import type { RdfVectorChunkInput, RdfVectorChunkRow, RdfVectorDistanceMetric, RdfSearchCardinalityEstimate, RdfVectorIndexOptions, RdfVectorIndexSyncLike, RdfVectorIndexStats, RdfVectorModelDistribution, RdfVectorSearchOrder, RdfVectorSearchOptions, RdfVectorSearchResult, RdfVectorSourceInput, RdfVectorScoreComponents, RdfVectorSummaryLifecycleEntry, RdfVectorSummaryLifecycleOptions, RdfVectorSummaryMetadata } from './types';
export declare const RDF_VECTOR_SCHEMA_VERSION = 2;
export interface RdfVectorScoredChunkRow extends RdfVectorChunkRow {
    dot_product: number;
    vector_score: number;
    vector_distance: number | null;
    vector_distance_squared: number | null;
}
export declare class RdfVectorIndex implements RdfVectorIndexSyncLike {
    private readonly options;
    private readonly sqliteRuntime;
    private db;
    constructor(options: RdfVectorIndexOptions);
    open(): void;
    close(): void;
    clear(): void;
    schemaVersion(): number;
    indexVector(source: RdfVectorSourceInput, chunks: RdfVectorChunkInput[]): void;
    deleteSource(source: string): number;
    moveSource(oldSource: string, next: RdfVectorSourceInput): number;
    search(options: RdfVectorSearchOptions): RdfVectorSearchResult[];
    summaryLifecycle(options?: RdfVectorSummaryLifecycleOptions): RdfVectorSummaryLifecycleEntry[];
    estimateSearchCardinality(options: RdfVectorSearchOptions): RdfSearchCardinalityEstimate;
    stats(): RdfVectorIndexStats;
    modelDistribution(): RdfVectorModelDistribution[];
    private initializeSchema;
    private validateSchema;
    private upsertSource;
    private estimateDatabaseBytes;
    private toSearchResult;
    private requireDb;
}
export declare function vectorScoreComponents(row: Pick<RdfVectorScoredChunkRow, 'dimensions' | 'dot_product' | 'magnitude' | 'vector_distance_squared'>, metric: RdfVectorDistanceMetric, queryMagnitude: number, score: number, distance: number, backend?: 'component' | 'pg-vector'): RdfVectorScoreComponents;
export declare function normalizeEmbedding(embedding: number[]): number[];
export declare function parseEmbedding(value: string): number[];
export declare function vectorMagnitude(embedding: number[]): number;
export declare function vectorScore(distance: number, metric: RdfVectorDistanceMetric): number;
export declare function scoredVectorDistance(row: RdfVectorScoredChunkRow, metric: RdfVectorDistanceMetric): number;
export declare function insertVectorComponents(insertComponent: {
    run(...params: unknown[]): unknown;
}, chunkId: number, embedding: number[]): void;
export declare function parsePath(value: string | null): string[];
export declare function parseSummaryMetadata(value: string | null): RdfVectorSummaryMetadata | undefined;
export declare function buildVectorOrderClause(metric: RdfVectorDistanceMetric, orderBy: RdfVectorSearchOrder[] | undefined): string;
export declare function vectorScoreSql(metric: RdfVectorDistanceMetric, queryMagnitude: number): string;
export declare function vectorDistanceSql(metric: RdfVectorDistanceMetric, queryMagnitude: number): string;
export declare function vectorSquaredDistanceSql(queryMagnitude: number): string;
export declare function vectorThresholdSql(metric: RdfVectorDistanceMetric, queryMagnitude: number, threshold: number): string;
export declare function applyResultWindow(rows: number, offset: number | undefined, limit: number | undefined): number;
export declare function sqlNumber(value: number): string;