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getIndexName

getIndexName(): string
Returns the name of the encrypted index.

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Returns

string: The unique name identifier of the index.

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Example Usage

const indexName = index.getIndexName();
console.log('Index name:', indexName);
// Output: "my-vectors"

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getIndexType

getIndexType(): string | undefined
Returns the type of the index (for example, 'ivf', 'ivfpq', or 'ivfflat').

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Returns

string | undefined: The index type, or undefined if not set.

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Example Usage

const indexType = index.getIndexType();
console.log('Index type:', indexType);
// Output: "ivf"

if (indexType === 'ivfpq') {
    console.log('Using IVFPQ index for memory efficiency');
} else if (indexType === 'ivfflat') {
    console.log('Using IVFFlat index for high accuracy');
}

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isTrained

isTrained(): boolean
Returns whether the index has been trained. Training is required for optimal query performance on IVF-based indexes.

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Returns

boolean: true if the index has been trained, false otherwise.

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Example Usage

const trained = index.isTrained();
console.log('Index trained:', trained);

if (!trained) {
    console.log('Index needs training for optimal performance');
    await index.train();
}

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getIndexConfig

getIndexConfig(): IndexIVFFlatModel | IndexIVFModel | IndexIVFPQModel
Returns a copy of the index configuration object, preventing external modification of the internal state. The return type depends on the index type.

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Returns

  • IndexIVFFlatModel: For IVFFlat indexes
  • IndexIVFModel: For IVF indexes
  • IndexIVFPQModel: For IVFPQ indexes

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Example Usage

const config = index.getIndexConfig();
console.log('Index configuration:', config);

// Access common properties
console.log('Dimension:', config.dimension);
console.log('Metric:', config.metric);
console.log('Number of lists:', config.nLists);

// Type-specific properties
if (config.type === 'ivfpq') {
    const pqConfig = config as IndexIVFPQModel;
    console.log('PQ dimension:', pqConfig.pqDim);
    console.log('PQ bits:', pqConfig.pqBits);
}

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Configuration Properties

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Common Properties (All Index Types)

PropertyTypeDescription
typestringIndex type ('ivf', 'ivfflat', or 'ivfpq')
dimensionnumberVector dimensionality
metricstringDistance metric ('cosine', 'euclidean', etc.)
nListsnumberNumber of inverted lists for clustering

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IVFPQ-Specific Properties

PropertyTypeDescription
pqDimnumberProduct quantization dimension
pqBitsnumberNumber of bits for quantization

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Advanced Usage

// Check index capabilities based on configuration
function analyzeIndexCapabilities(index: EncryptedIndex) {
    const config = index.getIndexConfig();
    const indexName = index.getIndexName();
    const indexType = index.getIndexType();
    const trained = index.isTrained();
    
    console.log(`\nIndex Analysis: ${indexName}`);
    console.log('='.repeat(40));
    console.log(`Type: ${indexType}`);
    console.log(`Dimensions: ${config.dimension}`);
    console.log(`Metric: ${config.metric}`);
    console.log(`Lists: ${config.nLists}`);
    console.log(`Trained: ${trained ? 'Yes' : 'No'}`);
    
    // Performance characteristics
    if (indexType === 'ivfflat') {
        console.log('\nCharacteristics:');
        console.log('- Highest accuracy');
        console.log('- Slower queries');
        console.log('- Higher memory usage');
    } else if (indexType === 'ivfpq') {
        const pqConfig = config as IndexIVFPQModel;
        console.log('\nCharacteristics:');
        console.log('- Memory efficient');
        console.log('- Compressed vectors');
        console.log(`- PQ dimension: ${pqConfig.pqDim}`);
        console.log(`- Quantization bits: ${pqConfig.pqBits}`);
    } else {
        console.log('\nCharacteristics:');
        console.log('- Balanced performance');
        console.log('- Good accuracy/speed tradeoff');
    }
    
    // Recommendations
    console.log('\nRecommendations:');
    if (!trained) {
        console.log('- Train the index for optimal performance');
    }
    if (config.nLists && config.nLists < 100) {
        console.log('- Consider more lists for larger datasets');
    }
}

// Usage
analyzeIndexCapabilities(index);