/**
 * Agentic QE v3 - Memory Backend
 * Hybrid memory implementation (in-memory + optional persistence)
 */
import { MemoryBackend, StoreOptions, VectorSearchResult } from './interfaces';
export declare class InMemoryBackend implements MemoryBackend {
    private store;
    private vectors;
    private cleanupInterval?;
    initialize(): Promise<void>;
    dispose(): Promise<void>;
    set<T>(key: string, value: T, options?: StoreOptions): Promise<void>;
    get<T>(key: string, namespace?: string): Promise<T | undefined>;
    delete(key: string, namespace?: string): Promise<boolean>;
    has(key: string, namespace?: string): Promise<boolean>;
    search(pattern: string, limit?: number): Promise<string[]>;
    vectorSearch(embedding: number[], k: number): Promise<VectorSearchResult[]>;
    storeVector(key: string, embedding: number[], metadata?: unknown): Promise<void>;
    private buildKey;
    private cosineSimilarity;
    private cleanup;
    getStats(): {
        entries: number;
        vectors: number;
    };
    clear(namespace?: string): Promise<void>;
}
//# sourceMappingURL=memory-backend.d.ts.map