import type { VectorSearchBackend, CachedLLMEntry, SemanticSearchResult, VectorEmbedding } from "./types";
export declare class InMemoryVectorCache implements VectorSearchBackend {
    private entries;
    private embeddings;
    get(key: string): Promise<unknown | null>;
    set(key: string, value: unknown, ttlSeconds?: number): Promise<void>;
    clear(): Promise<void>;
    storeLLMResponse(entry: CachedLLMEntry): Promise<void>;
    searchSimilar(query: string, query_embedding: VectorEmbedding, limit?: number, similarity_threshold?: number): Promise<SemanticSearchResult>;
    getResponses(query: string): Promise<CachedLLMEntry | null>;
    updateAccessStats(query: string): Promise<void>;
    private buildKey;
    private cosineSimilarity;
    private selectResponse;
}
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