/**
 * V1 Vector Store — SQLite-backed embedding storage and similarity search.
 *
 * Uses better-sqlite3 with embeddings stored as float32 BLOBs. Similarity
 * search is brute-force cosine similarity computed in JS — sufficient for
 * <100K embeddings (single-node agent memory). The interface is designed
 * for a drop-in upgrade to sqlite-vec or pgvector when needed.
 *
 * Spec: 21_TRI_MODAL_MEMORY.md §6
 */
export interface EmbeddingRecord {
    id?: string;
    embedding: number[];
    sourceUri: string;
    entityUri: string;
    contextGraphId: string;
    memoryLayer: 'wm' | 'swm' | 'vm';
    model: string;
    snippet?: string;
    label?: string;
    createdAt?: string;
}
export interface VectorSearchOpts {
    contextGraphId: string;
    memoryLayers: Array<'wm' | 'swm' | 'vm'>;
    limit: number;
    minSimilarity?: number;
}
export interface VectorSearchResult {
    id: string;
    entityUri: string;
    sourceUri: string;
    similarity: number;
    label: string | null;
    snippet: string | null;
    memoryLayer: string;
}
export interface EmbeddingProvider {
    embed(text: string): Promise<number[]>;
    readonly model: string;
    readonly dimensions: number;
}
export declare class VectorStore {
    private readonly db;
    constructor(dataDir: string);
    private migrate;
    insert(record: EmbeddingRecord): Promise<string>;
    /**
     * Brute-force cosine similarity search. Loads all embeddings for the given
     * CG + layers, computes similarity in JS, returns top-K. Sufficient for
     * <100K embeddings; upgrade to sqlite-vec or pgvector for scale.
     */
    search(queryEmbedding: number[], opts: VectorSearchOpts): Promise<VectorSearchResult[]>;
    delete(opts: {
        sourceUri?: string;
        entityUri?: string;
    }): Promise<number>;
    count(contextGraphId?: string): Promise<number>;
    close(): void;
}
/**
 * OpenAI-compatible embedding provider.
 */
export declare class OpenAIEmbeddingProvider implements EmbeddingProvider {
    readonly model: string;
    readonly dimensions: number;
    private readonly apiKey;
    private readonly baseURL;
    constructor(opts: {
        apiKey: string;
        model?: string;
        dimensions?: number;
        baseURL?: string;
    });
    embed(text: string): Promise<number[]>;
}
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