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Create a zero-dependency TF-IDF search index for keyword-based search.

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Signature

constructor(config?: TFIDFConfig)

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Parameters

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TFIDFConfig

interface TFIDFConfig {
  defaultSimilarityThreshold?: number;
  defaultTopK?: number;
}
OptionTypeDefaultDescription
defaultSimilarityThresholdnumber0.0Default minimum similarity
defaultTopKnumber10Default results limit

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Example

import { TFIDFVectoria, DocumentMetadata } from 'vectoriadb';

interface ToolDocument extends DocumentMetadata {
  toolName: string;
  category: string;
}

const db = new TFIDFVectoria<ToolDocument>({
  defaultSimilarityThreshold: 0.0,
  defaultTopK: 10,
});

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Key Differences from VectoriaDB

FeatureTFIDFVectoriaVectoriaDB
DependenciesZerotransformers.js
InitializationSynchronousAsync
UnderstandingKeyword-basedSemantic
Reindex requiredYesNo

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When to Use

Use TFIDFVectoria when:
  • You need zero dependencies
  • Keyword matching is sufficient
  • No network access for model download
  • Small corpus (< 10K documents)

TFIDFVectoria Methods

All methods

TF-IDF Guide

Usage guide