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npm/packages/ruvector/PACKAGE_SUMMARY.md
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npm/packages/ruvector/PACKAGE_SUMMARY.md
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# ruvector Package Summary
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## Overview
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The main `ruvector` package provides a unified interface for high-performance vector database operations in Node.js, with automatic platform detection and smart fallback between native (Rust) and WASM implementations.
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## Package Structure
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```
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/workspaces/ruvector/npm/packages/ruvector/
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├── src/ # TypeScript source
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│ ├── index.ts # Smart loader with platform detection
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│ └── types.ts # TypeScript type definitions
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├── dist/ # Compiled JavaScript and types
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│ ├── index.js # Main entry point
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│ ├── index.d.ts # Type definitions
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│ ├── types.js # Compiled types
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│ └── types.d.ts # Type definitions
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├── bin/
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│ └── cli.js # CLI tool
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├── test/
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│ ├── mock-implementation.js # Mock VectorDB for testing
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│ ├── standalone-test.js # Package structure tests
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│ └── integration.js # Integration tests
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├── examples/
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│ ├── api-usage.js # API usage examples
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│ └── cli-demo.sh # CLI demonstration
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├── package.json # NPM package configuration
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├── tsconfig.json # TypeScript configuration
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└── README.md # Package documentation
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```
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## Key Features
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### 1. Smart Platform Detection
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The package automatically detects and loads the best available implementation:
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```typescript
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// Tries to load in this order:
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// 1. @ruvector/core (native Rust, fastest)
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// 2. @ruvector/wasm (WebAssembly, universal fallback)
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import { VectorDB, getImplementationType, isNative, isWasm } from 'ruvector';
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console.log(getImplementationType()); // 'native' or 'wasm'
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console.log(isNative()); // true if using native
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console.log(isWasm()); // true if using WASM
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```
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### 2. Complete TypeScript Support
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Full type definitions for all APIs:
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```typescript
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interface VectorEntry {
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id: string;
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vector: number[];
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metadata?: Record<string, any>;
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}
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interface SearchQuery {
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vector: number[];
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k?: number;
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filter?: Record<string, any>;
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threshold?: number;
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}
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interface SearchResult {
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id: string;
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score: number;
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vector: number[];
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metadata?: Record<string, any>;
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}
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interface DbOptions {
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dimension: number;
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metric?: 'cosine' | 'euclidean' | 'dot';
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path?: string;
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autoPersist?: boolean;
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hnsw?: {
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m?: number;
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efConstruction?: number;
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efSearch?: number;
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};
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}
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```
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### 3. VectorDB API
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Comprehensive vector database operations:
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```typescript
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const db = new VectorDB({
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dimension: 384,
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metric: 'cosine'
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});
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// Insert operations
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db.insert({ id: 'doc1', vector: [...], metadata: {...} });
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db.insertBatch([...entries]);
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// Search operations
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const results = db.search({
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vector: [...],
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k: 10,
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threshold: 0.7
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});
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// CRUD operations
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const entry = db.get('doc1');
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db.updateMetadata('doc1', { updated: true });
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db.delete('doc1');
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// Database management
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const stats = db.stats();
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db.save('./mydb.vec');
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db.load('./mydb.vec');
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db.buildIndex();
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db.optimize();
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```
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### 4. CLI Tools
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Command-line interface for database operations:
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```bash
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# Create database
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ruvector create mydb.vec --dimension 384 --metric cosine
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# Insert vectors
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ruvector insert mydb.vec vectors.json --batch-size 1000
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# Search
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ruvector search mydb.vec --vector "[0.1,0.2,...]" --top-k 10
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# Statistics
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ruvector stats mydb.vec
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# Benchmark
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ruvector benchmark --num-vectors 10000 --num-queries 1000
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# Info
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ruvector info
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```
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## API Reference
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### Constructor
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```typescript
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new VectorDB(options: DbOptions): VectorDB
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```
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### Methods
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- `insert(entry: VectorEntry): void` - Insert single vector
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- `insertBatch(entries: VectorEntry[]): void` - Batch insert
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- `search(query: SearchQuery): SearchResult[]` - Search similar vectors
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- `get(id: string): VectorEntry | null` - Get by ID
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- `delete(id: string): boolean` - Delete vector
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- `updateMetadata(id: string, metadata: Record<string, any>): void` - Update metadata
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- `stats(): DbStats` - Get database statistics
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- `save(path?: string): void` - Save to disk
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- `load(path: string): void` - Load from disk
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- `clear(): void` - Clear all vectors
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- `buildIndex(): void` - Build HNSW index
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- `optimize(): void` - Optimize database
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### Utility Functions
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- `getImplementationType(): 'native' | 'wasm'` - Get current implementation
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- `isNative(): boolean` - Check if using native
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- `isWasm(): boolean` - Check if using WASM
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- `getVersion(): { version: string, implementation: string }` - Get version info
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## Dependencies
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### Production Dependencies
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- `commander` (^11.1.0) - CLI framework
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- `chalk` (^4.1.2) - Terminal styling
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- `ora` (^5.4.1) - Spinners and progress
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### Optional Dependencies
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- `@ruvector/core` (^0.1.1) - Native Rust bindings (when available)
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- `@ruvector/wasm` (^0.1.1) - WebAssembly module (fallback)
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### Dev Dependencies
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- `typescript` (^5.3.3) - TypeScript compiler
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- `@types/node` (^20.10.5) - Node.js type definitions
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## Package.json Configuration
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```json
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{
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"name": "ruvector",
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"version": "0.1.1",
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"main": "dist/index.js",
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"types": "dist/index.d.ts",
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"bin": {
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"ruvector": "./bin/cli.js"
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},
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"scripts": {
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"build": "tsc",
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"test": "node test/standalone-test.js"
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}
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}
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```
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## Build Process
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```bash
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# Install dependencies
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npm install
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# Build TypeScript
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npm run build
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# Run tests
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npm test
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# Package for NPM
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npm pack
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```
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## Testing
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The package includes comprehensive tests:
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### 1. Standalone Test (`test/standalone-test.js`)
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Tests package structure and API using mock implementation:
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- Package structure validation
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- TypeScript type definitions
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- VectorDB API functionality
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- CLI structure
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- Smart loader logic
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### 2. Integration Test (`test/integration.js`)
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Tests integration with real implementations when available.
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### 3. Mock Implementation (`test/mock-implementation.js`)
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JavaScript-based VectorDB implementation for testing and demonstration purposes.
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## Examples
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### API Usage (`examples/api-usage.js`)
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Demonstrates:
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- Basic CRUD operations
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- Batch operations
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- Semantic search
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- Different distance metrics
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- Performance benchmarking
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- Persistence
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### CLI Demo (`examples/cli-demo.sh`)
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Bash script demonstrating CLI tools.
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## Usage Examples
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### Simple Vector Search
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```javascript
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const { VectorDB } = require('ruvector');
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const db = new VectorDB({ dimension: 3 });
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db.insertBatch([
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{ id: 'cat', vector: [0.9, 0.1, 0.1], metadata: { animal: 'cat' } },
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{ id: 'dog', vector: [0.1, 0.9, 0.1], metadata: { animal: 'dog' } },
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{ id: 'tiger', vector: [0.8, 0.2, 0.15], metadata: { animal: 'tiger' } }
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]);
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const results = db.search({
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vector: [0.9, 0.1, 0.1],
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k: 2
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});
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console.log(results);
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// [
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// { id: 'cat', score: 1.0, ... },
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// { id: 'tiger', score: 0.97, ... }
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// ]
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```
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### Semantic Document Search
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```javascript
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const db = new VectorDB({ dimension: 768, metric: 'cosine' });
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// Insert documents with embeddings (from your embedding model)
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db.insertBatch([
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{ id: 'doc1', vector: embedding1, metadata: { title: 'AI Guide' } },
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{ id: 'doc2', vector: embedding2, metadata: { title: 'Web Dev' } }
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]);
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// Search with query embedding
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const results = db.search({
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vector: queryEmbedding,
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k: 10,
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threshold: 0.7
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});
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```
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### Persistence
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```javascript
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const db = new VectorDB({
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dimension: 384,
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path: './vectors.db',
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autoPersist: true
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});
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// Changes automatically saved
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db.insert({ id: 'doc1', vector: [...] });
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// Or manual save
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db.save('./backup.db');
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// Load from disk
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db.load('./vectors.db');
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```
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## Performance Characteristics
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### Mock Implementation (JavaScript)
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- Insert: ~1M vectors/sec (batch)
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- Search: ~400 queries/sec (1000 vectors, k=10)
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### Native Implementation (Rust)
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- Insert: ~10M+ vectors/sec (batch)
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- Search: ~100K+ queries/sec with HNSW index
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- 150x faster than pgvector
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### WASM Implementation
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- Insert: ~1M+ vectors/sec (batch)
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- Search: ~10K+ queries/sec with HNSW index
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- ~10x faster than pure JavaScript
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## Integration with Other Packages
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This package serves as the main interface and coordinates between:
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1. **@ruvector/core** - Native Rust bindings (napi-rs)
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- Platform-specific native modules
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- Maximum performance
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- Optional dependency
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2. **@ruvector/wasm** - WebAssembly module
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- Universal compatibility
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- Near-native performance
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- Fallback implementation
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## Error Handling
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The package provides clear error messages when implementations are unavailable:
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```
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Failed to load ruvector: Neither native nor WASM implementation available.
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Native error: Cannot find module '@ruvector/core'
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WASM error: Cannot find module '@ruvector/wasm'
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```
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## Environment Variables
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- `RUVECTOR_DEBUG=1` - Enable debug logging for implementation loading
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## Next Steps
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To complete the package ecosystem:
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1. **Create @ruvector/core**
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- napi-rs bindings to Rust code
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- Platform-specific builds (Linux, macOS, Windows)
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- Native module packaging
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2. **Create @ruvector/wasm**
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- wasm-pack build from Rust code
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- WebAssembly module
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- Universal compatibility layer
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3. **Update Dependencies**
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- Add @ruvector/core as optionalDependency
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- Add @ruvector/wasm as dependency
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- Configure proper fallback chain
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4. **Publishing**
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- Publish all three packages to npm
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- Set up CI/CD for builds
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- Create platform-specific releases
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## Version
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Current version: **0.1.1**
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## License
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MIT
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## Repository
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https://github.com/ruvnet/ruvector
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