@juspay/neurolink
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Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio
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TypeScript
/**
* LLM-powered Metadata Extractor
*
* Extracts structured metadata from document chunks using language models.
* Supports title, summary, keywords, Q&A pairs, and custom schema extraction.
*/
import type { Chunk, ExtractParams, ExtractionResult } from "../../types/index.js";
/**
* LLM-powered metadata extractor
* Extracts title, summary, keywords, Q&A pairs, and custom schema data
*/
export declare class LLMMetadataExtractor {
private provider;
private modelName;
constructor(options?: {
provider?: string;
modelName?: string;
});
/**
* Extract metadata from chunks based on configuration
* @param chunks - Array of chunks to extract metadata from
* @param params - Extraction parameters
* @returns Array of extraction results, one per chunk
*/
extract(chunks: Chunk[], params: ExtractParams): Promise<ExtractionResult[]>;
/**
* Group chunks by document ID
*/
private groupByDocument;
/**
* Extract title from document chunks
*/
private extractTitle;
/**
* Extract summary from a chunk
*/
private extractSummary;
/**
* Extract keywords from a chunk
*/
private extractKeywords;
/**
* Extract Q&A pairs from a chunk
*/
private extractQuestions;
/**
* Extract custom schema data from a chunk
*/
private extractCustom;
/**
* Parse Q&A pairs from LLM response
*/
private parseQAPairs;
/**
* Call the LLM with a prompt
*/
private callLLM;
}
/**
* Convenience function to extract metadata from chunks
* @param chunks - Chunks to process
* @param params - Extraction parameters
* @param options - Extractor options
* @returns Extraction results
*/
export declare function extractMetadata(chunks: Chunk[], params: ExtractParams, options?: {
provider?: string;
modelName?: string;
}): Promise<ExtractionResult[]>;