/**
 * @module @nhtio/adk/batteries/vector/lancedb
 *
 * Embedded LanceDB adapter (no server — file-based, like sqlite_vec/duckdb). Each collection
 * is a Lance table with an explicit Arrow schema (`id` Utf8, `vec` FixedSizeList<Float32>,
 * `document` Utf8, `metadata` Utf8-JSON). KNN uses `table.search(vector).distanceType(...)`;
 * metadata is filtered with the neutral filter tree's JS reference evaluator for exact
 * cross-adapter parity. Upsert is a merge-insert on `id`.
 *
 * Drivers: `@lancedb/lancedb` + `apache-arrow` (prebuilt binary; no native compile).
 */
import { BaseVectorStore } from "../contract";
import type { SearchPlan, UpsertPlan, DeletePlan, CollectionSpec } from "../plan";
import type { VectorMatch, VectorStoreCapabilities, BaseVectorStoreOptions } from "../types";
export interface LanceDBVectorStoreOptions extends BaseVectorStoreOptions {
    /** Connection and authentication parameters for the backend. */
    connection: {
        uri: string;
    };
}
export declare class LanceDBVectorStore extends BaseVectorStore {
    #private;
    readonly capabilities: VectorStoreCapabilities;
    /** Static availability probe: whether this adapter's runtime driver can load in the current environment. */
    static isAvailable(): boolean;
    isAvailable(): boolean;
    connect(): Promise<void>;
    close(): Promise<void>;
    createCollection(spec: CollectionSpec, ifNotExists: boolean): Promise<void>;
    dropCollection(collection: string, ifExists: boolean): Promise<void>;
    hasCollection(collection: string): Promise<boolean>;
    renameCollection(_from: string, _to: string): Promise<void>;
    executeUpsert(plan: UpsertPlan): Promise<void>;
    executeSearch(plan: SearchPlan): Promise<VectorMatch[]>;
    executeDelete(plan: DeletePlan): Promise<void>;
}