@juspay/neurolink/dist/rag/chunking/markdownChunker.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

/**
 * Markdown-aware Chunker
 *
 * Splits markdown documents based on header structure while preserving formatting.
 * Best for documentation, README files, and structured markdown content.
 */
import type { BaseChunkerConfig, Chunk, Chunker, ChunkerValidationResult, MarkdownChunkerConfig } from "../../types/index.js";
/**
 * Markdown-aware chunker implementation
 * Splits based on markdown structure (headers, code blocks, etc.)
 */
export declare class MarkdownChunker implements Chunker {
    readonly strategy: "markdown";
    chunk(text: string, config?: MarkdownChunkerConfig): Promise<Chunk[]>;
    private splitByHeaders;
    private splitContent;
    /**
     * Detect contiguous table blocks in lines.
     * Returns array of { start, end } line index ranges (inclusive).
     */
    private detectTableRanges;
    /** Check if a line is a markdown table separator (e.g. |---|---|). */
    private isTableSeparator;
    /**
     * Split content while preserving markdown tables.
     */
    private splitContentTableAware;
    /**
     * Split a table on row boundaries, repeating header + separator in each chunk.
     */
    private splitTableByRows;
    private splitPlainContent;
    private stripMarkdown;
    validateConfig(config: BaseChunkerConfig): ChunkerValidationResult;
}