import type { SupabaseClient } from "@supabase/supabase-js";
import type { PostgrestFilterBuilder } from "@supabase/postgrest-js";
import { VectorStore } from "./base.js";
import { Embeddings } from "../embeddings/base.js";
import { Document } from "../document.js";
type SupabaseMetadata = Record<string, any>;
export type SupabaseFilter = PostgrestFilterBuilder<any, any, any>;
export type SupabaseFilterRPCCall = (rpcCall: SupabaseFilter) => SupabaseFilter;
export interface SupabaseLibArgs {
    client: SupabaseClient;
    tableName?: string;
    queryName?: string;
    filter?: SupabaseMetadata | SupabaseFilterRPCCall;
}
export declare class SupabaseVectorStore extends VectorStore {
    FilterType: SupabaseMetadata | SupabaseFilterRPCCall;
    client: SupabaseClient;
    tableName: string;
    queryName: string;
    filter?: SupabaseMetadata | SupabaseFilterRPCCall;
    _vectorstoreType(): string;
    constructor(embeddings: Embeddings, args: SupabaseLibArgs);
    addDocuments(documents: Document[], options?: {
        ids?: string[];
    }): Promise<string[]>;
    addVectors(vectors: number[][], documents: Document[], options?: {
        ids?: string[];
    }): Promise<string[]>;
    delete(params: {
        ids: string[];
    }): Promise<void>;
    similaritySearchVectorWithScore(query: number[], k: number, filter?: this["FilterType"]): Promise<[Document, number][]>;
    static fromTexts(texts: string[], metadatas: object[] | object, embeddings: Embeddings, dbConfig: SupabaseLibArgs): Promise<SupabaseVectorStore>;
    static fromDocuments(docs: Document[], embeddings: Embeddings, dbConfig: SupabaseLibArgs): Promise<SupabaseVectorStore>;
    static fromExistingIndex(embeddings: Embeddings, dbConfig: SupabaseLibArgs): Promise<SupabaseVectorStore>;
}
export {};