118 lines
4.5 KiB
JavaScript
118 lines
4.5 KiB
JavaScript
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/**
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* Basic usage example for the Soulcraft Brainy database
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*/
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import { BrainyData } from '../brainyData.js';
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// Example data - word embeddings
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const wordEmbeddings = {
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cat: [0.2, 0.3, 0.4, 0.1],
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dog: [0.3, 0.2, 0.4, 0.2],
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fish: [0.1, 0.1, 0.8, 0.2],
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bird: [0.1, 0.4, 0.2, 0.5],
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tiger: [0.3, 0.4, 0.3, 0.1],
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lion: [0.4, 0.3, 0.2, 0.1],
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shark: [0.2, 0.1, 0.7, 0.3],
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eagle: [0.2, 0.5, 0.1, 0.4]
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};
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// Example metadata
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const metadata = {
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cat: { type: 'mammal', domesticated: true },
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dog: { type: 'mammal', domesticated: true },
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fish: { type: 'fish', domesticated: false },
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bird: { type: 'bird', domesticated: false },
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tiger: { type: 'mammal', domesticated: false },
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lion: { type: 'mammal', domesticated: false },
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shark: { type: 'fish', domesticated: false },
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eagle: { type: 'bird', domesticated: false }
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};
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/**
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* Run the example
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*/
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async function runExample() {
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console.log('Initializing vector database...');
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// Create a new vector database
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const db = new BrainyData();
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await db.init();
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console.log('Adding vectors to the database...');
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// Add vectors to the database
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const ids = {};
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for (const [word, vector] of Object.entries(wordEmbeddings)) {
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ids[word] = await db.add(vector, metadata[word]);
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console.log(`Added "${word}" with ID: ${ids[word]}`);
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}
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console.log('\nDatabase size:', db.size());
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// Search for similar vectors
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console.log('\nSearching for vectors similar to "cat"...');
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const catResults = await db.search(wordEmbeddings['cat'], 3);
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console.log('Results:');
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for (const result of catResults) {
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const word = Object.entries(ids).find(([_, id]) => id === result.id)?.[0] || 'unknown';
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console.log(`- ${word} (score: ${result.score.toFixed(4)}, metadata:`, result.metadata, ')');
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}
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// Search for similar vectors
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console.log('\nSearching for vectors similar to "fish"...');
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const fishResults = await db.search(wordEmbeddings['fish'], 3);
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console.log('Results:');
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for (const result of fishResults) {
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const word = Object.entries(ids).find(([_, id]) => id === result.id)?.[0] || 'unknown';
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console.log(`- ${word} (score: ${result.score.toFixed(4)}, metadata:`, result.metadata, ')');
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}
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// Update metadata
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console.log('\nUpdating metadata for "bird"...');
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await db.updateMetadata(ids['bird'], {
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...metadata['bird'],
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notes: 'Can fly'
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});
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// Get the updated document
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const birdDoc = await db.get(ids['bird']);
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console.log('Updated bird document:', birdDoc);
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// Delete a vector
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console.log('\nDeleting "shark"...');
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await db.delete(ids['shark']);
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console.log('Database size after deletion:', db.size());
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// Search again to verify shark is gone
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console.log('\nSearching for vectors similar to "fish" after deletion...');
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const fishResultsAfterDeletion = await db.search(wordEmbeddings['fish'], 3);
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console.log('Results:');
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for (const result of fishResultsAfterDeletion) {
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const word = Object.entries(ids).find(([_, id]) => id === result.id)?.[0] || 'unknown';
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console.log(`- ${word} (score: ${result.score.toFixed(4)}, metadata:`, result.metadata, ')');
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}
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console.log('\nExample completed successfully!');
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}
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// Check if we're in a browser or Node.js environment
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if (typeof window !== 'undefined') {
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// Browser environment
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document.addEventListener('DOMContentLoaded', () => {
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const button = document.createElement('button');
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button.textContent = 'Run BrainyData Example';
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button.addEventListener('click', async () => {
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const output = document.createElement('pre');
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document.body.appendChild(output);
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// Redirect console.log to the output element
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const originalLog = console.log;
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console.log = (...args) => {
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originalLog(...args);
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output.textContent +=
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args
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.map((arg) => typeof arg === 'object' ? JSON.stringify(arg, null, 2) : arg)
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.join(' ') + '\n';
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};
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try {
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await runExample();
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}
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catch (error) {
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console.error('Error running example:', error);
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}
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// Restore console.log
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console.log = originalLog;
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});
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document.body.appendChild(button);
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});
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}
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else {
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// Node.js environment
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runExample().catch((error) => {
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console.error('Error running example:', error);
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});
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}
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//# sourceMappingURL=basicUsage.js.map
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