/**
 * Vector entry representing a document with its embedding
 */
export interface VectorEntry {
    /** Unique identifier for the vector */
    id: string;
    /** Vector embedding (array of floats) */
    vector: number[];
    /** Optional metadata associated with the vector */
    metadata?: Record<string, any>;
}
/**
 * Search query parameters
 */
export interface SearchQuery {
    /** Query vector to search for */
    vector: number[];
    /** Number of results to return */
    k?: number;
    /** Optional metadata filters */
    filter?: Record<string, any>;
    /** Minimum similarity threshold (0-1) */
    threshold?: number;
}
/**
 * Search result containing matched vector and similarity score
 */
export interface SearchResult {
    /** ID of the matched vector */
    id: string;
    /** Similarity score (0-1, higher is better) */
    score: number;
    /** Vector data */
    vector: number[];
    /** Associated metadata */
    metadata?: Record<string, any>;
}
/**
 * Database configuration options
 */
export interface DbOptions {
    /** Vector dimension size */
    dimension: number;
    /** Distance metric to use */
    metric?: 'cosine' | 'euclidean' | 'dot';
    /** Path to persist database */
    path?: string;
    /** Enable auto-persistence */
    autoPersist?: boolean;
    /** HNSW index parameters */
    hnsw?: {
        /** Maximum number of connections per layer */
        m?: number;
        /** Size of the dynamic candidate list */
        efConstruction?: number;
        /** Size of the dynamic candidate list for search */
        efSearch?: number;
    };
}
/**
 * Database statistics
 */
export interface DbStats {
    /** Total number of vectors */
    count: number;
    /** Vector dimension */
    dimension: number;
    /** Distance metric */
    metric: string;
    /** Memory usage in bytes */
    memoryUsage?: number;
    /** Index type */
    indexType?: string;
}
/**
 * Main VectorDB class interface
 */
export interface VectorDB {
    /**
     * Create a new vector database
     * @param options Database configuration
     */
    new (options: DbOptions): VectorDB;
    /**
     * Insert a single vector
     * @param entry Vector entry to insert
     */
    insert(entry: VectorEntry): void;
    /**
     * Insert multiple vectors in batch
     * @param entries Array of vector entries
     */
    insertBatch(entries: VectorEntry[]): void;
    /**
     * Search for similar vectors
     * @param query Search query parameters
     * @returns Array of search results
     */
    search(query: SearchQuery): SearchResult[];
    /**
     * Get vector by ID
     * @param id Vector ID
     * @returns Vector entry or null
     */
    get(id: string): VectorEntry | null;
    /**
     * Delete vector by ID
     * @param id Vector ID
     * @returns true if deleted, false if not found
     */
    delete(id: string): boolean;
    /**
     * Update vector metadata
     * @param id Vector ID
     * @param metadata New metadata
     */
    updateMetadata(id: string, metadata: Record<string, any>): void;
    /**
     * Get database statistics
     */
    stats(): DbStats;
    /**
     * Save database to disk
     * @param path Optional path (uses configured path if not provided)
     */
    save(path?: string): void;
    /**
     * Load database from disk
     * @param path Path to database file
     */
    load(path: string): void;
    /**
     * Clear all vectors from database
     */
    clear(): void;
    /**
     * Build HNSW index for faster search
     */
    buildIndex(): void;
    /**
     * Optimize database (rebuild indices, compact storage)
     */
    optimize(): void;
}
//# sourceMappingURL=types.d.ts.map