import { type Entity } from '@cortex/core';
/**
 * Canonical text representation of an entity for embedding. Used by both the ingest
 * pipeline (when storing vectors) and the backfill, so stored vectors and query
 * vectors live in the same embedding space.
 */
export declare function entityEmbeddingText(e: Pick<Entity, 'type' | 'name' | 'summary' | 'content'>): string;
export interface VectorSearchResult {
    entityId: string;
    distance: number;
    text: string;
}
export interface VectorStoreOptions {
    dbPath?: string;
    dimensions?: number;
}
export declare class VectorStore {
    private db;
    private table;
    private dbPath;
    private dimensions;
    constructor(options?: VectorStoreOptions);
    initialize(): Promise<void>;
    private ensureTable;
    addVectors(records: Array<{
        entityId: string;
        vector: Float32Array;
        text: string;
    }>): Promise<void>;
    search(queryVector: Float32Array, limit?: number): Promise<VectorSearchResult[]>;
    deleteByEntityId(entityId: string): Promise<void>;
    count(): Promise<number>;
}
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