feat: add working workers with builds

.prettierrc

@@ -1,5 +1,5 @@
 {
   "tabWidth": 2,
   "useTabs": false,
-  "semi": false
+  "semi": true
 }

lib/inlineWorker.ts

@@ -0,0 +1,37 @@
+// vite-plugin-inline-worker-dev.ts
+import { Plugin } from 'vite'
+import fs from 'fs/promises'
+import { build, transform } from 'esbuild'
+
+export default function InlineWorkerDevPlugin(): Plugin {
+  return {
+    name: 'vite:inline-worker-dev',
+    async load(id) {
+      if (id.includes('?inlineWorker')) {
+        const [cleanPath] = id.split('?')
+        console.log('cleanPath', cleanPath)
+        const code = await fs.readFile(cleanPath, 'utf-8')
+        const result = await build({
+          entryPoints: [cleanPath],
+          bundle: true,
+          write: false,
+          platform: 'browser',
+          format: 'iife',
+          target: 'esnext',
+        })
+        
+        const workerCode = result.outputFiles[0].text        
+
+        const workerBlobCode = `
+          const code = ${JSON.stringify(workerCode)};
+          export default function InlineWorker() {
+            const blob = new Blob([code], { type: 'application/javascript' });
+            return new Worker(URL.createObjectURL(blob), { type: 'module' });
+          }
+        `
+        return workerBlobCode
+      }
+      return null
+    }
+  }
+}

src/declarations.d.ts

@@ -5,6 +5,11 @@ declare module '*.png';
 declare module '*.html';
 declare module '*.svelte';
 
+declare module '*?inlineWorker' {
+  const value: () => Worker;
+  export default value;
+}
+
 declare module "*.png?base64" {
   const value: string;
   export default value;

src/manifests/manifest.json

@@ -32,15 +32,7 @@
   ],
   "web_accessible_resources": [
     {
-      "resources": ["*/*"],
+      "resources": ["*/*", "resources/*", "seqta/utils/migration/migrate.html", "plugins/built-in/globalSearch/*"],
-      "matches": ["*://*/*"]
-    },
-    {
-      "resources": ["resources/*"],
-      "matches": ["*://*/*"]
-    },
-    {
-      "resources": ["seqta/utils/migration/migrate.html"],
       "matches": ["*://*/*"]
     }
   ]

src/plugins/built-in/globalSearch/SearchBar.svelte

@@ -3,12 +3,12 @@
   import { settingsState } from '@/seqta/utils/listeners/SettingsState'
   import { fade, scale } from 'svelte/transition';
   import { circOut, quintOut } from 'svelte/easing';
-  import { type StaticCommandItem } from './commands';
+  import { type StaticCommandItem } from './core/commands';
-  import type { CombinedResult } from './types';
+  import type { CombinedResult } from './core/types';
   import { createSearchIndexes, performSearch as doSearch } from './searchUtils';
   import { highlightMatch, highlightSnippet, stripHtmlButKeepHighlights } from './highlightUtils';
   import Fuse from 'fuse.js';
-  import Calculator from './Calculator.svelte';
+  import Calculator from './components/Calculator.svelte';
   import { actionMap } from './indexing/actions';
   import type { IndexItem, HydratedIndexItem } from './indexing/types';
 

src/plugins/built-in/globalSearch/client-vector-search-docs.md

@@ -20,27 +20,25 @@ Our goal is to build a super simple, fast vector search that works with couple h
 We'll initially keep things super simple and sub 100ms
 
 ### TODOs
+
 - [ ] add HNSW index that works on node and browser env, don't rely on hnsw binder libs
 - [ ] add a proper testing suite and ci/cd for the lib
   - [ ] simple health tests
     - [ ] mock the @xenova/transformers for jest, it's not happy with it
   - [ ] performance tests, recall, memory usage, cpu usage etc.
 
-
 ## Installation
 
 ```bash
 npm i client-vector-search
 ```
 
-
 ## Quickstart
 
 This library provides a plug-and-play solution for embedding and vector search. It's designed to be easy to use, efficient, and versatile. Here's a quick start guide:
 
-
 ```ts
-  import { getEmbedding, EmbeddingIndex } from 'client-vector-search';
+import { getEmbedding, EmbeddingIndex } from "client-vector-search";
 
 // getEmbedding is an async function, so you need to use 'await' or '.then()' to get the result
 const embedding = await getEmbedding("Apple"); // Returns embedding as number[]
@@ -56,14 +54,14 @@ This library provides a plug-and-play solution for embedding and vector search.
 const index = new EmbeddingIndex(initialObjects); // Creates an index
 
 // The query should be an embedding of type number[]
-  const queryEmbedding = await getEmbedding('Fruit'); // Query embedding
+const queryEmbedding = await getEmbedding("Fruit"); // Query embedding
 const results = await index.search(queryEmbedding, { topK: 5 }); // Returns top similar objects
 
 // specify the storage type
-  await index.saveIndex('indexedDB');
+await index.saveIndex("indexedDB");
 const results = await index.search([1, 2, 3], {
   topK: 5,
-    useStorage: 'indexedDB',
+  useStorage: "indexedDB",
   // storageOptions: { // use only if you overrode the defaults
   //   indexedDBName: 'clientVectorDB',
   //   indexedDBObjectStoreName: 'ClientEmbeddingStore',
@@ -78,6 +76,7 @@ This library provides a plug-and-play solution for embedding and vector search.
 ## Trouble-shooting
 
 ### NextJS
+
 To use it inside NextJS projects you'll need to update the `next.config.js` file to include the following:
 
 ```js
@@ -120,26 +119,31 @@ Until we have a reference documentation, you can find all the methods and their
 Let's get started!
 
 ### Step 1: Generate Embeddings for String
+
 Generate embeddings for a given string using the `getEmbedding` method.
 
 ```ts
 const embedding = await getEmbedding("Apple"); // Returns embedding as number[]
 ```
+
 > **Note**: `getEmbedding` is asynchronous; make sure to use `await`.
 
 ---
 
 ### Step 2: Calculate Cosine Similarity
+
 Calculate the cosine similarity between two embeddings.
 
 ```ts
 const similarity = cosineSimilarity(embedding1, embedding2, 6);
 ```
+
 > **Note**: Both embeddings should be of the same length.
 
 ---
 
 ### Step 3: Create an Index
+
 Create an index with an initial array of objects. Each object must have an 'embedding' property.
 
 ```ts
@@ -150,26 +154,37 @@ const index = new EmbeddingIndex(initialObjects);
 ---
 
 ### Step 4: Add to Index
+
 Add an object to the index.
 
 ```ts
-const objectToAdd = { id: 6, name: 'Cat', embedding: await getEmbedding('Cat') };
+const objectToAdd = {
+  id: 6,
+  name: "Cat",
+  embedding: await getEmbedding("Cat"),
+};
 index.add(objectToAdd);
 ```
 
 ---
 
 ### Step 5: Update Index
+
 Update an existing object in the index.
 
 ```ts
-const vectorToUpdate = { id: 6, name: 'Dog', embedding: await getEmbedding('Dog') };
+const vectorToUpdate = {
+  id: 6,
+  name: "Dog",
+  embedding: await getEmbedding("Dog"),
+};
 index.update({ id: 6 }, vectorToUpdate);
 ```
 
 ---
 
 ### Step 6: Remove from Index
+
 Remove an object from the index.
 
 ```ts
@@ -179,6 +194,7 @@ index.remove({ id: 6 });
 ---
 
 ### Step 7: Retrieve from Index
+
 Retrieve an object from the index.
 
 ```ts
@@ -188,16 +204,18 @@ const vector = index.get({ id: 1 });
 ---
 
 ### Step 8: Search the Index
+
 Search the index with a query embedding.
 
 ```ts
-const queryEmbedding = await getEmbedding('Fruit');
+const queryEmbedding = await getEmbedding("Fruit");
 const results = await index.search(queryEmbedding, { topK: 5 });
 ```
 
 ---
 
 ### Step 9: Print the Index
+
 Print the entire index to the console.
 
 ```ts
@@ -207,18 +225,23 @@ index.printIndex();
 ---
 
 ### Step 10: Save Index to IndexedDB (for browser)
+
 Save the index to a persistent IndexedDB database. Note
 
 ```ts
-await index.saveIndex("indexedDB", { DBName: "clientVectorDB", objectStoreName:"ClientEmbeddingStore"})
+await index.saveIndex("indexedDB", {
+  DBName: "clientVectorDB",
+  objectStoreName: "ClientEmbeddingStore",
+});
 ```
 
 ---
 
 ### Important: Search in indexedDB
+
 Perform a search operation in the IndexedDB.
 
-```ts
+````ts
 const results = await index.search(queryEmbedding, {
   topK: 5,
   useStorage: "indexedDB",
@@ -235,30 +258,36 @@ To delete an entire database.
 
 ```ts
 await IndexedDbManager.deleteIndexedDB("clientVectorDB");
-```
+````
 
 ---
 
 ### Delete Object Store
+
 To delete an object store from a database.
 
 ```ts
-await IndexedDbManager.deleteIndexedDBObjectStore("clientVectorDB", "ClientEmbeddingStore");
+await IndexedDbManager.deleteIndexedDBObjectStore(
+  "clientVectorDB",
+  "ClientEmbeddingStore",
+);
 ```
 
 ---
 
 ### Retrieve All Objects
+
 To retrieve all objects from a specific object store.
 
 ```ts
-const allObjects = await IndexedDbManager.getAllObjectsFromIndexedDB("clientVectorDB", "ClientEmbeddingStore");
+const allObjects = await IndexedDbManager.getAllObjectsFromIndexedDB(
+  "clientVectorDB",
+  "ClientEmbeddingStore",
+);
 ```
 
-
-
-
 # THE MAIN INDEX.TS FILE THAT YOU ARE IMPORTING FROM
+
 ```index.ts
 const DEFAULT_TOP_K = 3;
 

src/plugins/built-in/globalSearch/commands.ts

@@ -1,85 +0,0 @@
-import { settingsState } from '@/seqta/utils/listeners/SettingsState';
-import { loadHomePage } from '@/seqta/utils/Loaders/LoadHomePage';
-
-export interface BaseCommandItem {
-  id: string;
-  text: string;
-  category: string;
-  icon: string;
-  action: () => void;
-  keywords?: string[];
-  priority?: number;
-}
-
-export interface StaticCommandItem extends BaseCommandItem {
-  keybind?: string[];
-  keybindLabel?: string[];
-}
-
-const staticCommands: StaticCommandItem[] = [
-  {
-    id: 'home',
-    icon: '\ueb4c', 
-    category: 'navigation',
-    text: 'Home',
-    keybind: ['alt+h'],
-    keybindLabel: ['Alt', 'H'],
-    action: () => {
-      window.location.hash = '?page=/home';
-      loadHomePage();
-    },
-    priority: 4
-  },
-  {
-    id: 'messages',
-    icon: '\uebfd', 
-    category: 'navigation',
-    text: 'Direct Messages',
-    keybind: ['alt+m'],
-    keybindLabel: ['Alt', 'M'],
-    action: () => {
-      window.location.hash = '?page=/messages';
-    },
-    priority: 4
-  },
-  {
-    id: 'timetable',
-    icon: '\ue9cd', 
-    category: 'navigation',
-    text: 'Timetable',
-    keybind: ['alt+t'],
-    keybindLabel: ['Alt', 'T'],
-    action: () => {
-      window.location.hash = '?page=/timetable';
-    },
-    priority: 4
-  },
-  {
-    id: 'assessments',
-    icon: '\ueac3', 
-    category: 'navigation',
-    text: 'Assessments',
-    keybind: ['alt+a'],
-    keybindLabel: ['Alt', 'A'],
-    action: () => {
-      window.location.hash = '?page=/assessments';
-    },
-    priority: 4
-  },
-  {
-    id: 'toggle-dark-mode',
-    icon: '\uecfe',
-    category: 'action',
-    text: 'Toggle Dark Mode',
-    action: () => settingsState.DarkMode = !settingsState.DarkMode,
-    priority: 2,
-    keywords: ['theme', 'appearance']
-  }
-];
-
-/**
- * Returns the predefined list of static commands.
- */
-export const getStaticCommands = (): StaticCommandItem[] => {
-  return [...staticCommands]; 
-};

src/plugins/built-in/globalSearch/components/AssessmentItem.svelte

@@ -1,7 +1,7 @@
 <script lang="ts">
   import { highlightMatch, highlightSnippet, stripHtmlButKeepHighlights } from '../highlightUtils';
   import type { DynamicContentItem } from '../dynamicSearch';
-  import type { FuseResultMatch } from '../types';
+  import type { FuseResultMatch } from '../core/types';
 
   const { item, isSelected, searchTerm, matches } = $props<{
     item: DynamicContentItem;

src/plugins/built-in/globalSearch/components/unitMap.ts

@@ -0,0 +1,193 @@
+export const unitFullNames: Record<string, string> = {
+  // --- Length ---
+  m: "Meters",
+  km: "Kilometers",
+  cm: "Centimeters",
+  mm: "Millimeters",
+  µm: "Micrometers",
+  nm: "Nanometers",
+  pm: "Picometers",
+  fm: "Femtometers",
+  am: "Attometers",
+  zm: "Zeptometers",
+  ym: "Yoctometers",
+  mi: "Miles",
+  yd: "Yards",
+  ft: "Feet",
+  in: "Inches",
+  nmi: "Nautical Miles",
+  angstrom: "Angstroms",
+  au: "Astronomical Units",
+  ly: "Light Years",
+  pc: "Parsecs",
+
+  // --- Mass ---
+  kg: "Kilograms",
+  g: "Grams",
+  mg: "Milligrams",
+  µg: "Micrograms",
+  ng: "Nanograms",
+  lb: "Pounds",
+  oz: "Ounces",
+  ton: "Tons (Imperial)",
+  tonne: "Tonnes (Metric)",
+  slug: "Slugs",
+  stone: "Stones",
+
+  // --- Time ---
+  s: "Seconds",
+  ms: "Milliseconds",
+  µs: "Microseconds",
+  ns: "Nanoseconds",
+  ps: "Picoseconds",
+  min: "Minutes",
+  h: "Hours",
+  day: "Days",
+  week: "Weeks",
+  month: "Months (30 days)",
+  year: "Years (365 days)",
+  fortnight: "Fortnights",
+
+  // --- Temperature ---
+  K: "Kelvin",
+  degC: "Degrees Celsius",
+  degF: "Degrees Fahrenheit",
+  degR: "Degrees Rankine",
+
+  // --- Volume ---
+  "m³": "Cubic Meters",
+  "cm³": "Cubic Centimeters",
+  "mm³": "Cubic Millimeters",
+  l: "Liters",
+  ml: "Milliliters",
+  gal: "Gallons (US)",
+  qt: "Quarts (US)",
+  pt: "Pints (US)",
+  cup: "Cups (US)",
+  floz: "Fluid Ounces (US)",
+  tbsp: "Tablespoons (US)",
+  tsp: "Teaspoons (US)",
+
+  // --- Area ---
+  "m²": "Square Meters",
+  "km²": "Square Kilometers",
+  "cm²": "Square Centimeters",
+  "mm²": "Square Millimeters",
+  ha: "Hectares",
+  acre: "Acres",
+  "ft²": "Square Feet",
+  "in²": "Square Inches",
+  "mi²": "Square Miles",
+
+  // --- Speed ---
+  "m/s": "Meters per Second",
+  "km/h": "Kilometers per Hour",
+  mph: "Miles per Hour",
+  knot: "Knots",
+
+  // --- Acceleration ---
+  "m/s²": "Meters per Second Squared",
+
+  // --- Force ---
+  N: "Newtons",
+  lbf: "Pound-Force",
+  dyn: "Dynes",
+
+  // --- Energy ---
+  J: "Joules",
+  kJ: "Kilojoules",
+  cal: "Calories",
+  kcal: "Kilocalories",
+  Wh: "Watt Hours",
+  kWh: "Kilowatt Hours",
+  BTU: "British Thermal Units",
+  erg: "Ergs",
+  eV: "Electronvolts",
+
+  // --- Power ---
+  W: "Watts",
+  kW: "Kilowatts",
+  MW: "Megawatts",
+  GW: "Gigawatts",
+  hp: "Horsepower",
+
+  // --- Pressure ---
+  Pa: "Pascals",
+  kPa: "Kilopascals",
+  bar: "Bar",
+  atm: "Atmospheres",
+  psi: "Pounds per Square Inch",
+  torr: "Torr",
+  mmHg: "Millimeters of Mercury",
+
+  // --- Frequency ---
+  Hz: "Hertz",
+  kHz: "Kilohertz",
+  MHz: "Megahertz",
+  GHz: "Gigahertz",
+  THz: "Terahertz",
+
+  // --- Electric ---
+  V: "Volts",
+  A: "Amperes",
+  C: "Coulombs",
+  Ω: "Ohms",
+  F: "Farads",
+  S: "Siemens",
+  H: "Henries",
+  Wb: "Webers",
+  T: "Teslas",
+  lx: "Lux",
+
+  // --- Angle & Rotation ---
+  rad: "Radians",
+  deg: "Degrees",
+  grad: "Gradians",
+  cycle: "Cycles",
+  turn: "Turns",
+  rev: "Revolutions",
+
+  // --- Charge & Capacitance ---
+  e: "Elementary Charges",
+
+  // --- Magnetic & Light ---
+  lm: "Lumens",
+  ph: "Photons",
+
+  // --- Miscellaneous / Dimensionless ---
+  "%": "Percent",
+  ppm: "Parts per Million",
+  ppb: "Parts per Billion",
+  pptr: "Parts per Trillion",
+  dB: "Decibels",
+  bit: "Bits",
+  byte: "Bytes",
+
+  // --- Digital Storage ---
+  b: "Bits",
+  B: "Bytes",
+  kb: "Kilobits",
+  kB: "Kilobytes",
+  Mb: "Megabits",
+  MB: "Megabytes",
+  Gb: "Gigabits",
+  GB: "Gigabytes",
+  Tb: "Terabits",
+  TB: "Terabytes",
+
+  // --- Currency ---
+  USD: "US Dollars",
+  EUR: "Euros",
+  GBP: "British Pounds",
+  AUD: "Australian Dollars",
+  CAD: "Canadian Dollars",
+  CHF: "Swiss Francs",
+  JPY: "Japanese Yen",
+  CNY: "Chinese Yuan",
+  INR: "Indian Rupees",
+  NZD: "New Zealand Dollars",
+  SEK: "Swedish Krona",
+  NOK: "Norwegian Krone",
+  SGD: "Singapore Dollars",
+  HKD: "Hong Kong Dollars",
+};

src/plugins/built-in/globalSearch/core/commands.ts

@@ -0,0 +1,85 @@
+import { settingsState } from "@/seqta/utils/listeners/SettingsState";
+import { loadHomePage } from "@/seqta/utils/Loaders/LoadHomePage";
+
+export interface BaseCommandItem {
+  id: string;
+  text: string;
+  category: string;
+  icon: string;
+  action: () => void;
+  keywords?: string[];
+  priority?: number;
+}
+
+export interface StaticCommandItem extends BaseCommandItem {
+  keybind?: string[];
+  keybindLabel?: string[];
+}
+
+const staticCommands: StaticCommandItem[] = [
+  {
+    id: "home",
+    icon: "\ueb4c",
+    category: "navigation",
+    text: "Home",
+    keybind: ["alt+h"],
+    keybindLabel: ["Alt", "H"],
+    action: () => {
+      window.location.hash = "?page=/home";
+      loadHomePage();
+    },
+    priority: 4,
+  },
+  {
+    id: "messages",
+    icon: "\uebfd",
+    category: "navigation",
+    text: "Direct Messages",
+    keybind: ["alt+m"],
+    keybindLabel: ["Alt", "M"],
+    action: () => {
+      window.location.hash = "?page=/messages";
+    },
+    priority: 4,
+  },
+  {
+    id: "timetable",
+    icon: "\ue9cd",
+    category: "navigation",
+    text: "Timetable",
+    keybind: ["alt+t"],
+    keybindLabel: ["Alt", "T"],
+    action: () => {
+      window.location.hash = "?page=/timetable";
+    },
+    priority: 4,
+  },
+  {
+    id: "assessments",
+    icon: "\ueac3",
+    category: "navigation",
+    text: "Assessments",
+    keybind: ["alt+a"],
+    keybindLabel: ["Alt", "A"],
+    action: () => {
+      window.location.hash = "?page=/assessments";
+    },
+    priority: 4,
+  },
+  {
+    id: "toggle-dark-mode",
+    icon: "\uecfe",
+    category: "action",
+    text: "Toggle Dark Mode",
+    action: () => (settingsState.DarkMode = !settingsState.DarkMode),
+    priority: 2,
+    keywords: ["theme", "appearance"],
+  },
+];
+
+/**
+ * Returns the predefined list of static commands.
+ */
+export const getStaticCommands = (): StaticCommandItem[] => {
+  return [...staticCommands];
+};

src/plugins/built-in/globalSearch/core/index.ts

@@ -0,0 +1,176 @@
+import type { Plugin } from "@/plugins/core/types";
+import { BasePlugin } from "@/plugins/core/settings";
+import {
+  booleanSetting,
+  defineSettings,
+  Setting,
+  stringSetting,
+} from "@/plugins/core/settingsHelpers";
+import renderSvelte from "@/interface/main";
+import SearchBar from "../SearchBar.svelte";
+import styles from "./styles.css?inline";
+import { unmount } from "svelte";
+import { loadDynamicItems } from "../dynamicSearch";
+import { waitForElm } from "@/seqta/utils/waitForElm";
+import { runIndexing, loadAllStoredItems } from "../indexing/indexer";
+//import { initVectorSearch } from "../search/vector/vectorSearch";
+import { VectorWorkerManager } from "../indexing/worker/vectorWorkerManager";
+import indexWorker from "./indexWorker?inlineWorker";
+
+const settings = defineSettings({
+  searchHotkey: stringSetting({
+    default: "ctrl+k",
+    title: "Search Hotkey",
+    description: "Keyboard shortcut to open the search (cmd on Mac)",
+  }),
+  showRecentFirst: booleanSetting({
+    default: true,
+    title: "Show Recent First",
+    description: "Sort dynamic content by most recent first",
+  }),
+  transparencyEffects: booleanSetting({
+    default: true,
+    title: "Transparency Effects",
+    description: "Enable transparency effects for the search bar",
+  }),
+  runIndexingOnLoad: booleanSetting({
+    default: true,
+    title: "Index on Page Load",
+    description: "Run content indexing when SEQTA loads",
+  }),
+});
+
+class GlobalSearchPlugin extends BasePlugin<typeof settings> {
+  @Setting(settings.searchHotkey)
+  searchHotkey!: string;
+
+  @Setting(settings.showRecentFirst)
+  showRecentFirst!: boolean;
+
+  @Setting(settings.transparencyEffects)
+  transparencyEffects!: boolean;
+
+  @Setting(settings.runIndexingOnLoad)
+  runIndexingOnLoad!: boolean;
+}
+
+const settingsInstance = new GlobalSearchPlugin();
+
+const updateDynamicItemsFromIndex = async () => {
+  const indexedItems = await loadAllStoredItems();
+  loadDynamicItems(indexedItems);
+  console.log(`Loaded ${indexedItems.length} indexed items into search.`);
+
+  // Process items through vector search worker
+  const workerManager = VectorWorkerManager.getInstance();
+  await workerManager.processItems(indexedItems, (progress) => {
+    if (progress.status === "started") {
+      console.debug(`Starting vector processing of ${progress.total} items...`);
+    } else if (progress.status === "processing") {
+      console.debug(`Vectorized ${progress.processed}/${progress.total} items`);
+    } else if (progress.status === "complete") {
+      console.debug("Vector processing complete:", progress.message);
+    }
+  });
+
+  window.dispatchEvent(new CustomEvent("dynamic-items-updated"));
+};
+
+const globalSearchPlugin: Plugin<typeof settings> = {
+  id: "global-search",
+  name: "Global Search",
+  description: "Quick search for everything in SEQTA",
+  version: "1.0.0",
+  settings: settingsInstance.settings,
+  disableToggle: true,
+  styles: styles,
+
+  run: async (api) => {
+    let app: any;
+
+    console.log("=======================")
+    /* const worker = new Worker(new URL('./indexWorker.ts', import.meta.url), {
+      type: 'module',
+    }); */
+    //const blob = new Blob([indexWorker], { type: 'application/javascript' });
+    const worker = indexWorker();
+    worker.addEventListener("message", (e) => {
+      console.log(e);
+    });
+
+    worker.postMessage({ type: "ready" });
+    console.log("=======================")
+
+    // Run initial indexing and update dynamic items
+    if (api.settings.runIndexingOnLoad) {
+      setTimeout(async () => {
+        await runIndexing();
+        await updateDynamicItemsFromIndex();
+      }, 2000); // Delay initial indexing to let page load
+    }
+
+    const mountSearchBar = (titleElement: Element) => {
+      if (titleElement.querySelector(".search-trigger")) {
+        return;
+      }
+
+      const searchButton = document.createElement("div");
+      searchButton.className = "search-trigger";
+      searchButton.innerHTML = /* html */ `
+        <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+          <circle cx="11" cy="11" r="8"></circle>
+          <line x1="21" y1="21" x2="16.65" y2="16.65"></line>
+        </svg>
+
+        <p>Quick search...</p>
+        <span style="margin-left: auto; display: flex; align-items: center; color: #777; font-size: 12px;">⌘K</span>
+      `;
+
+      titleElement.appendChild(searchButton);
+
+      const searchRoot = document.createElement("div");
+      document.body.appendChild(searchRoot);
+      const searchRootShadow = searchRoot.attachShadow({ mode: "open" });
+
+      console.log("adding event listener to search button");
+
+      searchButton.addEventListener("click", () => {
+        console.log("search button clicked");
+        // @ts-ignore - Intentionally adding to window
+        window.setCommandPalleteOpen(true);
+      });
+
+      try {
+        app = renderSvelte(SearchBar, searchRootShadow, {
+          transparencyEffects: api.settings.transparencyEffects ? true : false,
+          showRecentFirst: api.settings.showRecentFirst,
+        });
+      } catch (error) {
+        console.error("Error rendering Svelte component:", error);
+      }
+    };
+
+    const title = document.querySelector("#title");
+
+    if (title) {
+      mountSearchBar(title);
+    } else {
+      await waitForElm("#title", true, 100, 60);
+      mountSearchBar(document.querySelector("#title") as Element);
+    }
+
+    return () => {
+      const searchButton = document.querySelector(".search-trigger");
+      const searchRoot = document.querySelector(".global-search-root");
+      if (searchButton) searchButton.remove();
+      if (searchRoot) searchRoot.remove();
+
+      // Clean up vector worker
+      VectorWorkerManager.getInstance().terminate();
+
+      unmount(app);
+    };
+  },
+};
+
+export default globalSearchPlugin;

src/plugins/built-in/globalSearch/core/indexWorker.ts

@@ -0,0 +1,5 @@
+self.addEventListener('message', (e: Event) => {
+  console.log(e);
+});
+
+self.postMessage({ type: 'ready' });

src/plugins/built-in/globalSearch/core/types.ts

@@ -1,5 +1,5 @@
-import type { StaticCommandItem } from './commands';
+import type { StaticCommandItem } from "./commands";
-import type { HydratedIndexItem } from './indexing/types';
+import type { HydratedIndexItem } from "../indexing/types";
 
 export interface MatchIndices {
   readonly 0: number;
@@ -14,7 +14,7 @@ export interface FuseResultMatch {
 
 export interface CombinedResult {
   id: string;
-  type: 'command' | 'dynamic';
+  type: "command" | "dynamic";
   score: number;
   item: StaticCommandItem | HydratedIndexItem;
   matches?: readonly FuseResultMatch[];

src/plugins/built-in/globalSearch/dynamicSearch.ts

@@ -1,5 +1,5 @@
-import type { SvelteComponent } from 'svelte';
+import type { SvelteComponent } from "svelte";
-import type { HydratedIndexItem } from './indexing/types';
+import type { HydratedIndexItem } from "./indexing/types";
 
 export interface DynamicContentItem {
   id: string;

src/plugins/built-in/globalSearch/highlightUtils.ts

@@ -1,31 +1,40 @@
-import type { FuseResultMatch, MatchIndices } from './types';
+import type { FuseResultMatch, MatchIndices } from "./core/types";
 
 /**
  * Simple utility to remove HTML tags from a string.
  */
 export function stripHtmlTags(html: string): string {
-  if (!html) return '';
+  if (!html) return "";
-  return html.replace(/<[^>]*>/g, '').replace('\n', ' ');
+  return html.replace(/<[^>]*>/g, "").replace("\n", " ");
 }
 
 /**
  * Removes HTML tags from a string, but preserves <span class="highlight"> tags.
  */
 export function stripHtmlButKeepHighlights(html: string): string {
-  if (!html) return '';
+  if (!html) return "";
   // Use a placeholder for highlight tags, strip others, then restore placeholders.
-  const highlightOpenPlaceholder = '__HIGHLIGHT_OPEN__';
+  const highlightOpenPlaceholder = "__HIGHLIGHT_OPEN__";
-  const highlightClosePlaceholder = '__HIGHLIGHT_CLOSE__';
+  const highlightClosePlaceholder = "__HIGHLIGHT_CLOSE__";
 
-  let processed = html.replace(/<span class="highlight">/g, highlightOpenPlaceholder);
+  let processed = html.replace(
+    /<span class="highlight">/g,
+    highlightOpenPlaceholder,
+  );
   processed = processed.replace(/<\/span>/g, (match, offset, fullString) => {
     // Only replace </span> if it likely corresponds to our highlight span
     // This is imperfect but helps avoid replacing unrelated spans.
     // Look backwards for the nearest opening placeholder.
-    const lastPlaceholder = fullString.lastIndexOf(highlightOpenPlaceholder, offset);
+    const lastPlaceholder = fullString.lastIndexOf(
+      highlightOpenPlaceholder,
+      offset,
+    );
     if (lastPlaceholder !== -1) {
       // Check if there's another opening tag between the placeholder and the closing span
-      const interveningContent = fullString.substring(lastPlaceholder + highlightOpenPlaceholder.length, offset);
+      const interveningContent = fullString.substring(
+        lastPlaceholder + highlightOpenPlaceholder.length,
+        offset,
+      );
       if (!/<span/i.test(interveningContent)) {
         return highlightClosePlaceholder;
       }
@@ -34,11 +43,17 @@ export function stripHtmlButKeepHighlights(html: string): string {
   });
 
   // Strip all remaining HTML tags
-  processed = processed.replace(/<[^>]*>/g, '');
+  processed = processed.replace(/<[^>]*>/g, "");
 
   // Restore the highlight tags
-  processed = processed.replace(new RegExp(highlightOpenPlaceholder, 'g'), '<span class="highlight">');
+  processed = processed.replace(
-  processed = processed.replace(new RegExp(highlightClosePlaceholder, 'g'), '</span>');
+    new RegExp(highlightOpenPlaceholder, "g"),
+    '<span class="highlight">',
+  );
+  processed = processed.replace(
+    new RegExp(highlightClosePlaceholder, "g"),
+    "</span>",
+  );
 
   return processed;
 }
@@ -46,18 +61,23 @@ export function stripHtmlButKeepHighlights(html: string): string {
 export function highlightMatch(
   text: string,
   term: string,
-  matches?: readonly FuseResultMatch[]
+  matches?: readonly FuseResultMatch[],
 ): string {
   if (!term.trim() || !matches || matches.length === 0) return text;
 
   try {
     // Find matches for the text field or allContent that contains the text
-    const fieldMatches = matches.find(match => 
+    const fieldMatches = matches.find(
-      match.key === 'text' || 
+      (match) =>
-      (match.key === 'allContent' && match.value?.includes(text))
+        match.key === "text" ||
+        (match.key === "allContent" && match.value?.includes(text)),
     );
 
-    if (!fieldMatches || !fieldMatches.indices || fieldMatches.indices.length === 0) {
+    if (
+      !fieldMatches ||
+      !fieldMatches.indices ||
+      fieldMatches.indices.length === 0
+    ) {
       return text;
     }
 
@@ -68,7 +88,7 @@ export function highlightMatch(
       const start = indices[0];
       const end = indices[1];
 
-      if (fieldMatches.key === 'allContent') {
+      if (fieldMatches.key === "allContent") {
         // Find where our text appears in the allContent
         const allContent = fieldMatches.value;
         const textPos = allContent?.indexOf(text) ?? -1;
@@ -82,7 +102,11 @@ export function highlightMatch(
           // Only highlight if the match actually overlaps with our text field
           if (relEnd >= 0 && relStart < text.length) {
             // Mark the overlapping characters
-            for (let i = Math.max(0, relStart); i <= Math.min(text.length - 1, relEnd); i++) {
+            for (
+              let i = Math.max(0, relStart);
+              i <= Math.min(text.length - 1, relEnd);
+              i++
+            ) {
               highlightMap[i] = true;
             }
           }
@@ -97,7 +121,7 @@ export function highlightMatch(
       }
     });
 
-    let result = '';
+    let result = "";
     let inHighlight = false;
 
     for (let i = 0; i < text.length; i++) {
@@ -105,7 +129,7 @@ export function highlightMatch(
         result += '<span class="highlight">';
         inHighlight = true;
       } else if (!highlightMap[i] && inHighlight) {
-        result += '</span>';
+        result += "</span>";
         inHighlight = false;
       }
 
@@ -113,12 +137,12 @@ export function highlightMatch(
     }
 
     if (inHighlight) {
-      result += '</span>';
+      result += "</span>";
     }
 
     return result;
   } catch (e) {
-    console.error('Error highlighting match:', e);
+    console.error("Error highlighting match:", e);
     return text;
   }
 }
@@ -127,40 +151,52 @@ export function highlightMatch(
 export function highlightSnippet(
   content: string,
   term: string,
-  matches?: readonly FuseResultMatch[]
+  matches?: readonly FuseResultMatch[],
 ): string {
-  if (!content || !term.trim() || !matches || matches.length === 0) return content;
+  if (!content || !term.trim() || !matches || matches.length === 0)
+    return content;
 
   try {
     // Find matches for content field or allContent that contains the content
-    const contentMatches = matches.find(match => 
+    const contentMatches = matches.find(
-      match.key === 'content' || 
+      (match) =>
-      (match.key === 'allContent' && match.value?.includes(content))
+        match.key === "content" ||
+        (match.key === "allContent" && match.value?.includes(content)),
     );
 
-    if (!contentMatches || !contentMatches.indices || contentMatches.indices.length === 0) {
+    if (
+      !contentMatches ||
+      !contentMatches.indices ||
+      contentMatches.indices.length === 0
+    ) {
       // No content matches, return plain content
-      return content.length > 100 ? content.substring(0, 100) + '...' : content;
+      return content.length > 100 ? content.substring(0, 100) + "..." : content;
     }
 
     // Find the match indices
     let allIndices: MatchIndices[] = contentMatches.indices as MatchIndices[];
 
     // If matching against allContent, adjust indices to be relative to content
-    if (contentMatches.key === 'allContent') {
+    if (contentMatches.key === "allContent") {
       const allContent = contentMatches.value;
       const contentPos = allContent?.indexOf(content) ?? -1;
 
       if (contentPos >= 0) {
         // Adjust indices to be relative to the content field
         allIndices = allIndices
-          .map(indices => [indices[0] - contentPos, indices[1] - contentPos] as MatchIndices)
+          .map(
-          .filter(indices => indices[1] >= 0 && indices[0] < content.length);
+            (indices) =>
+              [
+                indices[0] - contentPos,
+                indices[1] - contentPos,
+              ] as MatchIndices,
+          )
+          .filter((indices) => indices[1] >= 0 && indices[0] < content.length);
       }
     }
 
     if (allIndices.length === 0) {
-      return content.length > 100 ? content.substring(0, 100) + '...' : content;
+      return content.length > 100 ? content.substring(0, 100) + "..." : content;
     }
 
     // Find a good center point for our snippet (average of first match)
@@ -174,8 +210,8 @@ export function highlightSnippet(
 
     // Create the basic snippet
     let snippet = content.substring(start, end);
-    if (start > 0) snippet = '...' + snippet;
+    if (start > 0) snippet = "..." + snippet;
-    if (end < content.length) snippet += '...';
+    if (end < content.length) snippet += "...";
 
     // Create a highlighting map for the snippet
     const snippetLength = snippet.length;
@@ -194,7 +230,10 @@ export function highlightSnippet(
 
       // Adjust match indices to be relative to snippet
       const snippetMatchStart = Math.max(0, matchStart - startOffset);
-      const snippetMatchEnd = Math.min(snippetLength - 1, matchEnd - startOffset);
+      const snippetMatchEnd = Math.min(
+        snippetLength - 1,
+        matchEnd - startOffset,
+      );
 
       // Mark characters for highlighting
       for (let i = snippetMatchStart; i <= snippetMatchEnd; i++) {
@@ -205,7 +244,7 @@ export function highlightSnippet(
     });
 
     // Build the highlighted snippet
-    let result = '';
+    let result = "";
     let inHighlight = false;
 
     for (let i = 0; i < snippetLength; i++) {
@@ -214,7 +253,7 @@ export function highlightSnippet(
         result += '<span class="highlight">';
         inHighlight = true;
       } else if (!highlightMap[i] && inHighlight) {
-        result += '</span>';
+        result += "</span>";
         inHighlight = false;
       }
 
@@ -224,12 +263,12 @@ export function highlightSnippet(
 
     // Close highlight tag if we're still in one at the end
     if (inHighlight) {
-      result += '</span>';
+      result += "</span>";
     }
 
     return result;
   } catch (e) {
-    console.error('Error highlighting snippet:', e);
+    console.error("Error highlighting snippet:", e);
-    return content.length > 100 ? content.substring(0, 100) + '...' : content;
+    return content.length > 100 ? content.substring(0, 100) + "..." : content;
   }
 }

src/plugins/built-in/globalSearch/index.ts

@@ -1,189 +0,0 @@
-import type { Plugin } from '@/plugins/core/types';
-import { BasePlugin } from '@/plugins/core/settings';
-import { booleanSetting, defineSettings, Setting, stringSetting } from '@/plugins/core/settingsHelpers';
-import renderSvelte from '@/interface/main';
-import SearchBar from './SearchBar.svelte';
-import styles from './styles.css?inline';
-import { unmount } from 'svelte';
-import { loadDynamicItems } from './dynamicSearch';
-import { waitForElm } from '@/seqta/utils/waitForElm';
-import { loadAllStoredItems, runIndexing } from './indexing/indexer';
-
-const settings = defineSettings({
-  searchHotkey: stringSetting({
-    default: 'ctrl+k',
-    title: 'Search Hotkey',
-    description: 'Keyboard shortcut to open the search (cmd on Mac)',
-  }),
-  showRecentFirst: booleanSetting({
-    default: true,
-    title: 'Show Recent First',
-    description: 'Sort dynamic content by most recent first',
-  }),
-  transparencyEffects: booleanSetting({
-    default: true,
-    title: 'Transparency Effects',
-    description: 'Enable transparency effects for the search bar',
-  }),
-  runIndexingOnLoad: booleanSetting({
-    default: true,
-    title: 'Index on Page Load',
-    description: 'Run content indexing when SEQTA loads',
-  }),
-});
-
-class GlobalSearchPlugin extends BasePlugin<typeof settings> {
-  @Setting(settings.searchHotkey)
-  searchHotkey!: string;
-
-  @Setting(settings.showRecentFirst)
-  showRecentFirst!: boolean;
-
-  @Setting(settings.transparencyEffects)
-  transparencyEffects!: boolean;
-  
-  @Setting(settings.runIndexingOnLoad)
-  runIndexingOnLoad!: boolean;
-}
-
-const settingsInstance = new GlobalSearchPlugin();
-
-/* const createSampleDynamicData = (): DynamicContentItem[] => {
-  const sampleMessages = [
-    {
-      id: 'message_1',
-      text: 'Assignment Discussion',
-      category: 'messages',
-      contentType: 'message' as const,
-      icon: '\uea6e',
-      content: 'Hey everyone, I was wondering if anyone could help me with the Physics assignment on circular motion. I\'m stuck on question 3 about centripetal force.',
-      dateAdded: Date.now() - 1000 * 60 * 60 * 2,
-      action: () => console.log('Open message 1'),
-      keywords: ['John Smith', 'message', 'chat'],
-      metadata: { author: 'John Smith'}
-    },
-  ];
-
-  const sampleCourses = [
-    {
-      id: 'course_1',
-      text: 'Physics 101',
-      category: 'courses',
-      contentType: 'course' as const,
-      icon: '\uea67',
-      content: 'An introduction to mechanics, thermodynamics, and wave phenomena.',
-      dateAdded: Date.now() - 1000 * 60 * 60 * 24 * 5, // 5 days ago
-      action: () => console.log('Open Physics course'),
-      keywords: ['Dr. Richard Feynman', 'course', 'class'],
-      metadata: { teacher: 'Dr. Richard Feynman' }
-    },
-  ];
-
-  const sampleAssessments = [
-     {
-      id: 'assessment_1',
-      text: 'Physics Lab Report',
-      category: 'assessments',
-      contentType: 'assessment' as const,
-      icon: '\uebb3',
-      content: 'Complete a lab report on the pendulum experiment.',
-      dateAdded: Date.now() - 1000 * 60 * 60 * 24, // 1 day ago
-      action: () => console.log('Open Physics assessment'),
-      keywords: ['Physics 101', 'assessment', 'homework'],
-      metadata: { dueDate: Date.now() + 1000 * 60 * 60 * 24 * 3 } 
-    },
-  ];
-
-  return [...sampleMessages, ...sampleCourses, ...sampleAssessments];
-}; */
-
-// Update dynamic items directly from the indexer without conversion
-const updateDynamicItemsFromIndex = async () => {
-  const indexedItems = await loadAllStoredItems();
-  loadDynamicItems(indexedItems);
-  console.log(`Loaded ${indexedItems.length} indexed items into search.`);
-  window.dispatchEvent(new CustomEvent('dynamic-items-updated'));
-};
-
-const globalSearchPlugin: Plugin<typeof settings> = {
-  id: 'global-search',
-  name: 'Global Search',
-  description: 'Quick search for everything in SEQTA',
-  version: '1.0.0',
-  settings: settingsInstance.settings,
-  disableToggle: true,
-  styles: styles,
-
-  run: async (api) => {
-    let app: any;
-    
-    // Run initial indexing and update dynamic items
-    if (api.settings.runIndexingOnLoad) {
-      setTimeout(async () => {
-        await runIndexing();
-        await updateDynamicItemsFromIndex();
-      }, 2000); // Delay initial indexing to let page load
-    }
-
-    const mountSearchBar = (titleElement: Element) => {
-      if (titleElement.querySelector('.search-trigger')) {
-        return;
-      }
-      
-      const searchButton = document.createElement('div');
-      searchButton.className = 'search-trigger';
-      searchButton.innerHTML = `
-        <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
-          <circle cx="11" cy="11" r="8"></circle>
-          <line x1="21" y1="21" x2="16.65" y2="16.65"></line>
-        </svg>
-
-        <p>Quick search...</p>
-        <span style="margin-left: auto; display: flex; align-items: center; color: #777; font-size: 12px;">⌘K</span>
-      `;
-      
-      titleElement.appendChild(searchButton);
-      
-      const searchRoot = document.createElement('div');
-      document.body.appendChild(searchRoot);
-      const searchRootShadow = searchRoot.attachShadow({ mode: 'open' });
-      
-      console.log('adding event listener to search button');
-      
-      searchButton.addEventListener('click', () => {
-        console.log('search button clicked');
-        // @ts-ignore - Intentionally adding to window
-        window.setCommandPalleteOpen(true);
-      });
-      
-      try {
-        app = renderSvelte(SearchBar, searchRootShadow, {
-          transparencyEffects: api.settings.transparencyEffects ? true : false,
-          showRecentFirst: api.settings.showRecentFirst
-        });
-      } catch (error) {
-        console.error('Error rendering Svelte component:', error);
-      }
-    }
-
-    const title = document.querySelector('#title');
-
-    if (title) {
-      mountSearchBar(title);
-    } else {
-      await waitForElm('#title', true, 100, 60);
-      mountSearchBar(document.querySelector('#title') as Element);
-    }
-
-    return () => {
-      const searchButton = document.querySelector('.search-trigger');
-      const searchRoot = document.querySelector('.global-search-root');
-      if (searchButton) searchButton.remove();
-      if (searchRoot) searchRoot.remove();
-
-      unmount(app);
-    };
-  }
-};
-
-export default globalSearchPlugin; 

src/plugins/built-in/globalSearch/indexing/actions.ts

@@ -1,4 +1,4 @@
-import type { IndexItem } from './types';
+import type { IndexItem } from "./types";
 
 interface MessageMetadata {
   messageId: number;
@@ -36,5 +36,5 @@ export const actionMap: Record<string, ActionHandler<any>> = {
     } else {
       window.location.hash = `#?page=/assessments&id=${item.metadata.assessmentId}`;
     }
-  }) as ActionHandler<any>
+  }) as ActionHandler<any>,
 };

src/plugins/built-in/globalSearch/indexing/db.ts

@@ -1,6 +1,6 @@
-const DB_NAME = 'betterseqta-index';
+const DB_NAME = "betterseqta-index";
-const META_STORE = 'meta';
+const META_STORE = "meta";
-const VERSION_KEY = 'betterseqta-index-version';
+const VERSION_KEY = "betterseqta-index-version";
 
 let dbPromise: Promise<IDBDatabase> | null = null;
 
@@ -27,7 +27,7 @@ function openDB(): Promise<IDBDatabase> {
       request = indexedDB.open(DB_NAME, currentVersion);
     } catch (e) {
       // If there's a version error, try to delete the database and start fresh
-      console.warn('Database version conflict, recreating database...');
+      console.warn("Database version conflict, recreating database...");
       indexedDB.deleteDatabase(DB_NAME);
       localStorage.removeItem(VERSION_KEY);
       request = indexedDB.open(DB_NAME, 1);
@@ -50,7 +50,7 @@ function openDB(): Promise<IDBDatabase> {
     request.onsuccess = () => resolve(request.result);
 
     request.onerror = () => {
-      console.error('Error opening database:', request.error);
+      console.error("Error opening database:", request.error);
       // If there's an error, try to recover by deleting and recreating
       indexedDB.deleteDatabase(DB_NAME);
       localStorage.removeItem(VERSION_KEY);
@@ -61,7 +61,7 @@ function openDB(): Promise<IDBDatabase> {
   return dbPromise;
 }
 
-async function getStore(store: string, mode: IDBTransactionMode = 'readonly') {
+async function getStore(store: string, mode: IDBTransactionMode = "readonly") {
   const db = await openDB();
 
   // Create store dynamically if needed
@@ -82,7 +82,7 @@ function upgradeDB(newStore: string): Promise<void> {
 
     // Close any existing connections
     if (dbPromise) {
-      dbPromise.then(db => db.close());
+      dbPromise.then((db) => db.close());
       dbPromise = null;
     }
 
@@ -103,7 +103,7 @@ function upgradeDB(newStore: string): Promise<void> {
     };
 
     request.onerror = () => {
-      console.error('Error upgrading database:', request.error);
+      console.error("Error upgrading database:", request.error);
       reject(request.error);
     };
   });
@@ -137,9 +137,13 @@ export async function get(store: string, key: string): Promise<any> {
   }
 }
 
-export async function put(store: string, value: any, key?: string): Promise<void> {
+export async function put(
+  store: string,
+  value: any,
+  key?: string,
+): Promise<void> {
   try {
-    const s = await getStore(store, 'readwrite');
+    const s = await getStore(store, "readwrite");
     return new Promise((resolve, reject) => {
       const req = key ? s.put(value, key) : s.put(value);
       req.onsuccess = () => resolve();
@@ -153,7 +157,7 @@ export async function put(store: string, value: any, key?: string): Promise<void
 
 export async function remove(store: string, key: string): Promise<void> {
   try {
-    const s = await getStore(store, 'readwrite');
+    const s = await getStore(store, "readwrite");
     return new Promise((resolve, reject) => {
       const req = s.delete(key);
       req.onsuccess = () => resolve();
@@ -167,7 +171,7 @@ export async function remove(store: string, key: string): Promise<void> {
 
 export async function clear(store: string): Promise<void> {
   try {
-    const s = await getStore(store, 'readwrite');
+    const s = await getStore(store, "readwrite");
     return new Promise((resolve, reject) => {
       const req = s.clear();
       req.onsuccess = () => resolve();

src/plugins/built-in/globalSearch/indexing/indexer.ts

@@ -1,27 +1,104 @@
-import { clear, getAll, put, remove } from './db';
+import { clear, getAll, put, remove } from "./db";
-import { jobs } from './jobs';
+import { jobs } from "./jobs";
-import { renderComponentMap } from './renderComponents';
+import { renderComponentMap } from "./renderComponents";
-import type { HydratedIndexItem, IndexItem, Job, JobContext } from './types';
+import type { HydratedIndexItem, IndexItem, Job, JobContext } from "./types";
-import { processItems } from '../vectorSearch';
+import { EmbeddingIndex, getEmbedding, initializeModel } from "client-vector-search";
 
-const META_STORE = 'meta';
+const META_STORE = "meta";
-const LOCK_KEY = 'bsq-indexer-lock';
+const LOCK_KEY = "bsq-indexer-lock";
 const HEARTBEAT_INTERVAL = 10000;
 const LOCK_TIMEOUT = 20000;
 
 let heartbeatTimer: ReturnType<typeof setInterval> | null = null;
 
+let vectorIndex: EmbeddingIndex | null = null;
+let isInitialized = false;
+
+async function initVectorSearch() {
+  if (isInitialized) return;
+
+  try {
+    await initializeModel();
+    vectorIndex = new EmbeddingIndex([]);
+    // Load existing items from IndexedDB
+    const stored = await vectorIndex.getAllObjectsFromIndexedDB();
+    if (stored.length > 0) {
+      stored.forEach((item) => vectorIndex!.add(item));
+      console.debug("Vector index loaded from IndexedDB");
+    }
+    isInitialized = true;
+  } catch (e) {
+    console.error("Failed to initialize vector search:", e);
+    throw e;
+  }
+}
+
+async function vectorizeItem(
+  item: HydratedIndexItem,
+): Promise<HydratedIndexItem & { embedding: number[] }> {
+  const textToEmbed = [
+    item.text,
+    item.content,
+    item.category,
+    item.metadata?.author,
+    item.metadata?.subject,
+  ]
+    .filter(Boolean)
+    .join(" ");
+
+  const embedding = await getEmbedding(textToEmbed);
+  return { ...item, embedding };
+}
+
+async function processItems(items: HydratedIndexItem[]) {
+  if (!vectorIndex) await initVectorSearch();
+
+  const unprocessedItems = items.filter((item) => {
+    try {
+      return !vectorIndex!.get({ id: item.id });
+    } catch {
+      return true;
+    }
+  });
+
+  if (unprocessedItems.length === 0) {
+    console.debug("No new items to vectorize");
+    return;
+  }
+
+  console.debug(`Vectorizing ${unprocessedItems.length} new items...`);
+
+  // Process in batches to avoid UI freeze
+  const BATCH_SIZE = 5;
+  for (let i = 0; i < unprocessedItems.length; i += BATCH_SIZE) {
+    const batch = unprocessedItems.slice(i, i + BATCH_SIZE);
+    const vectorized = await Promise.all(batch.map(vectorizeItem));
+
+    for (const item of vectorized) {
+      vectorIndex!.add(item);
+    }
+
+    // Save periodically to avoid losing progress
+    await vectorIndex!.saveIndex("indexedDB");
+
+    // Log progress
+    console.debug(
+      `Vectorized ${Math.min(i + BATCH_SIZE, unprocessedItems.length)}/${unprocessedItems.length} items`,
+    );
+  }
+}
+
 function shouldRun(job: Job, lastRun?: number): boolean {
   const now = Date.now();
 
-  if (job.frequency === 'pageLoad') return true;
+  if (job.frequency === "pageLoad") return true;
   if (!lastRun) return true;
 
-  if (job.frequency.type === 'interval') {
+  if (job.frequency.type === "interval") {
     return now - lastRun >= job.frequency.ms;
   }
 
-  if (job.frequency.type === 'expiry') {
+  if (job.frequency.type === "expiry") {
     return now - lastRun >= job.frequency.afterMs;
   }
 
@@ -29,7 +106,7 @@ function shouldRun(job: Job, lastRun?: number): boolean {
 }
 
 function getLastRunMeta(jobId: string): Promise<number | undefined> {
-  return getAll(META_STORE).then(metaItems => {
+  return getAll(META_STORE).then((metaItems) => {
     const match = metaItems.find((m: any) => m.jobId === jobId);
     return match?.lastRun;
   });
@@ -40,7 +117,7 @@ async function updateLastRunMeta(jobId: string): Promise<void> {
 }
 
 function shouldIndex(): boolean {
-  const last = parseInt(localStorage.getItem(LOCK_KEY) || '0', 10);
+  const last = parseInt(localStorage.getItem(LOCK_KEY) || "0", 10);
   return isNaN(last) || Date.now() - last > LOCK_TIMEOUT;
 }
 
@@ -57,8 +134,8 @@ function stopHeartbeat() {
 }
 
 function dispatchProgress(completed: number, total: number, indexing: boolean) {
-  const event = new CustomEvent('indexing-progress', {
+  const event = new CustomEvent("indexing-progress", {
-    detail: { completed, total, indexing }
+    detail: { completed, total, indexing },
   });
   window.dispatchEvent(event);
 }
@@ -84,12 +161,15 @@ export async function loadAllStoredItems(): Promise<HydratedIndexItem[]> {
 
 export async function runIndexing(): Promise<void> {
   if (!shouldIndex()) {
-    console.debug('%c[Indexer] Skipping indexing (another tab has the lock)', 'color: gray');
+    console.debug(
+      "%c[Indexer] Skipping indexing (another tab has the lock)",
+      "color: gray",
+    );
     return;
   }
 
   startHeartbeat();
-  console.debug('%c[Indexer] Starting indexing...', 'color: green');
+  console.debug("%c[Indexer] Starting indexing...", "color: green");
 
   const jobIds = Object.keys(jobs);
   let completedJobs = 0;
@@ -102,7 +182,10 @@ export async function runIndexing(): Promise<void> {
     const lastRun = await getLastRunMeta(jobId);
 
     if (!shouldRun(job, lastRun)) {
-      console.debug(`%c[Indexer] Skipping job "${jobId}" (not due)`, 'color: gray');
+      console.debug(
+        `%c[Indexer] Skipping job "${jobId}" (not due)`,
+        "color: gray",
+      );
       completedJobs++;
       dispatchProgress(completedJobs, jobIds.length, true);
       continue;
@@ -111,7 +194,7 @@ export async function runIndexing(): Promise<void> {
     const getStoredItems = async () => await getAll(jobId);
     const setStoredItems = async (items: IndexItem[]) => {
       await clear(jobId);
-      await Promise.all(items.map(i => put(jobId, i, i.id)));
+      await Promise.all(items.map((i) => put(jobId, i, i.id)));
     };
     const addItem = async (item: IndexItem) => {
       await put(jobId, item, item.id);
@@ -127,7 +210,7 @@ export async function runIndexing(): Promise<void> {
       removeItem,
     };
 
-    console.debug(`%c[Indexer] Running job "${jobId}"...`, 'color: #4ea1ff');
+    console.debug(`%c[Indexer] Running job "${jobId}"...`, "color: #4ea1ff");
 
     try {
       const newItems = await job.run(ctx);
@@ -140,15 +223,18 @@ export async function runIndexing(): Promise<void> {
       await updateLastRunMeta(jobId);
 
       // Add to our collection of new items for vector processing
-      const hydratedItems = merged.map(item => ({
+      const hydratedItems = merged.map((item) => ({
         ...item,
-        renderComponent: renderComponentMap[job.renderComponentId]
+        renderComponent: renderComponentMap[job.renderComponentId],
       }));
       allNewItems.push(...hydratedItems);
 
-      console.debug(`%c[Indexer] ✅ ${job.label}: ${newItems.length} items indexed`, 'color: #00c46f');
+      console.debug(
+        `%c[Indexer] ✅ ${job.label}: ${newItems.length} items indexed`,
+        "color: #00c46f",
+      );
     } catch (err) {
-      console.debug(`%c[Indexer] ❌ ${job.label} failed:`, 'color: red');
+      console.debug(`%c[Indexer] ❌ ${job.label} failed:`, "color: red");
       console.error(err);
     }
 
@@ -158,7 +244,10 @@ export async function runIndexing(): Promise<void> {
 
   // Process all new items through vector search
   if (allNewItems.length > 0) {
-    console.debug(`%c[Indexer] Processing ${allNewItems.length} items for vector search...`, 'color: #4ea1ff');
+    console.debug(
+      `%c[Indexer] Processing ${allNewItems.length} items for vector search...`,
+      "color: #4ea1ff",
+    );
     await processItems(allNewItems);
   }
 

src/plugins/built-in/globalSearch/indexing/jobs.ts

@@ -1,9 +1,9 @@
-import type { Job } from './types';
+import type { Job } from "./types";
-import type { IndexItem } from './types';
+import type { IndexItem } from "./types";
 
 interface MessageNotification {
   notificationID: number;
-  type: 'message';
+  type: "message";
   message: {
     subtitle: string;
     messageID: number;
@@ -14,7 +14,7 @@ interface MessageNotification {
 
 interface AssessmentNotification {
   notificationID: number;
-  type: 'coneqtassessments';
+  type: "coneqtassessments";
   coneqtAssessments: {
     programmeID: number;
     metaclassID: number;
@@ -79,16 +79,21 @@ interface MessageContentResponse {
 
 // Helper to strip HTML tags from text
 function stripHtmlTags(html: string): string {
-  return html.replace(/<[^>]*>/g, '');
+  return html.replace(/<[^>]*>/g, "");
 }
 
 // Helper to fetch messages with pagination
-async function fetchMessages(offset: number = 0, limit: number = 100): Promise<MessageListResponse> {
+async function fetchMessages(
-  const response = await fetch(`${location.origin}/seqta/student/load/message`, {
+  offset: number = 0,
-    method: 'POST',
+  limit: number = 100,
-    credentials: 'include',
+): Promise<MessageListResponse> {
+  const response = await fetch(
+    `${location.origin}/seqta/student/load/message`,
+    {
+      method: "POST",
+      credentials: "include",
       headers: {
-      'Content-Type': 'application/json; charset=utf-8'
+        "Content-Type": "application/json; charset=utf-8",
       },
       body: JSON.stringify({
         searchValue: "",
@@ -98,26 +103,32 @@ async function fetchMessages(offset: number = 0, limit: number = 100): Promise<M
         label: "inbox",
         offset,
         limit,
-      datetimeUntil: null
+        datetimeUntil: null,
-    })
+      }),
-  });
+    },
+  );
 
   return await response.json();
 }
 
 // Helper to fetch message content
-async function fetchMessageContent(messageId: number): Promise<MessageContentResponse> {
+async function fetchMessageContent(
-  const response = await fetch(`${location.origin}/seqta/student/load/message`, {
+  messageId: number,
-    method: 'POST',
+): Promise<MessageContentResponse> {
-    credentials: 'include',
+  const response = await fetch(
+    `${location.origin}/seqta/student/load/message`,
+    {
+      method: "POST",
+      credentials: "include",
       headers: {
-      'Content-Type': 'application/json; charset=utf-8'
+        "Content-Type": "application/json; charset=utf-8",
       },
       body: JSON.stringify({
         action: "message",
-      id: messageId
+        id: messageId,
-    })
+      }),
-  });
+    },
+  );
 
   return await response.json();
 }
@@ -125,14 +136,14 @@ async function fetchMessageContent(messageId: number): Promise<MessageContentRes
 // Helper to fetch notifications
 async function fetchNotifications(): Promise<Notification[]> {
   const response = await fetch(`${location.origin}/seqta/student/heartbeat?`, {
-    method: 'POST',
+    method: "POST",
     headers: {
-      'Content-Type': 'application/json; charset=utf-8'
+      "Content-Type": "application/json; charset=utf-8",
     },
     body: JSON.stringify({
       timestamp: "1970-01-01 00:00:00.0",
       hash: "#?page=/notifications",
-    })
+    }),
   });
 
   const json = await response.json();
@@ -141,15 +152,15 @@ async function fetchNotifications(): Promise<Notification[]> {
 
 export const jobs: Record<string, Job> = {
   messages: {
-    id: 'messages',
+    id: "messages",
-    label: 'Messages',
+    label: "Messages",
-    renderComponentId: 'message',
+    renderComponentId: "message",
-    frequency: { type: 'expiry', afterMs: 1000 * 60 * 5 }, // every 5 minutes
+    frequency: { type: "expiry", afterMs: 1000 * 60 * 5 }, // every 5 minutes
 
     run: async (ctx) => {
       // Get existing items first
       const existing = await ctx.getStoredItems();
-      const existingIds = new Set(existing.map(i => i.id));
+      const existingIds = new Set(existing.map((i) => i.id));
       const newItems: IndexItem[] = [];
       let offset = 0;
       const limit = 100;
@@ -162,7 +173,7 @@ export const jobs: Record<string, Job> = {
           const response = await fetchMessages(offset, limit);
 
           if (response.status !== "200") {
-            console.error('Failed to fetch messages:', response);
+            console.error("Failed to fetch messages:", response);
             break;
           }
 
@@ -178,7 +189,9 @@ export const jobs: Record<string, Job> = {
               consecutiveExisting++;
               // If we've found 20 consecutive existing messages, assume we've caught up
               if (consecutiveExisting >= 20) {
-                console.debug('[Messages Job] Found 20 consecutive existing messages, stopping fetch');
+                console.debug(
+                  "[Messages Job] Found 20 consecutive existing messages, stopping fetch",
+                );
                 hasMore = false;
                 break;
               }
@@ -193,7 +206,10 @@ export const jobs: Record<string, Job> = {
               const contentResponse = await fetchMessageContent(message.id);
 
               if (contentResponse.status !== "200") {
-                console.error('Failed to fetch message content:', contentResponse);
+                console.error(
+                  "Failed to fetch message content:",
+                  contentResponse,
+                );
                 continue;
               }
 
@@ -202,7 +218,7 @@ export const jobs: Record<string, Job> = {
               newItems.push({
                 id,
                 text: message.subject,
-                category: 'messages',
+                category: "messages",
                 content: `From: ${message.sender}\n\n${content}`,
                 dateAdded: new Date(message.date).getTime(),
                 metadata: {
@@ -213,28 +229,28 @@ export const jobs: Record<string, Job> = {
                   timestamp: message.date,
                   hasAttachments: message.attachments,
                   attachmentCount: message.attachmentCount,
-                  read: message.read === 1
+                  read: message.read === 1,
                 },
-                actionId: 'message',
+                actionId: "message",
-                renderComponentId: 'message'
+                renderComponentId: "message",
               });
 
               // Add to existingIds as we process to prevent duplicates in the same run
               existingIds.add(id);
             } catch (error) {
-              console.error('Error fetching message content:', error);
+              console.error("Error fetching message content:", error);
               continue;
             }
           }
 
           offset += limit;
         } catch (error) {
-          console.error('Error fetching messages:', error);
+          console.error("Error fetching messages:", error);
           break;
         }
 
         // Small delay to avoid overwhelming the server
-        await new Promise(resolve => setTimeout(resolve, 100));
+        await new Promise((resolve) => setTimeout(resolve, 100));
       }
 
       console.debug(`[Messages Job] Found ${newItems.length} new messages`);
@@ -243,38 +259,40 @@ export const jobs: Record<string, Job> = {
 
     purge: (items) => {
       // Keep messages from the last 30 days
-      const cutoff = Date.now() - (30 * 24 * 60 * 60 * 1000);
+      const cutoff = Date.now() - 30 * 24 * 60 * 60 * 1000;
-      return items.filter(i => i.dateAdded >= cutoff);
+      return items.filter((i) => i.dateAdded >= cutoff);
-    }
+    },
   },
 
   assessments: {
-    id: 'assessments',
+    id: "assessments",
-    label: 'Assessments',
+    label: "Assessments",
-    renderComponentId: 'assessment',
+    renderComponentId: "assessment",
-    frequency: { type: 'expiry', afterMs: 1000 * 60 * 15 }, // every 15 minutes
+    frequency: { type: "expiry", afterMs: 1000 * 60 * 15 }, // every 15 minutes
 
     run: async (ctx) => {
       const notifications = await fetchNotifications();
-      const assessmentNotifications = notifications.filter((n): n is (MessageNotification | AssessmentNotification) => 
+      const assessmentNotifications = notifications.filter(
-        n.type === 'coneqtassessments' || 
+        (n): n is MessageNotification | AssessmentNotification =>
-        (n.type === 'message' && n.message.title.toLowerCase().includes('assessment'))
+          n.type === "coneqtassessments" ||
+          (n.type === "message" &&
+            n.message.title.toLowerCase().includes("assessment")),
       );
 
       const existing = await ctx.getStoredItems();
-      const existingIds = new Set(existing.map(i => i.id));
+      const existingIds = new Set(existing.map((i) => i.id));
       const newItems: IndexItem[] = [];
 
       for (const notification of assessmentNotifications) {
         const id = notification.notificationID.toString();
         if (existingIds.has(id)) continue;
 
-        if (notification.type === 'coneqtassessments') {
+        if (notification.type === "coneqtassessments") {
           const { coneqtAssessments: assessment } = notification;
           newItems.push({
             id,
             text: assessment.title,
-            category: 'assessments',
+            category: "assessments",
             content: assessment.subtitle,
             dateAdded: new Date(notification.timestamp).getTime(),
             metadata: {
@@ -283,10 +301,10 @@ export const jobs: Record<string, Job> = {
               term: assessment.term,
               programmeId: assessment.programmeID,
               metaclassId: assessment.metaclassID,
-              timestamp: notification.timestamp
+              timestamp: notification.timestamp,
             },
-            actionId: 'assessment',
+            actionId: "assessment",
-            renderComponentId: 'assessment'
+            renderComponentId: "assessment",
           });
         } else {
           // Handle message-based assessments
@@ -294,17 +312,17 @@ export const jobs: Record<string, Job> = {
           newItems.push({
             id,
             text: message.title,
-            category: 'assessments',
+            category: "assessments",
             content: `From: ${message.subtitle}`,
             dateAdded: new Date(notification.timestamp).getTime(),
             metadata: {
               messageId: message.messageID,
               author: message.subtitle,
               timestamp: notification.timestamp,
-              isMessageBased: true
+              isMessageBased: true,
             },
-            actionId: 'assessment',
+            actionId: "assessment",
-            renderComponentId: 'assessment'
+            renderComponentId: "assessment",
           });
         }
       }
@@ -321,8 +339,8 @@ export const jobs: Record<string, Job> = {
       date.setMinutes(0);
       date.setSeconds(0);
       const cutoff = date.getTime();
-      return items.filter(i => i.dateAdded >= cutoff);
+      return items.filter((i) => i.dateAdded >= cutoff);
-    }
+    },
   },
 
   // We can add more job types here as needed:

src/plugins/built-in/globalSearch/indexing/renderComponents.ts

@@ -1,5 +1,5 @@
-import type { SvelteComponent } from 'svelte';
+import type { SvelteComponent } from "svelte";
-import AssessmentComponent from '../components/AssessmentItem.svelte';
+import AssessmentComponent from "../components/AssessmentItem.svelte";
 // import other components as needed
 
 export const renderComponentMap: Record<string, typeof SvelteComponent> = {

src/plugins/built-in/globalSearch/indexing/types.ts

@@ -1,4 +1,4 @@
-import type { SvelteComponent } from 'svelte';
+import type { SvelteComponent } from "svelte";
 
 export interface IndexItem {
   id: string;
@@ -16,9 +16,9 @@ export interface HydratedIndexItem extends IndexItem {
 }
 
 export type Frequency =
-  | 'pageLoad'
+  | "pageLoad"
-  | { type: 'interval'; ms: number }
+  | { type: "interval"; ms: number }
-  | { type: 'expiry'; afterMs: number };
+  | { type: "expiry"; afterMs: number };
 
 export interface JobContext {
   getStoredItems: () => Promise<IndexItem[]>;

src/plugins/built-in/globalSearch/indexing/worker/vectorWorker.ts

@@ -0,0 +1,420 @@
+import {
+  getEmbedding,
+  EmbeddingIndex,
+  initializeModel,
+} from "client-vector-search";
+import type { HydratedIndexItem } from "../types";
+
+let vectorIndex: EmbeddingIndex | null = null;
+let isInitialized = false;
+let currentAbortController: AbortController | null = null;
+
+async function initWorker() {
+  // Avoid re-initialization
+  if (isInitialized) {
+    console.debug("Vector worker already initialized.");
+    return;
+  }
+  console.debug("Initializing vector worker...");
+  try {
+    await initializeModel();
+    vectorIndex = new EmbeddingIndex([]);
+
+    const stored = await vectorIndex.getAllObjectsFromIndexedDB();
+    if (stored.length > 0) {
+      stored.forEach((item) => vectorIndex!.add(item));
+      console.debug(
+        `Vector index loaded ${stored.length} items from IndexedDB.`,
+      );
+    } else {
+      console.debug("No existing vector index found in IndexedDB.");
+    }
+    isInitialized = true;
+    console.debug("Vector worker initialized successfully.");
+  } catch (e) {
+    console.error("Failed to initialize vector worker:", e);
+    // Set as initialized even on error to prevent retries, but index will be null
+    isInitialized = true;
+    vectorIndex = null; // Ensure index is null on error
+  }
+}
+
+async function vectorizeItem(
+  item: HydratedIndexItem,
+): Promise<(HydratedIndexItem & { embedding: number[] }) | null> {
+  // Simplified for brevity - assumes embedding function doesn't need cancellation signal
+  try {
+    const textToEmbed = [
+      item.text,
+      item.content,
+      item.category,
+      item.metadata?.author,
+      item.metadata?.subject,
+    ]
+      .filter(Boolean)
+      .join(" ");
+
+    const embedding = await getEmbedding(textToEmbed);
+    return { ...item, embedding };
+  } catch (error) {
+    console.error(`Error vectorizing item ${item.id}:`, error);
+    return null; // Return null if vectorization fails for an item
+  }
+}
+
+async function processItems(items: HydratedIndexItem[], signal: AbortSignal) {
+  console.debug("Worker received process request.");
+  if (!vectorIndex) {
+    console.warn(
+      "Processing requested but vector index not ready. Attempting init.",
+    );
+    await initWorker(); // Attempt initialization if not ready
+    if (!vectorIndex) {
+      // Check again after attempt
+      self.postMessage({
+        type: "progress",
+        data: {
+          status: "error",
+          message:
+            "Vector index not available for processing after init attempt.",
+        },
+      });
+      return;
+    }
+  }
+
+  // Find items we haven't processed yet by checking against the index instance
+  const unprocessedItems = items.filter((item) => {
+    if (signal.aborted) return false; // Check cancellation during filtering
+    try {
+      // Check if the item ID already exists in the index (loaded or added)
+      return !vectorIndex!.get({ id: item.id });
+    } catch (e) {
+      // If get throws (e.g., item not found), it means it's unprocessed
+      return true;
+    }
+  });
+
+  if (signal.aborted) {
+    console.debug("Processing cancelled before starting.");
+    self.postMessage({
+      type: "progress",
+      data: {
+        status: "cancelled",
+        message: "Processing cancelled before start",
+      },
+    });
+    return;
+  }
+
+  if (unprocessedItems.length === 0) {
+    console.debug("No new items to process.");
+    self.postMessage({
+      type: "progress",
+      data: { status: "complete", message: "No new items to process" },
+    });
+    return;
+  }
+
+  console.debug(`Starting processing of ${unprocessedItems.length} items.`);
+  self.postMessage({
+    type: "progress",
+    data: {
+      status: "started",
+      total: unprocessedItems.length,
+      processed: 0,
+    },
+  });
+
+  const BATCH_SIZE = 5;
+  let processedCount = 0;
+  for (let i = 0; i < unprocessedItems.length; i += BATCH_SIZE) {
+    if (signal.aborted) {
+      console.debug("Processing cancelled during batching.");
+      self.postMessage({
+        type: "progress",
+        data: {
+          status: "cancelled",
+          message: "Processing cancelled during batching",
+        },
+      });
+      return;
+    }
+
+    const batch = unprocessedItems.slice(i, i + BATCH_SIZE);
+    // Vectorize batch
+    const vectorizationResults = await Promise.all(batch.map(vectorizeItem));
+    const successfullyVectorized = vectorizationResults.filter(
+      (result) => result !== null,
+    ) as (HydratedIndexItem & { embedding: number[] })[];
+
+    if (signal.aborted) {
+      console.debug("Processing cancelled after vectorization batch.");
+      self.postMessage({
+        type: "progress",
+        data: {
+          status: "cancelled",
+          message: "Processing cancelled after vectorization",
+        },
+      });
+      return;
+    }
+
+    // Add successfully vectorized items to index
+    if (successfullyVectorized.length > 0) {
+      try {
+        successfullyVectorized.forEach((item) => vectorIndex!.add(item));
+      } catch (e) {
+        console.error("Error adding batch to index:", e);
+        self.postMessage({
+          type: "progress",
+          data: { status: "error", message: `Error adding to index: ${e}` },
+        });
+        // Decide whether to continue or stop on error
+        // return; // Example: Stop processing if adding fails
+      }
+    }
+
+    if (signal.aborted) {
+      console.debug("Processing cancelled before saving batch.");
+      self.postMessage({
+        type: "progress",
+        data: {
+          status: "cancelled",
+          message: "Processing cancelled before saving",
+        },
+      });
+      return;
+    }
+
+    // Save index after processing the batch
+    try {
+      await vectorIndex!.saveIndex("indexedDB");
+      console.debug(`Saved index after processing batch ${i / BATCH_SIZE + 1}`);
+    } catch (e) {
+      console.error("Error saving index batch:", e);
+      self.postMessage({
+        type: "progress",
+        data: { status: "error", message: `Error saving index batch: ${e}` },
+      });
+      // Continue processing next batch even if saving failed? Or stop?
+      // return; // Example: Stop if saving fails
+    }
+
+    processedCount = Math.min(i + BATCH_SIZE, unprocessedItems.length);
+
+    // Report progress
+    self.postMessage({
+      type: "progress",
+      data: {
+        status: "processing",
+        total: unprocessedItems.length,
+        processed: processedCount,
+      },
+    });
+
+    // Yield control briefly to allow other messages (like cancellation) to be processed
+    await new Promise((resolve) => setTimeout(resolve, 0));
+  }
+
+  if (!signal.aborted) {
+    console.debug("Processing completed successfully.");
+    self.postMessage({
+      type: "progress",
+      data: { status: "complete", message: "All items processed successfully" },
+    });
+  } else {
+    console.debug("Processing completed, but was cancelled.");
+    // No need to send 'cancelled' again if already sent during batching
+    // self.postMessage({ type: 'progress', data: { status: 'cancelled', message: 'Processing finished but was cancelled' }});
+  }
+}
+
+async function search(
+  query: string,
+  topK: number,
+  signal: AbortSignal,
+  messageId: string,
+) {
+  console.debug(
+    `Worker received search request (ID: ${messageId}): "${query}"`,
+  );
+  if (!vectorIndex) {
+    console.warn(
+      `Search (ID: ${messageId}) requested but vector index not ready. Attempting init.`,
+    );
+    await initWorker(); // Attempt initialization
+    // Re-check after waiting/init attempt
+    if (!vectorIndex) {
+      console.error(
+        `Search (ID: ${messageId}) failed: Vector index unavailable after init attempt.`,
+      );
+      self.postMessage({
+        type: "searchError",
+        data: { messageId, error: "Vector index not available." },
+      });
+      return;
+    }
+    console.debug(
+      `Vector index ready after init for search (ID: ${messageId}).`,
+    );
+  }
+
+  if (signal.aborted) {
+    console.debug(`Search (ID: ${messageId}) cancelled before starting.`);
+    self.postMessage({ type: "searchCancelled", data: { messageId } });
+    return;
+  }
+
+  try {
+    console.debug(`Getting embedding for query (ID: ${messageId})...`);
+    const queryEmbedding = await getEmbedding(query);
+
+    if (signal.aborted) {
+      console.debug(`Search (ID: ${messageId}) cancelled after embedding.`);
+      self.postMessage({ type: "searchCancelled", data: { messageId } });
+      return;
+    }
+
+    console.debug(`Performing vector search (ID: ${messageId})...`);
+    // Await the search and let TypeScript infer the type
+    const results = await vectorIndex!.search(queryEmbedding, {
+      topK,
+      useStorage: "indexedDB", // Ensure we search the stored index
+    });
+
+    console.debug(
+      `Vector search (ID: ${messageId}) completed with ${results.length} results.`,
+    );
+
+    if (signal.aborted) {
+      console.debug(
+        `Search (ID: ${messageId}) cancelled after search completed, discarding results.`,
+      );
+      self.postMessage({ type: "searchCancelled", data: { messageId } });
+      return;
+    }
+
+    // Post results back to the main thread
+    self.postMessage({ type: "searchResults", data: { messageId, results } });
+  } catch (error) {
+    console.error(`Vector search error in worker (ID: ${messageId}):`, error);
+    // Ensure signal isn't checked *after* an error occurred before posting error message
+    if (!signal.aborted) {
+      // Only post error if not cancelled
+      self.postMessage({
+        type: "searchError",
+        data: {
+          messageId,
+          error: error instanceof Error ? error.message : String(error),
+        },
+      });
+    } else {
+      console.debug(
+        `Search (ID: ${messageId}) encountered error but was cancelled, suppressing error message.`,
+      );
+      self.postMessage({ type: "searchCancelled", data: { messageId } }); // Still notify of cancellation
+    }
+  }
+}
+
+// Handle messages from the main thread
+self.addEventListener("message", async (e) => {
+  // Make sure data and type exist
+  if (!e.data || !e.data.type) {
+    console.warn("Worker received message with no data or type.");
+    return;
+  }
+
+  const { type, data, messageId } = e.data; // messageId used for requests needing response/cancellation tracking
+
+  // Cancel previous long-running operation (process or search) if a new one starts
+  if (type === "process" || type === "search") {
+    if (currentAbortController) {
+      console.debug(
+        `Worker cancelling previous operation due to new '${type}' request.`,
+      );
+      currentAbortController.abort(`New '${type}' operation requested`);
+    }
+    currentAbortController = new AbortController();
+    console.debug(`Worker starting new '${type}' operation.`);
+  }
+
+  // Use the signal from the *current* controller for the task being started
+  const signal = currentAbortController?.signal;
+
+  switch (type) {
+    case "process":
+      if (signal && data?.items) {
+        await processItems(data.items, signal);
+      } else if (!signal) {
+        console.error(
+          "Process message received but no abort signal available.",
+        );
+      } else if (!data?.items) {
+        console.error("Process message received without 'items' data.");
+        self.postMessage({
+          type: "progress",
+          data: {
+            status: "error",
+            message: "Process command received without items.",
+          },
+        });
+      }
+      break;
+
+    case "search":
+      if (signal && messageId && typeof data?.query === "string") {
+        await search(data.query, data.topK ?? 10, signal, messageId);
+      } else {
+        const errorReason = !signal
+          ? "Missing signal"
+          : !messageId
+            ? "Missing messageId"
+            : "Missing or invalid query";
+        console.error(`Search message received invalid: ${errorReason}.`, {
+          data,
+          messageId,
+          signalExists: !!signal,
+        });
+        // Send an error back if messageId exists
+        if (messageId) {
+          self.postMessage({
+            type: "searchError",
+            data: { messageId, error: `Worker internal error: ${errorReason}` },
+          });
+        }
+      }
+      break;
+
+    case "init":
+      // Init should not be cancellable in the same way, it's foundational
+      // Check if already initialized before potentially running it again
+      if (!isInitialized) {
+        await initWorker();
+        self.postMessage({ type: "ready" }); // Signal ready *after* init attempt
+      } else {
+        console.debug("Received init message, but worker already initialized.");
+        self.postMessage({ type: "ready" }); // Signal ready anyway
+      }
+      break;
+
+    // No explicit 'cancel' case needed as new tasks auto-cancel previous ones
+
+    default:
+      console.warn("Unknown message type received by vector worker:", type);
+  }
+});
+
+// Initial check or trigger for initialization when the worker starts
+initWorker()
+  .then(() => {
+    self.postMessage({ type: "ready" });
+  })
+  .catch((err) => {
+    console.error("Initial worker initialization failed:", err);
+    // Still need to signal readiness, perhaps with an error state?
+    // Or rely on the first 'process' or 'search' to retry init.
+    // For now, just signal ready, but the index might be null.
+    self.postMessage({ type: "ready" });
+  });

src/plugins/built-in/globalSearch/indexing/worker/vectorWorkerManager.ts

@@ -0,0 +1,132 @@
+import type { HydratedIndexItem } from '../types';
+import vectorWorker from './vectorWorker.ts?inlineWorker';
+import type { SearchResult } from 'client-vector-search';
+
+export type ProgressCallback = (data: {
+  status: 'started' | 'processing' | 'complete';
+  total?: number;
+  processed?: number;
+  message?: string;
+}) => void;
+
+export class VectorWorkerManager {
+  private static instance: VectorWorkerManager;
+  private worker: Worker | null = null;
+  private isInitialized = false;
+  private progressCallback: ProgressCallback | null = null;
+  private searchPromises = new Map<string, { resolve: (value: SearchResult[]) => void, reject: (reason?: any) => void }>();
+
+  private constructor() {}
+
+  static getInstance(): VectorWorkerManager {
+    if (!VectorWorkerManager.instance) {
+      VectorWorkerManager.instance = new VectorWorkerManager();
+    }
+    return VectorWorkerManager.instance;
+  }
+
+  async init() {
+    if (this.isInitialized) return;
+
+    // Create the worker
+    this.worker = vectorWorker();
+
+    // Set up message handling
+    this.worker.addEventListener('message', (e) => {
+      const { type, data } = e.data;
+      console.log(e);
+      
+      switch (type) {
+        case 'ready':
+          this.isInitialized = true;
+          console.debug('Vector worker initialized');
+          break;
+          
+        case 'progress':
+          if (this.progressCallback) {
+            this.progressCallback(data);
+          }
+          break;
+
+        case 'searchResults':
+          const searchPromise = this.searchPromises.get(data.messageId);
+          if (searchPromise) {
+            searchPromise.resolve(data.results);
+            this.searchPromises.delete(data.messageId);
+          } else {
+            console.warn('Received search results for unknown messageId:', data.messageId);
+          }
+          break;
+
+        case 'searchError':
+          const errorPromise = this.searchPromises.get(data.messageId);
+          if (errorPromise) {
+            errorPromise.reject(new Error(data.error));
+            this.searchPromises.delete(data.messageId);
+          } else {
+            console.warn('Received search error for unknown messageId:', data.messageId);
+          }
+          break;
+
+        case 'searchCancelled':
+          const cancelledPromise = this.searchPromises.get(data.messageId);
+          if (cancelledPromise) {
+            cancelledPromise.reject(new Error('Search cancelled'));
+            this.searchPromises.delete(data.messageId);
+          } else {
+            console.debug('Received cancellation for unknown messageId:', data.messageId);
+          }
+          break;
+          
+        default:
+          console.warn('Unknown message from worker:', type, data);
+      }
+    });
+
+    // Initialize the worker
+    this.worker.postMessage({ type: 'init' });
+
+    // Wait for ready message
+    await new Promise<void>((resolve, reject) => {
+      const timeout = setTimeout(() => {
+        reject(new Error('Worker initialization timed out'));
+      }, 5000);
+
+      const checkInit = (e: MessageEvent) => {
+        if (e.data.type === 'ready') {
+          this.worker!.removeEventListener('message', checkInit);
+          clearTimeout(timeout);
+          resolve();
+        }
+      };
+      this.worker!.addEventListener('message', checkInit);
+    });
+  }
+
+  async processItems(items: HydratedIndexItem[], onProgress?: ProgressCallback) {
+    if (!this.isInitialized) {
+      await this.init();
+    }
+
+    this.progressCallback = onProgress || null;
+    
+    this.worker!.postMessage({
+      type: 'process',
+      data: { items }
+    });
+  }
+
+  terminate() {
+    if (this.worker) {
+      // Clean up any pending promises
+      for (const [messageId, promise] of this.searchPromises.entries()) {
+        promise.reject(new Error('Worker terminated'));
+        this.searchPromises.delete(messageId);
+      }
+      
+      this.worker.terminate();
+      this.worker = null;
+      this.isInitialized = false;
+    }
+  }
+} 

src/plugins/built-in/globalSearch/search/vector/vectorSearch.ts

@@ -0,0 +1,66 @@
+import type { VectorSearchResult } from "./vectorTypes";
+//import vectorSearchWorker from "./vectorSearchWorker?worker";
+
+export function searchVectors(query: string, topK: number = 10): Promise<VectorSearchResult[]> {
+  //return VectorSearchWorkerManager.getInstance().search(query, topK);
+  return new Promise((resolve) => {
+    resolve([]);
+  });
+}
+
+/* class VectorSearchWorkerManager {
+  private static instance: VectorSearchWorkerManager;
+  private worker: Worker | null = null;
+  private pendingSearches = new Map<string, (results: VectorSearchResult[]) => void>();
+
+  constructor() {
+    this.initWorker();
+  }
+
+  private initWorker() {
+    try {
+      this.worker = new vectorSearchWorker({ name: "vectorSearchWorker" });
+      this.worker.addEventListener('message', this.messageHandler);
+    } catch (e) {
+      console.error("Failed to initialize vector search:", e);
+      throw e;
+    }
+  }
+
+  private messageHandler = (e: MessageEvent) => {
+    console.log("Message received", e.data);
+    if (e.data.type === 'searchResults') {
+      const resolve = this.pendingSearches.get(e.data.data.messageId);
+      if (resolve) {
+        resolve(e.data.data.results);
+        this.pendingSearches.delete(e.data.data.messageId);
+      }
+    }
+  };
+
+  public static getInstance(): VectorSearchWorkerManager {
+    if (!VectorSearchWorkerManager.instance) {
+      VectorSearchWorkerManager.instance = new VectorSearchWorkerManager();
+    }
+    return VectorSearchWorkerManager.instance;
+  }
+
+  public async search(query: string, topK: number = 10): Promise<VectorSearchResult[]> {
+    console.log("Searching vectors", query, topK);
+    if (!this.worker) {
+      this.initWorker();
+    }
+
+    const messageId = crypto.randomUUID();
+    return new Promise((resolve) => {
+      this.pendingSearches.set(messageId, resolve);
+      this.worker?.postMessage({
+        type: "search",
+        data: { query, topK },
+        messageId
+      });
+    });
+  }
+}
+
+export default VectorSearchWorkerManager; */

src/plugins/built-in/globalSearch/search/vector/vectorSearchWorker.ts

@@ -0,0 +1,59 @@
+import { EmbeddingIndex, getEmbedding, initializeModel } from "client-vector-search";
+import type { VectorSearchResult } from "./vectorTypes";
+
+console.log("%cVector search worker initialized", "background-color: #000; color: #fff;");
+
+let vectorIndex: EmbeddingIndex | null = null;
+let isInitialized = false;
+
+async function initVectorSearch() {
+  if (isInitialized) return;
+
+  try {
+    await initializeModel();
+    vectorIndex = new EmbeddingIndex([]);
+    // Load existing items from IndexedDB
+    const stored = await vectorIndex.getAllObjectsFromIndexedDB();
+    if (stored.length > 0) {
+      stored.forEach((item) => vectorIndex!.add(item));
+      console.debug("Vector index loaded from IndexedDB");
+    }
+    isInitialized = true;
+  } catch (e) {
+    console.error("Failed to initialize vector search:", e);
+    throw e;
+  }
+}
+
+
+async function searchVectors(query: string, topK: number = 10): Promise<VectorSearchResult[]> {
+  if (!vectorIndex) await initVectorSearch();
+  
+  const queryEmbedding = await getEmbedding(query);
+  const results = await vectorIndex!.search(queryEmbedding, { 
+    topK,
+    useStorage: 'indexedDB'
+  });
+  
+  return results as VectorSearchResult[];
+}
+
+self.addEventListener('message', async (e) => {
+  const { type, data, messageId } = e.data;
+
+  switch (type) {
+    case 'search':
+      console.log("Search request received", data);
+      const results = await searchVectors(data.query, data.topK);
+      self.postMessage({ type: 'searchResults', data: { messageId, results } });
+      break;
+    default:
+      console.warn(`Unknown message type: ${type}`);
+  }
+});
+
+initVectorSearch();
+
+export default function test() {
+  console.log("%cTest!!!", "background-color: #000; color: #fff;");
+}

src/plugins/built-in/globalSearch/search/vector/vectorTypes.ts

@@ -0,0 +1,7 @@
+import type { SearchResult } from "client-vector-search";
+import type { HydratedIndexItem } from "../../indexing/types";
+
+export interface VectorSearchResult extends SearchResult {
+  object: HydratedIndexItem & { embedding: number[] };
+}
+  

src/plugins/built-in/globalSearch/searchUtils.ts

@@ -1,48 +1,32 @@
-import Fuse, { type FuseResult } from 'fuse.js';
+import Fuse, { type FuseResult } from "fuse.js";
-import { getStaticCommands, type StaticCommandItem } from './commands';
+import { getStaticCommands, type StaticCommandItem } from "./core/commands";
-import { getDynamicItems } from './dynamicSearch';
+import { getDynamicItems } from "./dynamicSearch";
-import type { CombinedResult } from './types';
+import type { CombinedResult } from "./core/types";
-import type { HydratedIndexItem } from './indexing/types';
+import type { HydratedIndexItem } from "./indexing/types";
-import { searchVectors, type VectorSearchResult } from './vectorSearch';
+import { searchVectors } from "./search/vector/vectorSearch";
-
-// This function is likely no longer needed as items are pre-processed by the indexer
-/* export function prepareDynamicItems(items: DynamicContentItem[]): DynamicContentItem[] {
-  return items.map(item => {
-    const preparedItem = { ...item };
-    
-    // @ts-ignore
-    preparedItem.allContent = [
-      item.text,
-      item.content,
-      item.category,
-    ].filter(Boolean).join(' ');
-    
-    return preparedItem;
-  });
-} */
 
 export function createSearchIndexes() {
   const commands = getStaticCommands();
   const dynamicItems = getDynamicItems(); // Returns HydratedIndexItem[]
 
   const commandOptions = {
-    keys: ['text', 'category', 'keywords'],
+    keys: ["text", "category", "keywords"],
     includeScore: true,
     includeMatches: true,
     threshold: 0.6,
     minMatchCharLength: 1,
     ignoreLocation: true,
-    useExtendedSearch: false
+    useExtendedSearch: false,
   };
 
   // Keys for dynamic items remain the same structurally
   const dynamicOptions = {
     keys: [
-      'text',
+      "text",
-      'content',
+      "content",
-      'category',
+      "category",
-      'metadata.author', // Example: Include specific metadata if needed
+      "metadata.author", // Example: Include specific metadata if needed
-      'metadata.subject', // Example: Include specific metadata if needed
+      "metadata.subject", // Example: Include specific metadata if needed
       // 'keywords', // Keywords are not currently part of IndexItem, add if needed
     ],
     includeScore: true,
@@ -55,9 +39,12 @@ export function createSearchIndexes() {
 
   return {
     commandsFuse: new Fuse(commands, commandOptions) as Fuse<StaticCommandItem>,
-    dynamicContentFuse: new Fuse(dynamicItems, dynamicOptions) as Fuse<HydratedIndexItem>,
+    dynamicContentFuse: new Fuse(
+      dynamicItems,
+      dynamicOptions,
+    ) as Fuse<HydratedIndexItem>,
     commands,
-    dynamicItems
+    dynamicItems,
   };
 }
 
@@ -65,7 +52,7 @@ export function searchCommands(
   commandsFuse: Fuse<StaticCommandItem>,
   query: string,
   commandIdToItemMap: Map<string, StaticCommandItem>,
-  limit = 10
+  limit = 10,
 ): CombinedResult[] {
   if (!commandsFuse) return [];
 
@@ -73,11 +60,11 @@ export function searchCommands(
     return Array.from(commandIdToItemMap.values())
       .sort((a, b) => (b.priority ?? 0) - (a.priority ?? 0)) // Sort by priority when no query
       .slice(0, limit) // Limit results even when no query
-      .map(item => ({
+      .map((item) => ({
         id: item.id,
-        type: 'command' as const,
+        type: "command" as const,
         score: 100 + (item.priority ?? 0),
-        item
+        item,
       }));
   }
 
@@ -90,10 +77,10 @@ export function searchCommands(
 
     return {
       id: item.id,
-      type: 'command' as const,
+      type: "command" as const,
       score,
       item,
-      matches: result.matches
+      matches: result.matches,
     };
   });
 }
@@ -103,7 +90,7 @@ export function searchDynamicItems(
   query: string,
   dynamicIdToItemMap: Map<string, HydratedIndexItem>,
   limit = 10,
-  sortByRecent: boolean = true // Added option to control sorting
+  sortByRecent: boolean = true, // Added option to control sorting
 ): CombinedResult[] {
   if (!dynamicContentFuse) return [];
 
@@ -112,13 +99,11 @@ export function searchDynamicItems(
     if (sortByRecent) {
       items = items.sort((a, b) => b.dateAdded - a.dateAdded);
     }
-    return items
+    return items.slice(0, limit).map((item) => ({
-      .slice(0, limit)
-      .map(item => ({
       id: item.id,
-        type: 'dynamic' as const,
+      type: "dynamic" as const,
       score: 80, // Assign a default score for non-searched items
-        item
+      item,
     }));
   }
 
@@ -129,15 +114,15 @@ export function searchDynamicItems(
     const item = result.item;
     const fuseScore = 10 * (1 - (result.score || 0.5));
     const ageInDays = (now - item.dateAdded) / (1000 * 60 * 60 * 24);
-    const recencyBoost = sortByRecent ? (1 / (ageInDays + 1)) : 0; // Apply boost only if sorting by recent
+    const recencyBoost = sortByRecent ? 1 / (ageInDays + 1) : 0; // Apply boost only if sorting by recent
     const score = fuseScore + recencyBoost;
 
     return {
       id: item.id,
-      type: 'dynamic' as const,
+      type: "dynamic" as const,
       score,
       item,
-      matches: result.matches
+      matches: result.matches,
     };
   });
 }
@@ -148,45 +133,57 @@ export async function performSearch(
   dynamicContentFuse: Fuse<HydratedIndexItem>,
   commandIdToItemMap: Map<string, StaticCommandItem>,
   dynamicIdToItemMap: Map<string, HydratedIndexItem>,
-  showRecentFirst: boolean
+  showRecentFirst: boolean,
 ): Promise<CombinedResult[]> {
   const startTime = performance.now();
 
   // Get all results first
-  const commandResults = searchCommands(commandsFuse, query, commandIdToItemMap);
+  const commandResults = searchCommands(
+    commandsFuse,
+    query,
+    commandIdToItemMap,
+  );
   const commandEndTime = performance.now();
-  const dynamicResults = searchDynamicItems(dynamicContentFuse, query, dynamicIdToItemMap, 10, showRecentFirst);
+  const dynamicResults = searchDynamicItems(
+    dynamicContentFuse,
+    query,
+    dynamicIdToItemMap,
+    10,
+    showRecentFirst,
+  );
   const fuseEndTime = performance.now();
 
   // Get vector results in parallel
   const vectorResults = await searchVectors(query, 10);
   const vectorEndTime = performance.now();
 
-  console.log('Vector results:', vectorResults);
+  console.log("Vector results:", vectorResults);
 
   // Log timings
   console.log(`Command search took ${commandEndTime - startTime} milliseconds`);
-  console.log(`Dynamic search took ${fuseEndTime - commandEndTime} milliseconds`);
+  console.log(
+    `Dynamic search took ${fuseEndTime - commandEndTime} milliseconds`,
+  );
   console.log(`Vector search took ${vectorEndTime - fuseEndTime} milliseconds`);
 
   // Create a map to store our final results, using ID as key to avoid duplicates
   const resultMap = new Map<string, CombinedResult>();
 
   // Add command results first (they keep their original scores)
-  commandResults.forEach(r => resultMap.set(r.id, r));
+  commandResults.forEach((r) => resultMap.set(r.id, r));
 
   // Process dynamic results and vector results together
   const seenIds = new Set<string>();
 
   // Add dynamic results first
-  dynamicResults.forEach(r => {
+  dynamicResults.forEach((r) => {
     seenIds.add(r.id);
-    const vectorMatch = vectorResults.find(v => v.object.id === r.id);
+    const vectorMatch = vectorResults.find((v) => v.object.id === r.id);
     if (vectorMatch) {
       // If we found it in both searches, combine the scores
       resultMap.set(r.id, {
         ...r,
-        score: r.score + (vectorMatch.similarity * 0.6) // Boost exact matches
+        score: r.score + vectorMatch.similarity * 0.6, // Boost exact matches
       });
     } else {
       // If only in Fuse results, keep as is
@@ -195,15 +192,15 @@ export async function performSearch(
   });
 
   // Now add any vector results we haven't seen yet
-  vectorResults.forEach(v => {
+  vectorResults.forEach((v) => {
     const id = v.object.id;
     if (!seenIds.has(id)) {
       // This is a semantic match that Fuse missed - add it with the vector similarity as score
       resultMap.set(id, {
         id,
-        type: 'dynamic' as const,
+        type: "dynamic" as const,
         score: v.similarity * 0.9, // High base score for semantic matches
-        item: v.object
+        item: v.object,
       });
     }
   });

src/plugins/built-in/globalSearch/unitMap.ts

@@ -1,193 +0,0 @@
-export const unitFullNames: Record<string, string> = {
-  // --- Length ---
-  "m": "Meters",
-  "km": "Kilometers",
-  "cm": "Centimeters",
-  "mm": "Millimeters",
-  "µm": "Micrometers",
-  "nm": "Nanometers",
-  "pm": "Picometers",
-  "fm": "Femtometers",
-  "am": "Attometers",
-  "zm": "Zeptometers",
-  "ym": "Yoctometers",
-  "mi": "Miles",
-  "yd": "Yards",
-  "ft": "Feet",
-  "in": "Inches",
-  "nmi": "Nautical Miles",
-  "angstrom": "Angstroms",
-  "au": "Astronomical Units",
-  "ly": "Light Years",
-  "pc": "Parsecs",
-
-  // --- Mass ---
-  "kg": "Kilograms",
-  "g": "Grams",
-  "mg": "Milligrams",
-  "µg": "Micrograms",
-  "ng": "Nanograms",
-  "lb": "Pounds",
-  "oz": "Ounces",
-  "ton": "Tons (Imperial)",
-  "tonne": "Tonnes (Metric)",
-  "slug": "Slugs",
-  "stone": "Stones",
-
-  // --- Time ---
-  "s": "Seconds",
-  "ms": "Milliseconds",
-  "µs": "Microseconds",
-  "ns": "Nanoseconds",
-  "ps": "Picoseconds",
-  "min": "Minutes",
-  "h": "Hours",
-  "day": "Days",
-  "week": "Weeks",
-  "month": "Months (30 days)",
-  "year": "Years (365 days)",
-  "fortnight": "Fortnights",
-
-  // --- Temperature ---
-  "K": "Kelvin",
-  "degC": "Degrees Celsius",
-  "degF": "Degrees Fahrenheit",
-  "degR": "Degrees Rankine",
-
-  // --- Volume ---
-  "m³": "Cubic Meters",
-  "cm³": "Cubic Centimeters",
-  "mm³": "Cubic Millimeters",
-  "l": "Liters",
-  "ml": "Milliliters",
-  "gal": "Gallons (US)",
-  "qt": "Quarts (US)",
-  "pt": "Pints (US)",
-  "cup": "Cups (US)",
-  "floz": "Fluid Ounces (US)",
-  "tbsp": "Tablespoons (US)",
-  "tsp": "Teaspoons (US)",
-
-  // --- Area ---
-  "m²": "Square Meters",
-  "km²": "Square Kilometers",
-  "cm²": "Square Centimeters",
-  "mm²": "Square Millimeters",
-  "ha": "Hectares",
-  "acre": "Acres",
-  "ft²": "Square Feet",
-  "in²": "Square Inches",
-  "mi²": "Square Miles",
-
-  // --- Speed ---
-  "m/s": "Meters per Second",
-  "km/h": "Kilometers per Hour",
-  "mph": "Miles per Hour",
-  "knot": "Knots",
-
-  // --- Acceleration ---
-  "m/s²": "Meters per Second Squared",
-
-  // --- Force ---
-  "N": "Newtons",
-  "lbf": "Pound-Force",
-  "dyn": "Dynes",
-
-  // --- Energy ---
-  "J": "Joules",
-  "kJ": "Kilojoules",
-  "cal": "Calories",
-  "kcal": "Kilocalories",
-  "Wh": "Watt Hours",
-  "kWh": "Kilowatt Hours",
-  "BTU": "British Thermal Units",
-  "erg": "Ergs",
-  "eV": "Electronvolts",
-
-  // --- Power ---
-  "W": "Watts",
-  "kW": "Kilowatts",
-  "MW": "Megawatts",
-  "GW": "Gigawatts",
-  "hp": "Horsepower",
-
-  // --- Pressure ---
-  "Pa": "Pascals",
-  "kPa": "Kilopascals",
-  "bar": "Bar",
-  "atm": "Atmospheres",
-  "psi": "Pounds per Square Inch",
-  "torr": "Torr",
-  "mmHg": "Millimeters of Mercury",
-
-  // --- Frequency ---
-  "Hz": "Hertz",
-  "kHz": "Kilohertz",
-  "MHz": "Megahertz",
-  "GHz": "Gigahertz",
-  "THz": "Terahertz",
-
-  // --- Electric ---
-  "V": "Volts",
-  "A": "Amperes",
-  "C": "Coulombs",
-  "Ω": "Ohms",
-  "F": "Farads",
-  "S": "Siemens",
-  "H": "Henries",
-  "Wb": "Webers",
-  "T": "Teslas",
-  "lx": "Lux",
-
-  // --- Angle & Rotation ---
-  "rad": "Radians",
-  "deg": "Degrees",
-  "grad": "Gradians",
-  "cycle": "Cycles",
-  "turn": "Turns",
-  "rev": "Revolutions",
-
-  // --- Charge & Capacitance ---
-  "e": "Elementary Charges",
-
-  // --- Magnetic & Light ---
-  "lm": "Lumens",
-  "ph": "Photons",
-
-  // --- Miscellaneous / Dimensionless ---
-  "%": "Percent",
-  "ppm": "Parts per Million",
-  "ppb": "Parts per Billion",
-  "pptr": "Parts per Trillion",
-  "dB": "Decibels",
-  "bit": "Bits",
-  "byte": "Bytes",
-
-  // --- Digital Storage ---
-  "b": "Bits",
-  "B": "Bytes",
-  "kb": "Kilobits",
-  "kB": "Kilobytes",
-  "Mb": "Megabits",
-  "MB": "Megabytes",
-  "Gb": "Gigabits",
-  "GB": "Gigabytes",
-  "Tb": "Terabits",
-  "TB": "Terabytes",
-
-  // --- Currency ---
-  "USD": "US Dollars",
-  "EUR": "Euros",
-  "GBP": "British Pounds",
-  "AUD": "Australian Dollars",
-  "CAD": "Canadian Dollars",
-  "CHF": "Swiss Francs",
-  "JPY": "Japanese Yen",
-  "CNY": "Chinese Yuan",
-  "INR": "Indian Rupees",
-  "NZD": "New Zealand Dollars",
-  "SEK": "Swedish Krona",
-  "NOK": "Norwegian Krone",
-  "SGD": "Singapore Dollars",
-  "HKD": "Hong Kong Dollars"
-};

src/plugins/built-in/globalSearch/vectorSearch.ts

@@ -1,86 +0,0 @@
-import { EmbeddingIndex, getEmbedding, initializeModel } from 'client-vector-search';
-import type { HydratedIndexItem } from './indexing/types';
-import type { SearchResult } from 'client-vector-search';
-
-let vectorIndex: EmbeddingIndex | null = null;
-
-export async function initVectorSearch() {
-  try {
-    await initializeModel();
-    vectorIndex = new EmbeddingIndex([]);
-    // Load existing items from IndexedDB
-    const stored = await vectorIndex.getAllObjectsFromIndexedDB();
-    if (stored.length > 0) {
-      stored.forEach(item => vectorIndex!.add(item));
-      console.debug('Vector index loaded from IndexedDB');
-    }
-  } catch (e) {
-    console.debug('Creating new vector index');
-    vectorIndex = new EmbeddingIndex([]);
-  }
-}
-
-export async function vectorizeItem(item: HydratedIndexItem): Promise<HydratedIndexItem & { embedding: number[] }> {
-  const textToEmbed = [
-    item.text,
-    item.content,
-    item.category,
-    item.metadata?.author,
-    item.metadata?.subject
-  ].filter(Boolean).join(' ');
-
-  const embedding = await getEmbedding(textToEmbed);
-  return { ...item, embedding };
-}
-
-export async function processItems(items: HydratedIndexItem[]) {
-  if (!vectorIndex) await initVectorSearch();
-  
-  const unprocessedItems = items.filter(item => {
-    try {
-      return !vectorIndex!.get({ id: item.id });
-    } catch {
-      return true;
-    }
-  });
-
-  if (unprocessedItems.length === 0) {
-    console.debug('No new items to vectorize');
-    return;
-  }
-
-  console.debug(`Vectorizing ${unprocessedItems.length} new items...`);
-  
-  // Process in batches to avoid UI freeze
-  const BATCH_SIZE = 5;
-  for (let i = 0; i < unprocessedItems.length; i += BATCH_SIZE) {
-    const batch = unprocessedItems.slice(i, i + BATCH_SIZE);
-    const vectorized = await Promise.all(batch.map(vectorizeItem));
-    
-    for (const item of vectorized) {
-      vectorIndex!.add(item);
-    }
-    
-    // Save periodically to avoid losing progress
-    await vectorIndex!.saveIndex('indexedDB');
-    
-    // Log progress
-    console.debug(`Vectorized ${Math.min(i + BATCH_SIZE, unprocessedItems.length)}/${unprocessedItems.length} items`);
-  }
-}
-
-export interface VectorSearchResult extends SearchResult {
-  object: HydratedIndexItem & { embedding: number[] };
-}
-
-export async function searchVectors(query: string, topK: number = 10): Promise<VectorSearchResult[]> {
-  if (!vectorIndex) await initVectorSearch();
-  
-  const queryEmbedding = await getEmbedding(query);
-  const results = await vectorIndex!.search(queryEmbedding, { 
-    topK,
-    useStorage: 'indexedDB'
-  });
-  
-  return results as VectorSearchResult[];
-}

src/plugins/index.ts

@@ -6,7 +6,7 @@ import notificationCollectorPlugin from './built-in/notificationCollector';
 import themesPlugin from './built-in/themes';
 import animatedBackgroundPlugin from './built-in/animatedBackground';
 import assessmentsAveragePlugin from './built-in/assessmentsAverage';
-import globalSearchPlugin from './built-in/globalSearch';
+import globalSearchPlugin from './built-in/globalSearch/core';
 import testPlugin from './built-in/test';
 
 // Initialize plugin manager

src/plugins/monofile.ts

@@ -330,7 +330,11 @@ async function handleMessages(node: Element): Promise<void> {
   const element = document.getElementById("title")!.firstChild as HTMLElement
   element.innerText = "Direct Messages"
   document.title = "Direct Messages ― SEQTA Learn"
+  try {
     SortMessagePageItems(node)
+  } catch (error) {
+    console.error("Error sorting message page items:", error)
+  }
 
   if (!settingsState.animations) return
 

vite.config.ts

@@ -1,7 +1,9 @@
 import { defineConfig } from 'vite';
-import path, { join, resolve } from 'path';
+import { join, resolve } from 'path';
-import fs from 'fs';
+
 import { updateManifestPlugin } from './lib/patchPackage';
+import touchGlobalCSSPlugin from './lib/touchGlobalCSS';
+import InlineWorkerPlugin from './lib/inlineWorker';
 import { base64Loader } from './lib/base64loader';
 import type { BuildTarget } from './lib/types';
 import ClosePlugin from './lib/closePlugin';
@@ -19,7 +21,6 @@ import { opera } from './src/manifests/opera';
 import { safari } from './src/manifests/safari';
 import { crx } from '@crxjs/vite-plugin';
 
-import touchGlobalCSSPlugin from './lib/touchGlobalCSS';
 const targets: BuildTarget[] = [
   chrome, brave, edge, firefox, opera, safari
 ]
@@ -30,6 +31,7 @@ const mode = process.env.MODE || 'chrome'; // Check the environment variable to
 export default defineConfig(({ command }) => ({
   plugins: [
     base64Loader,
+    InlineWorkerPlugin(),
     svelte({
       emitCss: false
     }),
@@ -70,6 +72,9 @@ export default defineConfig(({ command }) => ({
   legacy: {
     skipWebSocketTokenCheck: true,
   },
+  worker: {
+    format: 'es',
+  },
   build: {
     outDir: resolve(__dirname, 'dist', mode),
     emptyOutDir: false,