Update dependencies and fix import paths

package.json

@@ -35,8 +35,10 @@
     "i18next-browser-languagedetector": "^7.2.0",
     "langchain": "^0.1.28",
     "lucide-react": "^0.350.0",
+    "ml-distance": "^4.0.1",
     "pdfjs-dist": "^4.0.379",
     "property-information": "^6.4.1",
+    "pubsub-js": "^1.9.4",
     "react": "18.2.0",
     "react-dom": "18.2.0",
     "react-i18next": "^14.1.0",
@@ -55,6 +57,7 @@
     "@types/chrome": "0.0.259",
     "@types/html-to-text": "^9.0.4",
     "@types/node": "20.11.9",
+    "@types/pubsub-js": "^1.8.6",
     "@types/react": "18.2.48",
     "@types/react-dom": "18.2.18",
     "@types/react-syntax-highlighter": "^15.5.11",

src/assets/locale/en/knownledge.json

@@ -0,0 +1,3 @@
+{
+    "addBtn": "Add New Knowledge"
+}

src/assets/locale/en/playground.json

@@ -21,7 +21,8 @@
         "searchInternet": "Search Internet",
         "speechToText": "Speech to Text",
         "uploadImage": "Upload Image",
-        "stopStreaming": "Stop Streaming"
+        "stopStreaming": "Stop Streaming",
+        "knowledge": "Knowledge"
     },
     "sendWhenEnter": "Send when Enter pressed"
 }

src/assets/locale/en/settings.json

@@ -242,5 +242,9 @@
         "koFi": "Support on Ko-fi",
         "githubSponsor": "Sponsor on GitHub",
         "githubRepo": "GitHub Repository"
+    },
+    "manageKnowledge": {
+        "title": "Manage Knowledge",
+        "heading": "Configure Knowledge Base"
     }
 }

src/assets/locale/ja-JP/knownledge.json

@@ -0,0 +1 @@
+{}

src/assets/locale/ja-JP/playground.json

@@ -21,7 +21,8 @@
         "searchInternet": "インターネットを検索",
         "speechToText": "音声入力",
         "uploadImage": "画像をアップロード",
-        "stopStreaming": "ストリーミングを停止"
+        "stopStreaming": "ストリーミングを停止",
+        "knowledge": "知識"
     },
     "sendWhenEnter": "Enterキーを押すと送信"
 }

src/assets/locale/ml/knownledge.json

@@ -0,0 +1 @@
+{}

src/assets/locale/ml/playground.json

@@ -21,7 +21,8 @@
         "searchInternet": "ഇന്റര്‍നെറ്റ് തിരയുക",
         "speechToText": "സംഭാഷണം ടെക്സ്റ്റായി",
         "uploadImage": "ഇമേജ് അപ്‌ലോഡ് ചെയ്യുക",
-        "stopStreaming": "സ്ട്രീമിംഗ് നിർത്തുക"
+        "stopStreaming": "സ്ട്രീമിംഗ് നിർത്തുക",
+        "knowledge": "അറിവ്"
     },
     "sendWhenEnter": "എന്റര്‍ അമര്‍ത്തുമ്പോള്‍ അയയ്ക്കുക"
 }

src/assets/locale/zh/knownledge.json

@@ -0,0 +1 @@
+{}

src/assets/locale/zh/playground.json

@@ -21,7 +21,8 @@
         "searchInternet": "搜索互联网",
         "speechToText": "语音到文本",
         "uploadImage": "上传图片",
-        "stopStreaming": "停止流媒体"
+        "stopStreaming": "停止流媒体",
+        "knowledge": "知识"
     },
     "sendWhenEnter": "按Enter发送"
 }

src/assets/tailwind.css

@@ -55,3 +55,13 @@
     background-position: 0% 50%;
   }
 }
+/* Hide scrollbar for Chrome, Safari and Opera */
+.no-scrollbar::-webkit-scrollbar {
+  display: none;
+}
+
+/* Hide scrollbar for IE, Edge and Firefox */
+.no-scrollbar {
+  -ms-overflow-style: none;  /* IE and Edge */
+  scrollbar-width: none;  /* Firefox */
+}

src/components/Common/ShareBtn.tsx

@@ -7,7 +7,7 @@ import React from "react"
 import { useMutation } from "@tanstack/react-query"
 import { getPageShareUrl } from "~/services/ollama"
 import { cleanUrl } from "~/libs/clean-url"
-import { getUserId, saveWebshare } from "~/libs/db"
+import { getUserId, saveWebshare } from "@/db"
 import { useTranslation } from "react-i18next"
 
 type Props = {

src/components/Layouts/Layout.tsx

@@ -15,7 +15,7 @@ import {
   SquarePen,
   ZapIcon
 } from "lucide-react"
-import { getAllPrompts } from "~/libs/db"
+import { getAllPrompts } from "@/db"
 import { ShareBtn } from "~/components/Common/ShareBtn"
 import { useTranslation } from "react-i18next"
 import { OllamaIcon } from "../Icons/Ollama"

src/components/Layouts/SettingsOptionLayout.tsx

@@ -68,12 +68,12 @@ export const SettingsLayout = ({ children }: { children: React.ReactNode }) => {
                 current={location.pathname}
                 icon={BrainCircuit}
               />
-               {/* <LinkComponent
+               <LinkComponent
                 href="/settings/knowledge"
                 name={t("manageKnowledge.title")}
                 icon={BlocksIcon}
                 current={location.pathname}
-              /> */}
+              />
               <LinkComponent
                 href="/settings/prompt"
                 name={t("managePrompts.title")}

src/components/Option/Knowledge/AddKnowledge.tsx

@@ -0,0 +1,139 @@
+import { Source, createKnowledge } from "@/db/knowledge"
+import { defaultEmbeddingModelForRag } from "@/services/ollama"
+import { convertToSource } from "@/utils/to-source"
+import { useMutation } from "@tanstack/react-query"
+import { Modal, Form, Input, Upload, message, UploadFile } from "antd"
+import { InboxIcon } from "lucide-react"
+import { useTranslation } from "react-i18next"
+import PubSub from "pubsub-js"
+import { KNOWLEDGE_QUEUE } from "@/queue"
+
+type Props = {
+  open: boolean
+  setOpen: React.Dispatch<React.SetStateAction<boolean>>
+}
+
+export const AddKnowledge = ({ open, setOpen }: Props) => {
+  const { t } = useTranslation("knowledge")
+  const [form] = Form.useForm()
+
+  const onUploadHandler = async (data: {
+    title: string
+    file: UploadFile[]
+  }) => {
+    const defaultEM = await defaultEmbeddingModelForRag()
+
+    if (!defaultEM) {
+      throw new Error(t("noEmbeddingModel"))
+    }
+
+    const source: Source[] = []
+
+    for (const file of data.file) {
+      const data = await convertToSource(file)
+      source.push(data)
+    }
+
+    const knowledge = await createKnowledge({
+      embedding_model: defaultEM,
+      source,
+      title: data.title
+    })
+
+    return knowledge.id
+  }
+
+  const { mutate: saveKnowledge, isPending: isSaving } = useMutation({
+    mutationFn: onUploadHandler,
+    onError: (error) => {
+      message.error(error.message)
+    },
+    onSuccess: async (id) => {
+      message.success(t("form.success"))
+      PubSub.publish(KNOWLEDGE_QUEUE, id)
+      setOpen(false)
+    }
+  })
+
+  return (
+    <Modal
+      title={t("addKnowledge")}
+      open={open}
+      footer={null}
+      onCancel={() => setOpen(false)}>
+      <Form onFinish={saveKnowledge} form={form} layout="vertical">
+        <Form.Item
+          rules={[
+            {
+              required: true,
+              message: t("form.title.required")
+            }
+          ]}
+          name="title"
+          label={t("form.title.label")}>
+          <Input size="large" placeholder={t("form.title.placeholder")} />
+        </Form.Item>
+        <Form.Item
+          name="file"
+          label={t("form.uploadFile.label")}
+          rules={[
+            {
+              required: true,
+              message: t("form.uploadFile.required")
+            }
+          ]}
+          getValueFromEvent={(e) => {
+            if (Array.isArray(e)) {
+              return e
+            }
+            return e?.fileList
+          }}>
+          <Upload.Dragger
+            accept={".pdf, .csv, .txt"}
+            multiple={true}
+            maxCount={10}
+            beforeUpload={(file) => {
+              const allowedTypes = [
+                "application/pdf",
+                // "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+                "text/csv",
+                "text/plain"
+              ]
+                .map((type) => type.toLowerCase())
+                .join(", ")
+
+              if (!allowedTypes.includes(file.type.toLowerCase())) {
+                message.error(
+                  t("form.uploadFile.uploadError", { allowedTypes })
+                )
+                return Upload.LIST_IGNORE
+              }
+
+              return false
+            }}>
+            <div className="p-3">
+              <p className="ant-upload-drag-icon justify-center flex">
+                <InboxIcon className="h-10 w-10 text-gray-400" />
+              </p>
+              <p className="ant-upload-text">
+                {t("form.uploadFile.uploadText")}
+              </p>
+              <p className="ant-upload-hint">
+                {t("form.uploadFile.uploadHint")}
+              </p>
+            </div>
+          </Upload.Dragger>
+        </Form.Item>
+
+        <Form.Item>
+          <button
+            type="submit"
+            disabled={isSaving}
+            className="inline-flex w-full text-center justify-center items-center rounded-md border border-transparent bg-black px-2 py-2 text-md font-medium leading-4 text-white shadow-sm hover:bg-gray-800 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2 dark:bg-white dark:text-gray-800 dark:hover:bg-gray-100 dark:focus:ring-gray-500 dark:focus:ring-offset-gray-100 disabled:opacity-50">
+            {t("form.submit")}
+          </button>
+        </Form.Item>
+      </Form>
+    </Modal>
+  )
+}

src/components/Option/Knowledge/KnowledgeSelect.tsx

@@ -0,0 +1,51 @@
+import { getAllKnowledge } from "@/db/knowledge"
+import { useQuery } from "@tanstack/react-query"
+import { Dropdown, Tooltip } from "antd"
+import { Blocks } from "lucide-react"
+import React from "react"
+import { useTranslation } from "react-i18next"
+
+export const KnowledgeSelect: React.FC = () => {
+  const { t } = useTranslation("playground")
+  const { data } = useQuery({
+    queryKey: ["getAllKnowledge"],
+    queryFn: async () => {
+      const data = await getAllKnowledge("finished")
+      return data
+    },
+    refetchInterval: 1000
+  })
+
+  return (
+    <Dropdown
+      menu={{
+        items:
+          data?.map((d) => ({
+            key: d.id,
+            label: (
+              <div className="w-52 gap-2 text-lg truncate inline-flex line-clamp-3  items-center  dark:border-gray-700">
+                <div>
+                  <Blocks className="h-6 w-6 text-gray-400" />
+                </div>
+                {d.title}
+              </div>
+            ),
+            onClick: () => {}
+          })) || [],
+        style: {
+          maxHeight: 500,
+          overflowY: "scroll"
+        },
+        // hidescrollbars: true
+        className: "no-scrollbar"
+      }}
+      placement={"topLeft"}
+      trigger={["click"]}>
+      <Tooltip title={t("tooltip.knowledge")}>
+        <button type="button" className="dark:text-gray-300">
+          <Blocks className="h-6 w-6" />
+        </button>
+      </Tooltip>
+    </Dropdown>
+  )
+}

src/components/Option/Knowledge/index.tsx

@@ -0,0 +1,138 @@
+import { useState } from "react"
+import { useTranslation } from "react-i18next"
+import { AddKnowledge } from "./AddKnowledge"
+import {
+  useMutation,
+  useQuery,
+  useQueryClient
+} from "@tanstack/react-query"
+import { deleteKnowledge, getAllKnowledge } from "@/db/knowledge"
+import { Skeleton, Table, Tag, Tooltip, message } from "antd"
+import { Trash2 } from "lucide-react"
+
+export const KnowledgeSettings = () => {
+  const { t } = useTranslation(["knownledge", "common"])
+  const [open, setOpen] = useState(false)
+  const queryClient = useQueryClient()
+
+  const { data, status } = useQuery({
+    queryKey: ["fetchAllKnowledge"],
+    queryFn: () => getAllKnowledge(),
+    refetchInterval: 1000
+  })
+
+  const { mutate: deleteKnowledgeMutation, isPending: isDeleting } =
+    useMutation({
+      mutationFn: deleteKnowledge,
+      onSuccess: () => {
+        queryClient.invalidateQueries({
+          queryKey: ["fetchAllKnowledge"]
+        })
+
+        message.success(t("deleteSuccess"))
+      },
+      onError: (error) => {
+        message.error(error.message)
+      }
+    })
+
+  return (
+    <div>
+      <div>
+        {/* Add new model button */}
+        <div className="mb-6">
+          <div className="-ml-4 -mt-2 flex flex-wrap items-center justify-end sm:flex-nowrap">
+            <div className="ml-4 mt-2 flex-shrink-0">
+              <button
+                onClick={() => setOpen(true)}
+                className="inline-flex items-center rounded-md border border-transparent bg-black px-2 py-2 text-md font-medium leading-4 text-white shadow-sm hover:bg-gray-800 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2 dark:bg-white dark:text-gray-800 dark:hover:bg-gray-100 dark:focus:ring-gray-500 dark:focus:ring-offset-gray-100 disabled:opacity-50">
+                {t("addBtn")}
+              </button>
+            </div>
+          </div>
+        </div>
+        {status === "pending" && <Skeleton paragraph={{ rows: 8 }} />}
+
+        {status === "success" && (
+          <Table
+            columns={[
+              {
+                title: t("columns.title"),
+                dataIndex: "title",
+                key: "title"
+              },
+              {
+                title: t("columns.status"),
+                dataIndex: "status",
+                key: "status",
+                render: (text: string) => (
+                  <Tag color="blue">{t(`status.${text}`)}</Tag>
+                )
+              },
+              {
+                title: t("columns.embeddings"),
+                dataIndex: "embedding_model",
+                key: "embedding_model"
+              },
+              {
+                title: t("columns.createdAt"),
+                dataIndex: "createdAt",
+                key: "createdAt",
+                render: (text: number) => new Date(text).toLocaleString()
+              },
+              {
+                title: t("columns.action"),
+                key: "action",
+                render: (text: string, record: any) => (
+                  <div className="flex gap-4">
+                    <Tooltip title={t("tooltip.delete")}>
+                      <button
+                        disabled={isDeleting}
+                        onClick={() => {
+                          if (window.confirm(t("confirm.delete"))) {
+                            deleteKnowledgeMutation(record.id)
+                          }
+                        }}
+                        className="text-red-500 dark:text-red-400">
+                        <Trash2 className="w-5 h-5" />
+                      </button>
+                    </Tooltip>
+                  </div>
+                )
+              }
+            ]}
+            expandable={{
+              expandedRowRender: (record) => (
+                <Table
+                  pagination={false}
+                  columns={[
+                    {
+                      title: t("expandedColumns.name"),
+                      key: "filename",
+                      dataIndex: "filename"
+                    },
+                    {
+                      title: t("expandedColumns.type"),
+                      key: "type",
+                      dataIndex: "type"
+                    }
+                  ]}
+                  dataSource={record.source}
+                  locale={{
+                    emptyText: t("common:noData")
+                  }}
+                />
+              ),
+              defaultExpandAllRows: false
+            }}
+            bordered
+            dataSource={data}
+            rowKey={(record) => `${record.name}-${record.id}`}
+          />
+        )}
+      </div>
+
+      <AddKnowledge open={open} setOpen={setOpen} />
+    </div>
+  )
+}

src/components/Option/Playground/PlaygroundForm.tsx

@@ -4,7 +4,7 @@ import React from "react"
 import useDynamicTextareaSize from "~/hooks/useDynamicTextareaSize"
 import { toBase64 } from "~/libs/to-base64"
 import { useMessageOption } from "~/hooks/useMessageOption"
-import { Checkbox, Dropdown, Switch, Tooltip } from "antd"
+import { Checkbox, Dropdown, Select, Switch, Tooltip } from "antd"
 import { Image } from "antd"
 import { useSpeechRecognition } from "~/hooks/useSpeechRecognition"
 import { useWebUI } from "~/store/webui"
@@ -12,6 +12,7 @@ import { defaultEmbeddingModelForRag } from "~/services/ollama"
 import { ImageIcon, MicIcon, StopCircleIcon, X } from "lucide-react"
 import { getVariable } from "~/utils/select-varaible"
 import { useTranslation } from "react-i18next"
+import { KnowledgeSelect } from "../Knowledge/KnowledgeSelect"
 
 type Props = {
   dropedFile: File | undefined
@@ -249,6 +250,7 @@ export const PlaygroundForm = ({ dropedFile }: Props) => {
                   </Tooltip>
                 </div>
                 <div className="flex !justify-end gap-3">
+                  <KnowledgeSelect />
                   <Tooltip title={t("tooltip.speechToText")}>
                     <button
                       type="button"
@@ -273,6 +275,7 @@ export const PlaygroundForm = ({ dropedFile }: Props) => {
                       )}
                     </button>
                   </Tooltip>
+
                   <Tooltip title={t("tooltip.uploadImage")}>
                     <button
                       type="button"
@@ -284,7 +287,7 @@ export const PlaygroundForm = ({ dropedFile }: Props) => {
                       }`}>
                       <ImageIcon className="h-5 w-5" />
                     </button>
-                  </Tooltip> 
+                  </Tooltip>
                   {!isSending ? (
                     <Dropdown.Button
                       htmlType="submit"

src/components/Option/Prompt/index.tsx

@@ -18,7 +18,7 @@ import {
   getAllPrompts,
   savePrompt,
   updatePrompt
-} from "~/libs/db"
+} from "@/db"
 
 export const PromptBody = () => {
   const queryClient = useQueryClient()

src/components/Option/Settings/other.tsx

@@ -1,7 +1,7 @@
 import { useQueryClient } from "@tanstack/react-query"
 import { useDarkMode } from "~/hooks/useDarkmode"
 import { useMessageOption } from "~/hooks/useMessageOption"
-import { PageAssitDatabase } from "~/libs/db"
+import { PageAssitDatabase } from "@/db"
 import { Select } from "antd"
 import { SUPPORTED_LANGUAGES } from "~/utils/supporetd-languages"
 import { MoonIcon, SunIcon } from "lucide-react"

src/components/Option/Share/index.tsx

@@ -3,7 +3,7 @@ import { Form, Input, Skeleton, Table, Tooltip, message } from "antd"
 import { Trash2 } from "lucide-react"
 import { Trans, useTranslation } from "react-i18next"
 import { SaveButton } from "~/components/Common/SaveButton"
-import { deleteWebshare, getAllWebshares, getUserId } from "~/libs/db"
+import { deleteWebshare, getAllWebshares, getUserId } from "@/db"
 import { getPageShareUrl, setPageShareUrl } from "~/services/ollama"
 import { verifyPageShareURL } from "~/utils/verify-page-share"
 

src/components/Option/Sidebar.tsx

@@ -5,7 +5,7 @@ import {
   formatToMessage,
   deleteByHistoryId,
   updateHistory
-} from "~/libs/db"
+} from "@/db"
 import { Empty, Skeleton } from "antd"
 import { useMessageOption } from "~/hooks/useMessageOption"
 import { PencilIcon, Trash2 } from "lucide-react"

src/db/knowledge.ts

@@ -0,0 +1,192 @@
+import { deleteVector, deleteVectorByFileId } from "./vector"
+
+export type Source = {
+  source_id: string
+  type: string
+  filename?: string
+  content: string
+}
+
+export type Knowledge = {
+  id: string
+  db_type: string
+  title: string
+  status: string
+  embedding_model: string
+  source: Source[]
+  knownledge: any
+  createdAt: number
+}
+export const generateID = () => {
+  return "pa_knowledge_xxxx-xxxx-xxx-xxxx".replace(/[x]/g, () => {
+    const r = Math.floor(Math.random() * 16)
+    return r.toString(16)
+  })
+}
+export class PageAssistKnowledge {
+  db: chrome.storage.StorageArea
+
+  constructor() {
+    this.db = chrome.storage.local
+  }
+
+  getAll = async (): Promise<Knowledge[]> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(null, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          const data = Object.keys(result).map((key) => result[key])
+          resolve(data)
+        }
+      })
+    })
+  }
+
+  getById = async (id: string): Promise<Knowledge> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(id, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve(result[id])
+        }
+      })
+    })
+  }
+
+  create = async (knowledge: Knowledge): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.set({ [knowledge.id]: knowledge }, () => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve()
+        }
+      })
+    })
+  }
+
+  update = async (knowledge: Knowledge): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.set({ [knowledge.id]: knowledge }, () => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve()
+        }
+      })
+    })
+  }
+
+  delete = async (id: string): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.remove(id, () => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve()
+        }
+      })
+    })
+  }
+
+  deleteSource = async (id: string, source_id: string): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(id, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          const data = result[id] as Knowledge
+          data.source = data.source.filter((s) => s.source_id !== source_id)
+          this.db.set({ [id]: data }, () => {
+            if (chrome.runtime.lastError) {
+              reject(chrome.runtime.lastError)
+            } else {
+              resolve()
+            }
+          })
+        }
+      })
+    })
+  }
+}
+
+export const createKnowledge = async ({
+  source,
+  title,
+  embedding_model
+}: {
+  title: string
+  source: Source[]
+  embedding_model: string
+}) => {
+  const db = new PageAssistKnowledge()
+  const id = generateID()
+  const knowledge: Knowledge = {
+    id,
+    title,
+    db_type: "knowledge",
+    source,
+    status: "pending",
+    knownledge: {},
+    embedding_model,
+    createdAt: Date.now()
+  }
+  await db.create(knowledge)
+  return knowledge
+}
+
+export const getKnowledgeById = async (id: string) => {
+  const db = new PageAssistKnowledge()
+  return db.getById(id)
+}
+
+export const updateKnowledgeStatus = async (id: string, status: string) => {
+  const db = new PageAssistKnowledge()
+  const knowledge = await db.getById(id)
+  await db.update({
+    ...knowledge,
+    status
+  })
+}
+
+export const getAllKnowledge = async (status?: string) => {
+  const db = new PageAssistKnowledge()
+  const data = await db.getAll()
+
+  if (status) {
+    return data
+      .filter((d) => d.db_type === "knowledge")
+      .filter((d) => d.status === status)
+      .map((d) => {
+        d.source.forEach((s) => {
+          delete s.content
+        })
+        return d
+      })
+      .sort((a, b) => b.createdAt - a.createdAt)
+  }
+
+  return data
+    .filter((d) => d.db_type === "knowledge")
+    .map((d) => {
+      d.source.forEach((s) => {
+        delete s.content
+      })
+      return d
+    })
+    .sort((a, b) => b.createdAt - a.createdAt)
+}
+
+export const deleteKnowledge = async (id: string) => {
+  const db = new PageAssistKnowledge()
+  await db.delete(id)
+  await deleteVector(`vector:${id}`)
+}
+
+export const deleteSource = async (id: string, source_id: string) => {
+  const db = new PageAssistKnowledge()
+  await db.deleteSource(id, source_id)
+  await deleteVectorByFileId(`vector:${id}`, source_id)
+}

src/db/vector.ts

@@ -0,0 +1,131 @@
+interface PageAssistVector {
+  file_id: string
+  content: string
+  embedding: number[]
+  metadata: Record<string, any>
+}
+
+export type VectorData = {
+  id: string
+  vectors: PageAssistVector[]
+}
+
+export class PageAssistVectorDb {
+  db: chrome.storage.StorageArea
+
+  constructor() {
+    this.db = chrome.storage.local
+  }
+
+  insertVector = async (
+    id: string,
+    vector: PageAssistVector[]
+  ): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(id, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          const data = result[id] as VectorData
+          if (!data) {
+            console.log("Creating new vector")
+            this.db.set({ [id]: { id, vectors: [vector] } }, () => {
+              if (chrome.runtime.lastError) {
+                reject(chrome.runtime.lastError)
+              } else {
+                resolve()
+              }
+            })
+          } else {
+            console.log("Concatenating vectors")
+            this.db.set(
+              {
+                [id]: {
+                  ...data,
+                  vectors: data.vectors.concat(vector)
+                }
+              },
+              () => {
+                if (chrome.runtime.lastError) {
+                  reject(chrome.runtime.lastError)
+                } else {
+                  resolve()
+                }
+              }
+            )
+          }
+        }
+      })
+    })
+  }
+
+  deleteVector = async (id: string): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.remove(id, () => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve()
+        }
+      })
+    })
+  }
+
+  deleteVectorByFileId = async (id: string, file_id: string): Promise<void> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(id, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          const data = result[id] as VectorData
+          data.vectors = data.vectors.filter((v) => v.file_id !== file_id)
+          this.db.set({ [id]: data }, () => {
+            if (chrome.runtime.lastError) {
+              reject(chrome.runtime.lastError)
+            } else {
+              resolve()
+            }
+          })
+        }
+      })
+    })
+  }
+
+  getVector = async (id: string): Promise<VectorData> => {
+    return new Promise((resolve, reject) => {
+      this.db.get(id, (result) => {
+        if (chrome.runtime.lastError) {
+          reject(chrome.runtime.lastError)
+        } else {
+          resolve(result[id] as VectorData)
+        }
+      })
+    })
+  }
+}
+
+export const insertVector = async (
+  id: string,
+  vector: PageAssistVector[]
+): Promise<void> => {
+  const db = new PageAssistVectorDb()
+  return db.insertVector(id, vector)
+}
+
+export const getVector = async (id: string): Promise<VectorData> => {
+  const db = new PageAssistVectorDb()
+  return db.getVector(id)
+}
+
+export const deleteVector = async (id: string): Promise<void> => {
+  const db = new PageAssistVectorDb()
+  return db.deleteVector(id)
+}
+
+export const deleteVectorByFileId = async (
+  id: string,
+  file_id: string
+): Promise<void> => {
+  const db = new PageAssistVectorDb()
+  return db.deleteVectorByFileId(id, file_id)
+}

src/entries/background.ts

@@ -1,4 +1,4 @@
-
+import { processKnowledge } from "@/libs/process-knowledge"
 import { getOllamaURL, isOllamaRunning } from "../services/ollama"
 const progressHuman = (completed: number, total: number) => {
   return ((completed / total) * 100).toFixed(0) + "%"
@@ -78,13 +78,16 @@ export default defineBackground({
   main() {
     chrome.runtime.onMessage.addListener(async (message) => {
       if (message.type === "sidepanel") {
-        chrome.tabs.query({ active: true, currentWindow: true }, async (tabs) => {
-          const tab = tabs[0]
-          chrome.sidePanel.open({
-            // tabId: tab.id!,
-            windowId: tab.windowId!,
-          })
-        })
+        chrome.tabs.query(
+          { active: true, currentWindow: true },
+          async (tabs) => {
+            const tab = tabs[0]
+            chrome.sidePanel.open({
+              // tabId: tab.id!,
+              windowId: tab.windowId!
+            })
+          }
+        )
       } else if (message.type === "pull_model") {
         const ollamaURL = await getOllamaURL()
 
@@ -93,8 +96,7 @@ export default defineBackground({
         if (!isRunning) {
           chrome.action.setBadgeText({ text: "E" })
           chrome.action.setBadgeBackgroundColor({ color: "#FF0000" })
-          chrome.action.setTitle({ title: "Ollama is not running"
-         })
+          chrome.action.setTitle({ title: "Ollama is not running" })
           setTimeout(() => {
             clearBadge()
           }, 5000)
@@ -111,12 +113,15 @@ export default defineBackground({
     chrome.commands.onCommand.addListener((command) => {
       switch (command) {
         case "execute_side_panel":
-          chrome.tabs.query({ active: true, currentWindow: true }, async (tabs) => {
-            const tab = tabs[0]
-            chrome.sidePanel.open({
-              windowId: tab.windowId!
-            })
-          })
+          chrome.tabs.query(
+            { active: true, currentWindow: true },
+            async (tabs) => {
+              const tab = tabs[0]
+              chrome.sidePanel.open({
+                windowId: tab.windowId!
+              })
+            }
+          )
           break
         default:
           break
@@ -131,14 +136,17 @@ export default defineBackground({
 
     chrome.contextMenus.onClicked.addListener((info, tab) => {
       if (info.menuItemId === "open-side-panel-pa") {
-        chrome.tabs.query({ active: true, currentWindow: true }, async (tabs) => {
-          const tab = tabs[0]
-          await chrome.sidePanel.open({
-            windowId: tab.windowId!,
-          })
-        })
+        chrome.tabs.query(
+          { active: true, currentWindow: true },
+          async (tabs) => {
+            const tab = tabs[0]
+            await chrome.sidePanel.open({
+              windowId: tab.windowId!
+            })
+          }
+        )
       }
     })
   },
   persistent: true
-})
+})

src/hooks/chat-helper/index.ts

@@ -1,4 +1,4 @@
-import { saveHistory, saveMessage } from "@/libs/db"
+import { saveHistory, saveMessage } from "@/db"
 import { ChatHistory } from "@/store/option"
 
 export const saveMessageOnError = async ({

src/hooks/useMessageOption.tsx

@@ -15,7 +15,7 @@ import {
   getPromptById,
   removeMessageUsingHistoryId,
   updateMessageByIndex
-} from "~/libs/db"
+} from "@/db"
 import { useNavigate } from "react-router-dom"
 import { notification } from "antd"
 import { getSystemPromptForWeb } from "~/web/web"

src/i18n/lang/en.ts

@@ -3,12 +3,13 @@ import playground from "@/assets/locale/en/playground.json";
 import common from "@/assets/locale/en/common.json";
 import sidepanel from "@/assets/locale/en/sidepanel.json";
 import settings from "@/assets/locale/en/settings.json";
-
+import knownledge from "@/assets/locale/en/knownledge.json";
 
 export const en = {
     option,
     playground,
     common,
     sidepanel,
-    settings
+    settings,
+    knownledge
 }

src/i18n/lang/ja.ts

@@ -3,6 +3,7 @@ import playground from "@/assets/locale/ja-JP/playground.json";
 import common from "@/assets/locale/ja-JP/common.json";
 import sidepanel from "@/assets/locale/ja-JP/sidepanel.json";
 import settings from "@/assets/locale/ja-JP/settings.json";
+import knownledge from "@/assets/locale/ja-JP/knownledge.json";
 
 
 export const ja = {
@@ -10,5 +11,6 @@ export const ja = {
     playground,
     common,
     sidepanel,
-    settings
+    settings,
+    knownledge
 }

src/i18n/lang/ml.ts

@@ -3,12 +3,13 @@ import playground from "@/assets/locale/ml/playground.json";
 import common from "@/assets/locale/ml/common.json";
 import sidepanel from "@/assets/locale/ml/sidepanel.json";
 import settings from "@/assets/locale/ml/settings.json";
-
+import knownledge from "@/assets/locale/ml/knownledge.json";
 
 export const ml = {
     option,
     playground,
     common,
     sidepanel,
-    settings
+    settings,
+    knownledge
 }

src/i18n/lang/zh.ts

@@ -3,6 +3,7 @@ import playground from "@/assets/locale/zh/playground.json";
 import common from "@/assets/locale/zh/common.json";
 import sidepanel from "@/assets/locale/zh/sidepanel.json";
 import settings from "@/assets/locale/zh/settings.json";
+import knownledge from "@/assets/locale/zh/knownledge.json";
 
 
 export const zh = {
@@ -10,5 +11,6 @@ export const zh = {
     playground,
     common,
     sidepanel,
-    settings
+    settings,
+    knownledge
 }

src/libs/PageAssistVectorStore.ts

@@ -0,0 +1,201 @@
+import { similarity as ml_distance_similarity } from "ml-distance"
+import { VectorStore } from "@langchain/core/vectorstores"
+import type { EmbeddingsInterface } from "@langchain/core/embeddings"
+import { Document } from "@langchain/core/documents"
+import { getVector, insertVector } from "@/db/vector"
+
+/**
+ * Interface representing a vector in memory. It includes the content
+ * (text), the corresponding embedding (vector), and any associated
+ * metadata.
+ */
+interface PageAssistVector {
+  content: string
+  embedding: number[]
+  metadata: Record<string, any>
+}
+
+/**
+ * Interface for the arguments that can be passed to the
+ * `MemoryVectorStore` constructor. It includes an optional `similarity`
+ * function.
+ */
+export interface MemoryVectorStoreArgs {
+  knownledge_id: string
+  file_id?: string
+  similarity?: typeof ml_distance_similarity.cosine
+}
+
+/**
+ * Class that extends `VectorStore` to store vectors in memory. Provides
+ * methods for adding documents, performing similarity searches, and
+ * creating instances from texts, documents, or an existing index.
+ */
+export class PageAssistVectorStore extends VectorStore {
+  declare FilterType: (doc: Document) => boolean
+
+  knownledge_id: string
+
+  file_id?: string
+
+  // memoryVectors: PageAssistVector[] = []
+
+  similarity: typeof ml_distance_similarity.cosine
+
+  _vectorstoreType(): string {
+    return "memory"
+  }
+
+  constructor(embeddings: EmbeddingsInterface, args: MemoryVectorStoreArgs) {
+    super(embeddings, args)
+
+    this.similarity = args?.similarity ?? ml_distance_similarity.cosine
+
+    this.knownledge_id = args?.knownledge_id!
+
+    this.file_id = args?.file_id
+  }
+
+  /**
+   * Method to add documents to the memory vector store. It extracts the
+   * text from each document, generates embeddings for them, and adds the
+   * resulting vectors to the store.
+   * @param documents Array of `Document` instances to be added to the store.
+   * @returns Promise that resolves when all documents have been added.
+   */
+  async addDocuments(documents: Document[]): Promise<void> {
+    const texts = documents.map(({ pageContent }) => pageContent)
+    return this.addVectors(
+      await this.embeddings.embedDocuments(texts),
+      documents
+    )
+  }
+
+  /**
+   * Method to add vectors to the memory vector store. It creates
+   * `PageAssistVector` instances for each vector and document pair and adds
+   * them to the store.
+   * @param vectors Array of vectors to be added to the store.
+   * @param documents Array of `Document` instances corresponding to the vectors.
+   * @returns Promise that resolves when all vectors have been added.
+   */
+  async addVectors(vectors: number[][], documents: Document[]): Promise<void> {
+    const memoryVectors = vectors.map((embedding, idx) => ({
+      content: documents[idx].pageContent,
+      embedding,
+      metadata: documents[idx].metadata,
+      file_id: this.file_id
+    }))
+    console.log(`vector:${this.knownledge_id}`)
+    await insertVector(`vector:${this.knownledge_id}`, memoryVectors)
+  }
+
+  /**
+   * Method to perform a similarity search in the memory vector store. It
+   * calculates the similarity between the query vector and each vector in
+   * the store, sorts the results by similarity, and returns the top `k`
+   * results along with their scores.
+   * @param query Query vector to compare against the vectors in the store.
+   * @param k Number of top results to return.
+   * @param filter Optional filter function to apply to the vectors before performing the search.
+   * @returns Promise that resolves with an array of tuples, each containing a `Document` and its similarity score.
+   */
+  async similaritySearchVectorWithScore(
+    query: number[],
+    k: number,
+    filter?: this["FilterType"]
+  ): Promise<[Document, number][]> {
+    const filterFunction = (memoryVector: PageAssistVector) => {
+      if (!filter) {
+        return true
+      }
+
+      const doc = new Document({
+        metadata: memoryVector.metadata,
+        pageContent: memoryVector.content
+      })
+      return filter(doc)
+    }
+    const pgVector = await getVector(`vector:${this.knownledge_id}`)
+    const filteredMemoryVectors = pgVector.vectors.filter(filterFunction)
+    const searches = filteredMemoryVectors
+      .map((vector, index) => ({
+        similarity: this.similarity(query, vector.embedding),
+        index
+      }))
+      .sort((a, b) => (a.similarity > b.similarity ? -1 : 0))
+      .slice(0, k)
+
+    const result: [Document, number][] = searches.map((search) => [
+      new Document({
+        metadata: filteredMemoryVectors[search.index].metadata,
+        pageContent: filteredMemoryVectors[search.index].content
+      }),
+      search.similarity
+    ])
+
+    return result
+  }
+
+  /**
+   * Static method to create a `MemoryVectorStore` instance from an array of
+   * texts. It creates a `Document` for each text and metadata pair, and
+   * adds them to the store.
+   * @param texts Array of texts to be added to the store.
+   * @param metadatas Array or single object of metadata corresponding to the texts.
+   * @param embeddings `Embeddings` instance used to generate embeddings for the texts.
+   * @param dbConfig Optional `MemoryVectorStoreArgs` to configure the `MemoryVectorStore` instance.
+   * @returns Promise that resolves with a new `MemoryVectorStore` instance.
+   */
+  static async fromTexts(
+    texts: string[],
+    metadatas: object[] | object,
+    embeddings: EmbeddingsInterface,
+    dbConfig?: MemoryVectorStoreArgs
+  ): Promise<PageAssistVectorStore> {
+    const docs: Document[] = []
+    for (let i = 0; i < texts.length; i += 1) {
+      const metadata = Array.isArray(metadatas) ? metadatas[i] : metadatas
+      const newDoc = new Document({
+        pageContent: texts[i],
+        metadata
+      })
+      docs.push(newDoc)
+    }
+    return PageAssistVectorStore.fromDocuments(docs, embeddings, dbConfig)
+  }
+
+  /**
+   * Static method to create a `MemoryVectorStore` instance from an array of
+   * `Document` instances. It adds the documents to the store.
+   * @param docs Array of `Document` instances to be added to the store.
+   * @param embeddings `Embeddings` instance used to generate embeddings for the documents.
+   * @param dbConfig Optional `MemoryVectorStoreArgs` to configure the `MemoryVectorStore` instance.
+   * @returns Promise that resolves with a new `MemoryVectorStore` instance.
+   */
+  static async fromDocuments(
+    docs: Document[],
+    embeddings: EmbeddingsInterface,
+    dbConfig?: MemoryVectorStoreArgs
+  ): Promise<PageAssistVectorStore> {
+    const instance = new this(embeddings, dbConfig)
+    await instance.addDocuments(docs)
+    return instance
+  }
+
+  /**
+   * Static method to create a `MemoryVectorStore` instance from an existing
+   * index. It creates a new `MemoryVectorStore` instance without adding any
+   * documents or vectors.
+   * @param embeddings `Embeddings` instance used to generate embeddings for the documents.
+   * @param dbConfig Optional `MemoryVectorStoreArgs` to configure the `MemoryVectorStore` instance.
+   * @returns Promise that resolves with a new `MemoryVectorStore` instance.
+   */
+  static async fromExistingIndex(
+    embeddings: EmbeddingsInterface,
+    dbConfig?: MemoryVectorStoreArgs
+  ): Promise<PageAssistVectorStore> {
+    const instance = new this(embeddings, dbConfig)
+    return instance
+  }
+}

src/libs/get-html.ts

@@ -1,28 +1,4 @@
-import { pdfDist } from "./pdfjs"
-
-export const getPdf = async (data: ArrayBuffer) => {
-  const pdf = pdfDist.getDocument({
-    data,
-    useWorkerFetch: false,
-    isEvalSupported: false,
-    useSystemFonts: true,
-  });
-
-  pdf.onPassword = (callback: any) => {
-    const password = prompt("Enter the password: ")
-    if (!password) {
-      throw new Error("Password required to open the PDF.");
-    }
-    callback(password);
-  };
-
-
-  const pdfDocument = await pdf.promise;
-
-
-  return pdfDocument
-
-}
+import { getPdf } from "./pdf"
 
 const _getHtml = async () => {
   const url = window.location.href

src/libs/pdf.ts

@@ -0,0 +1,29 @@
+import { pdfDist } from "./pdfjs"
+
+export const getPdf = async (data: ArrayBuffer) => {
+  const pdf = pdfDist.getDocument({
+    data,
+    useWorkerFetch: false,
+    isEvalSupported: false,
+    useSystemFonts: true
+  })
+
+  pdf.onPassword = (callback: any) => {
+    const password = prompt("Enter the password: ")
+    if (!password) {
+      throw new Error("Password required to open the PDF.")
+    }
+    callback(password)
+  }
+
+  const pdfDocument = await pdf.promise
+
+  return pdfDocument
+}
+
+export const processPdf = async (base64: string) => {
+  const res = await fetch(base64)
+  const data = await res.arrayBuffer()
+  const pdf = await getPdf(data)
+  return pdf
+}

src/libs/process-knowledge.ts

@@ -0,0 +1,55 @@
+import { getKnowledgeById, updateKnowledgeStatus } from "@/db/knowledge"
+import { PageAssistPDFUrlLoader } from "@/loader/pdf-url"
+import {
+  defaultEmbeddingChunkOverlap,
+  defaultEmbeddingChunkSize
+} from "@/services/ollama"
+import { OllamaEmbeddings } from "@langchain/community/embeddings/ollama"
+import { RecursiveCharacterTextSplitter } from "langchain/text_splitter"
+import { PageAssistVectorStore } from "./PageAssistVectorStore"
+
+export const processKnowledge = async (msg: any, id: string): Promise<void> => {
+  console.log(`Processing knowledge with id: ${id}`)
+  try {
+    const knowledge = await getKnowledgeById(id)
+
+    if (!knowledge) {
+      console.error(`Knowledge with id ${id} not found`)
+      return
+    }
+
+    await updateKnowledgeStatus(id, "processing")
+
+    const ollamaEmbedding = new OllamaEmbeddings({
+      model: knowledge.embedding_model
+    })
+    const chunkSize = await defaultEmbeddingChunkSize()
+    const chunkOverlap = await defaultEmbeddingChunkOverlap()
+    const textSplitter = new RecursiveCharacterTextSplitter({
+      chunkSize,
+      chunkOverlap
+    })
+
+    for (const doc of knowledge.source) {
+      if (doc.type === "pdf" || doc.type === "application/pdf") {
+        const loader = new PageAssistPDFUrlLoader({
+          name: doc.filename,
+          url: doc.content
+        })
+        let docs = await loader.load()
+        const chunks = await textSplitter.splitDocuments(docs)
+        await PageAssistVectorStore.fromDocuments(chunks, ollamaEmbedding, {
+          knownledge_id: knowledge.id,
+          file_id: doc.source_id
+        })
+      }
+    }
+
+    await updateKnowledgeStatus(id, "finished")
+  } catch (error) {
+    console.error(`Error processing knowledge with id: ${id}`, error)
+    await updateKnowledgeStatus(id, "failed")
+  } finally {
+    console.log(`Finished processing knowledge with id: ${id}`)
+  }
+}

src/loader/pdf-url.ts

@@ -0,0 +1,49 @@
+import { BaseDocumentLoader } from "langchain/document_loaders/base"
+import { Document } from "@langchain/core/documents"
+import { processPdf } from "@/libs/pdf"
+export interface WebLoaderParams {
+  url: string
+  name: string
+}
+
+export class PageAssistPDFUrlLoader
+  extends BaseDocumentLoader
+  implements WebLoaderParams
+{
+  pdf: { content: string; page: number }[]
+  url: string
+  name: string
+
+  constructor({ url, name }: WebLoaderParams) {
+    super()
+    this.url = url
+    this.name = name
+  }
+
+  async load(): Promise<Document<Record<string, any>>[]> {
+    const documents: Document[] = []
+
+    const data = await processPdf(this.url)
+
+    for (let i = 1; i <= data.numPages; i += 1) {
+      const page = await data.getPage(i)
+      const content = await page.getTextContent()
+
+      if (content?.items.length === 0) {
+        continue
+      }
+
+      const text = content?.items
+        .map((item: any) => item.str)
+        .join("\n")
+        .replace(/\x00/g, "")
+        .trim()
+      documents.push({
+        pageContent: text,
+        metadata: { source: this.name, page: i }
+      })
+    }
+
+    return documents
+  }
+}

src/loader/pdf.ts

@@ -1,37 +1,36 @@
 import { BaseDocumentLoader } from "langchain/document_loaders/base"
 import { Document } from "@langchain/core/documents"
 export interface WebLoaderParams {
-    pdf: { content: string, page: number }[]
-    url: string
+  pdf: { content: string; page: number }[]
+  url: string
 }
 
 export class PageAssistPDFLoader
-    extends BaseDocumentLoader
-    implements WebLoaderParams {
-    pdf: { content: string, page: number }[]
-    url: string
+  extends BaseDocumentLoader
+  implements WebLoaderParams
+{
+  pdf: { content: string; page: number }[]
+  url: string
 
-    constructor({ pdf, url }: WebLoaderParams) {
-        super()
-        this.pdf = pdf
-        this.url = url
+  constructor({ pdf, url }: WebLoaderParams) {
+    super()
+    this.pdf = pdf
+    this.url = url
+  }
+
+  async load(): Promise<Document<Record<string, any>>[]> {
+    const documents: Document[] = []
+
+    for (const page of this.pdf) {
+      const metadata = { source: this.url, page: page.page }
+      documents.push(new Document({ pageContent: page.content, metadata }))
     }
 
-    async load(): Promise<Document<Record<string, any>>[]> {
-        const documents: Document[] = [];
-
-        for (const page of this.pdf) {
-            const metadata = { source: this.url, page: page.page }
-            documents.push(new Document({ pageContent: page.content, metadata }))
-        }
-
-        return [
-            new Document({
-                pageContent: documents.map((doc) => doc.pageContent).join("\n\n"),
-                metadata: documents.map((doc) => doc.metadata),
-            }),
-        ];
-
-
-    }
+    return [
+      new Document({
+        pageContent: documents.map((doc) => doc.pageContent).join("\n\n"),
+        metadata: documents.map((doc) => doc.metadata)
+      })
+    ]
+  }
 }

src/queue/index.ts

@@ -0,0 +1,6 @@
+import { processKnowledge } from "@/libs/process-knowledge"
+import PubSub from "pubsub-js"
+
+export const KNOWLEDGE_QUEUE = Symbol("queue")
+
+PubSub.subscribe(KNOWLEDGE_QUEUE, processKnowledge)

src/routes/option-settings-knowledge.tsx

@@ -1,11 +1,12 @@
 import { SettingsLayout } from "~/components/Layouts/SettingsOptionLayout"
 import OptionLayout from "~/components/Layouts/Layout"
+import { KnowledgeSettings } from "@/components/Option/Knowledge"
 
 export const OptionKnowledgeBase = () => {
   return (
     <OptionLayout>
       <SettingsLayout>
-        hey
+        <KnowledgeSettings />
       </SettingsLayout>
     </OptionLayout>
   )

src/utils/to-source.ts

@@ -0,0 +1,32 @@
+import { Source } from "@/db/knowledge"
+import { UploadFile } from "antd"
+
+export const toBase64 = (file: File | Blob): Promise<string> => {
+  return new Promise((resolve, reject) => {
+    const reader = new FileReader()
+    reader.readAsDataURL(file)
+    reader.onload = () => resolve(reader.result as string)
+    reader.onerror = (error) => reject(error)
+  })
+}
+
+export const toArrayBufferFromBase64 = async (base64: string) => {
+  const res = await fetch(base64)
+  const blob = await res.blob()
+  return await blob.arrayBuffer()
+}
+
+export const generateSourceId = () => {
+  return "XXXXXXXX-XXXX-4XXX-YXXX-XXXXXXXXXXXX".replace(/[XY]/g, (c) => {
+    const r = (Math.random() * 16) | 0
+    const v = c === "X" ? r : (r & 0x3) | 0x8
+    return v.toString(16)
+  })
+}
+
+export const convertToSource = async (file: UploadFile): Promise<Source> => {
+  let type = file.type
+  let filename = file.name
+  const content = await toBase64(file.originFileObj)
+  return { content, type, filename, source_id: generateSourceId() }
+}

wxt.config.ts

@@ -24,7 +24,7 @@ export default defineConfig({
   srcDir: "src",
   outDir: "build",
   manifest: {
-    version: "1.1.1",
+    version: "1.1.2",
     name: '__MSG_extName__',
     description: '__MSG_extDescription__',
     default_locale: 'en',