Skip to main content
Glama
node-basic.js2.4 kB
/** * Basic Node.js usage example */ const { createDb, Vector } = require('../dist/index.js'); async function main() { console.log('SQLiteVector - Node.js Example\n'); // Create in-memory database console.log('Creating database...'); const db = await createDb({ memoryMode: true }); // Insert vectors console.log('Inserting vectors...'); const vector1 = new Vector([0.1, 0.2, 0.3], { doc: 'First document' }); const vector2 = new Vector([0.4, 0.5, 0.6], { doc: 'Second document' }); const vector3 = new Vector([0.15, 0.25, 0.35], { doc: 'Similar to first' }); const id1 = await db.insert(vector1); const id2 = await db.insert(vector2); const id3 = await db.insert(vector3); console.log(`Inserted vectors with IDs: ${id1}, ${id2}, ${id3}`); // Batch insert console.log('\nBatch inserting vectors...'); const batchVectors = [ new Vector([0.7, 0.8, 0.9], { doc: 'Batch 1' }), new Vector([0.2, 0.3, 0.4], { doc: 'Batch 2' }), ]; const batchIds = await db.insertBatch(batchVectors); console.log(`Batch inserted IDs: ${batchIds.join(', ')}`); // Search for similar vectors console.log('\nSearching for similar vectors...'); const query = new Vector([0.12, 0.22, 0.32]); const results = await db.search(query, 3, { metric: 'cosine' }); console.log('Search results:'); results.forEach((result, i) => { console.log(` ${i + 1}. ID: ${result.id}, Score: ${result.score.toFixed(4)}, Metadata:`, result.metadata); }); // Get statistics console.log('\nDatabase statistics:'); const stats = await db.getStats(); console.log(` Total vectors: ${stats.totalVectors}`); console.log(` Dimension: ${stats.dimension}`); console.log(` Memory usage: ${(stats.memoryUsage / 1024).toFixed(2)} KB`); console.log(` DB size: ${(stats.dbSize / 1024).toFixed(2)} KB`); // Update a vector console.log('\nUpdating vector...'); const updated = await db.update(id1, new Vector([0.11, 0.21, 0.31], { doc: 'Updated first' })); console.log(`Update successful: ${updated}`); // Delete a vector console.log('\nDeleting vector...'); const deleted = await db.delete(id2); console.log(`Delete successful: ${deleted}`); // Final stats const finalStats = await db.getStats(); console.log(`\nFinal vector count: ${finalStats.totalVectors}`); console.log('\nExample completed successfully!'); } main().catch(console.error);

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/airmcp-com/mcp-standards'

If you have feedback or need assistance with the MCP directory API, please join our Discord server