/**
 * Result Aggregator
 * Combines chunk search results back to message level
 */
import type { ChunkSearchResult } from "../embeddings/VectorStore.js";
/**
 * Match info from a single chunk
 */
export interface ChunkMatch {
    chunkId: string;
    chunkIndex: number;
    totalChunks: number;
    content: string;
    startOffset: number;
    endOffset: number;
    similarity: number;
}
/**
 * Aggregated result combining multiple chunks from the same message
 */
export interface AggregatedResult {
    messageId: number;
    similarity: number;
    matchedChunks: ChunkMatch[];
    bestSnippet: string;
    totalChunks: number;
}
/**
 * Configuration for result aggregation
 */
export interface AggregationConfig {
    /** Minimum similarity threshold */
    minSimilarity: number;
    /** Maximum results to return after aggregation */
    limit: number;
    /** Whether to deduplicate similar content within conversation */
    deduplicate: boolean;
    /** Jaccard similarity threshold for deduplication (0-1) */
    deduplicationThreshold: number;
}
export declare const DEFAULT_AGGREGATION_CONFIG: AggregationConfig;
/**
 * Result Aggregator class
 */
export declare class ResultAggregator {
    private config;
    constructor(config?: Partial<AggregationConfig>);
    /**
     * Aggregate chunk search results by parent message
     */
    aggregate(chunkResults: ChunkSearchResult[]): AggregatedResult[];
    /**
     * Deduplicate similar results using Jaccard similarity
     */
    private deduplicateResults;
    /**
     * Merge results from multiple search sources (e.g., chunk + message embeddings)
     * Uses max similarity for duplicate message IDs
     */
    mergeResults(chunkResults: AggregatedResult[], messageResults: Array<{
        messageId: number;
        content: string;
        similarity: number;
    }>): AggregatedResult[];
}
/**
 * Get or create a result aggregator with given config
 */
export declare function getResultAggregator(config?: Partial<AggregationConfig>): ResultAggregator;
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