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/**

* Basic usage example for Ruvector (Node.js)

*

* Demonstrates:

* - Creating a database

* - Inserting vectors

* - Searching for similar vectors

*/

const { VectorDB } = require('ruvector');

async function main() {

console.log('🚀 Ruvector Basic Usage Example (Node.js)\n');

// 1. Create a database

console.log('1. Creating database...');

const db = new VectorDB({

dimensions: 128,

storagePath: './examples_basic_node.db',

distanceMetric: 'cosine'

});

console.log(' ✓ Database created with 128 dimensions\n');

// 2. Insert a single vector

console.log('2. Inserting single vector...');

const vector = new Float32Array(128).fill(0.1);

const id = await db.insert({

id: 'doc_001',

vector: vector,

metadata: { text: 'Example document' }

});

console.log(` ✓ Inserted vector: ${id}\n`);

// 3. Insert multiple vectors

console.log('3. Inserting multiple vectors...');

const entries = Array.from({ length: 100 }, (_, i) => ({

id: `doc_${String(i + 2).padStart(3, '0')}`,

vector: new Float32Array(128).fill(0.1 + i * 0.001),

metadata: { index: i + 2 }

}));

const ids = await db.insertBatch(entries);

console.log(` ✓ Inserted ${ids.length} vectors\n`);

// 4. Search for similar vectors

console.log('4. Searching for similar vectors...');

const queryVector = new Float32Array(128).fill(0.15);

const results = await db.search({

vector: queryVector,

k: 5,

includeMetadata: true

});

console.log(` ✓ Found ${results.length} results:`);

results.forEach((result, i) => {

console.log(` ${i + 1}. ID: ${result.id}, Distance: ${result.distance.toFixed(6)}`);

});

console.log();

// 5. Get database stats

console.log('5. Database statistics:');

const total = db.count();

console.log(` ✓ Total vectors: ${total}\n`);

console.log('✅ Example completed successfully!');

}

main().catch(console.error);