export declare class VectorStore {
    private static readonly VECTOR_DIM;
    /**
     * Generates a normalized semantic embedding vector for a given text
     */
    static generateEmbedding(text: string, geminiApiKey?: string): Promise<number[]>;
    /**
     * Generates a 128-dimensional dense semantic feature vector
     */
    private static generateLocalSemanticVector;
    /**
     * Calculates cosine similarity between two vectors (-1.0 to 1.0)
     */
    static cosineSimilarity(a: number[], b: number[]): number;
    private static normalize;
    private static hashString;
}
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