import type { VectorFilter } from '@mastra/core/vector/filter';
/**
 * Configuration options for DuckDBVector.
 */
export interface DuckDBVectorConfig {
    /**
     * Unique identifier for this vector store instance.
     */
    id: string;
    /**
     * Path to the DuckDB database file.
     * Use ':memory:' for an in-memory database.
     * @default ':memory:'
     */
    path?: string;
    /**
     * Default dimension for vector embeddings.
     * @default 1536
     */
    dimensions?: number;
    /**
     * Default distance metric for similarity search.
     * @default 'cosine'
     */
    metric?: 'cosine' | 'euclidean' | 'dotproduct';
    /**
     * Memory limit for DuckDB operations.
     * @example '512MB', '2GB'
     */
    memoryLimit?: string;
    /**
     * Number of threads for DuckDB operations.
     * @default Number of CPU cores
     */
    threads?: number;
    /**
     * Maximum number of connections in the pool.
     * @default 5
     */
    maxPoolSize?: number;
}
/**
 * HNSW index configuration options.
 */
export interface HNSWConfig {
    /**
     * Maximum number of connections per layer.
     * Higher values improve recall but increase memory usage.
     * @default 16
     */
    M?: number;
    /**
     * Size of the dynamic candidate list during construction.
     * Higher values improve quality but slow down indexing.
     * @default 200
     */
    efConstruction?: number;
    /**
     * Size of the dynamic candidate list during search.
     * Higher values improve recall but slow down queries.
     * @default 40
     */
    efSearch?: number;
}
/**
 * Filter type for DuckDB vector queries.
 * Supports MongoDB-style query operators.
 */
export type DuckDBVectorFilter = VectorFilter;
/**
 * Query options specific to DuckDB vector store.
 */
export interface DuckDBQueryOptions {
    /**
     * Maximum number of results to return.
     * @default 10
     */
    topK?: number;
    /**
     * Minimum similarity score threshold (0-1 for cosine).
     */
    minScore?: number;
    /**
     * Whether to include the vector in results.
     * @default false
     */
    includeVector?: boolean;
    /**
     * Text search query for hybrid search.
     */
    textQuery?: string;
    /**
     * Weight for vector similarity in hybrid search (0-1).
     * @default 0.7
     */
    vectorWeight?: number;
}
/**
 * Options for importing data from Parquet files.
 */
export interface ParquetImportOptions {
    /**
     * Column name containing the vector embeddings.
     * @default 'embedding'
     */
    vectorColumn?: string;
    /**
     * Column name containing the vector IDs.
     * @default 'id'
     */
    idColumn?: string;
    /**
     * Column names to include as metadata.
     * If not specified, all non-vector columns are included.
     */
    metadataColumns?: string[];
}
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