/**
 * @file Embedding Vector Index — 基于 Embedding 的向量索引实现
 * @description 调用 EmbeddingProvider 生成向量，实现 VectorIndex 接口
 */
import type { VectorIndex, VectorItem, VectorSearchResult } from '@cicctencent/agent-core';
export interface EmbeddingProviderLike {
    embed(texts: string[]): Promise<number[][]>;
}
/**
 * 基于 Embedding Provider 的向量索引
 * - build() 时为每个 item 的文本生成 embedding
 * - search() 时将查询文本转为 embedding，然后做余弦相似度搜索
 */
export declare class EmbeddingVectorIndex implements VectorIndex {
    private items;
    private embeddingProvider;
    private textExtractor;
    constructor(embeddingProvider: EmbeddingProviderLike, options?: {
        textExtractor?: (item: VectorItem) => string;
    });
    build(items: VectorItem[]): Promise<void>;
    search(query: number[], k: number): Promise<VectorSearchResult[]>;
    searchText(queryText: string, k: number): Promise<VectorSearchResult[]>;
    add(item: VectorItem): Promise<void>;
    remove(id: string): void;
    clear(): void;
    size(): number;
    getItems(): VectorItem[];
}
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