Logs Source": "Source",
    "Logs Time": "Time",
    "Logs Title": "Title",
+    "Mark Count": "Mark Count",
    "My Apps": "My Apps",
    "Output Field Settings": "Output Field Settings",
    "Paste Config": "Paste Config"
  },
  "chat": {
+    "Admin Mark Content": "Corrected response",
    "Complete Response": "Complete Response",
    "Confirm to clear history": "Confirm to clear history?",
    "Exit Chat": "Exit",
+    "Feedback Failed": "Feedback Failed",
+    "Feedback Mark": "Mark",
+    "Feedback Modal": "Feedback",
+    "Feedback Modal Tip": "Enter what you find unsatisfactory",
+    "Feedback Close": "Close Feedback",
+    "Feedback Submit": "Submit",
+    "Feedback Success": "Feedback Success",
+    "Feedback Update Failed": "Feedback Update Failed",
    "History": "History",
+    "Mark": "Mark",
+    "Mark Description": "The annotation feature is currently in beta. \n\n After clicking Add annotation, you need to select a knowledge base in order to store annotation data. You can use this feature to quickly annotate questions and expected answers to guide the model to the next answer. At present, the annotation function, like other data in the knowledge base, is affected by the model, which does not mean that the annotation meets 100% expectations. The \n\n annotation data is only unidirectional synchronization with the knowledge base. If the knowledge base modifies the annotation data, the annotation data displayed in the log cannot be synchronized",
+    "Mark Description Title": "Mark Description",
    "New Chat": "New Chat",
+    "Read Mark Description": "Read mark description",
+    "Read User Feedback": "Read user feedback",
+    "Select Mark Kb": "Select Dataset",
+    "Select Mark Kb Desc": "Select a dataset to store the expected answers",
    "You need to a chat app": "You need to a chat app",
    "logs": {
      "api": "API",
@@ -120,8 +139,8 @@
    "Start Now": "Start Now",
    "Visual AI orchestration": "Visual AI orchestration",
    "Why FastGPT": "",
-    "desc": "",
-    "slogan": ""
+    "desc": "AI knowledge base question and answer platform based on LLM large model",
+    "slogan": "Let the AI know more about you"
  },
  "navbar": {
    "Account": "Account",
--- a/client/public/locales/zh/common.json
+++ b/client/public/locales/zh/common.json
@@ -3,8 +3,9 @@
  "Cancel": "取消",
  "Confirm": "确认",
  "Running": "运行中",
-  "Warning": "提示",
+  "Select value is empty": "选择的内容为空",
  "UnKnow": "未知",
+  "Warning": "提示",
  "app": {
    "Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
    "App Detail": "应用详情",
@@ -17,6 +18,7 @@
    "Copy Module Config": "复制配置",
    "Export Config Successful": "已复制配置，请注意检查是否有重要数据",
    "Export Configs": "导出配置",
+    "Feedback Count": "用户反馈",
    "Import Config": "导入配置",
    "Import Config Failed": "导入配置失败，请确保配置正常！",
    "Import Configs": "导入配置",
@@ -26,16 +28,33 @@
    "Logs Source": "来源",
    "Logs Time": "时间",
    "Logs Title": "标题",
+    "Mark Count": "标注答案数量",
    "My Apps": "我的应用",
    "Output Field Settings": "输出字段编辑",
    "Paste Config": "粘贴配置"
  },
  "chat": {
+    "Admin Mark Content": "纠正后的回复",
    "Complete Response": "完整响应",
    "Confirm to clear history": "确认清空该应用的聊天记录？",
    "Exit Chat": "退出聊天",
+    "Feedback Failed": "提交反馈异常",
+    "Feedback Mark": "标注",
+    "Feedback Modal": "结果反馈",
+    "Feedback Modal Tip": "输入你觉得回答不满意的地方",
+    "Feedback Close": "关闭反馈",
+    "Feedback Submit": "提交反馈",
+    "Feedback Success": "反馈成功!",
+    "Feedback Update Failed": "更新反馈状态失败",
    "History": "记录",
+    "Mark": "标注预期回答",
+    "Mark Description": "当前标注功能为测试版。\n\n点击添加标注后，需要选择一个知识库，以便存储标注数据。你可以通过该功能快速的标注问题和预期回答，以便引导模型下次的回答。\n\n目前，标注功能同知识库其他数据一样，受模型的影响，不代表标注后 100% 符合预期。\n\n标注数据仅单向与知识库同步，如果知识库修改了该标注数据，日志展示的标注数据无法同步",
+    "Mark Description Title": "标注功能介绍",
    "New Chat": "新对话",
+    "Read Mark Description": "查看标注功能介绍",
+    "Read User Feedback": "查看用户反馈",
+    "Select Mark Kb": "选择知识库",
+    "Select Mark Kb Desc": "选择一个知识库存储预期答案",
    "You need to a chat app": "你需要创建一个应用",
    "logs": {
      "api": "API 调用",
--- a/client/src/api/app.ts
+++ b/client/src/api/app.ts
@@ -53,4 +53,4 @@ export const getAppTotalUsage = (data: { appId: string }) =>
  }).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));

 export const getAppChatLogs = (data: RequestPaging & { appId: string }) =>
-  POST(`/chat/getChatLogs`, data);
+  POST(`/app/getChatLogs`, data);
--- a/client/src/api/chat.ts
+++ b/client/src/api/chat.ts
@@ -5,6 +5,7 @@ import { RequestPaging } from '../types/index';
 import type { OutLinkSchema } from '@/types/mongoSchema';
 import type { ShareChatEditType } from '@/types/app';
 import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
+import { AdminUpdateFeedbackParams } from './request/chat';

 /**
 * 获取初始化聊天内容
@@ -64,3 +65,9 @@ export const getShareChatList = (appId: string) =>
 * delete a  shareChat
 */
 export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
+
+export const userUpdateChatFeedback = (data: { chatItemId: string; userFeedback?: string }) =>
+  POST('/chat/feedback/userUpdate', data);
+
+export const adminUpdateChatFeedback = (data: AdminUpdateFeedbackParams) =>
+  POST('/chat/feedback/adminUpdate', data);
--- a/client/src/api/plugins/kb.ts
+++ b/client/src/api/plugins/kb.ts
@@ -12,20 +12,14 @@ import {
 } from '@/pages/api/openapi/kb/searchTest';
 import { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
 import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
-
-export type KbUpdateParams = {
-  id: string;
-  name: string;
-  tags: string;
-  avatar: string;
-};
+import type { KbUpdateParams, CreateKbParams } from '../request/kb';

 /* knowledge base */
 export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);

 export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);

-export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
+export const postCreateKb = (data: CreateKbParams) => POST<string>(`/plugins/kb/create`, data);

 export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);

@@ -72,6 +66,14 @@ export const getKbDataItemById = (dataId: string) =>
 export const postKbDataFromList = (data: PushDataProps) =>
  POST<PushDateResponse>(`/openapi/kb/pushData`, data);

+/**
+ * insert one data to dataset
+ */
+export const insertData2Kb = (data: {
+  kbId: string;
+  data: { a: string; q: string; source?: string };
+}) => POST<string>(`/plugins/kb/data/insertData`, data);
+
 /**
 * 更新一条数据
 */
--- a/client/src/api/request/chat.d.ts
+++ b/client/src/api/request/chat.d.ts
@@ -0,0 +1,6 @@
+export type AdminUpdateFeedbackParams = {
+  chatItemId: string;
+  kbId: string;
+  dataId: string;
+  content: string;
+};
--- a/client/src/api/request/kb.d.ts
+++ b/client/src/api/request/kb.d.ts
@@ -0,0 +1,12 @@
+export type KbUpdateParams = {
+  id: string;
+  name: string;
+  tags: string;
+  avatar: string;
+};
+export type CreateKbParams = {
+  name: string;
+  tags: string[];
+  avatar: string;
+  vectorModel: string;
+};
--- a/client/src/api/user.ts
+++ b/client/src/api/user.ts
@@ -25,7 +25,7 @@ export const postRegister = ({
  username: string;
  code: string;
  password: string;
-  inviterId: string;
+  inviterId?: string;
 }) =>
  POST<ResLogin>(`/plusApi/user/account/register`, {
    username,
--- a/client/src/components/ChatBox/FeedbackModal.tsx
+++ b/client/src/components/ChatBox/FeedbackModal.tsx
@@ -0,0 +1,56 @@
+import React, { useRef } from 'react';
+import { ModalBody, Textarea, ModalFooter, Button } from '@chakra-ui/react';
+import MyModal from '../MyModal';
+import { useRequest } from '@/hooks/useRequest';
+import { useTranslation } from 'next-i18next';
+import { userUpdateChatFeedback } from '@/api/chat';
+
+const FeedbackModal = ({
+  chatItemId,
+  onSuccess,
+  onClose
+}: {
+  chatItemId: string;
+  onSuccess: (e: string) => void;
+  onClose: () => void;
+}) => {
+  const ref = useRef<HTMLTextAreaElement>(null);
+  const { t } = useTranslation();
+
+  const { mutate, isLoading } = useRequest({
+    mutationFn: async () => {
+      const val = ref.current?.value || 'N/A';
+      return userUpdateChatFeedback({
+        chatItemId,
+        userFeedback: val
+      });
+    },
+    onSuccess() {
+      onSuccess(ref.current?.value || 'N/A');
+    },
+    successToast: t('chat.Feedback Success'),
+    errorToast: t('chat.Feedback Failed')
+  });
+
+  return (
+    <MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
+      <ModalBody>
+        <Textarea
+          ref={ref}
+          rows={10}
+          placeholder={t('chat.Feedback Modal Tip') || 'chat.Feedback Modal Tip'}
+        />
+      </ModalBody>
+      <ModalFooter>
+        <Button variant={'base'} mr={2} onClick={onClose}>
+          {t('Cancel')}
+        </Button>
+        <Button isLoading={isLoading} onClick={mutate}>
+          {t('chat.Feedback Submit')}
+        </Button>
+      </ModalFooter>
+    </MyModal>
+  );
+};
+
+export default FeedbackModal;
--- a/client/src/components/ChatBox/ReadFeedbackModal.tsx
+++ b/client/src/components/ChatBox/ReadFeedbackModal.tsx
@@ -0,0 +1,55 @@
+import React from 'react';
+import { ModalBody, ModalFooter, Button } from '@chakra-ui/react';
+import MyModal from '../MyModal';
+import { useRequest } from '@/hooks/useRequest';
+import { useTranslation } from 'next-i18next';
+import { userUpdateChatFeedback } from '@/api/chat';
+
+const ReadFeedbackModal = ({
+  chatItemId,
+  content,
+  isMarked,
+  onMark,
+  onSuccess,
+  onClose
+}: {
+  chatItemId: string;
+  content: string;
+  isMarked: boolean;
+  onMark: () => void;
+  onSuccess: () => void;
+  onClose: () => void;
+}) => {
+  const { t } = useTranslation();
+
+  const { mutate, isLoading } = useRequest({
+    mutationFn: async () => {
+      return userUpdateChatFeedback({
+        chatItemId,
+        userFeedback: undefined
+      });
+    },
+    onSuccess() {
+      onSuccess();
+    },
+    errorToast: t('chat.Feedback Update Failed')
+  });
+
+  return (
+    <MyModal isOpen={true} onClose={onClose} title={t('chat.Feedback Modal')}>
+      <ModalBody>{content}</ModalBody>
+      <ModalFooter>
+        {!isMarked && (
+          <Button variant={'base'} mr={2} onClick={onMark}>
+            {t('chat.Feedback Mark')}
+          </Button>
+        )}
+        <Button isLoading={isLoading} onClick={mutate}>
+          {t('chat.Feedback Close')}
+        </Button>
+      </ModalFooter>
+    </MyModal>
+  );
+};
+
+export default React.memo(ReadFeedbackModal);
--- a/client/src/components/ChatBox/SelectDataset.tsx
+++ b/client/src/components/ChatBox/SelectDataset.tsx
@@ -0,0 +1,117 @@
+import React, { useRef, useState } from 'react';
+import {
+  ModalBody,
+  useTheme,
+  ModalFooter,
+  Button,
+  ModalHeader,
+  Box,
+  Card,
+  Flex
+} from '@chakra-ui/react';
+import MyModal from '../MyModal';
+import { useTranslation } from 'next-i18next';
+import { useQuery } from '@tanstack/react-query';
+import { useUserStore } from '@/store/user';
+import { useToast } from '@/hooks/useToast';
+import Avatar from '../Avatar';
+import MyIcon from '@/components/Icon';
+import { useGlobalStore } from '@/store/global';
+
+const SelectDataset = ({
+  onSuccess,
+  onClose
+}: {
+  onSuccess: (kbId: string) => void;
+  onClose: () => void;
+}) => {
+  const { t } = useTranslation();
+  const theme = useTheme();
+  const { isPc } = useGlobalStore();
+  const { toast } = useToast();
+  const { myKbList, loadKbList } = useUserStore();
+  const [selectedId, setSelectedId] = useState<string>();
+
+  useQuery(['loadKbList'], loadKbList);
+
+  return (
+    <MyModal isOpen={true} onClose={onClose} w={'100%'} maxW={['90vw', '900px']} isCentered={!isPc}>
+      <Flex flexDirection={'column'} h={['90vh', 'auto']}>
+        <ModalHeader>
+          <Box>{t('chat.Select Mark Kb')}</Box>
+          <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
+            {t('chat.Select Mark Kb Desc')}
+          </Box>
+        </ModalHeader>
+        <ModalBody
+          flex={['1 0 0', '0 0 auto']}
+          maxH={'80vh'}
+          overflowY={'auto'}
+          display={'grid'}
+          gridTemplateColumns={['repeat(1,1fr)', 'repeat(2,1fr)', 'repeat(3,1fr)']}
+          gridGap={3}
+          userSelect={'none'}
+        >
+          {myKbList.map((item) =>
+            (() => {
+              const selected = selectedId === item._id;
+              return (
+                <Card
+                  key={item._id}
+                  p={3}
+                  border={theme.borders.base}
+                  boxShadow={'sm'}
+                  h={'80px'}
+                  cursor={'pointer'}
+                  _hover={{
+                    boxShadow: 'md'
+                  }}
+                  {...(selected
+                    ? {
+                        bg: 'myBlue.300'
+                      }
+                    : {})}
+                  onClick={() => {
+                    setSelectedId(item._id);
+                  }}
+                >
+                  <Flex alignItems={'center'} h={'38px'}>
+                    <Avatar src={item.avatar} w={['24px', '28px', '32px']}></Avatar>
+                    <Box ml={3} fontWeight={'bold'} fontSize={['md', 'lg', 'xl']}>
+                      {item.name}
+                    </Box>
+                  </Flex>
+                  <Flex justifyContent={'flex-end'} alignItems={'center'} fontSize={'sm'}>
+                    <MyIcon mr={1} name="kbTest" w={'12px'} />
+                    <Box color={'myGray.500'}>{item.vectorModel.name}</Box>
+                  </Flex>
+                </Card>
+              );
+            })()
+          )}
+        </ModalBody>
+        <ModalFooter>
+          <Button variant={'base'} mr={2} onClick={onClose}>
+            {t('Cancel')}
+          </Button>
+          <Button
+            onClick={() => {
+              if (!selectedId) {
+                return toast({
+                  status: 'warning',
+                  title: t('Select value is empty')
+                });
+              }
+
+              onSuccess(selectedId);
+            }}
+          >
+            {t('Confirm')}
+          </Button>
+        </ModalFooter>
+      </Flex>
+    </MyModal>
+  );
+};
+
+export default SelectDataset;
--- a/client/src/components/ChatBox/index.tsx
+++ b/client/src/components/ChatBox/index.tsx
@@ -25,7 +25,6 @@ import {
 } from '@/utils/tools';
 import { Box, Card, Flex, Input, Textarea, Button, useTheme, BoxProps } from '@chakra-ui/react';
 import { feConfigs } from '@/store/static';
-import { Types } from 'mongoose';
 import { EventNameEnum } from '../Markdown/constant';

 import { adaptChatItem_openAI } from '@/utils/plugin/openai';
@@ -41,6 +40,7 @@ import { useGlobalStore } from '@/store/global';
 import { TaskResponseKeyEnum, getDefaultChatVariables } from '@/constants/chat';
 import { useTranslation } from 'react-i18next';
 import { customAlphabet } from 'nanoid';
+import { userUpdateChatFeedback, adminUpdateChatFeedback } from '@/api/chat';

 import MyIcon from '@/components/Icon';
 import Avatar from '@/components/Avatar';
@@ -49,6 +49,10 @@ import MySelect from '@/components/Select';
 import MyTooltip from '../MyTooltip';
 import dynamic from 'next/dynamic';
 const ResponseTags = dynamic(() => import('./ResponseTags'));
+const FeedbackModal = dynamic(() => import('./FeedbackModal'));
+const ReadFeedbackModal = dynamic(() => import('./ReadFeedbackModal'));
+const SelectDataset = dynamic(() => import('./SelectDataset'));
+const InputDataModal = dynamic(() => import('@/pages/kb/detail/components/InputDataModal'));

 import styles from './index.module.scss';

@@ -124,6 +128,7 @@ const ChatAvatar = ({ src, type }: { src?: string; type: 'Human' | 'AI' }) => {

 const ChatBox = (
  {
+    isLogs = false,
    showEmptyIntro = false,
    chatId,
    appAvatar,
@@ -134,6 +139,7 @@ const ChatBox = (
    onStartChat,
    onDelMessage
  }: {
+    isLogs?: boolean;
    showEmptyIntro?: boolean;
    chatId?: string;
    appAvatar?: string;
@@ -162,6 +168,19 @@ const ChatBox = (
  const [refresh, setRefresh] = useState(false);
  const [variables, setVariables] = useState<Record<string, any>>({});
  const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
+  const [feedbackId, setFeedbackId] = useState<string>();
+  const [readFeedbackData, setReadFeedbackData] = useState<{
+    chatItemId: string;
+    content: string;
+    isMarked: boolean;
+  }>();
+  const [adminMarkData, setAdminMarkData] = useState<{
+    kbId?: string;
+    chatItemId: string;
+    dataId?: string;
+    q: string;
+    a: string;
+  }>();

  const isChatting = useMemo(
    () =>
@@ -409,7 +428,7 @@ const ChatBox = (
  const controlContainerStyle = {
    className: 'control',
    color: 'myGray.400',
-    display: ['flex', 'none'],
+    display: isLogs ? 'flex' : ['flex', 'none'],
    pl: 1,
    mt: 2
  };
@@ -643,7 +662,7 @@ const ChatBox = (
                            />
                          </MyTooltip>
                        )}
-                        {hasVoiceApi && (
+                        {!isLogs && hasVoiceApi && (
                          <MyTooltip label={'语音播报'}>
                            <MyIcon
                              {...controlIconStyle}
@@ -653,7 +672,93 @@ const ChatBox = (
                            />
                          </MyTooltip>
                        )}
+                        {/* admin mark icon */}
+                        {isLogs && (
+                          <MyTooltip label={t('chat.Mark')}>
+                            <MyIcon
+                              {...controlIconStyle}
+                              name={'markLight'}
+                              _hover={{ color: '#67c13b' }}
+                              onClick={() => {
+                                if (!item.dataId) return;
+                                if (item.adminFeedback) {
+                                  setAdminMarkData({
+                                    chatItemId: item.dataId,
+                                    kbId: item.adminFeedback.kbId,
+                                    dataId: item.adminFeedback.dataId,
+                                    q: chatHistory[index - 1]?.value || '',
+                                    a: item.adminFeedback.content
+                                  });
+                                } else {
+                                  setAdminMarkData({
+                                    chatItemId: item.dataId,
+                                    q: chatHistory[index - 1]?.value || '',
+                                    a: item.value
+                                  });
+                                }
+                              }}
+                            />
+                          </MyTooltip>
+                        )}
+                        {/* user feed back icon */}
+                        {item.dataId &&
+                          (isLogs ? (
+                            <MyTooltip label={t('chat.Read User Feedback')}>
+                              <MyIcon
+                                display={item.userFeedback ? 'block' : 'none'}
+                                {...controlIconStyle}
+                                color={'white'}
+                                bg={'#FC9663'}
+                                fontWeight={'bold'}
+                                name={'badLight'}
+                                onClick={() =>
+                                  setReadFeedbackData({
+                                    chatItemId: item.dataId || '',
+                                    content: item.userFeedback || '',
+                                    isMarked: !!item.adminFeedback
+                                  })
+                                }
+                              />
+                            </MyTooltip>
+                          ) : (
+                            <MyTooltip
+                              label={
+                                item.userFeedback
+                                  ? `取消反馈。\n您当前反馈内容为:\n${item.userFeedback}`
+                                  : '反馈'
+                              }
+                            >
+                              <MyIcon
+                                {...controlIconStyle}
+                                {...(!!item.userFeedback
+                                  ? {
+                                      color: 'white',
+                                      bg: '#FC9663',
+                                      fontWeight: 'bold',
+                                      onClick: () => {
+                                        if (!item.dataId) return;
+                                        setChatHistory((state) =>
+                                          state.map((chatItem) =>
+                                            chatItem.dataId === item.dataId
+                                              ? { ...chatItem, userFeedback: undefined }
+                                              : chatItem
+                                          )
+                                        );
+                                        try {
+                                          userUpdateChatFeedback({ chatItemId: item.dataId });
+                                        } catch (error) {}
+                                      }
+                                    }
+                                  : {
+                                      _hover: { color: '#FB7C3C' },
+                                      onClick: () => setFeedbackId(item.dataId)
+                                    })}
+                                name={'badLight'}
+                              />
+                            </MyTooltip>
+                          ))}
                      </Flex>
+                      {/* chatting status */}
                      {statusBoxData && index === chatHistory.length - 1 && (
                        <Flex
                          ml={3}
@@ -688,6 +793,19 @@ const ChatBox = (
                          contentId={item.dataId}
                          responseData={item.responseData}
                        />
+                        {/* admin mark content */}
+                        {isLogs && item.adminFeedback && (
+                          <Box>
+                            <Flex alignItems={'center'} py={2}>
+                              <MyIcon name={'markLight'} w={'14px'} color={'myGray.900'} />
+                              <Box ml={2} color={'myGray.500'}>
+                                {t('chat.Admin Mark Content')}
+                              </Box>
+                              <Box h={'1px'} bg={'myGray.300'} flex={'1'} />
+                            </Flex>
+                            <Box>{item.adminFeedback.content}</Box>
+                          </Box>
+                        )}
                      </Card>
                    </Box>
                  </>
@@ -782,6 +900,115 @@ const ChatBox = (
          </Box>
        </Box>
      ) : null}
+
+      {/* user feedback modal */}
+      {!!feedbackId && (
+        <FeedbackModal
+          chatItemId={feedbackId}
+          onClose={() => setFeedbackId(undefined)}
+          onSuccess={(content: string) => {
+            setChatHistory((state) =>
+              state.map((item) =>
+                item.dataId === feedbackId ? { ...item, userFeedback: content } : item
+              )
+            );
+            setFeedbackId(undefined);
+          }}
+        />
+      )}
+      {/* admin read feedback modal */}
+      {!!readFeedbackData && (
+        <ReadFeedbackModal
+          {...readFeedbackData}
+          onClose={() => setReadFeedbackData(undefined)}
+          onMark={() => {
+            const index = chatHistory.findIndex(
+              (item) => item.dataId === readFeedbackData.chatItemId
+            );
+            if (index === -1) return setReadFeedbackData(undefined);
+            setAdminMarkData({
+              chatItemId: readFeedbackData.chatItemId,
+              q: chatHistory[index - 1]?.value || '',
+              a: chatHistory[index]?.value || ''
+            });
+          }}
+          onSuccess={() => {
+            setChatHistory((state) =>
+              state.map((chatItem) =>
+                chatItem.dataId === readFeedbackData.chatItemId
+                  ? { ...chatItem, userFeedback: undefined }
+                  : chatItem
+              )
+            );
+            setReadFeedbackData(undefined);
+          }}
+        />
+      )}
+      {/* select one dataset to insert markData */}
+      {adminMarkData && !adminMarkData.kbId && (
+        <SelectDataset
+          onClose={() => setAdminMarkData(undefined)}
+          // @ts-ignore
+          onSuccess={(kbId) => setAdminMarkData((state) => ({ ...state, kbId }))}
+        />
+      )}
+      {/* edit markData modal */}
+      {adminMarkData && adminMarkData.kbId && (
+        <InputDataModal
+          onClose={() => setAdminMarkData(undefined)}
+          onSuccess={async (data) => {
+            if (!adminMarkData.kbId || !data.dataId) {
+              return setAdminMarkData(undefined);
+            }
+            const adminFeedback = {
+              kbId: adminMarkData.kbId,
+              dataId: data.dataId,
+              content: data.a
+            };
+
+            // update dom
+            setChatHistory((state) =>
+              state.map((chatItem) =>
+                chatItem.dataId === adminMarkData.chatItemId
+                  ? {
+                      ...chatItem,
+                      adminFeedback
+                    }
+                  : chatItem
+              )
+            );
+            // request to update adminFeedback
+            try {
+              adminUpdateChatFeedback({
+                chatItemId: adminMarkData.chatItemId,
+                ...adminFeedback
+              });
+
+              if (readFeedbackData) {
+                userUpdateChatFeedback({
+                  chatItemId: readFeedbackData.chatItemId,
+                  userFeedback: undefined
+                });
+                setChatHistory((state) =>
+                  state.map((chatItem) =>
+                    chatItem.dataId === readFeedbackData.chatItemId
+                      ? { ...chatItem, userFeedback: undefined }
+                      : chatItem
+                  )
+                );
+                setReadFeedbackData(undefined);
+              }
+            } catch (error) {}
+            setAdminMarkData(undefined);
+          }}
+          kbId={adminMarkData.kbId}
+          defaultValues={{
+            dataId: adminMarkData.dataId,
+            q: adminMarkData.q,
+            a: adminMarkData.a
+          }}
+        />
+      )}
    </Flex>
  );
 };
--- a/client/src/components/Icon/icons/light/bad.svg
+++ b/client/src/components/Icon/icons/light/bad.svg
--- a/client/src/components/Icon/icons/light/mark.svg
+++ b/client/src/components/Icon/icons/light/mark.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1693123058703" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="16328" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M875.65 912h-380a36 36 0 0 1 0-72h380a36 36 0 1 1 0 72zM812.26 284.82L285.39 811.69l-88.11 15.1L212 738l526.72-526.72 73.54 73.54m90.51-11.31L750 120.77a16 16 0 0 0-22.62 0L152.5 695.68a34.11 34.11 0 0 0-9.5 18.56l-25.95 156.23a32 32 0 0 0 37 36.78l155.38-26.62a34.2 34.2 0 0 0 18.38-9.52l575-575a16 16 0 0 0 0-22.63z" p-id="16329"></path></svg>
--- a/client/src/components/Icon/index.tsx
+++ b/client/src/components/Icon/index.tsx
@@ -77,7 +77,9 @@ const map = {
  playFill: require('./icons/fill/play.svg').default,
  courseLight: require('./icons/light/course.svg').default,
  promotionLight: require('./icons/light/promotion.svg').default,
-  logsLight: require('./icons/light/logs.svg').default
+  logsLight: require('./icons/light/logs.svg').default,
+  badLight: require('./icons/light/bad.svg').default,
+  markLight: require('./icons/light/mark.svg').default
 };

 export type IconName = keyof typeof map;
--- a/client/src/constants/flow/ModuleTemplate.ts
+++ b/client/src/constants/flow/ModuleTemplate.ts
@@ -218,7 +218,7 @@ export const KBSearchModule: FlowModuleTemplateType = {
      key: 'similarity',
      type: FlowInputItemTypeEnum.slider,
      label: '相似度',
-      value: 0.8,
+      value: 0.4,
      min: 0,
      max: 1,
      step: 0.01,
@@ -845,7 +845,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            key: 'similarity',
            type: 'slider',
            label: '相似度',
-            value: 0.8,
+            value: 0.4,
            min: 0,
            max: 1,
            step: 0.01,
--- a/client/src/constants/kb.ts
+++ b/client/src/constants/kb.ts
@@ -3,10 +3,14 @@ import type { KbItemType } from '@/types/plugin';
 export const defaultKbDetail: KbItemType = {
  _id: '',
  userId: '',
-  updateTime: new Date(),
  avatar: '/icon/logo.svg',
  name: '',
  tags: '',
-  totalData: 0,
-  model: 'text-embedding-ada-002'
+  vectorModel: {
+    model: 'text-embedding-ada-002',
+    name: 'Embedding-2',
+    price: 0.2,
+    defaultToken: 500,
+    maxToken: 3000
+  }
 };
--- a/client/src/pages/api/chat/getChatLogs.ts
+++ b/client/src/pages/api/chat/getChatLogs.ts
@@ -1,6 +1,6 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { Chat, ChatItem, connectToDatabase } from '@/service/mongo';
+import { Chat, connectToDatabase } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import type { PagingData } from '@/types';
 import { AppLogsListItemType } from '@/types/app';
@@ -30,25 +30,48 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    const [data, total] = await Promise.all([
      Chat.aggregate([
        { $match: where },
-        { $sort: { updateTime: -1 } },
-        { $skip: (pageNum - 1) * pageSize },
-        { $limit: pageSize },
        {
          $lookup: {
            from: 'chatitems',
            localField: 'chatId',
            foreignField: 'chatId',
-            as: 'messageCount'
+            as: 'chatitems'
          }
        },
+        {
+          $addFields: {
+            feedbackCount: {
+              $size: {
+                $filter: {
+                  input: '$chatitems',
+                  as: 'item',
+                  cond: { $ifNull: ['$$item.userFeedback', false] }
+                }
+              }
+            },
+            markCount: {
+              $size: {
+                $filter: {
+                  input: '$chatitems',
+                  as: 'item',
+                  cond: { $ifNull: ['$$item.adminFeedback', false] }
+                }
+              }
+            }
+          }
+        },
+        { $sort: { feedbackCount: -1, updateTime: -1 } },
+        { $skip: (pageNum - 1) * pageSize },
+        { $limit: pageSize },
        {
          $project: {
            id: '$chatId',
            title: 1,
            source: 1,
            time: '$updateTime',
-            messageCount: { $size: '$messageCount' },
-            callbackCount: { $literal: 0 }
+            messageCount: { $size: '$chatitems' },
+            feedbackCount: 1,
+            markCount: 1
          }
        }
      ]),
--- a/client/src/pages/api/chat/feedback/adminUpdate.ts
+++ b/client/src/pages/api/chat/feedback/adminUpdate.ts
@@ -0,0 +1,40 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ChatItem } from '@/service/mongo';
+import { AdminUpdateFeedbackParams } from '@/api/request/chat';
+import { authUser } from '@/service/utils/auth';
+
+/* 初始化我的聊天框，需要身份验证 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    await connectToDatabase();
+    const { chatItemId, kbId, dataId, content = undefined } = req.body as AdminUpdateFeedbackParams;
+
+    if (!chatItemId || !kbId || !dataId || !content) {
+      throw new Error('missing parameter');
+    }
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    await ChatItem.findOneAndUpdate(
+      {
+        userId,
+        dataId: chatItemId
+      },
+      {
+        adminFeedback: {
+          kbId,
+          dataId,
+          content
+        }
+      }
+    );
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/chat/feedback/userUpdate.ts
+++ b/client/src/pages/api/chat/feedback/userUpdate.ts
@@ -0,0 +1,34 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ChatItem } from '@/service/mongo';
+
+/* 初始化我的聊天框，需要身份验证 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    await connectToDatabase();
+    const { chatItemId, userFeedback = undefined } = req.body as {
+      chatItemId: string;
+      userFeedback?: string;
+    };
+
+    if (!chatItemId) {
+      throw new Error('chatItemId is required');
+    }
+
+    await ChatItem.findOneAndUpdate(
+      {
+        dataId: chatItemId
+      },
+      {
+        ...(userFeedback ? { userFeedback } : { $unset: { userFeedback: '' } })
+      }
+    );
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
--- a/client/src/pages/api/chat/init.ts
+++ b/client/src/pages/api/chat/init.ts
@@ -54,7 +54,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
                chatId,
                userId
              },
-              `dataId obj value ${TaskResponseKeyEnum.responseData}`
+              `dataId obj value adminFeedback userFeedback ${TaskResponseKeyEnum.responseData}`
            )
              .sort({ _id: -1 })
              .limit(30)
--- a/client/src/pages/api/openapi/kb/pushData.ts
+++ b/client/src/pages/api/openapi/kb/pushData.ts
@@ -1,6 +1,6 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, TrainingData } from '@/service/mongo';
+import { connectToDatabase, TrainingData, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { authKb } from '@/service/utils/auth';
 import { withNextCors } from '@/service/utils/tools';
@@ -14,7 +14,6 @@ export type DateItemType = { a: string; q: string; source?: string };
 export type Props = {
  kbId: string;
  data: DateItemType[];
-  model: string;
  mode: `${TrainingModeEnum}`;
  prompt?: string;
 };
@@ -30,23 +29,12 @@ const modeMaxToken = {

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { kbId, data, mode, prompt, model } = req.body as Props;
+    const { kbId, data, mode, prompt } = req.body as Props;

-    if (!kbId || !Array.isArray(data) || !model) {
+    if (!kbId || !Array.isArray(data)) {
      throw new Error('缺少参数');
    }

-    // auth model
-    if (mode === TrainingModeEnum.qa && !global.qaModels.find((item) => item.model === model)) {
-      throw new Error('不支持的 QA 拆分模型');
-    }
-    if (
-      mode === TrainingModeEnum.index &&
-      !global.vectorModels.find((item) => item.model === model)
-    ) {
-      throw new Error('不支持的向量生成模型');
-    }
-
    await connectToDatabase();

    // 凭证校验
@@ -58,8 +46,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        data,
        userId,
        mode,
-        prompt,
-        model
+        prompt
      })
    });
  } catch (err) {
@@ -75,8 +62,7 @@ export async function pushDataToKb({
  kbId,
  data,
  mode,
-  prompt,
-  model
+  prompt
 }: { userId: string } & Props): Promise<Response> {
  await authKb({
    userId,
@@ -152,17 +138,24 @@ export async function pushDataToKb({
    .filter((item) => item.status === 'fulfilled')
    .map<DateItemType>((item: any) => item.value);

+  const vectorModel = await (async () => {
+    if (mode === TrainingModeEnum.index) {
+      return (await KB.findById(kbId, 'vectorModel'))?.vectorModel || global.vectorModels[0].model;
+    }
+    return global.vectorModels[0].model;
+  })();
+
  // 插入记录
  await TrainingData.insertMany(
    insertData.map((item) => ({
      q: item.q,
      a: item.a,
-      model,
      source: item.source,
      userId,
      kbId,
      mode,
-      prompt
+      prompt,
+      vectorModel
    }))
  );

--- a/client/src/pages/api/openapi/kb/searchTest.ts
+++ b/client/src/pages/api/openapi/kb/searchTest.ts
@@ -6,9 +6,9 @@ import { withNextCors } from '@/service/utils/tools';
 import { getVector } from '../plugin/vector';
 import type { KbTestItemType } from '@/types/plugin';
 import { PgTrainingTableName } from '@/constants/plugin';
+import { KB } from '@/service/mongo';

 export type Props = {
-  model: string;
  kbId: string;
  text: string;
 };
@@ -16,21 +16,24 @@ export type Response = KbTestItemType['results'];

 export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { kbId, text, model } = req.body as Props;
+    const { kbId, text } = req.body as Props;

-    if (!kbId || !text || !model) {
+    if (!kbId || !text) {
      throw new Error('缺少参数');
    }

    // 凭证校验
-    const { userId } = await authUser({ req });
+    const [{ userId }, kb] = await Promise.all([
+      authUser({ req }),
+      KB.findById(kbId, 'vectorModel')
+    ]);

-    if (!userId) {
+    if (!userId || !kb) {
      throw new Error('缺少用户ID');
    }

    const { vectors } = await getVector({
-      model,
+      model: kb.vectorModel,
      userId,
      input: [text]
    });
--- a/client/src/pages/api/openapi/kb/updateData.ts
+++ b/client/src/pages/api/openapi/kb/updateData.ts
@@ -24,11 +24,11 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex

    await connectToDatabase();

-    // 凭证校验
-    const { userId } = await authUser({ req });
-
-    // find model
-    const kb = await KB.findById(kbId, 'model');
+    // auth user and get kb
+    const [{ userId }, kb] = await Promise.all([
+      authUser({ req }),
+      KB.findById(kbId, 'vectorModel')
+    ]);

    if (!kb) {
      throw new Error("Can't find database");
@@ -40,7 +40,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
        return getVector({
          userId,
          input: [q],
-          model: kb.model
+          model: kb.vectorModel
        });
      }
      return { vectors: [[]] };
--- a/client/src/pages/api/plugins/kb/create.ts
+++ b/client/src/pages/api/plugins/kb/create.ts
@@ -2,15 +2,13 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
+import type { CreateKbParams } from '@/api/request/kb';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
-    const { name, tags } = req.body as {
-      name: string;
-      tags: string[];
-    };
+    const { name, tags, avatar, vectorModel } = req.body as CreateKbParams;

-    if (!name) {
+    if (!name || !vectorModel) {
      throw new Error('缺少参数');
    }

@@ -22,7 +20,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
    const { _id } = await KB.create({
      name,
      userId,
-      tags
+      tags,
+      vectorModel,
+      avatar
    });

    jsonRes(res, { data: _id });
--- a/client/src/pages/api/plugins/kb/data/insertData.ts
+++ b/client/src/pages/api/plugins/kb/data/insertData.ts
@@ -0,0 +1,88 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, KB } from '@/service/mongo';
+import { authKb, authUser } from '@/service/utils/auth';
+import { withNextCors } from '@/service/utils/tools';
+import { PgTrainingTableName } from '@/constants/plugin';
+import { insertKbItem, PgClient } from '@/service/pg';
+import { modelToolMap } from '@/utils/plugin';
+import { getVectorModel } from '@/service/utils/data';
+import { getVector } from '@/pages/api/openapi/plugin/vector';
+
+export type Props = {
+  kbId: string;
+  data: { a: string; q: string; source?: string };
+};
+
+export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    await connectToDatabase();
+
+    const { kbId, data = { q: '', a: '' } } = req.body as Props;
+
+    if (!kbId || !data?.q) {
+      throw new Error('缺少参数');
+    }
+
+    // 凭证校验
+    const { userId } = await authUser({ req });
+
+    // auth kb
+    const kb = await authKb({ kbId, userId });
+
+    const q = data?.q?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
+    const a = data?.a?.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
+
+    // token check
+    const token = modelToolMap.countTokens({
+      model: 'gpt-3.5-turbo',
+      messages: [{ obj: 'System', value: q }]
+    });
+
+    if (token > getVectorModel(kb.vectorModel).maxToken) {
+      throw new Error('Over Tokens');
+    }
+
+    const { rows: existsRows } = await PgClient.query(`
+    SELECT COUNT(*) > 0 AS exists
+    FROM  ${PgTrainingTableName} 
+    WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
+  `);
+    const exists = existsRows[0]?.exists || false;
+
+    if (exists) {
+      throw new Error('已经存在完全一致的数据');
+    }
+
+    const { vectors } = await getVector({
+      model: kb.vectorModel,
+      input: [q],
+      userId
+    });
+
+    const response = await insertKbItem({
+      userId,
+      kbId,
+      data: [
+        {
+          q,
+          a,
+          source: data.source,
+          vector: vectors[0]
+        }
+      ]
+    });
+
+    // @ts-ignore
+    const id = response?.rows?.[0]?.id || '';
+
+    jsonRes(res, {
+      data: id
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+});
--- a/client/src/pages/api/plugins/kb/detail.ts
+++ b/client/src/pages/api/plugins/kb/detail.ts
@@ -2,6 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
+import { getVectorModel } from '@/service/utils/data';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -33,7 +34,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
        avatar: data.avatar,
        name: data.name,
        userId: data.userId,
-        model: data.model,
+        vectorModel: getVectorModel(data.vectorModel),
        tags: data.tags.join(' ')
      }
    });
--- a/client/src/pages/api/plugins/kb/list.ts
+++ b/client/src/pages/api/plugins/kb/list.ts
@@ -3,6 +3,7 @@ import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
 import { KbListItemType } from '@/types/plugin';
+import { getVectorModel } from '@/service/utils/data';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
@@ -15,7 +16,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
      {
        userId
      },
-      '_id avatar name tags'
+      '_id avatar name tags vectorModel'
    ).sort({ updateTime: -1 });

    const data = await Promise.all(
@@ -23,7 +24,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
        _id: item._id,
        avatar: item.avatar,
        name: item.name,
-        tags: item.tags
+        tags: item.tags,
+        vectorModel: getVectorModel(item.vectorModel)
      }))
    );

--- a/client/src/pages/api/plugins/kb/update.ts
+++ b/client/src/pages/api/plugins/kb/update.ts
@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, KB } from '@/service/mongo';
 import { authUser } from '@/service/utils/auth';
-import type { KbUpdateParams } from '@/api/plugins/kb';
+import type { KbUpdateParams } from '@/api/request/kb';

 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
  try {
--- a/client/src/pages/api/system/getInitData.ts
+++ b/client/src/pages/api/system/getInitData.ts
@@ -10,7 +10,7 @@ import {

 export type InitDateResponse = {
  chatModels: ChatModelItemType[];
-  qaModels: QAModelItemType[];
+  qaModel: QAModelItemType;
  vectorModels: VectorModelItemType[];
  feConfigs: FeConfigsType;
 };
@@ -23,7 +23,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
    data: {
      feConfigs: global.feConfigs,
      chatModels: global.chatModels,
-      qaModels: global.qaModels,
+      qaModel: global.qaModel,
      vectorModels: global.vectorModels
    }
  });
@@ -69,19 +69,20 @@ const defaultChatModels = [
    price: 0
  }
 ];
-const defaultQAModels = [
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'GPT35-16k',
-    maxToken: 16000,
-    price: 0
-  }
-];
-const defaultVectorModels = [
+const defaultQAModel = {
+  model: 'gpt-3.5-turbo-16k',
+  name: 'GPT35-16k',
+  maxToken: 16000,
+  price: 0
+};
+
+const defaultVectorModels: VectorModelItemType[] = [
  {
    model: 'text-embedding-ada-002',
    name: 'Embedding-2',
-    price: 0
+    price: 0,
+    defaultToken: 500,
+    maxToken: 3000
  }
 ];

@@ -95,7 +96,7 @@ export async function getInitConfig() {
    global.systemEnv = res.SystemParams || defaultSystemEnv;
    global.feConfigs = res.FeConfig || defaultFeConfigs;
    global.chatModels = res.ChatModels || defaultChatModels;
-    global.qaModels = res.QAModels || defaultQAModels;
+    global.qaModel = res.QAModel || defaultQAModel;
    global.vectorModels = res.VectorModels || defaultVectorModels;
  } catch (error) {
    setDefaultData();
@@ -107,6 +108,6 @@ export function setDefaultData() {
  global.systemEnv = defaultSystemEnv;
  global.feConfigs = defaultFeConfigs;
  global.chatModels = defaultChatModels;
-  global.qaModels = defaultQAModels;
+  global.qaModel = defaultQAModel;
  global.vectorModels = defaultVectorModels;
 }
--- a/client/src/pages/api/user/account/gitLogin.ts
+++ b/client/src/pages/api/user/account/gitLogin.ts
@@ -100,9 +100,8 @@ export async function registerUser({
    username,
    avatar,
    password: nanoid(),
-    inviterId
+    inviterId: inviterId ? inviterId : undefined
  });
-  console.log(response, '-=-=-=');

  // 根据 id 获取用户信息
  const user = await User.findById(response._id);
--- a/client/src/pages/app/detail/components/BasicEdit/index.tsx
+++ b/client/src/pages/app/detail/components/BasicEdit/index.tsx
@@ -542,7 +542,10 @@ const Settings = ({ appId }: { appId: string }) => {
      {isOpenKbSelect && (
        <KBSelectModal
          kbList={myKbList}
-          activeKbs={selectedKbList.map((item) => ({ kbId: item._id }))}
+          activeKbs={selectedKbList.map((item) => ({
+            kbId: item._id,
+            vectorModel: item.vectorModel
+          }))}
          onClose={onCloseKbSelect}
          onChange={replaceKbList}
        />
--- a/client/src/pages/app/detail/components/KBSelectModal.tsx
+++ b/client/src/pages/app/detail/components/KBSelectModal.tsx
@@ -16,9 +16,11 @@ import { useForm } from 'react-hook-form';
 import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import type { SelectedKbType } from '@/types/plugin';
 import { useGlobalStore } from '@/store/global';
+import { useToast } from '@/hooks/useToast';
 import MySlider from '@/components/Slider';
 import MyTooltip from '@/components/MyTooltip';
 import MyModal from '@/components/MyModal';
+import MyIcon from '@/components/Icon';

 export type KbParamsType = {
  searchSimilarity: number;
@@ -40,6 +42,7 @@ export const KBSelectModal = ({
  const theme = useTheme();
  const [selectedKbList, setSelectedKbList] = useState<SelectedKbType>(activeKbs);
  const { isPc } = useGlobalStore();
+  const { toast } = useToast();

  return (
    <MyModal
@@ -50,7 +53,13 @@ export const KBSelectModal = ({
      onClose={onClose}
    >
      <Flex flexDirection={'column'} h={['90vh', 'auto']}>
-        <ModalHeader>关联的知识库({selectedKbList.length})</ModalHeader>
+        <ModalHeader>
+          <Box>关联的知识库({selectedKbList.length})</Box>
+          <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
+            仅能选择同一个索引模型的知识库
+          </Box>
+        </ModalHeader>
+
        <ModalBody
          flex={['1 0 0', '0 0 auto']}
          maxH={'80vh'}
@@ -58,6 +67,7 @@ export const KBSelectModal = ({
          display={'grid'}
          gridTemplateColumns={['repeat(1,1fr)', 'repeat(2,1fr)', 'repeat(3,1fr)']}
          gridGap={3}
+          userSelect={'none'}
        >
          {kbList.map((item) =>
            (() => {
@@ -84,7 +94,18 @@ export const KBSelectModal = ({
                    if (selected) {
                      setSelectedKbList((state) => state.filter((kb) => kb.kbId !== item._id));
                    } else {
-                      setSelectedKbList((state) => [...state, { kbId: item._id }]);
+                      const vectorModel = selectedKbList[0]?.vectorModel?.model;
+
+                      if (vectorModel && vectorModel !== item.vectorModel.model) {
+                        return toast({
+                          status: 'warning',
+                          title: '仅能选择同一个索引模型的知识库'
+                        });
+                      }
+                      setSelectedKbList((state) => [
+                        ...state,
+                        { kbId: item._id, vectorModel: item.vectorModel }
+                      ]);
                    }
                  }}
                >
@@ -94,6 +115,10 @@ export const KBSelectModal = ({
                      {item.name}
                    </Box>
                  </Flex>
+                  <Flex justifyContent={'flex-end'} alignItems={'center'} fontSize={'sm'}>
+                    <MyIcon mr={1} name="kbTest" w={'12px'} />
+                    <Box color={'myGray.500'}>{item.vectorModel.name}</Box>
+                  </Flex>
                </Card>
              );
            })()
@@ -138,7 +163,10 @@ export const KbParamsModal = ({
          <Box display={['block', 'flex']} py={5} pt={[0, 5]}>
            <Box flex={'0 0 100px'} mb={[8, 0]}>
              相似度
-              <MyTooltip label={'高相似度推荐0.8及以上。'} forceShow>
+              <MyTooltip
+                label={'不同索引模型的相似度有区别，请通过搜索测试来选择合适的数值'}
+                forceShow
+              >
                <QuestionOutlineIcon ml={1} />
              </MyTooltip>
            </Box>
--- a/client/src/pages/app/detail/components/Logs.tsx
+++ b/client/src/pages/app/detail/components/Logs.tsx
@@ -9,7 +9,9 @@ import {
  Th,
  Td,
  Tbody,
-  useTheme
+  useTheme,
+  useDisclosure,
+  ModalBody
 } from '@chakra-ui/react';
 import MyIcon from '@/components/Icon';
 import { useTranslation } from 'next-i18next';
@@ -24,11 +26,18 @@ import ChatBox, { type ComponentRef } from '@/components/ChatBox';
 import { useQuery } from '@tanstack/react-query';
 import { getInitChatSiteInfo } from '@/api/chat';
 import Tag from '@/components/Tag';
+import MyModal from '@/components/MyModal';

 const Logs = ({ appId }: { appId: string }) => {
  const { t } = useTranslation();
  const { isPc } = useGlobalStore();

+  const {
+    isOpen: isOpenMarkDesc,
+    onOpen: onOpenMarkDesc,
+    onClose: onCloseMarkDesc
+  } = useDisclosure();
+
  const {
    data: logs,
    isLoading,
@@ -54,7 +63,16 @@ const Logs = ({ appId }: { appId: string }) => {
              {t('app.Chat logs')}
            </Box>
            <Box color={'myGray.500'} fontSize={'sm'}>
-              {t('app.Chat Logs Tips')}
+              {t('app.Chat Logs Tips')},{' '}
+              <Box
+                as={'span'}
+                mr={2}
+                textDecoration={'underline'}
+                cursor={'pointer'}
+                onClick={onOpenMarkDesc}
+              >
+                {t('chat.Read Mark Description')}
+              </Box>
            </Box>
          </>
        )}
@@ -69,6 +87,8 @@ const Logs = ({ appId }: { appId: string }) => {
              <Th>{t('app.Logs Time')}</Th>
              <Th>{t('app.Logs Title')}</Th>
              <Th>{t('app.Logs Message Total')}</Th>
+              <Th>{t('app.Feedback Count')}</Th>
+              <Th>{t('app.Mark Count')}</Th>
            </Tr>
          </Thead>
          <Tbody>
@@ -86,6 +106,27 @@ const Logs = ({ appId }: { appId: string }) => {
                  {item.title}
                </Td>
                <Td>{item.messageCount}</Td>
+                <Td w={'100px'}>
+                  {!!item?.feedbackCount ? (
+                    <Box display={'inline-block'}>
+                      <Flex
+                        bg={'#FFF2EC'}
+                        color={'#C96330'}
+                        px={3}
+                        py={1}
+                        alignItems={'center'}
+                        borderRadius={'lg'}
+                        fontWeight={'bold'}
+                      >
+                        <MyIcon mr={1} name={'badLight'} color={'#C96330'} w={'14px'} />
+                        {item.feedbackCount}
+                      </Flex>
+                    </Box>
+                  ) : (
+                    <>-</>
+                  )}
+                </Td>
+                <Td>{item.markCount}</Td>
              </Tr>
            ))}
          </Tbody>
@@ -109,6 +150,13 @@ const Logs = ({ appId }: { appId: string }) => {
          onClose={() => setDetailLogsId(undefined)}
        />
      )}
+      <MyModal
+        isOpen={isOpenMarkDesc}
+        onClose={onCloseMarkDesc}
+        title={t('chat.Mark Description Title')}
+      >
+        <ModalBody whiteSpace={'pre-wrap'}>{t('chat.Mark Description')}</ModalBody>
+      </MyModal>
    </Flex>
  );
 };
@@ -222,6 +270,7 @@ function DetailLogsModal({
        <Box pt={2} flex={'1 0 0'}>
          <ChatBox
            ref={ChatBoxRef}
+            isLogs
            chatId={chatId}
            appAvatar={chat?.app.avatar}
            userAvatar={HUMAN_ICON}
--- a/client/src/pages/app/list/component/CreateModal.tsx
+++ b/client/src/pages/app/list/component/CreateModal.tsx
@@ -101,8 +101,8 @@ const CreateModal = ({ onClose, onSuccess }: { onClose: () => void; onSuccess: (
            <Avatar
              flexShrink={0}
              src={getValues('avatar')}
-              w={['32px', '36px']}
-              h={['32px', '36px']}
+              w={['28px', '32px']}
+              h={['28px', '32px']}
              cursor={'pointer'}
              borderRadius={'md'}
              onClick={onOpenSelectFile}
--- a/client/src/pages/kb/detail/components/Import/Chunk.tsx
+++ b/client/src/pages/kb/detail/components/Import/Chunk.tsx
@@ -19,7 +19,6 @@ import { postKbDataFromList } from '@/api/plugins/kb';
 import { splitText2Chunks } from '@/utils/file';
 import { getErrText } from '@/utils/tools';
 import { formatPrice } from '@/utils/user';
-import { vectorModelList } from '@/store/static';
 import MyIcon from '@/components/Icon';
 import CloseIcon from '@/components/Icon/close';
 import DeleteIcon, { hoverDeleteStyles } from '@/components/Icon/delete';
@@ -27,17 +26,20 @@ import MyTooltip from '@/components/MyTooltip';
 import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { TrainingModeEnum } from '@/constants/plugin';
 import FileSelect, { type FileItemType } from './FileSelect';
+import { useUserStore } from '@/store/user';

 const fileExtension = '.txt, .doc, .docx, .pdf, .md';

 const ChunkImport = ({ kbId }: { kbId: string }) => {
-  const model = vectorModelList[0]?.model || 'text-embedding-ada-002';
-  const unitPrice = vectorModelList[0]?.price || 0.2;
+  const { kbDetail } = useUserStore();
+
+  const vectorModel = kbDetail.vectorModel;
+  const unitPrice = vectorModel?.price || 0.2;
  const theme = useTheme();
  const router = useRouter();
  const { toast } = useToast();

-  const [chunkLen, setChunkLen] = useState(500);
+  const [chunkLen, setChunkLen] = useState(vectorModel?.defaultToken || 300);
  const [showRePreview, setShowRePreview] = useState(false);
  const [files, setFiles] = useState<FileItemType[]>([]);
  const [previewFile, setPreviewFile] = useState<FileItemType>();
@@ -68,7 +70,6 @@ const ChunkImport = ({ kbId }: { kbId: string }) => {
      for (let i = 0; i < chunks.length; i += step) {
        const { insertLen } = await postKbDataFromList({
          kbId,
-          model,
          data: chunks.slice(i, i + step),
          mode: TrainingModeEnum.index
        });
@@ -206,24 +207,34 @@ const ChunkImport = ({ kbId }: { kbId: string }) => {
                  <QuestionOutlineIcon ml={1} />
                </MyTooltip>
              </Box>
-              <NumberInput
-                ml={4}
+              <Box
                flex={1}
-                defaultValue={chunkLen}
-                min={300}
-                max={2000}
-                step={10}
-                onChange={(e) => {
-                  setChunkLen(+e);
-                  setShowRePreview(true);
+                css={{
+                  '& > span': {
+                    display: 'block'
+                  }
                }}
              >
-                <NumberInputField />
-                <NumberInputStepper>
-                  <NumberIncrementStepper />
-                  <NumberDecrementStepper />
-                </NumberInputStepper>
-              </NumberInput>
+                <MyTooltip label={`范围: 100~${kbDetail.vectorModel.maxToken}`}>
+                  <NumberInput
+                    ml={4}
+                    defaultValue={chunkLen}
+                    min={100}
+                    max={kbDetail.vectorModel.maxToken}
+                    step={10}
+                    onChange={(e) => {
+                      setChunkLen(+e);
+                      setShowRePreview(true);
+                    }}
+                  >
+                    <NumberInputField />
+                    <NumberInputStepper>
+                      <NumberIncrementStepper />
+                      <NumberDecrementStepper />
+                    </NumberInputStepper>
+                  </NumberInput>
+                </MyTooltip>
+              </Box>
            </Flex>
            {/* price */}
            <Flex py={5} alignItems={'center'}>
--- a/client/src/pages/kb/detail/components/Import/Csv.tsx
+++ b/client/src/pages/kb/detail/components/Import/Csv.tsx
@@ -11,11 +11,14 @@ import DeleteIcon, { hoverDeleteStyles } from '@/components/Icon/delete';
 import { TrainingModeEnum } from '@/constants/plugin';
 import FileSelect, { type FileItemType } from './FileSelect';
 import { useRouter } from 'next/router';
+import { useUserStore } from '@/store/user';

 const fileExtension = '.csv';

 const CsvImport = ({ kbId }: { kbId: string }) => {
-  const model = vectorModelList[0]?.model;
+  const { kbDetail } = useUserStore();
+  const maxToken = kbDetail.vectorModel?.maxToken || 2000;
+
  const theme = useTheme();
  const router = useRouter();
  const { toast } = useToast();
@@ -35,16 +38,27 @@ const CsvImport = ({ kbId }: { kbId: string }) => {

  const { mutate: onclickUpload, isLoading: uploading } = useMutation({
    mutationFn: async () => {
-      const chunks = files.map((file) => file.chunks).flat();
+      const chunks = files
+        .map((file) => file.chunks)
+        .flat()
+        .filter((item) => item?.q);
+
+      const filterChunks = chunks.filter((item) => item.q.length < maxToken);
+
+      if (filterChunks.length !== chunks.length) {
+        toast({
+          title: `${chunks.length - filterChunks.length}条数据超出长度，已被过滤`,
+          status: 'info'
+        });
+      }

      // subsection import
      let success = 0;
      const step = 500;
-      for (let i = 0; i < chunks.length; i += step) {
+      for (let i = 0; i < filterChunks.length; i += step) {
        const { insertLen } = await postKbDataFromList({
          kbId,
-          model,
-          data: chunks.slice(i, i + step),
+          data: filterChunks.slice(i, i + step),
          mode: TrainingModeEnum.index
        });

--- a/client/src/pages/kb/detail/components/Import/Manual.tsx
+++ b/client/src/pages/kb/detail/components/Import/Manual.tsx
@@ -1,21 +1,26 @@
-import React, { useCallback, useState } from 'react';
-import { Box, type BoxProps, Flex, Textarea, useTheme, Button } from '@chakra-ui/react';
-import MyRadio from '@/components/Radio/index';
+import React, { useState } from 'react';
+import { Box, Textarea, Button, Flex } from '@chakra-ui/react';
 import { useForm } from 'react-hook-form';
 import { useToast } from '@/hooks/useToast';
 import { useRequest } from '@/hooks/useRequest';
 import { getErrText } from '@/utils/tools';
-import { vectorModelList } from '@/store/static';
 import { postKbDataFromList } from '@/api/plugins/kb';
 import { TrainingModeEnum } from '@/constants/plugin';
+import { useUserStore } from '@/store/user';
+import MyTooltip from '@/components/MyTooltip';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';

 type ManualFormType = { q: string; a: string };

 const ManualImport = ({ kbId }: { kbId: string }) => {
+  const { kbDetail } = useUserStore();
+  const maxToken = kbDetail.vectorModel?.maxToken || 2000;
+
  const { register, handleSubmit, reset } = useForm({
    defaultValues: { q: '', a: '' }
  });
  const { toast } = useToast();
+  const [qLen, setQLen] = useState(0);

  const { mutate: onImportData, isLoading } = useRequest({
    mutationFn: async (e: ManualFormType) => {
@@ -35,7 +40,6 @@ const ManualImport = ({ kbId }: { kbId: string }) => {
        };
        const { insertLen } = await postKbDataFromList({
          kbId,
-          model: vectorModelList[0].model,
          mode: TrainingModeEnum.index,
          data: [data]
        });
@@ -67,19 +71,37 @@ const ManualImport = ({ kbId }: { kbId: string }) => {
  return (
    <Box p={[4, 8]} h={'100%'} overflow={'overlay'}>
      <Box display={'flex'} flexDirection={['column', 'row']}>
-        <Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
-          <Box h={'30px'}>{'匹配的知识点'}</Box>
+        <Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']} position={'relative'}>
+          <Flex>
+            <Box h={'30px'}>{'匹配的知识点'}</Box>
+            <MyTooltip label={'被向量化的部分，通常是问题，也可以是一段陈述描述'}>
+              <QuestionOutlineIcon ml={1} />
+            </MyTooltip>
+          </Flex>
          <Textarea
-            placeholder={'匹配的知识点。这部分内容会被搜索，请把控内容的质量。总和最多 3000 字。'}
-            maxLength={3000}
+            placeholder={`匹配的知识点。这部分内容会被搜索，请把控内容的质量。最多 ${maxToken} 字。`}
+            maxLength={maxToken}
            h={['250px', '500px']}
            {...register(`q`, {
-              required: true
+              required: true,
+              onChange(e) {
+                setQLen(e.target.value.length);
+              }
            })}
          />
+          <Box position={'absolute'} color={'myGray.500'} right={5} bottom={3} zIndex={99}>
+            {qLen}
+          </Box>
        </Box>
        <Box flex={1} h={['50%', '100%']}>
-          <Box h={'30px'}>补充知识</Box>
+          <Flex>
+            <Box h={'30px'}>{'补充知识'}</Box>
+            <MyTooltip
+              label={'匹配的知识点被命中后，这部分内容会随匹配知识点一起注入模型，引导模型回答'}
+            >
+              <QuestionOutlineIcon ml={1} />
+            </MyTooltip>
+          </Flex>
          <Textarea
            placeholder={
              '补充知识。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，你可以讲一些细节的内容填写在这里。总和最多 3000 字。'
--- a/client/src/pages/kb/detail/components/Import/QA.tsx
+++ b/client/src/pages/kb/detail/components/Import/QA.tsx
@@ -7,7 +7,7 @@ import { postKbDataFromList } from '@/api/plugins/kb';
 import { splitText2Chunks } from '@/utils/file';
 import { getErrText } from '@/utils/tools';
 import { formatPrice } from '@/utils/user';
-import { qaModelList } from '@/store/static';
+import { qaModel } from '@/store/static';
 import MyIcon from '@/components/Icon';
 import CloseIcon from '@/components/Icon/close';
 import DeleteIcon, { hoverDeleteStyles } from '@/components/Icon/delete';
@@ -20,9 +20,8 @@ import { useRouter } from 'next/router';
 const fileExtension = '.txt, .doc, .docx, .pdf, .md';

 const QAImport = ({ kbId }: { kbId: string }) => {
-  const model = qaModelList[0]?.model;
-  const unitPrice = qaModelList[0]?.price || 3;
-  const chunkLen = qaModelList[0].maxToken * 0.45;
+  const unitPrice = qaModel.price || 3;
+  const chunkLen = qaModel.maxToken * 0.45;
  const theme = useTheme();
  const router = useRouter();
  const { toast } = useToast();
@@ -58,7 +57,6 @@ const QAImport = ({ kbId }: { kbId: string }) => {
      for (let i = 0; i < chunks.length; i += step) {
        const { insertLen } = await postKbDataFromList({
          kbId,
-          model,
          data: chunks.slice(i, i + step),
          mode: TrainingModeEnum.qa,
          prompt: prompt || '下面是一段长文本'
@@ -189,20 +187,20 @@ const QAImport = ({ kbId }: { kbId: string }) => {
              <Box mb={2}>
                QA 拆分引导词{' '}
                <MyTooltip
-                  label={`可输入关于文件内容的范围介绍，例如:\n1. 关于 Laf 的介绍\n2. xxx的简历`}
+                  label={`可输入关于文件内容的范围介绍，例如:\n1. Laf 的介绍\n2. xxx的简历\n最终会补全为: 关于{输入的内容}`}
                  forceShow
                >
                  <QuestionOutlineIcon ml={1} />
                </MyTooltip>
              </Box>
              <Flex alignItems={'center'} fontSize={'sm'}>
-                <Box mr={2}>下面是</Box>
+                <Box mr={2}>关于</Box>
                <Input
                  flex={1}
                  placeholder={'Laf 云函数的介绍'}
                  bg={'myWhite.500'}
                  defaultValue={prompt}
-                  onBlur={(e) => (e.target.value ? setPrompt(`下面是"${e.target.value}"`) : '')}
+                  onBlur={(e) => (e.target.value ? setPrompt(`关于"${e.target.value}"`) : '')}
                />
              </Flex>
            </Box>
--- a/client/src/pages/kb/detail/components/Info.tsx
+++ b/client/src/pages/kb/detail/components/Info.tsx
@@ -7,7 +7,7 @@ import React, {
  ForwardedRef
 } from 'react';
 import { useRouter } from 'next/router';
-import { Box, Flex, Button, FormControl, IconButton, Input, Card } from '@chakra-ui/react';
+import { Box, Flex, Button, FormControl, IconButton, Input } from '@chakra-ui/react';
 import { QuestionOutlineIcon, DeleteIcon } from '@chakra-ui/icons';
 import { delKbById, putKbById } from '@/api/plugins/kb';
 import { useSelectFile } from '@/hooks/useSelectFile';
@@ -17,8 +17,6 @@ import { useConfirm } from '@/hooks/useConfirm';
 import { UseFormReturn } from 'react-hook-form';
 import { compressImg } from '@/utils/file';
 import type { KbItemType } from '@/types/plugin';
-import { vectorModelList } from '@/store/static';
-import MySelect from '@/components/Select';
 import Avatar from '@/components/Avatar';
 import Tag from '@/components/Tag';
 import MyTooltip from '@/components/MyTooltip';
@@ -138,7 +136,6 @@ const Info = (

  useImperativeHandle(ref, () => ({
    initInput: (tags: string) => {
-      console.log(tags);
      if (InputRef.current) {
        InputRef.current.value = tags;
      }
@@ -153,20 +150,27 @@ const Info = (
        </Box>
        <Box flex={1}>{kbDetail._id}</Box>
      </Flex>
+      <Flex mt={8} w={'100%'} alignItems={'center'}>
+        <Box flex={['0 0 90px', '0 0 160px']} w={0}>
+          索引模型
+        </Box>
+        <Box flex={[1, '0 0 300px']}>{getValues('vectorModel').name}</Box>
+      </Flex>
      <Flex mt={5} w={'100%'} alignItems={'center'}>
        <Box flex={['0 0 90px', '0 0 160px']} w={0}>
          知识库头像
        </Box>
        <Box flex={[1, '0 0 300px']}>
-          <Avatar
-            m={'auto'}
-            src={getValues('avatar')}
-            w={['32px', '40px']}
-            h={['32px', '40px']}
-            cursor={'pointer'}
-            title={'点击切换头像'}
-            onClick={onOpenSelectFile}
-          />
+          <MyTooltip label={'点击切换头像'}>
+            <Avatar
+              m={'auto'}
+              src={getValues('avatar')}
+              w={['32px', '40px']}
+              h={['32px', '40px']}
+              cursor={'pointer'}
+              onClick={onOpenSelectFile}
+            />
+          </MyTooltip>
        </Box>
      </Flex>
      <FormControl mt={8} w={'100%'} display={'flex'} alignItems={'center'}>
@@ -180,27 +184,9 @@ const Info = (
          })}
        />
      </FormControl>
-      <Flex mt={8} w={'100%'} alignItems={'center'}>
-        <Box flex={['0 0 90px', '0 0 160px']} w={0}>
-          索引模型
-        </Box>
-        <Box flex={[1, '0 0 300px']}>
-          <MySelect
-            w={'100%'}
-            value={getValues('model')}
-            list={vectorModelList.map((item) => ({
-              label: item.name,
-              value: item.model
-            }))}
-            onchange={(res) => {
-              setValue('model', res);
-            }}
-          />
-        </Box>
-      </Flex>
      <Flex mt={8} alignItems={'center'} w={'100%'} flexWrap={'wrap'}>
        <Box flex={['0 0 90px', '0 0 160px']} w={0}>
-          分类标签
+          标签
          <MyTooltip label={'用空格隔开多个标签，便于搜索'} forceShow>
            <QuestionOutlineIcon ml={1} />
          </MyTooltip>
@@ -208,6 +194,7 @@ const Info = (
        <Input
          flex={[1, '0 0 300px']}
          ref={InputRef}
+          defaultValue={getValues('tags')}
          placeholder={'标签,使用空格分割。'}
          maxLength={30}
          onChange={(e) => {
@@ -226,7 +213,6 @@ const Info = (
            ))}
        </Flex>
      </Flex>
-
      <Flex mt={5} w={'100%'} alignItems={'flex-end'}>
        <Box flex={['0 0 90px', '0 0 160px']} w={0}></Box>
        <Button
--- a/client/src/pages/kb/detail/components/InputDataModal.tsx
+++ b/client/src/pages/kb/detail/components/InputDataModal.tsx
@@ -1,15 +1,17 @@
 import React, { useState, useCallback } from 'react';
 import { Box, Flex, Button, Textarea, IconButton } from '@chakra-ui/react';
 import { useForm } from 'react-hook-form';
-import { postKbDataFromList, putKbDataById, delOneKbDataByDataId } from '@/api/plugins/kb';
+import { insertData2Kb, putKbDataById, delOneKbDataByDataId } from '@/api/plugins/kb';
 import { useToast } from '@/hooks/useToast';
-import { TrainingModeEnum } from '@/constants/plugin';
 import { getErrText } from '@/utils/tools';
-import { vectorModelList } from '@/store/static';
 import MyIcon from '@/components/Icon';
 import MyModal from '@/components/MyModal';
+import MyTooltip from '@/components/MyTooltip';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';
+import { useUserStore } from '@/store/user';
+import { useQuery } from '@tanstack/react-query';

-export type FormData = { dataId?: string; a: string; q: string };
+export type FormData = { dataId?: string; a: string; q: string; source?: string };

 const InputDataModal = ({
  onClose,
@@ -30,16 +32,20 @@ const InputDataModal = ({
  const [loading, setLoading] = useState(false);
  const { toast } = useToast();

+  const { kbDetail, getKbDetail } = useUserStore();
+
  const { register, handleSubmit, reset } = useForm<FormData>({
    defaultValues
  });

+  const maxToken = kbDetail.vectorModel?.maxToken || 2000;
+
  /**
   * 确认导入新数据
   */
  const sureImportData = useCallback(
    async (e: FormData) => {
-      if (e.a.length + e.q.length >= 3000) {
+      if (e.q.length >= maxToken) {
        toast({
          title: '总长度超长了',
          status: 'warning'
@@ -50,32 +56,24 @@ const InputDataModal = ({

      try {
        const data = {
+          dataId: '',
          a: e.a,
          q: e.q,
          source: '手动录入'
        };
-        const { insertLen } = await postKbDataFromList({
+        data.dataId = await insertData2Kb({
          kbId,
-          model: vectorModelList[0].model,
-          mode: TrainingModeEnum.index,
-          data: [data]
+          data
        });

-        if (insertLen === 0) {
-          toast({
-            title: '已存在完全一致的数据',
-            status: 'warning'
-          });
-        } else {
-          toast({
-            title: '导入数据成功,需要一段时间训练',
-            status: 'success'
-          });
-          reset({
-            a: '',
-            q: ''
-          });
-        }
+        toast({
+          title: '导入数据成功,需要一段时间训练',
+          status: 'success'
+        });
+        reset({
+          a: '',
+          q: ''
+        });

        onSuccess(data);
      } catch (err: any) {
@@ -86,7 +84,7 @@ const InputDataModal = ({
      }
      setLoading(false);
    },
-    [kbId, onSuccess, reset, toast]
+    [kbId, maxToken, onSuccess, reset, toast]
  );

  const updateData = useCallback(
@@ -122,6 +120,11 @@ const InputDataModal = ({
    [defaultValues.a, defaultValues.q, kbId, onClose, onSuccess, toast]
  );

+  useQuery(['getKbDetail'], () => {
+    if (kbDetail._id === kbId) return null;
+    return getKbDetail(kbId);
+  });
+
  return (
    <MyModal
      isOpen={true}
@@ -143,10 +146,15 @@ const InputDataModal = ({
          pb={2}
        >
          <Box flex={1} mr={[0, 4]} mb={[4, 0]} h={['50%', '100%']}>
-            <Box h={'30px'}>{'匹配的知识点'}</Box>
+            <Flex>
+              <Box h={'30px'}>{'匹配的知识点'}</Box>
+              <MyTooltip label={'被向量化的部分，通常是问题，也可以是一段陈述描述'}>
+                <QuestionOutlineIcon ml={1} />
+              </MyTooltip>
+            </Flex>
            <Textarea
-              placeholder={'匹配的知识点。这部分内容会被搜索，请把控内容的质量。总和最多 3000 字。'}
-              maxLength={3000}
+              placeholder={`匹配的知识点。这部分内容会被搜索，请把控内容的质量，最多 ${maxToken} 字。`}
+              maxLength={maxToken}
              resize={'none'}
              h={'calc(100% - 30px)'}
              {...register(`q`, {
@@ -155,7 +163,14 @@ const InputDataModal = ({
            />
          </Box>
          <Box flex={1} h={['50%', '100%']}>
-            <Box h={'30px'}>补充知识</Box>
+            <Flex>
+              <Box h={'30px'}>{'补充知识'}</Box>
+              <MyTooltip
+                label={'匹配的知识点被命中后，这部分内容会随匹配知识点一起注入模型，引导模型回答'}
+              >
+                <QuestionOutlineIcon ml={1} />
+              </MyTooltip>
+            </Flex>
            <Textarea
              placeholder={
                '补充知识。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，你可以讲一些细节的内容填写在这里。总和最多 3000 字。'
--- a/client/src/pages/kb/detail/components/Test.tsx
+++ b/client/src/pages/kb/detail/components/Test.tsx
@@ -10,13 +10,15 @@ import InputDataModal, { type FormData } from './InputDataModal';
 import { useGlobalStore } from '@/store/global';
 import { getErrText } from '@/utils/tools';
 import { useToast } from '@/hooks/useToast';
-import { vectorModelList } from '@/store/static';
 import { customAlphabet } from 'nanoid';
 import MyTooltip from '@/components/MyTooltip';
 import { QuestionOutlineIcon } from '@chakra-ui/icons';
+import { useUserStore } from '@/store/user';
 const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);

 const Test = ({ kbId }: { kbId: string }) => {
+  const { kbDetail } = useUserStore();
+
  const theme = useTheme();
  const { toast } = useToast();
  const { setLoading } = useGlobalStore();
@@ -31,7 +33,7 @@ const Test = ({ kbId }: { kbId: string }) => {
  );

  const { mutate, isLoading } = useRequest({
-    mutationFn: () => searchText({ model: vectorModelList[0].model, kbId, text: inputText.trim() }),
+    mutationFn: () => searchText({ kbId, text: inputText.trim() }),
    onSuccess(res) {
      const testItem = {
        id: nanoid(),
@@ -75,12 +77,15 @@ const Test = ({ kbId }: { kbId: string }) => {
            rows={6}
            resize={'none'}
            variant={'unstyled'}
-            maxLength={1000}
+            maxLength={kbDetail.vectorModel.maxToken}
            placeholder="输入需要测试的文本"
            value={inputText}
            onChange={(e) => setInputText(e.target.value)}
          />
-          <Flex justifyContent={'flex-end'}>
+          <Flex alignItems={'center'} justifyContent={'flex-end'}>
+            <Box mr={3} color={'myGray.500'}>
+              {inputText.length}
+            </Box>
            <Button isDisabled={inputText === ''} isLoading={isLoading} onClick={mutate}>
              测试
            </Button>
@@ -177,6 +182,7 @@ const Test = ({ kbId }: { kbId: string }) => {
                'repeat(1,1fr)',
                'repeat(1,1fr)',
                'repeat(1,1fr)',
+                'repeat(1,1fr)',
                'repeat(2,1fr)'
              ]}
              gridGap={4}
--- a/client/src/pages/kb/detail/index.tsx
+++ b/client/src/pages/kb/detail/index.tsx
@@ -1,4 +1,4 @@
-import React, { useCallback, useMemo, useRef } from 'react';
+import React, { useCallback, useRef } from 'react';
 import { useRouter } from 'next/router';
 import { Box, Flex, IconButton, useTheme } from '@chakra-ui/react';
 import { useToast } from '@/hooks/useToast';
@@ -71,8 +71,8 @@ const Detail = ({ kbId, currentTab }: { kbId: string; currentTab: `${TabEnum}` }

  useQuery([kbId], () => getKbDetail(kbId), {
    onSuccess(res) {
-      InfoRef.current?.initInput(res.tags);
      form.reset(res);
+      InfoRef.current?.initInput(res.tags);
    },
    onError(err: any) {
      router.replace(`/kb/list`);
@@ -165,12 +165,14 @@ const Detail = ({ kbId, currentTab }: { kbId: string; currentTab: `${TabEnum}` }
          </Box>
        )}

-        <Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
-          {currentTab === TabEnum.data && <DataCard kbId={kbId} />}
-          {currentTab === TabEnum.import && <ImportData kbId={kbId} />}
-          {currentTab === TabEnum.test && <Test kbId={kbId} />}
-          {currentTab === TabEnum.info && <Info ref={InfoRef} kbId={kbId} form={form} />}
-        </Box>
+        {!!kbDetail._id && (
+          <Box flex={'1 0 0'} h={'100%'} pb={[4, 0]}>
+            {currentTab === TabEnum.data && <DataCard kbId={kbId} />}
+            {currentTab === TabEnum.import && <ImportData kbId={kbId} />}
+            {currentTab === TabEnum.test && <Test kbId={kbId} />}
+            {currentTab === TabEnum.info && <Info ref={InfoRef} kbId={kbId} form={form} />}
+          </Box>
+        )}
      </Box>
    </PageContainer>
  );
--- a/client/src/pages/kb/list/component/CreateModal.tsx
+++ b/client/src/pages/kb/list/component/CreateModal.tsx
@@ -0,0 +1,165 @@
+import React, { useCallback, useState, useRef } from 'react';
+import { Box, Flex, Button, ModalHeader, ModalFooter, ModalBody, Input } from '@chakra-ui/react';
+import { useSelectFile } from '@/hooks/useSelectFile';
+import { useForm } from 'react-hook-form';
+import { compressImg } from '@/utils/file';
+import { getErrText } from '@/utils/tools';
+import { useToast } from '@/hooks/useToast';
+import { useRouter } from 'next/router';
+import { useGlobalStore } from '@/store/global';
+import { useRequest } from '@/hooks/useRequest';
+import Avatar from '@/components/Avatar';
+import MyTooltip from '@/components/MyTooltip';
+import MyModal from '@/components/MyModal';
+import { postCreateKb } from '@/api/plugins/kb';
+import type { CreateKbParams } from '@/api/request/kb';
+import { vectorModelList } from '@/store/static';
+import MySelect from '@/components/Select';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';
+import Tag from '@/components/Tag';
+
+const CreateModal = ({ onClose }: { onClose: () => void }) => {
+  const [refresh, setRefresh] = useState(false);
+  const { toast } = useToast();
+  const router = useRouter();
+  const { isPc } = useGlobalStore();
+  const { register, setValue, getValues, handleSubmit } = useForm<CreateKbParams>({
+    defaultValues: {
+      avatar: '/icon/logo.svg',
+      name: '',
+      tags: [],
+      vectorModel: vectorModelList[0].model
+    }
+  });
+  const InputRef = useRef<HTMLInputElement>(null);
+
+  const { File, onOpen: onOpenSelectFile } = useSelectFile({
+    fileType: '.jpg,.png',
+    multiple: false
+  });
+
+  const onSelectFile = useCallback(
+    async (e: File[]) => {
+      const file = e[0];
+      if (!file) return;
+      try {
+        const src = await compressImg({
+          file,
+          maxW: 100,
+          maxH: 100
+        });
+        setValue('avatar', src);
+        setRefresh((state) => !state);
+      } catch (err: any) {
+        toast({
+          title: getErrText(err, '头像选择异常'),
+          status: 'warning'
+        });
+      }
+    },
+    [setValue, toast]
+  );
+
+  /* create a new kb and router to it */
+  const { mutate: onclickCreate, isLoading: creating } = useRequest({
+    mutationFn: async (data: CreateKbParams) => {
+      const id = await postCreateKb(data);
+      return id;
+    },
+    successToast: '创建成功',
+    errorToast: '创建知识库出现意外',
+    onSuccess(id) {
+      router.push(`/kb/detail?kbId=${id}`);
+    }
+  });
+
+  return (
+    <MyModal isOpen onClose={onClose} isCentered={!isPc} w={'400px'}>
+      <ModalHeader fontSize={'2xl'}>创建一个知识库</ModalHeader>
+      <ModalBody>
+        <Box color={'myGray.800'} fontWeight={'bold'}>
+          取个名字
+        </Box>
+        <Flex mt={3} alignItems={'center'}>
+          <MyTooltip label={'点击设置头像'}>
+            <Avatar
+              flexShrink={0}
+              src={getValues('avatar')}
+              w={['28px', '32px']}
+              h={['28px', '32px']}
+              cursor={'pointer'}
+              borderRadius={'md'}
+              onClick={onOpenSelectFile}
+            />
+          </MyTooltip>
+          <Input
+            ml={3}
+            flex={1}
+            autoFocus
+            bg={'myWhite.600'}
+            {...register('name', {
+              required: '知识库名称不能为空~'
+            })}
+          />
+        </Flex>
+        <Flex mt={6} alignItems={'center'}>
+          <Box flex={'0 0 80px'}>索引模型</Box>
+          <Box flex={1}>
+            <MySelect
+              w={'100%'}
+              value={getValues('vectorModel')}
+              list={vectorModelList.map((item) => ({
+                label: item.name,
+                value: item.model
+              }))}
+              onchange={(e) => {
+                setValue('vectorModel', e);
+                setRefresh((state) => !state);
+              }}
+            />
+          </Box>
+        </Flex>
+        <Flex mt={6} alignItems={'center'} w={'100%'}>
+          <Box flex={'0 0 80px'}>
+            标签
+            <MyTooltip label={'用空格隔开多个标签，便于搜索'} forceShow>
+              <QuestionOutlineIcon ml={1} />
+            </MyTooltip>
+          </Box>
+          <Input
+            flex={1}
+            ref={InputRef}
+            placeholder={'标签,使用空格分割。'}
+            maxLength={30}
+            onChange={(e) => {
+              setValue('tags', e.target.value.split(' '));
+              setRefresh(!refresh);
+            }}
+          />
+        </Flex>
+        <Flex mt={2} flexWrap={'wrap'}>
+          {getValues('tags')
+            .filter((item) => item)
+            .map((item, i) => (
+              <Tag mr={2} mb={2} key={i} whiteSpace={'nowrap'}>
+                {item}
+              </Tag>
+            ))}
+        </Flex>
+      </ModalBody>
+
+      <ModalFooter>
+        <Button variant={'base'} mr={3} onClick={onClose}>
+          取消
+        </Button>
+        <Button isLoading={creating} onClick={handleSubmit((data) => onclickCreate(data))}>
+          确认创建
+        </Button>
+      </ModalFooter>
+
+      <File onSelect={onSelectFile} />
+    </MyModal>
+  );
+};
+
+export default CreateModal;
--- a/client/src/pages/kb/list/index.tsx
+++ b/client/src/pages/kb/list/index.tsx
@@ -1,5 +1,14 @@
 import React, { useCallback } from 'react';
-import { Box, Card, Flex, Grid, useTheme, Button, IconButton } from '@chakra-ui/react';
+import {
+  Box,
+  Card,
+  Flex,
+  Grid,
+  useTheme,
+  Button,
+  IconButton,
+  useDisclosure
+} from '@chakra-ui/react';
 import { useRouter } from 'next/router';
 import { useUserStore } from '@/store/user';
 import PageContainer from '@/components/PageContainer';
@@ -7,12 +16,14 @@ import { useConfirm } from '@/hooks/useConfirm';
 import { AddIcon } from '@chakra-ui/icons';
 import { useQuery } from '@tanstack/react-query';
 import { useToast } from '@/hooks/useToast';
-import { delKbById, postCreateKb } from '@/api/plugins/kb';
-import { useRequest } from '@/hooks/useRequest';
+import { delKbById } from '@/api/plugins/kb';
 import Avatar from '@/components/Avatar';
 import MyIcon from '@/components/Icon';
 import Tag from '@/components/Tag';
 import { serviceSideProps } from '@/utils/i18n';
+import dynamic from 'next/dynamic';
+
+const CreateModal = dynamic(() => import('./component/CreateModal'), { ssr: false });

 const Kb = () => {
  const theme = useTheme();
@@ -24,7 +35,13 @@ const Kb = () => {
  });
  const { myKbList, loadKbList, setKbList } = useUserStore();

-  useQuery(['loadKbList'], () => loadKbList());
+  const {
+    isOpen: isOpenCreateModal,
+    onOpen: onOpenCreateModal,
+    onClose: onCloseCreateModal
+  } = useDisclosure();
+
+  const { refetch } = useQuery(['loadKbList'], () => loadKbList());

  /* 点击删除 */
  const onclickDelKb = useCallback(
@@ -46,32 +63,13 @@ const Kb = () => {
    [toast, setKbList, myKbList]
  );

-  /* create a new kb and router to it */
-  const { mutate: onclickCreate, isLoading } = useRequest({
-    mutationFn: async () => {
-      const name = `知识库${myKbList.length + 1}`;
-      const id = await postCreateKb({ name });
-      return id;
-    },
-    successToast: '创建成功',
-    errorToast: '创建知识库出现意外',
-    onSuccess(id) {
-      router.push(`/kb/detail?kbId=${id}`);
-    }
-  });
-
  return (
    <PageContainer>
      <Flex pt={3} px={5} alignItems={'center'}>
        <Box flex={1} className="textlg" letterSpacing={1} fontSize={'24px'} fontWeight={'bold'}>
          我的知识库
        </Box>
-        <Button
-          isLoading={isLoading}
-          leftIcon={<AddIcon />}
-          variant={'base'}
-          onClick={onclickCreate}
-        >
+        <Button leftIcon={<AddIcon />} variant={'base'} onClick={onOpenCreateModal}>
          新建
        </Button>
      </Flex>
@@ -141,6 +139,10 @@ const Kb = () => {
                ))}
              </Flex>
            </Box>
+            <Flex justifyContent={'flex-end'} alignItems={'center'} fontSize={'sm'}>
+              <MyIcon mr={1} name="kbTest" w={'12px'} />
+              <Box color={'myGray.500'}>{kb.vectorModel.name}</Box>
+            </Flex>
          </Card>
        ))}
      </Grid>
@@ -153,6 +155,7 @@ const Kb = () => {
        </Flex>
      )}
      <ConfirmModal />
+      {isOpenCreateModal && <CreateModal onClose={onCloseCreateModal} />}
    </PageContainer>
  );
 };
--- a/client/src/pages/login/components/RegisterForm.tsx
+++ b/client/src/pages/login/components/RegisterForm.tsx
@@ -57,7 +57,7 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
            username,
            code,
            password,
-            inviterId: localStorage.getItem('inviterId') || ''
+            inviterId: localStorage.getItem('inviterId') || undefined
          })
        );
        toast({
--- a/client/src/pages/login/provider.tsx
+++ b/client/src/pages/login/provider.tsx
@@ -46,7 +46,7 @@ const provider = ({ code }: { code: string }) => {
        if (loginStore.provider === 'git') {
          return gitLogin({
            code,
-            inviterId: localStorage.getItem('inviterId') || ''
+            inviterId: localStorage.getItem('inviterId') || undefined
          });
        }
        return null;
--- a/client/src/service/events/generateQA.ts
+++ b/client/src/service/events/generateQA.ts
@@ -1,5 +1,5 @@
 import { TrainingData } from '@/service/mongo';
-import { pushSplitDataBill } from '@/service/events/pushBill';
+import { pushQABill } from '@/service/events/pushBill';
 import { pushDataToKb } from '@/pages/api/openapi/kb/pushData';
 import { TrainingModeEnum } from '@/constants/plugin';
 import { ERROR_ENUM } from '../errorCode';
@@ -60,19 +60,18 @@ export async function generateQA(): Promise<any> {
    // 请求 chatgpt 获取回答
    const response = await Promise.all(
      [data.q].map((text) => {
-        const modelTokenLimit =
-          chatModels.find((item) => item.model === data.model)?.contextMaxToken || 16000;
+        const modelTokenLimit = global.qaModel.maxToken || 16000;
        const messages: ChatCompletionRequestMessage[] = [
          {
            role: 'system',
-            content: `你是出题人.
-${data.prompt || '我会发送一段长文本'}.
-从中提取出 25 个问题和答案. 答案详细完整. 按下面格式返回: 
+            content: `我会给你发送一段长文本，${
+              data.prompt ? `是${data.prompt}，` : ''
+            }请学习它，并用 markdown 格式给出 25 个问题和答案，问题可以多样化、自由扩展；答案要详细、解读到位，答案包含普通文本、链接、代码、表格、公示、媒体链接等。按下面 QA 问答格式返回: 
 Q1:
 A1:
 Q2:
 A2:
-...`
+……`
          },
          {
            role: 'user',
@@ -88,7 +87,7 @@ A2:
        return chatAPI
          .createChatCompletion(
            {
-              model: data.model,
+              model: global.qaModel.model,
              temperature: 0.8,
              messages,
              stream: false,
@@ -106,12 +105,12 @@ A2:
            const result = formatSplitText(answer || ''); // 格式化后的QA对
            console.log(`split result length: `, result.length);
            // 计费
-            pushSplitDataBill({
-              userId: data.userId,
-              totalTokens,
-              model: data.model,
-              appName: 'QA 拆分'
-            });
+            result.length > 0 &&
+              pushQABill({
+                userId: data.userId,
+                totalTokens,
+                appName: 'QA 拆分'
+              });
            return {
              rawContent: answer,
              result
@@ -135,7 +134,6 @@ A2:
        source: data.source
      })),
      userId,
-      model: global.vectorModels[0].model,
      mode: TrainingModeEnum.index
    });

--- a/client/src/service/events/generateVector.ts
+++ b/client/src/service/events/generateVector.ts
@@ -1,4 +1,3 @@
-import { openaiAccountError } from '../errorCode';
 import { insertKbItem } from '@/service/pg';
 import { getVector } from '@/pages/api/openapi/plugin/vector';
 import { TrainingData } from '../models/trainingData';
@@ -38,7 +37,7 @@ export async function generateVector(): Promise<any> {
      q: 1,
      a: 1,
      source: 1,
-      model: 1
+      vectorModel: 1
    });

    // task preemption
@@ -54,14 +53,14 @@ export async function generateVector(): Promise<any> {

    dataItems = [
      {
-        q: data.q,
-        a: data.a
+        q: data.q.replace(/[\x00-\x1F]/g, ' '),
+        a: data.a.replace(/[\x00-\x1F]/g, ' ')
      }
    ];

    // 生成词向量
    const { vectors } = await getVector({
-      model: data.model,
+      model: data.vectorModel,
      input: dataItems.map((item) => item.q),
      userId
    });
@@ -110,28 +109,30 @@ export async function generateVector(): Promise<any> {

    // err vector data
    if (err?.code === 500) {
-      await TrainingData.findByIdAndRemove(trainingId);
+      await TrainingData.findByIdAndDelete(trainingId);
      return generateVector();
    }

    // 账号余额不足，删除任务
    if (userId && err === ERROR_ENUM.insufficientQuota) {
-      sendInform({
-        type: 'system',
-        title: '索引生成任务中止',
-        content:
-          '由于账号余额不足，索引生成任务中止，重新充值后将会继续。暂停的任务将在 7 天后被删除。',
-        userId
-      });
-      console.log('余额不足，暂停向量生成任务');
-      await TrainingData.updateMany(
-        {
+      try {
+        sendInform({
+          type: 'system',
+          title: '索引生成任务中止',
+          content:
+            '由于账号余额不足，索引生成任务中止，重新充值后将会继续。暂停的任务将在 7 天后被删除。',
          userId
-        },
-        {
-          lockTime: new Date('2999/5/5')
-        }
-      );
+        });
+        console.log('余额不足，暂停向量生成任务');
+        await TrainingData.updateMany(
+          {
+            userId
+          },
+          {
+            lockTime: new Date('2999/5/5')
+          }
+        );
+      } catch (error) {}
      return generateVector();
    }

--- a/client/src/service/events/pushBill.ts
+++ b/client/src/service/events/pushBill.ts
@@ -76,13 +76,11 @@ export const updateShareChatBill = async ({
  }
 };

-export const pushSplitDataBill = async ({
+export const pushQABill = async ({
  userId,
  totalTokens,
-  model,
  appName
 }: {
-  model: string;
  userId: string;
  totalTokens: number;
  appName: string;
@@ -95,7 +93,7 @@ export const pushSplitDataBill = async ({
    await connectToDatabase();

    // 获取模型单价格, 都是用 gpt35 拆分
-    const unitPrice = global.chatModels.find((item) => item.model === model)?.price || 3;
+    const unitPrice = global.qaModel.price || 3;
    // 计算价格
    const total = unitPrice * totalTokens;

--- a/client/src/service/models/app.ts
+++ b/client/src/service/models/app.ts
@@ -65,7 +65,7 @@ const AppSchema = new Schema({
    },
    searchSimilarity: {
      type: Number,
-      default: 0.8
+      default: 0.4
    },
    searchLimit: {
      type: Number,
--- a/client/src/service/models/chatItem.ts
+++ b/client/src/service/models/chatItem.ts
@@ -37,6 +37,16 @@ const ChatItemSchema = new Schema({
    type: String,
    default: ''
  },
+  userFeedback: {
+    type: String
+  },
+  adminFeedback: {
+    type: {
+      kbId: String,
+      dataId: String,
+      content: String
+    }
+  },
  [TaskResponseKeyEnum.responseData]: {
    type: [
      {
@@ -65,6 +75,7 @@ try {
  ChatItemSchema.index({ userId: 1 });
  ChatItemSchema.index({ appId: 1 });
  ChatItemSchema.index({ chatId: 1 });
+  ChatItemSchema.index({ userFeedback: 1 });
 } catch (error) {
  console.log(error);
 }
--- a/client/src/service/models/kb.ts
+++ b/client/src/service/models/kb.ts
@@ -19,7 +19,7 @@ const kbSchema = new Schema({
    type: String,
    required: true
  },
-  model: {
+  vectorModel: {
    type: String,
    required: true,
    default: 'text-embedding-ada-002'
--- a/client/src/service/models/trainingData.ts
+++ b/client/src/service/models/trainingData.ts
@@ -28,9 +28,10 @@ const TrainingDataSchema = new Schema({
    enum: Object.keys(TrainingTypeMap),
    required: true
  },
-  model: {
+  vectorModel: {
    type: String,
-    required: true
+    required: true,
+    default: 'text-embedding-ada-002'
  },
  prompt: {
    // qa split prompt
--- a/client/src/service/moduleDispatch/chat/oneapi.ts
+++ b/client/src/service/moduleDispatch/chat/oneapi.ts
@@ -181,7 +181,7 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
      tokens: totalTokens,
      question: userChatInput,
      answer: answerText,
-      maxToken,
+      maxToken: max_tokens,
      quoteList: filterQuoteQA,
      completeMessages
    },
@@ -211,8 +211,10 @@ function filterQuote({
  const quotePrompt =
    filterQuoteQA.length > 0
      ? `"""${filterQuoteQA
-          .map((item) => (item.a ? `${item.q}\n${item.a}` : item.q))
-          .join('\n\n')}"""`
+          .map((item) =>
+            item.a ? `{instruction:"${item.q}",output:"${item.a}"}` : `{instruction:"${item.q}"}`
+          )
+          .join('\n')}"""`
      : '';

  return {
@@ -236,12 +238,15 @@ function getChatMessages({
  model: ChatModelItemType;
 }) {
  const limitText = (() => {
-    if (limitPrompt)
-      return `Use the provided content delimited by triple quotes to answer questions.${limitPrompt}`;
-    if (quotePrompt && !limitPrompt) {
-      return `Use the provided content delimited by triple quotes to answer questions.Your task is to answer the question using only the provided content. If the content does not contain the information needed to answer this question then simply write: "你的问题没有在知识库中体现".`;
+    if (!quotePrompt) {
+      return limitPrompt;
    }
-    return ``;
+    const defaultPrompt =
+      '三引号是我提供给你的专属知识，它们拥有最高优先级。instruction 是相关介绍，output 是预期回答，使用引用内容来回答我下面的问题。';
+    if (limitPrompt) {
+      return `${defaultPrompt}${limitPrompt}`;
+    }
+    return `${defaultPrompt}\n回答内容限制：你仅回答三引号中提及的内容，下面我提出的问题与引用内容无关时，你可以直接回复: "你的问题没有在知识库中体现"`;
  })();

  const messages: ChatItemType[] = [
@@ -261,6 +266,7 @@ function getChatMessages({
          }
        ]
      : []),
+    ...history,
    ...(limitText
      ? [
          {
@@ -269,7 +275,6 @@ function getChatMessages({
          }
        ]
      : []),
-    ...history,
    {
      obj: ChatRoleEnum.Human,
      value: userChatInput
--- a/client/src/service/moduleDispatch/kb/search.ts
+++ b/client/src/service/moduleDispatch/kb/search.ts
@@ -1,5 +1,5 @@
 import { PgClient } from '@/service/pg';
-import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
+import type { ChatHistoryItemResType } from '@/types/chat';
 import { ChatModuleEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getVector } from '@/pages/api/openapi/plugin/vector';
 import { countModelPrice } from '@/service/events/pushBill';
@@ -21,7 +21,7 @@ export type KBSearchResponse = {
 };

 export async function dispatchKBSearch(props: Record<string, any>): Promise<KBSearchResponse> {
-  const { kbList = [], similarity = 0.8, limit = 5, userChatInput } = props as KBSearchProps;
+  const { kbList = [], similarity = 0.4, limit = 5, userChatInput } = props as KBSearchProps;

  if (kbList.length === 0) {
    return Promise.reject("You didn't choose the knowledge base");
@@ -32,7 +32,7 @@ export async function dispatchKBSearch(props: Record<string, any>): Promise<KBSe
  }

  // get vector
-  const vectorModel = global.vectorModels[0];
+  const vectorModel = kbList[0]?.vectorModel || global.vectorModels[0];
  const { vectors, tokenLen } = await getVector({
    model: vectorModel.model,
    input: [userChatInput]
--- a/client/src/service/pg.ts
+++ b/client/src/service/pg.ts
@@ -142,7 +142,9 @@ class Pg {
    }

    const fields = props.values[0].map((item) => item.key).join(',');
-    const sql = `INSERT INTO ${table} (${fields}) VALUES ${this.getInsertValStr(props.values)} `;
+    const sql = `INSERT INTO ${table} (${fields}) VALUES ${this.getInsertValStr(
+      props.values
+    )} RETURNING id`;
    const pg = await connectPg();
    return pg.query(sql);
  }
--- a/client/src/service/utils/data.ts
+++ b/client/src/service/utils/data.ts
@@ -2,13 +2,17 @@ export const getChatModel = (model?: string) => {
  return global.chatModels.find((item) => item.model === model);
 };
 export const getVectorModel = (model?: string) => {
-  return global.vectorModels.find((item) => item.model === model);
-};
-export const getQAModel = (model?: string) => {
-  return global.qaModels.find((item) => item.model === model);
-};
-export const getModel = (model?: string) => {
-  return [...global.chatModels, ...global.vectorModels, ...global.qaModels].find(
-    (item) => item.model === model
+  return (
+    global.vectorModels.find((item) => item.model === model) || {
+      model: 'UnKnow',
+      name: 'UnKnow',
+      defaultToken: 500,
+      price: 0,
+      maxToken: 3000
+    }
  );
 };
+
+export const getModel = (model?: string) => {
+  return [...global.chatModels, ...global.vectorModels].find((item) => item.model === model);
+};
--- a/client/src/service/utils/tools.ts
+++ b/client/src/service/utils/tools.ts
@@ -92,9 +92,9 @@ export const sseResponse = ({
 /* add logger */
 export const addLog = {
  info: (msg: string, obj?: Record<string, any>) => {
-    global.logger.info(msg, { meta: obj });
+    global.logger?.info(msg, { meta: obj });
  },
  error: (msg: string, obj?: Record<string, any>) => {
-    global.logger.error(msg, { meta: obj });
+    global.logger?.error(msg, { meta: obj });
  }
 };
--- a/client/src/store/static.ts
+++ b/client/src/store/static.ts
@@ -9,7 +9,12 @@ import { delay } from '@/utils/tools';
 import { FeConfigsType } from '@/types';

 export let chatModelList: ChatModelItemType[] = [];
-export let qaModelList: QAModelItemType[] = [];
+export let qaModel: QAModelItemType = {
+  model: 'gpt-3.5-turbo-16k',
+  name: 'GPT35-16k',
+  maxToken: 16000,
+  price: 0
+};
 export let vectorModelList: VectorModelItemType[] = [];
 export let feConfigs: FeConfigsType = {};

@@ -20,7 +25,7 @@ export const clientInitData = async (): Promise<InitDateResponse> => {
    const res = await getInitData();

    chatModelList = res.chatModels;
-    qaModelList = res.qaModels;
+    qaModel = res.qaModel;
    vectorModelList = res.vectorModels;
    feConfigs = res.feConfigs;

--- a/client/src/types/app.d.ts
+++ b/client/src/types/app.d.ts
@@ -114,5 +114,6 @@ export type AppLogsListItemType = {
  time: Date;
  title: string;
  messageCount: number;
-  callbackCount: number;
+  feedbackCount: number;
+  markCount: number;
 };
--- a/client/src/types/chat.d.ts
+++ b/client/src/types/chat.d.ts
@@ -2,6 +2,7 @@ import { ChatRoleEnum } from '@/constants/chat';
 import type { InitChatResponse, InitShareChatResponse } from '@/api/response/chat';
 import { TaskResponseKeyEnum } from '@/constants/chat';
 import { ClassifyQuestionAgentItemType } from './app';
+import { ChatItemSchema } from './mongoSchema';

 export type ExportChatType = 'md' | 'pdf' | 'html';

@@ -9,6 +10,8 @@ export type ChatItemType = {
  dataId?: string;
  obj: `${ChatRoleEnum}`;
  value: string;
+  userFeedback?: string;
+  adminFeedback?: ChatItemSchema['adminFeedback'];
  [TaskResponseKeyEnum.responseData]?: ChatHistoryItemResType[];
 };

--- a/client/src/types/index.d.ts
+++ b/client/src/types/index.d.ts
@@ -51,7 +51,7 @@ declare global {
  var feConfigs: FeConfigsType;
  var systemEnv: SystemEnvType;
  var chatModels: ChatModelItemType[];
-  var qaModels: QAModelItemType[];
+  var qaModel: QAModelItemType;
  var vectorModels: VectorModelItemType[];

  interface Window {
--- a/client/src/types/model.d.ts
+++ b/client/src/types/model.d.ts
@@ -17,5 +17,7 @@ export type QAModelItemType = {
 export type VectorModelItemType = {
  model: string;
  name: string;
+  defaultToken: number;
  price: number;
+  maxToken: number;
 };
--- a/client/src/types/mongoSchema.d.ts
+++ b/client/src/types/mongoSchema.d.ts
@@ -72,7 +72,7 @@ export interface TrainingDataSchema {
  kbId: string;
  expireAt: Date;
  lockTime: Date;
-  model: string;
+  vectorModel: string;
  mode: `${TrainingModeEnum}`;
  prompt: string;
  q: string;
@@ -102,6 +102,12 @@ export interface ChatItemSchema extends ChatItemType {
  userId: string;
  appId: string;
  time: Date;
+  userFeedback?: string;
+  adminFeedback?: {
+    kbId: string;
+    dataId: string;
+    content: string;
+  };
 }

 export type BillListItemType = {
@@ -135,7 +141,7 @@ export interface OpenApiSchema {
  userId: string;
  createTime: Date;
  lastUsedTime?: Date;
-  apiKey: String;
+  apiKey: string;
 }

 export interface PromotionRecordSchema {
@@ -164,7 +170,7 @@ export interface kbSchema {
  updateTime: Date;
  avatar: string;
  name: string;
-  model: string;
+  vectorModel: string;
  tags: string[];
 }

--- a/client/src/types/plugin.d.ts
+++ b/client/src/types/plugin.d.ts
@@ -1,16 +1,22 @@
+import { VectorModelItemType } from './model';
 import type { kbSchema } from './mongoSchema';

-export type SelectedKbType = { kbId: string }[];
+export type SelectedKbType = { kbId: string; vectorModel: VectorModelItemType }[];

 export type KbListItemType = {
  _id: string;
  avatar: string;
  name: string;
  tags: string[];
+  vectorModel: VectorModelItemType;
 };
 /* kb type */
-export interface KbItemType extends kbSchema {
-  totalData: number;
+export interface KbItemType {
+  _id: string;
+  avatar: string;
+  name: string;
+  userId: string;
+  vectorModel: VectorModelItemType;
  tags: string;
 }

--- a/client/src/utils/app.ts
+++ b/client/src/utils/app.ts
@@ -49,7 +49,7 @@ export const getDefaultAppForm = (): EditFormType => {
    },
    kb: {
      list: [],
-      searchSimilarity: 0.8,
+      searchSimilarity: 0.4,
      searchLimit: 5,
      searchEmptyText: ''
    },
--- a/client/src/utils/file.ts
+++ b/client/src/utils/file.ts
@@ -148,7 +148,7 @@ export const fileDownload = ({
 * maxLen > overlapLen
 */
 export const splitText2Chunks = ({ text, maxLen }: { text: string; maxLen: number }) => {
-  const overlapLen = Math.floor(maxLen * 0.3); // Overlap length
+  const overlapLen = Math.floor(maxLen * 0.25); // Overlap length

  try {
    const splitTexts = text.split(/(?<=[。！？；.!?;])/g);
@@ -173,9 +173,16 @@ export const splitText2Chunks = ({ text, maxLen }: { text: string; maxLen: numbe
      chunks.push(chunk);
    }

-    const enc = getOpenAiEncMap();
-    const encodeText = enc.encode(chunks.join(''));
-    const tokens = encodeText.length;
+    const tokens = (() => {
+      try {
+        const enc = getOpenAiEncMap();
+        const encodeText = enc.encode(chunks.join(''));
+        const tokens = encodeText.length;
+        return tokens;
+      } catch (error) {
+        return chunks.join('').length;
+      }
+    })();

    return {
      chunks,
@@ -274,5 +281,8 @@ export const simpleText = (text: string) => {
  text = text.replace(/([\u4e00-\u9fa5])\s+([\u4e00-\u9fa5])/g, '$1$2');
  text = text.replace(/\n{2,}/g, '\n');
  text = text.replace(/\s{2,}/g, ' ');
+
+  text = text.replace(/[\x00-\x1F]/g, ' ');
+
  return text;
 };
--- a/docSite/assets/images/logos/logo.svg
+++ b/docSite/assets/images/logos/logo.svg
@@ -1,599 +1,14 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="256px" height="256px" viewBox="0 0 256 256" enable-background="new 0 0 256 256" xml:space="preserve">  <image id="image0" width="256" height="256" x="0" y="0"
-    href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAYAAABccqhmAAAABGdBTUEAALGPC/xhBQAAACBjSFJN
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   "*": [
-    "../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/gohugoio/hugo-mod-jslibs-dist/popperjs/v2@v2.21100.20000/package/dist/cjs/popper.js/*",
-    "../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/twbs/bootstrap@v5.3.0+incompatible/js/*"
+    "../../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/gohugoio/hugo-mod-jslibs-dist/popperjs/v2@v2.21100.20000/package/dist/cjs/popper.js/*",
+    "../../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/twbs/bootstrap@v5.3.0+incompatible/js/*"
   ]
  }
 }
--- a/docSite/content/docs/custom-models/_index.md
+++ b/docSite/content/docs/custom-models/_index.md
@@ -0,0 +1,8 @@
+---
+weight: 0
+title: '本地模型使用'
+description: 'FastGPT 对接本地模型'
+icon: 'model_training'
+draft: false
+images: []
+---
--- a/docSite/content/docs/installation/reference/chatglm2.md
+++ b/docSite/content/docs/installation/reference/chatglm2.md
@@ -1,7 +1,7 @@
 ---
-title: "接入 ChatGLM2-6B"
-description: " 将 FastGPT 接入私有化模型 ChatGLM2-6B"
-icon: "model_training"
+title: '接入 ChatGLM2-6B'
+description: ' 将 FastGPT 接入私有化模型 ChatGLM2-6B'
+icon: 'model_training'
 draft: false
 toc: true
 weight: 753
@@ -23,30 +23,31 @@ ChatGLM2-6B 是开源中英双语对话模型 ChatGLM-6B 的第二代版本，

 ## 推荐配置

-依据官方数据，同样是生成 8192 长度，量化等级为 FP16 要占用 12.8GB  显存、int8 为 8.1GB 显存、int4 为 5.1GB 显存，量化后会稍微影响性能，但不多。
+依据官方数据，同样是生成 8192 长度，量化等级为 FP16 要占用 12.8GB 显存、int8 为 8.1GB 显存、int4 为 5.1GB 显存，量化后会稍微影响性能，但不多。

 因此推荐配置如下：

 {{< table "table-hover table-striped" >}}
-| 类型 | 内存    | 显存    | 硬盘空间 | 启动命令                  |
+| 类型 | 内存 | 显存 | 硬盘空间 | 启动命令 |
 |------|---------|---------|----------|--------------------------|
-| fp16 | >=16GB  | >=16GB  | >=25GB   | python openai_api.py 16  |
-| int8 | >=16GB  | >=9GB   | >=25GB   | python openai_api.py 8   |
-| int4 | >=16GB  | >=6GB   | >=25GB   | python openai_api.py 4   |
+| fp16 | >=16GB | >=16GB | >=25GB | python openai_api.py 16 |
+| int8 | >=16GB | >=9GB | >=25GB | python openai_api.py 8 |
+| int4 | >=16GB | >=6GB | >=25GB | python openai_api.py 4 |
 {{< /table >}}

 ## 环境配置

-+ Python 3.8.10
-+ CUDA 11.8
-+ 科学上网环境
+- Python 3.8.10
+- CUDA 11.8
+- 科学上网环境

 ## 部署步骤

 1. 根据上面的环境配置配置好环境，具体教程自行 GPT；
-2. 在命令行输入命令 `pip install -r requirments.txt`；
-3. 打开你需要启动的 py 文件，在代码的第 76 行配置 token，这里的 token 只是加一层验证，防止接口被人盗用；
-4. 执行命令 `python openai_api.py 16`。这里的数字根据上面的配置进行选择。
+2. 下载 [python 文件](https://github.com/labring/FastGPT/blob/main/files/models/ChatGLM2/openai_api.py)
+3. 在命令行输入命令 `pip install -r requirments.txt`；
+4. 打开你需要启动的 py 文件，在代码的第 76 行配置 token，这里的 token 只是加一层验证，防止接口被人盗用；
+5. 执行命令 `python openai_api.py 16`。这里的数字根据上面的配置进行选择。

 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。

@@ -60,7 +61,11 @@ ChatGLM2-6B 是开源中英双语对话模型 ChatGLM-6B 的第二代版本，

 ```bash
 OPENAI_BASE_URL=http://127.0.0.1:6006/v1
-OPENAIKEY=sk-aaabbbcccdddeeefffggghhhiiijjjkkk # 这里是你在代码中配置的 token，这里的 OPENAIKEY 可以任意填写
+CHAT_API_KEY=sk-aaabbbcccdddeeefffggghhhiiijjjkkk # 这里是你在代码中配置的 token，这里的 OPENAIKEY 可以任意填写
 ```

 这样就成功接入 ChatGLM2-6B 了。
+
+## 注意
+
+1. docker 部署时，给的推荐配置是组网模型，无法连接到本地的网络，以为这无法请求 0.0.0.0:6006。可以使用 host 模式，或者将模型发布到服务器上，并通过 oneapi 引入该模型。
--- a/docSite/content/docs/custom-models/m3e.md
+++ b/docSite/content/docs/custom-models/m3e.md
@@ -0,0 +1,81 @@
+---
+title: '接入 M3E 向量模型'
+description: ' 将 FastGPT 接入私有化模型 M3E'
+icon: 'model_training'
+draft: false
+toc: true
+weight: 100
+---
+
+## 前言
+
+FastGPT 默认使用了 openai 的 embedding 向量模型，如果你想私有部署的话，可以使用 M3E 向量模型进行替换。M3E 向量模型属于小模型，资源使用不高，CPU 也可以运行。下面教程是基于 “睡大觉” 同学提供的一个 CPU 版本的镜像。
+
+## 部署镜像
+
+镜像名: `stawky/m3e-large-api:latest`  
+端口号: 6008
+
+## 接入 OneAPI
+
+添加一个渠道，参数如下：
+
+![](/imgs/model-m3e1.png)
+
+## 测试
+
+curl 例子：
+
+```bash
+curl --location --request POST 'https://domain/v1/embeddings' \
+--header 'Authorization: Bearer sk-key' \
+--header 'Content-Type: application/json' \
+--data-raw '{
+  "model": "m3e",
+  "input": ["laf是什么"]
+}'
+```
+
+Authorization 为 sk-key。model 为刚刚在 OneAPI 填写的自定义模型。
+
+## 接入 FastGPT
+
+修改 config.json 配置文件，在 VectorModels 中加入 M3E 模型：
+
+```json
+"VectorModels": [
+    {
+      "model": "text-embedding-ada-002",
+      "name": "Embedding-2",
+      "price": 0.2,
+      "defaultToken": 500,
+      "maxToken": 3000
+    },
+    {
+      "model": "m3e",
+      "name": "M3E（测试使用）",
+      "price": 0.1,
+      "defaultToken": 500,
+      "maxToken": 1800
+    }
+],
+```
+
+## 测试使用
+
+1. 创建知识库时候选择 M3E 模型。
+
+注意，一旦选择后，知识库将无法修改向量模型。
+
+![](/imgs/model-m3e2.png)
+
+2. 导入数据
+3. 搜索测试
+
+![](/imgs/model-m3e3.png)
+
+4. 应用绑定知识库
+
+注意，应用只能绑定同一个向量模型的知识库，不能跨模型绑定。并且，需要注意调整相似度，不同向量模型的相似度（距离）会有所区别，需要自行测试实验。
+
+![](/imgs/model-m3e4.png)
--- a/docSite/content/docs/installation/docker.md
+++ b/docSite/content/docs/installation/docker.md
@@ -162,74 +162,7 @@ docker-compose up -d

 ### 如何自定义配置文件？

-需要在 `docker-compose.yml` 同级目录创建一个 `config.json` 文件，内容如下：
-
-```json
-{
-  "FeConfig": {
-    "show_emptyChat": true,
-    "show_register": false,
-    "show_appStore": false,
-    "show_userDetail": false,
-    "show_git": true,
-    "systemTitle": "FastGPT",
-    "authorText": "Made by FastGPT Team.",
-    "gitLoginKey": "",
-    "scripts": []
-  },
-  "SystemParams": {
-    "gitLoginSecret": "",
-    "vectorMaxProcess": 15,
-    "qaMaxProcess": 15,
-    "pgIvfflatProbe": 20
-  },
-  "plugins": {},
-  "ChatModels": [
-    {
-      "model": "gpt-3.5-turbo",
-      "name": "GPT35-4k",
-      "contextMaxToken": 4000,
-      "quoteMaxToken": 2000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "contextMaxToken": 16000,
-      "quoteMaxToken": 8000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    },
-    {
-      "model": "gpt-4",
-      "name": "GPT4-8k",
-      "contextMaxToken": 8000,
-      "quoteMaxToken": 4000,
-      "maxTemperature": 1.2,
-      "price": 0,
-      "defaultSystem": ""
-    }
-  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "maxToken": 16000,
-      "price": 0
-    }
-  ],
-  "VectorModels": [
-    {
-      "model": "text-embedding-ada-002",
-      "name": "Embedding-2",
-      "price": 0
-    }
-  ]
-}
-```
+需要在 `docker-compose.yml` 同级目录创建一个 `config.json` 文件，内容参考: [配置详解](/docs/installation/reference/configuration/)

 然后修改 `docker-compose.yml` 中的 `fastgpt` 容器内容，增加挂载选项即可：

--- a/docSite/content/docs/installation/reference/configuration.md
+++ b/docSite/content/docs/installation/reference/configuration.md
@@ -96,19 +96,19 @@ weight: 751
      "defaultSystem": ""
    }
  ],
-  "QAModels": [
-    {
-      "model": "gpt-3.5-turbo-16k",
-      "name": "GPT35-16k",
-      "maxToken": 16000,
-      "price": 0
-    }
-  ],
+  "QAModel": {
+    "model": "gpt-3.5-turbo-16k",
+    "name": "GPT35-16k",
+    "maxToken": 16000,
+    "price": 0
+  },
  "VectorModels": [
    {
      "model": "text-embedding-ada-002",
      "name": "Embedding-2",
-      "price": 0
+      "price": 0,
+      "defaultToken": 500,
+      "maxToken": 3000
    }
  ]
 }
--- a/docSite/content/docs/installation/upgrading/41.md
+++ b/docSite/content/docs/installation/upgrading/41.md
@@ -1,7 +1,7 @@
 ---
-title: "升级到 V4.1"
-description: "FastGPT 从旧版本升级到 V4.1 操作指南"
-icon: "upgrade"
+title: '升级到 V4.1'
+description: 'FastGPT 从旧版本升级到 V4.1 操作指南'
+icon: 'upgrade'
 draft: false
 toc: true
 weight: 762
@@ -13,6 +13,8 @@ weight: 762

 V4.1 优化了 PostgreSQL 和 MongoDB 的连接变量，只需要填 1 个 URL 即可：

+注意：/fastgpt 和 /postgres 是指数据库名称，需要和旧版的变量对应。
+
 ```bash
 # mongo 配置，不需要改. 如果连不上，可能需要去掉 ?authSource=admin
 - MONGODB_URI=mongodb://username:password@mongo:27017/fastgpt?authSource=admin
@@ -24,4 +26,4 @@ V4.1 优化了 PostgreSQL 和 MongoDB 的连接变量，只需要填 1 个 URL

 部署新版项目，并发起 1 个 HTTP 请求（记得携带 `headers.rootkey`，这个值是环境变量里的）

-+ https://xxxxx/api/admin/initChatItem
+- https://xxxxx/api/admin/initChatItem
--- a/docSite/content/docs/installation/upgrading/42.md
+++ b/docSite/content/docs/installation/upgrading/42.md
@@ -0,0 +1,21 @@
+---
+title: '升级到 V4.2'
+description: 'FastGPT 从旧版本升级到 V4.2 操作指南'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 763
+---
+
+99.9%用户不影响，升级 4.2 主要是修改了配置文件中 QAModel 的格式。从原先的数组改成对象：
+
+```json
+"QAModel": {
+    "model": "gpt-3.5-turbo-16k",
+    "name": "GPT35-16k",
+    "maxToken": 16000,
+    "price": 0
+}
+```
+
+改动目的是，我们认为不需要留有选择余地，选择一个最合适的模型去进行任务即可。
--- a/docSite/content/docs/installation/upgrading/421.md
+++ b/docSite/content/docs/installation/upgrading/421.md
@@ -0,0 +1,24 @@
+---
+title: '升级到 V4.2.1'
+description: 'FastGPT 从旧版本升级到 V4.2.1 操作指南'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 763
+---
+
+私有部署，如果添加了配置文件，需要在配置文件中修改 `VectorModels` 字段。增加 defaultToken 和 maxToken，分别对应直接分段时的默认 token 数量和该模型支持的 token 上限（通常不建议超过 3000）
+
+```json
+"VectorModels": [
+    {
+      "model": "text-embedding-ada-002",
+      "name": "Embedding-2",
+      "price": 0,
+      "defaultToken": 500,
+      "maxToken": 3000
+    }
+]
+```
+
+改动目的是，我们认为不需要留有选择余地，选择一个最合适的模型去进行任务即可。
--- a/docSite/layouts/docs/baseof.html
+++ b/docSite/layouts/docs/baseof.html
@@ -1,44 +1,46 @@
 <!DOCTYPE html>
 {{ $.Scratch.Delete "social_list" }}
+{{ $.Scratch.Set "pathName" (printf "%s" (.Site.Params.docs.pathName | default "docs")) }}
 <!-- social_list -->
 <!-- change -->
 {{ $social_params := slice "github" "twitter" "instagram" "rss" "wechat" }}
 {{ range $social_params }}
-{{ if isset site.Params.social . }}
-{{ $.Scratch.Add "social_list" (slice .) }}
-{{ end }}
+    {{ if isset site.Params.social . }}
+        {{ $.Scratch.Add "social_list" (slice .) }}
+    {{ end }}
 {{ end }}
 <html lang="{{ site.LanguageCode }}">
-    {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "head.html") . -}}
+    {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "head.html") . -}}
 <body>
    <div class="content">
        <div class="page-wrapper toggled">
-            {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "sidebar.html") . -}}
+            {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "sidebar.html") . -}}
                <!-- Start Page Content -->
                <main class="page-content bg-transparent">
-                    {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "top-header.html") . -}}
+                    {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "top-header.html") . -}}
                        <div class="container-fluid">
                            <div class="layout-spacing">
                                {{ $currentPage := . -}}
                                {{ if site.Params.docs.breadcrumbs | default true }}
                                    <div class="d-md-flex justify-content-between align-items-center">
-                                        {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "breadcrumbs.html") . -}}
+                                        {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "breadcrumbs.html") . -}}
                                    </div>
                                {{ end }}
                                <div class="row flex-xl-nowrap">
                                    {{ if site.Params.docs.toc | default true }}
                                    <div class="docs-toc col-xl-3 {{ if .IsNode }}visually-hidden{{ else }}{{end}} {{ if and (ne .Params.toc false) (ne .TableOfContents "<nav id=\"TableOfContents\"></nav>") }}{{ else }}visually-hidden{{ end }} {{ if site.Params.docs.toc | default true }}{{ else }}visually-hidden{{ end }} d-xl-block">
-                                        {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "toc.html") . -}}
+                                        {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "toc.html") . -}}
                                    </div>
                                    {{ end }}
                                    {{ if site.Params.docs.tocMobile | default true }}
                                    <div class="docs-toc-mobile {{ if .IsNode }}visually-hidden{{ else }}{{end}} {{ if and (ne .Params.toc false) (ne .TableOfContents "<nav id=\"TableOfContents\"></nav>") }}{{ else }}visually-hidden{{ end }} {{ if site.Params.docs.tocMobile | default true }}{{ else }}visually-hidden{{ end }} d-print-none d-xl-none">
                                        <button id="toc-dropdown-btn" class="btn-secondary dropdown-toggle" type="button" data-bs-toggle="dropdown" data-bs-offset="0,0" aria-expanded="false">
-                                            Contents
+                                            Table of Contents
                                        </button>
-                                        {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "toc-mobile.html") . -}}
+                                        {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "toc-mobile.html") . -}}
                                    </div>
                                    {{ end -}}
+                                    <!-- change -->
                                    <div class="docs-content col-12 {{ if .IsNode }}{{ else }}{{ if site.Params.docs.toc | default true }}{{ if and (ne .Params.toc false) }}col-xl-9{{else}}{{end}}{{ else }}{{ end }}{{ end }} mt-0">
                                        <div class="mb-3">
                                            <h1 class="content-title mb-0">
@@ -60,13 +62,13 @@
                                            {{ block "main" . }}{{ end }}
                                        </div>
                                        <div>
-                                            {{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "doc-nav.html") . -}}
+                                            {{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "doc-nav.html") . -}}
                                        </div>
                                    </div>
                                </div>
                            </div>
                        </div>
-                        {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "footer.html") . -}}
+                        {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "footer.html") . -}}

                </main>
        </div>
@@ -74,30 +76,30 @@

    {{ if site.Params.docs.backToTop | default true }}
    <!-- Back to top -->
-    <button onclick="topFunction()" id="back-to-top" class="back-to-top fs-5"><svg width="24" height="24"><path d="M12,10.224l-6.3,6.3L4.32,15.152,12,7.472l7.68,7.68L18.3,16.528Z" style="fill:#fff"/></svg></button>
+    <button onclick="topFunction()" id="back-to-top" aria-label="Back to Top Button" class="back-to-top fs-5"><svg width="24" height="24"><path d="M12,10.224l-6.3,6.3L4.32,15.152,12,7.472l7.68,7.68L18.3,16.528Z" style="fill:#fff"/></svg></button>
    <!-- Back to top -->
    {{ end }}

    <!-- Dark Mode Switch JS -->
    {{ if eq .Site.Params.docs.darkMode true -}}
-        {{ $darkModeSwitch := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/darkmode-switch.js") | js.Build | minify }}
+        {{ $darkModeSwitch := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/darkmode-switch.js") | js.Build | minify }}
        <script>{{ $darkModeSwitch.Content | safeJS }}</script>
    {{ end -}}

-    {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "footer/footer-scripts.html") . -}}
+    {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "footer/footer-scripts.html") . -}}

    <!-- DocSearch Config -->
    {{ if and (.Site.Params.docsearch.appID) (.Site.Params.docsearch.apiKey) -}}
-        {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "footer/docsearch.html") . -}}
+        {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "footer/docsearch.html") . -}}
    {{ end }}

    <!-- FlexSearch Config -->
    {{ if or (not (isset .Site.Params.flexsearch "enabled")) (eq .Site.Params.flexsearch.enabled true) -}}
        {{ if and (.Site.Params.docsearch.appID) (.Site.Params.docsearch.apiKey) -}}
        {{ else }}
-            {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "footer/flexsearch.html") . -}}
+            {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "footer/flexsearch.html") . -}}
        {{ end }}
    {{ end }}
 </body>
-{{- partial (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "modals.html") . -}}
+{{- partial (printf "%s/%s" ($.Scratch.Get "pathName") "modals.html") . -}}
 </html>
--- a/docSite/layouts/partials/docs/footer/footer-scripts.html
+++ b/docSite/layouts/partials/docs/footer/footer-scripts.html
@@ -1,3 +1,4 @@
+<!-- change -->
 <style>
    .medium-zoom-overlay,
    .medium-zoom-image--opened {
@@ -5,43 +6,43 @@
    }
 </style>

-{{ $dayjs := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/dayjs.min.js") }}
-{{ $relativeTime := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/relativeTime.min.js") }}
-{{ $app := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/app.js") -}}
+{{ $dayjs := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/dayjs.min.js") }}
+{{ $relativeTime := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/relativeTime.min.js") }}
+{{ $app := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/app.js") -}}

 {{ $slice := slice $dayjs $relativeTime $app -}}

 {{ if and (.Site.Params.docsearch.appID) (.Site.Params.docsearch.apiKey) -}}
-    {{ $docsearch := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/docsearch.min.js") }}
+    {{ $docsearch := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/docsearch.min.js") }}
    {{ $slice = $slice | append $docsearch -}}
 {{ end }}

 {{ if site.Params.docs.toc | default true }}
    {{ if eq .Site.Params.docs.scrollSpy true -}}
-        {{ $simplescrollspy := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/simple-scrollspy.min.js") }}
+        {{ $simplescrollspy := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/simple-scrollspy.min.js") }}
        {{ $slice = $slice | append $simplescrollspy -}}
    {{ end -}}

    {{ if eq .Site.Params.docs.scrollSpy true -}}
-        {{ $scrollspyScript := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/scrollspy-script.js") }}
+        {{ $scrollspyScript := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/scrollspy-script.js") }}
        {{ $scrollspyScript := $scrollspyScript | js.Build -}}
        {{ $slice = $slice | append $scrollspyScript -}}
    {{ end -}}
 {{ end -}}

 {{ if site.Params.docs.tocMobile | default true }}
-    {{ $tocmobilescrollspy := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/toc-mobile-scrollspy.js") }}
+    {{ $tocmobilescrollspy := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/toc-mobile-scrollspy.js") }}
    {{ $slice = $slice | append $tocmobilescrollspy -}}
 {{ end -}}

 {{ if eq .Site.Params.docs.prism true -}}
-    {{ $prism := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/prism.js") }}
+    {{ $prism := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/prism.js") }}
    {{ $prism := $prism | js.Build -}}
    {{ $slice = $slice | append $prism -}}
 {{ end -}}

 <!-- Bootstrap JS -->
-{{ $js := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/bootstrap.js") }}
+{{ $js := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/bootstrap.js") }}
 {{ $params := dict }}
 {{ $sourceMap := cond hugo.IsProduction "" "inline" }}
 {{ $opts := dict "sourceMap" $sourceMap "minify" hugo.IsProduction "target" "es2018" "params" $params }}
@@ -51,7 +52,7 @@
 {{ end }}
    <script src="{{ $js.RelPermalink }}" {{ if hugo.IsProduction }}integrity="{{ $js.Data.Integrity }}"{{ end -}} defer></script>

-{{ $js := $slice | resources.Concat (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/bundle.js") -}}
+{{ $js := $slice | resources.Concat (printf "/%s/%s" ($.Scratch.Get "pathName") "js/bundle.js") -}}

 {{- if not .Site.IsServer }}
    {{- $js := $js | minify | fingerprint "sha384" }}
@@ -60,6 +61,7 @@
    <script type="text/javascript" src="{{ $js.Permalink }}" defer></script>
 {{- end }}

+<!-- change -->
 <script
  src="https://cdn.jsdelivr.us/npm/medium-zoom/dist/medium-zoom.min.js"
  crossorigin="anonymous"
--- a/docSite/layouts/partials/docs/head.html
+++ b/docSite/layouts/partials/docs/head.html
@@ -27,17 +27,17 @@
    <meta name="website" content="https://lotusdocs.dev" />
    <meta name="Version" content="v0.1.0" />
    <!-- favicon -->
-    {{ block "favicon" . }}{{ partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "head/favicon.html") . }}{{ end }}
+    {{ block "favicon" . }}{{ partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "head/favicon.html") . }}{{ end }}
    <!-- Dark Mode -->
    {{ if eq .Site.Params.docs.darkMode true -}}
-        {{ $darkModeInit := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/darkmode-init.js") | js.Build | minify -}}
+        {{ $darkModeInit := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/darkmode-init.js") | js.Build | minify -}}
        <script>{{ $darkModeInit.Content | safeJS }}</script>
    {{ end -}}
    <!-- FlexSearch -->
    {{ if or (not (isset .Site.Params.flexsearch "enabled")) (eq .Site.Params.flexsearch.enabled true) -}}
        {{ if and (.Site.Params.docsearch.appID) (.Site.Params.docsearch.apiKey) -}}
        {{ else }}
-            {{ $flexSearch := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "js/flexsearch.bundle.js") }}
+            {{ $flexSearch := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "js/flexsearch.bundle.js") }}
            {{- if not .Site.IsServer }}
                {{ $flexSearch := $flexSearch | minify | fingerprint "sha384" }}
                <script type="text/javascript" src="{{ $flexSearch.Permalink }}" integrity="{{ $flexSearch.Data.Integrity }}" crossorigin="anonymous"></script>
@@ -53,8 +53,8 @@
    {{- if hugo.IsProduction}}
        {{- $options := dict "enableSourceMap" false "outputStyle" "compressed" }}
    {{- end }}
-    {{- $style := resources.Get (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "scss/style.scss") }}
-    {{- $style = $style | resources.ExecuteAsTemplate (printf "/%s/%s" (.Site.Params.docs.pathName | default "docs") "scss/style.scss") . | resources.ToCSS $options }}
+    {{- $style := resources.Get (printf "/%s/%s" ($.Scratch.Get "pathName") "scss/style.scss") }}
+    {{- $style = $style | resources.ExecuteAsTemplate (printf "/%s/%s" ($.Scratch.Get "pathName") "scss/style.scss") . | resources.ToCSS $options }}
    {{- if hugo.IsProduction }}
        {{- $style = $style | minify | fingerprint "sha384" }}
    {{- end -}}
@@ -62,7 +62,7 @@
    <!-- Plausible Analytics Config -->
    {{- if not .Site.IsServer }}
    {{ if and (.Site.Params.plausible.scriptURL | default "https://plausible.io") (.Site.Params.plausible.dataDomain) -}}
-        {{- partialCached (printf "%s/%s" (.Site.Params.docs.pathName | default "docs") "head/plausible") . }}
+        {{- partialCached (printf "%s/%s" ($.Scratch.Get "pathName") "head/plausible") . }}
    {{- end -}}
    {{- end -}}
    <!-- Google Analytics v4 Config -->
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Archer	5fcdf28c5c	user feedback and admin mark (#228 ) * fix: csv empty data * feat: user feedback and mark answer * version intro * perf: chat logs sort	2023-08-27 23:12:06 +08:00
archer	2556c19a9a	issue template	2023-08-27 01:18:33 +08:00
Archer	8fd21ad5a7	Update issue templates	2023-08-27 01:13:13 +08:00
archer	efebcd6f1b	docs images	2023-08-27 00:27:48 +08:00
Carson Yang	05e681f98f	Fix favicon (#225 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-27 00:26:51 +08:00
archer	17c59bedfe	README	2023-08-27 00:26:14 +08:00
archer	92ebd6a0b9	doc: m3e model	2023-08-26 22:31:21 +08:00
archer	0d26b1d48e	fix: file sprcial char	2023-08-26 21:36:48 +08:00
archer	4973d7ad9c	fix: default vector	2023-08-26 19:40:18 +08:00
archer	defc73651b	glm2 docs	2023-08-26 19:24:14 +08:00
archer	eefc976d42	perf: qa prompt	2023-08-26 19:21:15 +08:00
archer	be33794a5f	feat: self vector search	2023-08-26 18:25:12 +08:00
archer	13439c5183	perf: read file token error	2023-08-26 17:17:19 +08:00
archer	93030afe3e	fix: limit prompt	2023-08-26 11:56:26 +08:00
archer	dfc40db835	prompt	2023-08-26 10:52:55 +08:00
MaricoHan	7f48acc42e	修正单词拼写 (#223 )	2023-08-26 09:36:18 +08:00
archer	5661b11aee	docs	2023-08-25 16:34:49 +08:00
archer	4b088e84c7	fix: ts	2023-08-25 15:45:24 +08:00
archer	6d93059e25	feat: config vector model and qa model	2023-08-25 15:00:51 +08:00
archer	a9970dd694	logo	2023-08-25 10:15:09 +08:00
Carson Yang	81421bccef	Fix CI workflow (#220 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-25 10:06:20 +08:00
Carson Yang	f4ae980a75	Update favicon (#219 ) Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>	2023-08-25 09:41:12 +08:00
				`@@ -0,0 +1 @@`
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