chore: code optimization

src/embedder/index.ts

@@ -15,7 +15,7 @@
 export type { Embedder } from './types';
 
 // Language detection & CJK utilities — re-exported from utils for backward compatibility
-export { isCJK, splitMixed, detectLanguage, tokenizerForLanguage, detectTokenizer } from '../utils/tokenizer';
+export { isCJK, detectLanguage, tokenizerForLanguage, detectTokenizer } from '../utils/tokenizer';
 export type { LanguageHint } from '../utils/tokenizer';
 
 // TransformersEmbedder — production-quality model embedder
@@ -26,4 +26,4 @@ export { EmbedderManager, getEmbedder, resetEmbedder } from './manager';
 
 // Embedder resolution
 export { resolveEmbedder } from './resolve';
-export type { EmbedderInfo, EmbedderKind, ResolveResult } from './resolve';
+export type { EmbedderInfo, EmbedderKind } from './resolve';

src/embedder/manager.ts

@@ -30,19 +30,16 @@ export interface EmbedderManagerOptions {
 export class EmbedderManager {
   private _defaultEmbedder: Embedder | null = null;
   private readonly _loader: TransformersLoader;
-  private readonly _ownsLoader: boolean;
 
   constructor(options?: EmbedderManagerOptions) {
     if (options?.transformersLoader) {
       this._loader = options.transformersLoader;
-      this._ownsLoader = false;
     } else {
       // Default: use global shared loader (backward-compatible)
       this._loader = {
         load: loadTransformersModule,
         reset: resetTransformersModule,
       };
-      this._ownsLoader = false;
     }
   }
 
@@ -70,12 +67,12 @@ export class EmbedderManager {
     if (!t) {
       throw new Error(
         '@huggingface/transformers is not installed. Semantic search requires a model-based embedder.\n' +
-        '  Install it with:\n' +
-        '    npm install @huggingface/transformers\n' +
-        '  Then download the model:\n' +
-        '    node scripts/download-model.mjs\n' +
-        '  Or set mirror for China:\n' +
-        '    export HF_ENDPOINT=https://hf-mirror.com'
+          '  Install it with:\n' +
+          '    npm install @huggingface/transformers\n' +
+          '  Then download the model:\n' +
+          '    node scripts/download-model.mjs\n' +
+          '  Or set mirror for China:\n' +
+          '    export HF_ENDPOINT=https://hf-mirror.com',
       );
     }
 
@@ -86,9 +83,9 @@ export class EmbedderManager {
     } catch (err) {
       throw new Error(
         `Failed to load embedding model (bge-small-zh-v1.5): ${(err as Error).message?.split('\n')[0] ?? 'unknown'}\n` +
-        '  To fix model download:\n' +
-        '    1. Set mirror: export HF_ENDPOINT=https://hf-mirror.com\n' +
-        '    2. Manual download: node scripts/download-model.mjs'
+          '  To fix model download:\n' +
+          '    1. Set mirror: export HF_ENDPOINT=https://hf-mirror.com\n' +
+          '    2. Manual download: node scripts/download-model.mjs',
       );
     }
     return this._defaultEmbedder;

src/index.ts

@@ -37,22 +37,19 @@ export {
   tokenizerForLanguage,
   detectTokenizer,
 } from './embedder';
-export type { Embedder } from './embedder';
-export type { LanguageHint } from './embedder';
-export type { EmbedderInfo, EmbedderKind } from './embedder';
+export type { Embedder, LanguageHint, EmbedderInfo, EmbedderKind } from './embedder';
 
 // Zvec store — custom vector storage backends
 export {
-  IZvecStore,
   ActualZvecStore,
   createZvecStore,
   openZvecStore,
   openZvecStoreSync,
   isZvecAvailable,
   buildZvecSchema,
-  cosineSimilarity,
 } from './storage/zvec-store';
 export type {
+  IZvecStore,
   ZvecDoc,
   ZvecQueryResult,
   ZvecSearchParams,
@@ -66,3 +63,4 @@ export type {
 export { Store } from './storage/store';
 export type { StoreQueryParams } from './storage/store';
 
+

src/loaders/util.ts

@@ -1,5 +1,5 @@
-import * as crypto from 'crypto';
 import * as path from 'path';
+import { computeContentHash } from '../utils/hash';
 
 /**
  * Convert a file path to a safe, collision-resistant ID for zvec.
@@ -20,7 +20,7 @@ export function pathToId(filePath: string): string {
   const normalized = path.normalize(filePath).replace(/\\/g, '/').replace(/^\/+/, '');
 
   // Generate a compact hash of the full path (16 hex chars = 64-bit)
-  const hash = crypto.createHash('sha256').update(normalized).digest('hex').slice(0, 16);
+  const hash = computeContentHash(normalized);
 
   // Derive a short readable suffix from the filename (without extension)
   const basename = normalized.split('/').pop() ?? '';