Squashed 'vendor/ruvector/' content from commit b64c2172

git-subtree-dir: vendor/ruvector
git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900

npm/wasm/.npmignore

@@ -0,0 +1,50 @@
+# Source files
+src/
+*.ts
+!*.d.ts
+
+# Build config
+tsconfig.json
+tsconfig.*.json
+wasm-pack.log
+
+# Development
+node_modules/
+.git/
+.github/
+.gitignore
+*.test.js
+*.test.ts
+*.spec.js
+*.spec.ts
+
+# Logs and temp files
+*.log
+*.tmp
+.DS_Store
+.cache/
+*.tsbuildinfo
+
+# CI/CD
+.travis.yml
+.gitlab-ci.yml
+azure-pipelines.yml
+.circleci/
+
+# Documentation (keep README.md)
+docs/
+*.md
+!README.md
+!pkg/README.md
+!pkg-node/README.md
+
+# Editor
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# WASM build artifacts to exclude
+target/
+Cargo.lock

npm/wasm/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2025 rUv
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

npm/wasm/README.md

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+# @ruvector/wasm
+
+WebAssembly bindings for Ruvector - High-performance vector database for browsers and Node.js.
+
+## Features
+
+- 🚀 **High Performance**: SIMD-accelerated vector operations
+- 🌐 **Universal**: Works in browsers and Node.js
+- 🎯 **Multiple Distance Metrics**: Cosine, Euclidean, Dot Product, Manhattan
+- 🔍 **Fast Search**: HNSW indexing for approximate nearest neighbor search
+- 💾 **Persistent Storage**: IndexedDB (browser) and file system (Node.js)
+- 🦀 **Rust-powered**: Built with Rust and WebAssembly
+
+## Installation
+
+```bash
+npm install @ruvector/wasm
+```
+
+## Quick Start
+
+### Browser
+
+```javascript
+import { VectorDB } from '@ruvector/wasm/browser';
+
+// Create database
+const db = new VectorDB({ dimensions: 128 });
+await db.init();
+
+// Insert vectors
+const vector = new Float32Array(128).fill(0.5);
+const id = db.insert(vector, 'my-vector', { label: 'example' });
+
+// Search
+const results = db.search(vector, 10);
+console.log(results);
+
+// Save to IndexedDB
+await db.saveToIndexedDB();
+```
+
+### Node.js
+
+```javascript
+import { VectorDB } from '@ruvector/wasm/node';
+
+// Create database
+const db = new VectorDB({ dimensions: 128 });
+await db.init();
+
+// Insert vectors
+const vector = new Float32Array(128).fill(0.5);
+const id = db.insert(vector, 'my-vector', { label: 'example' });
+
+// Search
+const results = db.search(vector, 10);
+console.log(results);
+```
+
+### Universal (Auto-detect)
+
+```javascript
+import { VectorDB } from '@ruvector/wasm';
+
+// Works in both browser and Node.js
+const db = new VectorDB({ dimensions: 128 });
+await db.init();
+
+const vector = new Float32Array(128).fill(0.5);
+const id = db.insert(vector);
+const results = db.search(vector, 10);
+```
+
+## API Reference
+
+### VectorDB
+
+#### Constructor
+
+```typescript
+new VectorDB(options: DbOptions)
+```
+
+Options:
+- `dimensions: number` - Vector dimensions (required)
+- `metric?: 'euclidean' | 'cosine' | 'dotproduct' | 'manhattan'` - Distance metric (default: 'cosine')
+- `useHnsw?: boolean` - Use HNSW index (default: true)
+
+#### Methods
+
+##### init()
+
+Initialize the database (must be called before use).
+
+```typescript
+await db.init(): Promise<void>
+```
+
+##### insert()
+
+Insert a single vector.
+
+```typescript
+db.insert(
+  vector: Float32Array | number[],
+  id?: string,
+  metadata?: Record<string, any>
+): string
+```
+
+##### insertBatch()
+
+Insert multiple vectors efficiently.
+
+```typescript
+db.insertBatch(entries: VectorEntry[]): string[]
+```
+
+##### search()
+
+Search for similar vectors.
+
+```typescript
+db.search(
+  query: Float32Array | number[],
+  k: number,
+  filter?: Record<string, any>
+): SearchResult[]
+```
+
+##### delete()
+
+Delete a vector by ID.
+
+```typescript
+db.delete(id: string): boolean
+```
+
+##### get()
+
+Get a vector by ID.
+
+```typescript
+db.get(id: string): VectorEntry | null
+```
+
+##### len()
+
+Get the number of vectors.
+
+```typescript
+db.len(): number
+```
+
+##### isEmpty()
+
+Check if database is empty.
+
+```typescript
+db.isEmpty(): boolean
+```
+
+##### getDimensions()
+
+Get vector dimensions.
+
+```typescript
+db.getDimensions(): number
+```
+
+##### save()
+
+Save database to persistent storage.
+
+```typescript
+await db.save(path?: string): Promise<void>
+```
+
+### Utility Functions
+
+#### detectSIMD()
+
+Check if SIMD is supported.
+
+```typescript
+const hasSIMD = await detectSIMD();
+```
+
+#### version()
+
+Get library version.
+
+```typescript
+const ver = await version();
+```
+
+#### benchmark()
+
+Run performance benchmark.
+
+```typescript
+const opsPerSec = await benchmark('insert', 1000, 128);
+```
+
+## Types
+
+### VectorEntry
+
+```typescript
+interface VectorEntry {
+  id?: string;
+  vector: Float32Array | number[];
+  metadata?: Record<string, any>;
+}
+```
+
+### SearchResult
+
+```typescript
+interface SearchResult {
+  id: string;
+  score: number;
+  vector?: Float32Array;
+  metadata?: Record<string, any>;
+}
+```
+
+### DbOptions
+
+```typescript
+interface DbOptions {
+  dimensions: number;
+  metric?: 'euclidean' | 'cosine' | 'dotproduct' | 'manhattan';
+  useHnsw?: boolean;
+}
+```
+
+## Performance
+
+Ruvector WASM delivers exceptional performance:
+
+- **SIMD Acceleration**: Up to 4x faster with WebAssembly SIMD
+- **HNSW Index**: Sub-linear search complexity
+- **Zero-copy**: Efficient memory usage with transferable objects
+- **Batch Operations**: Optimized bulk inserts
+
+## Browser Compatibility
+
+- Chrome 91+ (SIMD support)
+- Firefox 89+ (SIMD support)
+- Safari 16.4+ (SIMD support)
+- Edge 91+ (SIMD support)
+
+## License
+
+MIT
+
+## Links
+
+- [GitHub Repository](https://github.com/ruvnet/ruvector)
+- [Documentation](https://github.com/ruvnet/ruvector#readme)
+- [Issues](https://github.com/ruvnet/ruvector/issues)

npm/wasm/package.json

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+{
+  "name": "@ruvector/wasm",
+  "version": "0.1.1",
+  "description": "WebAssembly bindings for Ruvector - High-performance vector database for browsers and Node.js",
+  "main": "./dist/index.js",
+  "module": "./dist/index.mjs",
+  "types": "./dist/index.d.ts",
+  "exports": {
+    ".": {
+      "types": "./dist/index.d.ts",
+      "browser": {
+        "import": "./dist/browser.mjs",
+        "require": "./dist/browser.js"
+      },
+      "node": {
+        "import": "./dist/node.mjs",
+        "require": "./dist/node.js"
+      },
+      "default": "./dist/index.js"
+    },
+    "./browser": {
+      "types": "./dist/browser.d.ts",
+      "import": "./dist/browser.mjs",
+      "require": "./dist/browser.js"
+    },
+    "./node": {
+      "types": "./dist/node.d.ts",
+      "import": "./dist/node.mjs",
+      "require": "./dist/node.js"
+    }
+  },
+  "files": [
+    "dist",
+    "pkg",
+    "pkg-node",
+    "README.md",
+    "LICENSE"
+  ],
+  "scripts": {
+    "build:wasm": "npm run build:wasm:bundler && npm run build:wasm:node",
+    "build:wasm:bundler": "cd ../../crates/ruvector-wasm && wasm-pack build --target bundler --out-dir ../../npm/wasm/pkg",
+    "build:wasm:node": "cd ../../crates/ruvector-wasm && wasm-pack build --target nodejs --out-dir ../../npm/wasm/pkg-node",
+    "build:ts": "tsc && tsc -p tsconfig.esm.json",
+    "build": "npm run build:wasm && npm run build:ts",
+    "test": "node --test dist/index.test.js",
+    "prepublishOnly": "npm run build"
+  },
+  "keywords": [
+    "vector",
+    "database",
+    "wasm",
+    "webassembly",
+    "embeddings",
+    "similarity-search",
+    "machine-learning",
+    "ai",
+    "browser",
+    "rust"
+  ],
+  "author": "Ruvector Team",
+  "license": "MIT",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/ruvnet/ruvector.git",
+    "directory": "npm/wasm"
+  },
+  "bugs": {
+    "url": "https://github.com/ruvnet/ruvector/issues"
+  },
+  "homepage": "https://github.com/ruvnet/ruvector#readme",
+  "devDependencies": {
+    "@types/node": "^20.19.25",
+    "typescript": "^5.9.3"
+  }
+}

npm/wasm/src/browser.d.ts

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+/**
+ * Browser-specific exports for @ruvector/wasm
+ */
+import type { VectorEntry, SearchResult, DbOptions } from './index';
+/**
+ * VectorDB class for browser
+ */
+export declare class VectorDB {
+    private db;
+    private dimensions;
+    constructor(options: DbOptions);
+    init(): Promise<void>;
+    insert(vector: Float32Array | number[], id?: string, metadata?: Record<string, any>): string;
+    insertBatch(entries: VectorEntry[]): string[];
+    search(query: Float32Array | number[], k: number, filter?: Record<string, any>): SearchResult[];
+    delete(id: string): boolean;
+    get(id: string): VectorEntry | null;
+    len(): number;
+    isEmpty(): boolean;
+    getDimensions(): number;
+    saveToIndexedDB(): Promise<void>;
+    static loadFromIndexedDB(dbName: string, options: DbOptions): Promise<VectorDB>;
+}
+export declare function detectSIMD(): Promise<boolean>;
+export declare function version(): Promise<string>;
+export declare function benchmark(name: string, iterations: number, dimensions: number): Promise<number>;
+export type { VectorEntry, SearchResult, DbOptions };
+export default VectorDB;
+//# sourceMappingURL=browser.d.ts.map

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npm/wasm/src/browser.js

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+"use strict";
+/**
+ * Browser-specific exports for @ruvector/wasm
+ */
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || (function () {
+    var ownKeys = function(o) {
+        ownKeys = Object.getOwnPropertyNames || function (o) {
+            var ar = [];
+            for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
+            return ar;
+        };
+        return ownKeys(o);
+    };
+    return function (mod) {
+        if (mod && mod.__esModule) return mod;
+        var result = {};
+        if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
+        __setModuleDefault(result, mod);
+        return result;
+    };
+})();
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.VectorDB = void 0;
+exports.detectSIMD = detectSIMD;
+exports.version = version;
+exports.benchmark = benchmark;
+let wasmModule = null;
+/**
+ * Initialize WASM module for browser
+ */
+async function initWasm() {
+    if (!wasmModule) {
+        wasmModule = await Promise.resolve().then(() => __importStar(require('../pkg/ruvector_wasm.js')));
+        await wasmModule.default();
+    }
+    return wasmModule;
+}
+/**
+ * VectorDB class for browser
+ */
+class VectorDB {
+    constructor(options) {
+        this.dimensions = options.dimensions;
+    }
+    async init() {
+        const module = await initWasm();
+        this.db = new module.VectorDB(this.dimensions, 'cosine', true);
+    }
+    insert(vector, id, metadata) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const vectorArray = vector instanceof Float32Array ? vector : new Float32Array(vector);
+        return this.db.insert(vectorArray, id, metadata);
+    }
+    insertBatch(entries) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const processedEntries = entries.map(entry => ({
+            id: entry.id,
+            vector: entry.vector instanceof Float32Array ? entry.vector : new Float32Array(entry.vector),
+            metadata: entry.metadata
+        }));
+        return this.db.insertBatch(processedEntries);
+    }
+    search(query, k, filter) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const queryArray = query instanceof Float32Array ? query : new Float32Array(query);
+        const results = this.db.search(queryArray, k, filter);
+        return results.map((r) => ({
+            id: r.id,
+            score: r.score,
+            vector: r.vector,
+            metadata: r.metadata
+        }));
+    }
+    delete(id) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.delete(id);
+    }
+    get(id) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const entry = this.db.get(id);
+        if (!entry)
+            return null;
+        return { id: entry.id, vector: entry.vector, metadata: entry.metadata };
+    }
+    len() {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.len();
+    }
+    isEmpty() {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.isEmpty();
+    }
+    getDimensions() {
+        return this.dimensions;
+    }
+    async saveToIndexedDB() {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        await this.db.saveToIndexedDB();
+    }
+    static async loadFromIndexedDB(dbName, options) {
+        const db = new VectorDB(options);
+        await db.init();
+        await db.db.loadFromIndexedDB(dbName);
+        return db;
+    }
+}
+exports.VectorDB = VectorDB;
+async function detectSIMD() {
+    const module = await initWasm();
+    return module.detectSIMD();
+}
+async function version() {
+    const module = await initWasm();
+    return module.version();
+}
+async function benchmark(name, iterations, dimensions) {
+    const module = await initWasm();
+    return module.benchmark(name, iterations, dimensions);
+}
+exports.default = VectorDB;
+//# sourceMappingURL=browser.js.map

npm/wasm/src/browser.js.map

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npm/wasm/src/browser.ts

@@ -0,0 +1,123 @@
+/**
+ * Browser-specific exports for @ruvector/wasm
+ */
+
+import type { VectorEntry, SearchResult, DbOptions } from './index';
+
+let wasmModule: any = null;
+
+/**
+ * Initialize WASM module for browser
+ */
+async function initWasm() {
+  if (!wasmModule) {
+    wasmModule = await import('../pkg/ruvector_wasm.js');
+    await wasmModule.default();
+  }
+  return wasmModule;
+}
+
+/**
+ * VectorDB class for browser
+ */
+export class VectorDB {
+  private db: any;
+  private dimensions: number;
+
+  constructor(options: DbOptions) {
+    this.dimensions = options.dimensions;
+  }
+
+  async init(): Promise<void> {
+    const module = await initWasm();
+    this.db = new module.VectorDB(
+      this.dimensions,
+      'cosine',
+      true
+    );
+  }
+
+  insert(vector: Float32Array | number[], id?: string, metadata?: Record<string, any>): string {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const vectorArray = vector instanceof Float32Array ? vector : new Float32Array(vector);
+    return this.db.insert(vectorArray, id, metadata);
+  }
+
+  insertBatch(entries: VectorEntry[]): string[] {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const processedEntries = entries.map(entry => ({
+      id: entry.id,
+      vector: entry.vector instanceof Float32Array ? entry.vector : new Float32Array(entry.vector),
+      metadata: entry.metadata
+    }));
+    return this.db.insertBatch(processedEntries);
+  }
+
+  search(query: Float32Array | number[], k: number, filter?: Record<string, any>): SearchResult[] {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const queryArray = query instanceof Float32Array ? query : new Float32Array(query);
+    const results = this.db.search(queryArray, k, filter);
+    return results.map((r: any) => ({
+      id: r.id,
+      score: r.score,
+      vector: r.vector,
+      metadata: r.metadata
+    }));
+  }
+
+  delete(id: string): boolean {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.delete(id);
+  }
+
+  get(id: string): VectorEntry | null {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const entry = this.db.get(id);
+    if (!entry) return null;
+    return { id: entry.id, vector: entry.vector, metadata: entry.metadata };
+  }
+
+  len(): number {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.len();
+  }
+
+  isEmpty(): boolean {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.isEmpty();
+  }
+
+  getDimensions(): number {
+    return this.dimensions;
+  }
+
+  async saveToIndexedDB(): Promise<void> {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    await this.db.saveToIndexedDB();
+  }
+
+  static async loadFromIndexedDB(dbName: string, options: DbOptions): Promise<VectorDB> {
+    const db = new VectorDB(options);
+    await db.init();
+    await db.db.loadFromIndexedDB(dbName);
+    return db;
+  }
+}
+
+export async function detectSIMD(): Promise<boolean> {
+  const module = await initWasm();
+  return module.detectSIMD();
+}
+
+export async function version(): Promise<string> {
+  const module = await initWasm();
+  return module.version();
+}
+
+export async function benchmark(name: string, iterations: number, dimensions: number): Promise<number> {
+  const module = await initWasm();
+  return module.benchmark(name, iterations, dimensions);
+}
+
+export type { VectorEntry, SearchResult, DbOptions };
+export default VectorDB;

npm/wasm/src/index.d.ts.map

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npm/wasm/src/index.test.ts

@@ -0,0 +1,125 @@
+/**
+ * Tests for @ruvector/wasm
+ */
+
+import { VectorDB, detectSIMD, version } from './node';
+
+async function testBasicOperations() {
+  console.log('Testing basic VectorDB operations...');
+
+  // Create database
+  const db = new VectorDB({ dimensions: 3 });
+  await db.init();
+
+  // Test insert
+  const vector1 = new Float32Array([1.0, 0.0, 0.0]);
+  const id1 = db.insert(vector1, 'vec1', { label: 'test1' });
+  console.log('✓ Insert single vector:', id1);
+
+  // Test batch insert
+  const entries = [
+    { vector: [0.0, 1.0, 0.0], id: 'vec2', metadata: { label: 'test2' } },
+    { vector: [0.0, 0.0, 1.0], id: 'vec3', metadata: { label: 'test3' } },
+  ];
+  const ids = db.insertBatch(entries);
+  console.log('✓ Batch insert:', ids);
+
+  // Test len
+  const count = db.len();
+  console.log('✓ Vector count:', count);
+  if (count !== 3) throw new Error('Expected 3 vectors');
+
+  // Test search
+  const query = new Float32Array([1.0, 0.1, 0.0]);
+  const results = db.search(query, 2);
+  console.log('✓ Search results:', results.length);
+  if (results.length !== 2) throw new Error('Expected 2 results');
+
+  // Test get
+  const entry = db.get('vec1');
+  console.log('✓ Get by ID:', entry?.id);
+  if (!entry || entry.id !== 'vec1') throw new Error('Expected vec1');
+
+  // Test delete
+  const deleted = db.delete('vec1');
+  console.log('✓ Delete:', deleted);
+  if (!deleted) throw new Error('Expected delete to succeed');
+
+  // Test isEmpty
+  const isEmpty = db.isEmpty();
+  console.log('✓ Is empty:', isEmpty);
+  if (isEmpty) throw new Error('Expected database to not be empty');
+
+  // Test getDimensions
+  const dims = db.getDimensions();
+  console.log('✓ Dimensions:', dims);
+  if (dims !== 3) throw new Error('Expected 3 dimensions');
+
+  console.log('✓ All basic operations passed!\n');
+}
+
+async function testUtilities() {
+  console.log('Testing utility functions...');
+
+  // Test version
+  const ver = await version();
+  console.log('✓ Version:', ver);
+
+  // Test SIMD detection
+  const hasSIMD = await detectSIMD();
+  console.log('✓ SIMD support:', hasSIMD);
+
+  console.log('✓ All utility tests passed!\n');
+}
+
+async function testErrorHandling() {
+  console.log('Testing error handling...');
+
+  try {
+    const db = new VectorDB({ dimensions: 3 });
+    // Should throw error if not initialized
+    db.insert(new Float32Array([1, 2, 3]));
+    throw new Error('Expected error when using uninitialized database');
+  } catch (err: any) {
+    if (err.message.includes('not initialized')) {
+      console.log('✓ Uninitialized database error');
+    } else {
+      throw err;
+    }
+  }
+
+  try {
+    const db = new VectorDB({ dimensions: 3 });
+    await db.init();
+    // Should handle dimension mismatch
+    const wrongVector = new Float32Array([1, 2, 3, 4, 5]);
+    db.search(wrongVector, 5);
+    throw new Error('Expected dimension mismatch error');
+  } catch (err: any) {
+    if (err.message.includes('dimension')) {
+      console.log('✓ Dimension mismatch error');
+    } else {
+      throw err;
+    }
+  }
+
+  console.log('✓ All error handling tests passed!\n');
+}
+
+async function runAllTests() {
+  console.log('Starting @ruvector/wasm tests...\n');
+
+  try {
+    await testUtilities();
+    await testBasicOperations();
+    await testErrorHandling();
+
+    console.log('✅ ALL TESTS PASSED!');
+    process.exit(0);
+  } catch (error) {
+    console.error('❌ TEST FAILED:', error);
+    process.exit(1);
+  }
+}
+
+runAllTests();

npm/wasm/src/index.ts

@@ -0,0 +1,302 @@
+/**
+ * @ruvector/wasm - WebAssembly bindings for Ruvector
+ *
+ * High-performance vector database for browsers and Node.js
+ * Features:
+ * - SIMD acceleration (when available)
+ * - Multiple distance metrics (cosine, euclidean, dot product, manhattan)
+ * - HNSW indexing for fast approximate nearest neighbor search
+ * - Zero-copy operations via transferable objects
+ * - IndexedDB persistence (browser)
+ * - File system persistence (Node.js)
+ */
+
+// Auto-detect environment and load appropriate WASM module
+const isBrowser = typeof window !== 'undefined' && typeof window.document !== 'undefined';
+const isNode = typeof process !== 'undefined' && process.versions != null && process.versions.node != null;
+
+/**
+ * Vector entry interface
+ */
+export interface VectorEntry {
+  id?: string;
+  vector: Float32Array | number[];
+  metadata?: Record<string, any>;
+}
+
+/**
+ * Search result interface
+ */
+export interface SearchResult {
+  id: string;
+  score: number;
+  vector?: Float32Array;
+  metadata?: Record<string, any>;
+}
+
+/**
+ * Database options
+ */
+export interface DbOptions {
+  dimensions: number;
+  metric?: 'euclidean' | 'cosine' | 'dotproduct' | 'manhattan';
+  useHnsw?: boolean;
+}
+
+/**
+ * VectorDB class - unified interface for browser and Node.js
+ */
+export class VectorDB {
+  private wasmModule: any;
+  private db: any;
+  private dimensions: number;
+
+  constructor(options: DbOptions) {
+    this.dimensions = options.dimensions;
+  }
+
+  /**
+   * Initialize the database (async)
+   * Must be called before using the database
+   */
+  async init(): Promise<void> {
+    if (isBrowser) {
+      this.wasmModule = await import('../pkg/ruvector_wasm.js');
+      await this.wasmModule.default();
+      this.db = new this.wasmModule.VectorDB(
+        this.dimensions,
+        'cosine',
+        true
+      );
+    } else if (isNode) {
+      this.wasmModule = await import('../pkg-node/ruvector_wasm.js');
+      this.db = new this.wasmModule.VectorDB(
+        this.dimensions,
+        'cosine',
+        true
+      );
+    } else {
+      throw new Error('Unsupported environment');
+    }
+  }
+
+  /**
+   * Insert a single vector
+   */
+  insert(vector: Float32Array | number[], id?: string, metadata?: Record<string, any>): string {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    const vectorArray = vector instanceof Float32Array
+      ? vector
+      : new Float32Array(vector);
+
+    return this.db.insert(vectorArray, id, metadata);
+  }
+
+  /**
+   * Insert multiple vectors in a batch
+   */
+  insertBatch(entries: VectorEntry[]): string[] {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    const processedEntries = entries.map(entry => ({
+      id: entry.id,
+      vector: entry.vector instanceof Float32Array
+        ? entry.vector
+        : new Float32Array(entry.vector),
+      metadata: entry.metadata
+    }));
+
+    return this.db.insertBatch(processedEntries);
+  }
+
+  /**
+   * Search for similar vectors
+   */
+  search(query: Float32Array | number[], k: number, filter?: Record<string, any>): SearchResult[] {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    const queryArray = query instanceof Float32Array
+      ? query
+      : new Float32Array(query);
+
+    const results = this.db.search(queryArray, k, filter);
+
+    // Convert WASM results to plain objects
+    return results.map((r: any) => ({
+      id: r.id,
+      score: r.score,
+      vector: r.vector,
+      metadata: r.metadata
+    }));
+  }
+
+  /**
+   * Delete a vector by ID
+   */
+  delete(id: string): boolean {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    return this.db.delete(id);
+  }
+
+  /**
+   * Get a vector by ID
+   */
+  get(id: string): VectorEntry | null {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    const entry = this.db.get(id);
+    if (!entry) return null;
+
+    return {
+      id: entry.id,
+      vector: entry.vector,
+      metadata: entry.metadata
+    };
+  }
+
+  /**
+   * Get the number of vectors in the database
+   */
+  len(): number {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    return this.db.len();
+  }
+
+  /**
+   * Check if the database is empty
+   */
+  isEmpty(): boolean {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    return this.db.isEmpty();
+  }
+
+  /**
+   * Get database dimensions
+   */
+  getDimensions(): number {
+    return this.dimensions;
+  }
+
+  /**
+   * Save database to persistent storage
+   * - Browser: IndexedDB
+   * - Node.js: File system
+   */
+  async save(path?: string): Promise<void> {
+    if (!this.db) {
+      throw new Error('Database not initialized. Call init() first.');
+    }
+
+    if (isBrowser) {
+      await this.db.saveToIndexedDB();
+    } else if (isNode) {
+      // Node.js file system persistence would go here
+      console.warn('Node.js persistence not yet implemented');
+    }
+  }
+
+  /**
+   * Load database from persistent storage
+   */
+  static async load(path: string, options: DbOptions): Promise<VectorDB> {
+    const db = new VectorDB(options);
+    await db.init();
+
+    if (isBrowser) {
+      await db.db.loadFromIndexedDB(path);
+    } else if (isNode) {
+      // Node.js file system loading would go here
+      console.warn('Node.js persistence not yet implemented');
+    }
+
+    return db;
+  }
+}
+
+/**
+ * Detect SIMD support in current environment
+ */
+export async function detectSIMD(): Promise<boolean> {
+  try {
+    if (isBrowser) {
+      const module = await import('../pkg/ruvector_wasm.js');
+      await module.default();
+      return module.detectSIMD();
+    } else if (isNode) {
+      const module = await import('../pkg-node/ruvector_wasm.js');
+      return module.detectSIMD();
+    }
+    return false;
+  } catch (error) {
+    console.error('Error detecting SIMD:', error);
+    return false;
+  }
+}
+
+/**
+ * Get version information
+ */
+export async function version(): Promise<string> {
+  try {
+    if (isBrowser) {
+      const module = await import('../pkg/ruvector_wasm.js');
+      await module.default();
+      return module.version();
+    } else if (isNode) {
+      const module = await import('../pkg-node/ruvector_wasm.js');
+      return module.version();
+    }
+    return 'unknown';
+  } catch (error) {
+    console.error('Error getting version:', error);
+    return 'unknown';
+  }
+}
+
+/**
+ * Run a benchmark
+ */
+export async function benchmark(
+  name: string,
+  iterations: number,
+  dimensions: number
+): Promise<number> {
+  try {
+    if (isBrowser) {
+      const module = await import('../pkg/ruvector_wasm.js');
+      await module.default();
+      return module.benchmark(name, iterations, dimensions);
+    } else if (isNode) {
+      const module = await import('../pkg-node/ruvector_wasm.js');
+      return module.benchmark(name, iterations, dimensions);
+    }
+    return 0;
+  } catch (error) {
+    console.error('Error running benchmark:', error);
+    return 0;
+  }
+}
+
+// Export types
+export type { DbOptions, VectorEntry, SearchResult };
+
+// Default export
+export default VectorDB;

npm/wasm/src/node.d.ts

@@ -0,0 +1,29 @@
+/**
+ * Node.js-specific exports for @ruvector/wasm
+ */
+import type { VectorEntry, SearchResult, DbOptions } from './index';
+/**
+ * VectorDB class for Node.js
+ */
+export declare class VectorDB {
+    private db;
+    private dimensions;
+    constructor(options: DbOptions);
+    init(): Promise<void>;
+    insert(vector: Float32Array | number[], id?: string, metadata?: Record<string, any>): string;
+    insertBatch(entries: VectorEntry[]): string[];
+    search(query: Float32Array | number[], k: number, filter?: Record<string, any>): SearchResult[];
+    delete(id: string): boolean;
+    get(id: string): VectorEntry | null;
+    len(): number;
+    isEmpty(): boolean;
+    getDimensions(): number;
+    saveToFile(path: string): Promise<void>;
+    static loadFromFile(path: string, options: DbOptions): Promise<VectorDB>;
+}
+export declare function detectSIMD(): Promise<boolean>;
+export declare function version(): Promise<string>;
+export declare function benchmark(name: string, iterations: number, dimensions: number): Promise<number>;
+export type { VectorEntry, SearchResult, DbOptions };
+export default VectorDB;
+//# sourceMappingURL=node.d.ts.map

npm/wasm/src/node.d.ts.map

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npm/wasm/src/node.js

@@ -0,0 +1,143 @@
+"use strict";
+/**
+ * Node.js-specific exports for @ruvector/wasm
+ */
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || (function () {
+    var ownKeys = function(o) {
+        ownKeys = Object.getOwnPropertyNames || function (o) {
+            var ar = [];
+            for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
+            return ar;
+        };
+        return ownKeys(o);
+    };
+    return function (mod) {
+        if (mod && mod.__esModule) return mod;
+        var result = {};
+        if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
+        __setModuleDefault(result, mod);
+        return result;
+    };
+})();
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.VectorDB = void 0;
+exports.detectSIMD = detectSIMD;
+exports.version = version;
+exports.benchmark = benchmark;
+let wasmModule = null;
+/**
+ * Initialize WASM module for Node.js
+ */
+async function initWasm() {
+    if (!wasmModule) {
+        wasmModule = await Promise.resolve().then(() => __importStar(require('../pkg-node/ruvector_wasm.js')));
+    }
+    return wasmModule;
+}
+/**
+ * VectorDB class for Node.js
+ */
+class VectorDB {
+    constructor(options) {
+        this.dimensions = options.dimensions;
+    }
+    async init() {
+        const module = await initWasm();
+        this.db = new module.VectorDB(this.dimensions, 'cosine', true);
+    }
+    insert(vector, id, metadata) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const vectorArray = vector instanceof Float32Array ? vector : new Float32Array(vector);
+        return this.db.insert(vectorArray, id, metadata);
+    }
+    insertBatch(entries) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const processedEntries = entries.map(entry => ({
+            id: entry.id,
+            vector: entry.vector instanceof Float32Array ? entry.vector : new Float32Array(entry.vector),
+            metadata: entry.metadata
+        }));
+        return this.db.insertBatch(processedEntries);
+    }
+    search(query, k, filter) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const queryArray = query instanceof Float32Array ? query : new Float32Array(query);
+        const results = this.db.search(queryArray, k, filter);
+        return results.map((r) => ({
+            id: r.id,
+            score: r.score,
+            vector: r.vector,
+            metadata: r.metadata
+        }));
+    }
+    delete(id) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.delete(id);
+    }
+    get(id) {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        const entry = this.db.get(id);
+        if (!entry)
+            return null;
+        return { id: entry.id, vector: entry.vector, metadata: entry.metadata };
+    }
+    len() {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.len();
+    }
+    isEmpty() {
+        if (!this.db)
+            throw new Error('Database not initialized. Call init() first.');
+        return this.db.isEmpty();
+    }
+    getDimensions() {
+        return this.dimensions;
+    }
+    // Node.js specific: save to file system
+    async saveToFile(path) {
+        console.warn('Node.js file persistence not yet implemented');
+    }
+    static async loadFromFile(path, options) {
+        const db = new VectorDB(options);
+        await db.init();
+        console.warn('Node.js file persistence not yet implemented');
+        return db;
+    }
+}
+exports.VectorDB = VectorDB;
+async function detectSIMD() {
+    const module = await initWasm();
+    return module.detectSIMD();
+}
+async function version() {
+    const module = await initWasm();
+    return module.version();
+}
+async function benchmark(name, iterations, dimensions) {
+    const module = await initWasm();
+    return module.benchmark(name, iterations, dimensions);
+}
+exports.default = VectorDB;
+//# sourceMappingURL=node.js.map

npm/wasm/src/node.js.map

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npm/wasm/src/node.ts

@@ -0,0 +1,122 @@
+/**
+ * Node.js-specific exports for @ruvector/wasm
+ */
+
+import type { VectorEntry, SearchResult, DbOptions } from './index';
+
+let wasmModule: any = null;
+
+/**
+ * Initialize WASM module for Node.js
+ */
+async function initWasm() {
+  if (!wasmModule) {
+    wasmModule = await import('../pkg-node/ruvector_wasm.js');
+  }
+  return wasmModule;
+}
+
+/**
+ * VectorDB class for Node.js
+ */
+export class VectorDB {
+  private db: any;
+  private dimensions: number;
+
+  constructor(options: DbOptions) {
+    this.dimensions = options.dimensions;
+  }
+
+  async init(): Promise<void> {
+    const module = await initWasm();
+    this.db = new module.VectorDB(
+      this.dimensions,
+      'cosine',
+      true
+    );
+  }
+
+  insert(vector: Float32Array | number[], id?: string, metadata?: Record<string, any>): string {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const vectorArray = vector instanceof Float32Array ? vector : new Float32Array(vector);
+    return this.db.insert(vectorArray, id, metadata);
+  }
+
+  insertBatch(entries: VectorEntry[]): string[] {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const processedEntries = entries.map(entry => ({
+      id: entry.id,
+      vector: entry.vector instanceof Float32Array ? entry.vector : new Float32Array(entry.vector),
+      metadata: entry.metadata
+    }));
+    return this.db.insertBatch(processedEntries);
+  }
+
+  search(query: Float32Array | number[], k: number, filter?: Record<string, any>): SearchResult[] {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const queryArray = query instanceof Float32Array ? query : new Float32Array(query);
+    const results = this.db.search(queryArray, k, filter);
+    return results.map((r: any) => ({
+      id: r.id,
+      score: r.score,
+      vector: r.vector,
+      metadata: r.metadata
+    }));
+  }
+
+  delete(id: string): boolean {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.delete(id);
+  }
+
+  get(id: string): VectorEntry | null {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    const entry = this.db.get(id);
+    if (!entry) return null;
+    return { id: entry.id, vector: entry.vector, metadata: entry.metadata };
+  }
+
+  len(): number {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.len();
+  }
+
+  isEmpty(): boolean {
+    if (!this.db) throw new Error('Database not initialized. Call init() first.');
+    return this.db.isEmpty();
+  }
+
+  getDimensions(): number {
+    return this.dimensions;
+  }
+
+  // Node.js specific: save to file system
+  async saveToFile(path: string): Promise<void> {
+    console.warn('Node.js file persistence not yet implemented');
+  }
+
+  static async loadFromFile(path: string, options: DbOptions): Promise<VectorDB> {
+    const db = new VectorDB(options);
+    await db.init();
+    console.warn('Node.js file persistence not yet implemented');
+    return db;
+  }
+}
+
+export async function detectSIMD(): Promise<boolean> {
+  const module = await initWasm();
+  return module.detectSIMD();
+}
+
+export async function version(): Promise<string> {
+  const module = await initWasm();
+  return module.version();
+}
+
+export async function benchmark(name: string, iterations: number, dimensions: number): Promise<number> {
+  const module = await initWasm();
+  return module.benchmark(name, iterations, dimensions);
+}
+
+export type { VectorEntry, SearchResult, DbOptions };
+export default VectorDB;

npm/wasm/tsconfig.esm.json

@@ -0,0 +1,10 @@
+{
+  "extends": "./tsconfig.json",
+  "compilerOptions": {
+    "module": "ES2020",
+    "outDir": "./dist",
+    "declaration": false
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist", "**/*.test.ts"]
+}

npm/wasm/tsconfig.json

@@ -0,0 +1,20 @@
+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "module": "commonjs",
+    "lib": ["ES2020", "DOM"],
+    "declaration": true,
+    "declarationMap": true,
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "moduleResolution": "node",
+    "resolveJsonModule": true,
+    "types": ["node"]
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist", "**/*.test.ts"]
+}