@juspay/neurolink/dist/rag/chunking/semanticChunker.d.ts

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

/**
 * Semantic Chunker
 *
 * LLM-powered semantic chunking that groups related content together.
 * Uses embedding similarity to determine natural breakpoints.
 * Best for complex documents where meaning should drive segmentation.
 */
import type { BaseChunkerConfig, Chunk, Chunker, ChunkerValidationResult, SemanticChunkerConfig } from "../../types/index.js";
/**
 * Semantic chunker implementation
 * Uses embedding similarity to find natural content boundaries
 */
export declare class SemanticChunker implements Chunker {
    readonly strategy: "semantic";
    chunk(text: string, config?: SemanticChunkerConfig): Promise<Chunk[]>;
    /**
     * Split text into initial segments for embedding
     */
    private splitIntoSegments;
    /**
     * Get embeddings for segments
     */
    private getEmbeddings;
    /**
     * Find semantic breakpoints using cosine similarity
     */
    private findSemanticBreakpoints;
    /**
     * Group segments based on breakpoints and size limits
     */
    private groupSegments;
    /**
     * Calculate cosine similarity between two vectors
     */
    private cosineSimilarity;
    /**
     * Fallback to simple chunking when embeddings fail
     */
    private fallbackChunk;
    validateConfig(config: BaseChunkerConfig): ChunkerValidationResult;
}