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Extract code patterns into a knowledge base for AI coding assistants
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TypeScript
/**
* VectorStore — 向量存储抽象层
* 定义向量存储的标准接口，支持 JSON/Milvus 等后端
*/
export declare class VectorStore {
/** 初始化存储 */
init(): Promise<void>;
/**
* 插入或更新文档
* @param item
*/
upsert(item: {
id: string;
content: string;
vector: number[];
metadata: Record<string, unknown>;
}): Promise<void>;
/** 批量 upsert */
batchUpsert(items: Array<{
id: string;
content: string;
vector: number[];
metadata: Record<string, unknown>;
}>): Promise<void>;
/** 删除文档 */
remove(id: string): Promise<void>;
/** 按 ID 获取 */
getById(id: string): Promise<Record<string, unknown> | null>;
/**
* 向量相似度搜索
* @param options { topK, filter, minScore }
* @returns >>}
*/
searchVector(queryVector: number[], options?: Record<string, unknown>): Promise<Array<{
item: Record<string, unknown>;
score: number;
}>>;
/**
* 按过滤条件搜索
* @param filter { type, category, language, tags, ... }
*/
searchByFilter(filter: Record<string, unknown>): Promise<Record<string, unknown>[]>;
/** 列出所有 ID */
listIds(): Promise<string[]>;
/** 清空存储 */
clear(): Promise<void>;
/**
* 获取统计信息
* @returns >}
*/
getStats(): Promise<{
count: number;
indexSize: number;
}>;
/**
* 销毁: 释放资源, 清理定时器等
* 子类可选实现; 默认无操作
*/
destroy(): void;
}