import type { RagChunk } from '../hallucination/rag.js';
export { MemoryVectorStore, createHashEmbeddings, cosineSimilarity, matchesMetadata, normalizeVector, type EmbeddingProvider, type VectorDocument, type VectorSearchOptions, type VectorSearchResult, type VectorStore, } from '../hallucination/retrieval.js';
export type { RagChunk } from '../hallucination/rag.js';
/** A document to split into chunks. */
export interface DocumentSource {
    /** Its id, used in chunk ids. Defaults to `doc-1`, `doc-2`, and so on. */
    id?: string;
    /** Its text. */
    text: string;
    /** Where it came from, carried on each chunk. */
    source?: string;
    /** Application data carried on each chunk. */
    metadata?: Record<string, unknown>;
}
/** How documents are split. */
export interface IngestionOptions {
    /** Most characters per chunk. Defaults to 1,200. */
    chunkSize?: number;
    /** Characters repeated between neighbouring chunks. Defaults to 150. */
    overlap?: number;
    /** Splits at Markdown headings first, so no chunk spans two sections. Off by default. */
    splitOnMarkdownHeadings?: boolean;
}
/** The chunks produced from a set of documents. */
export interface IngestionResult {
    /** The chunks, ready for a vector store. */
    chunks: RagChunk[];
    /** Documents read. */
    documents: number;
    /** Characters across every document. */
    totalCharacters: number;
}
/** Splits documents into overlapping chunks for retrieval. */
export declare function ingestDocuments(documents: DocumentSource[], options?: IngestionOptions): IngestionResult;
/** Splits one text into overlapping chunks for retrieval. */
export declare function ingestText(text: string, options?: IngestionOptions & {
    source?: string;
}): IngestionResult;