import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
type Metadata = Record<string, string | number | Record<"in", string[]>>;
/**
 * Interface that defines the arguments required to create a
 * `NeonPostgres` instance. It includes Postgres connection options,
 * table name, filter, and verbosity level.
 */
export interface NeonPostgresArgs {
    connectionString: string;
    tableName?: string;
    columns?: {
        idColumnName?: string;
        vectorColumnName?: string;
        contentColumnName?: string;
        metadataColumnName?: string;
    };
    filter?: Metadata;
    verbose?: boolean;
}
/**
 * Class that provides an interface to a Neon Postgres database. It
 * extends the `VectorStore` base class and implements methods for adding
 * documents and vectors, performing similarity searches, and ensuring the
 * existence of a table in the database.
 */
export declare class NeonPostgres extends VectorStore {
    FilterType: Metadata;
    tableName: string;
    idColumnName: string;
    vectorColumnName: string;
    contentColumnName: string;
    metadataColumnName: string;
    filter?: Metadata;
    _verbose?: boolean;
    neonConnectionString: string;
    _vectorstoreType(): string;
    constructor(embeddings: EmbeddingsInterface, config: NeonPostgresArgs);
    /**
     * Static method to create a new `NeonPostgres` instance from a
     * connection. It creates a table if one does not exist.
     *
     * @param embeddings - Embeddings instance.
     * @param fields - `NeonPostgresArgs` instance.
     * @returns A new instance of `NeonPostgres`.
     */
    static initialize(embeddings: EmbeddingsInterface, config: NeonPostgresArgs): Promise<NeonPostgres>;
    /**
     * Constructs the SQL query for inserting rows into the specified table.
     *
     * @param rows - The rows of data to be inserted, consisting of values and records.
     * @param chunkIndex - The starting index for generating query placeholders based on chunk positioning.
     * @returns The complete SQL INSERT INTO query string.
     */
    protected runInsertQuery(rows: (string | Record<string, any>)[][], useIdColumn: boolean): Promise<Record<string, any>[]>;
    /**
     * Method to add vectors to the vector store. It converts the vectors into
     * rows and inserts them into the database.
     *
     * @param vectors - Array of vectors.
     * @param documents - Array of `Document` instances.
     * @param options - Optional arguments for adding documents
     * @returns Promise that resolves when the vectors have been added.
     */
    addVectors(vectors: number[][], documents: Document[], options?: {
        ids?: string[];
    }): Promise<string[]>;
    /**
     * Method to perform a similarity search in the vector store. It returns
     * the `k` most similar documents to the query vector, along with their
     * similarity scores.
     *
     * @param query - Query vector.
     * @param k - Number of most similar documents to return.
     * @param filter - Optional filter to apply to the search.
     * @returns Promise that resolves with an array of tuples, each containing a `Document` and its similarity score.
     */
    similaritySearchVectorWithScore(query: number[], k: number, filter?: this["FilterType"]): Promise<[Document, number][]>;
    /**
     * Method to add documents to the vector store. It converts the documents into
     * vectors, and adds them to the store.
     *
     * @param documents - Array of `Document` instances.
     * @param options - Optional arguments for adding documents
     * @returns Promise that resolves when the documents have been added.
     */
    addDocuments(documents: Document[], options?: {
        ids?: string[];
    }): Promise<string[]>;
    /**
     * Method to delete documents from the vector store. It deletes the
     * documents that match the provided ids.
     *
     * @param ids - Array of document ids.
     * @param deleteAll - Boolean to delete all documents.
     * @returns Promise that resolves when the documents have been deleted.
     */
    delete(params: {
        ids?: string[];
        deleteAll?: boolean;
    }): Promise<void>;
    /**
     * Method to ensure the existence of the table to store vectors in
     * the database. It creates the table if it does not already exist.
     *
     * @returns Promise that resolves when the table has been ensured.
     */
    ensureTableInDatabase(): Promise<void>;
    /**
     * Static method to create a new `NeonPostgres` instance from an
     * array of texts and their metadata. It converts the texts into
     * `Document` instances and adds them to the store.
     *
     * @param texts - Array of texts.
     * @param metadatas - Array of metadata objects or a single metadata object.
     * @param embeddings - Embeddings instance.
     * @param dbConfig - `NeonPostgresArgs` instance.
     * @returns Promise that resolves with a new instance of `NeonPostgresArgs`.
     */
    static fromTexts(texts: string[], metadatas: object[] | object, embeddings: EmbeddingsInterface, dbConfig: NeonPostgresArgs): Promise<NeonPostgres>;
    /**
     * Static method to create a new `NeonPostgres` instance from an
     * array of `Document` instances. It adds the documents to the store.
     *
     * @param docs - Array of `Document` instances.
     * @param embeddings - Embeddings instance.
     * @param dbConfig - `NeonPostgreseArgs` instance.
     * @returns Promise that resolves with a new instance of `NeonPostgres`.
     */
    static fromDocuments(docs: Document[], embeddings: EmbeddingsInterface, dbConfig: NeonPostgresArgs): Promise<NeonPostgres>;
}
export {};