{"version":3,"file":"prisma.d.cts","names":["Document","EmbeddingsInterface","DocumentInterface","VectorStore","IdColumnSymbol","ContentColumnSymbol","ColumnSymbol","Value","RawValue","Sql","ReadonlyArray","PrismaNamespace","Record","PrismaClient","T","P","TemplateStringsArray","Promise","ObjectIntersect","A","B","ModelColumns","TModel","PrismaSqlFilter","K","SimilarityModel","TColumns","Pick","DefaultPrismaVectorStore","PrismaVectorStore","ColumnTypeConfig","TPrisma","TFilters","TModelName","TSelectModel","TFilterModel"],"sources":["../../src/vectorstores/prisma.d.ts"],"sourcesContent":["import { Document } from \"@langchain/core/documents\";\nimport type { EmbeddingsInterface } from \"@langchain/core/embeddings\";\nimport type { DocumentInterface } from \"@langchain/core/documents\";\nimport { VectorStore } from \"@langchain/core/vectorstores\";\ndeclare const IdColumnSymbol: unique symbol;\ndeclare const ContentColumnSymbol: unique symbol;\ntype ColumnSymbol = typeof IdColumnSymbol | typeof ContentColumnSymbol;\ndeclare type Value = unknown;\ndeclare type RawValue = Value | Sql;\ndeclare class Sql {\n    strings: string[];\n    constructor(rawStrings: ReadonlyArray<string>, rawValues: ReadonlyArray<RawValue>);\n}\ntype PrismaNamespace = {\n    ModelName: Record<string, string>;\n    Sql: typeof Sql;\n    raw: (sql: string) => Sql;\n    join: (values: RawValue[], separator?: string, prefix?: string, suffix?: string) => Sql;\n    sql: (strings: ReadonlyArray<string>, ...values: RawValue[]) => Sql;\n};\ntype PrismaClient = {\n    $queryRaw<T = unknown>(query: TemplateStringsArray | Sql, ...values: any[]): Promise<T>;\n    $executeRaw(query: TemplateStringsArray | Sql, ...values: any[]): Promise<any>;\n    $transaction<P extends Promise<any>[]>(arg: [...P]): Promise<any>;\n};\ntype ObjectIntersect<A, B> = {\n    [P in keyof A & keyof B]: A[P] | B[P];\n};\ntype ModelColumns<TModel extends Record<string, unknown>> = {\n    [K in keyof TModel]?: true | ColumnSymbol;\n};\nexport type PrismaSqlFilter<TModel extends Record<string, unknown>> = {\n    [K in keyof TModel]?: {\n        equals?: TModel[K];\n        in?: TModel[K][];\n        notIn?: TModel[K][];\n        isNull?: TModel[K];\n        isNotNull?: TModel[K];\n        like?: TModel[K];\n        lt?: TModel[K];\n        lte?: TModel[K];\n        gt?: TModel[K];\n        gte?: TModel[K];\n        not?: TModel[K];\n    };\n};\ntype SimilarityModel<TModel extends Record<string, unknown> = Record<string, unknown>, TColumns extends ModelColumns<TModel> = ModelColumns<TModel>> = Pick<TModel, keyof ObjectIntersect<TModel, TColumns>> & {\n    _distance: number | null;\n};\ntype DefaultPrismaVectorStore = PrismaVectorStore<Record<string, unknown>, string, ModelColumns<Record<string, unknown>>, PrismaSqlFilter<Record<string, unknown>>>;\n/**\n * Configuration for column types to enable proper type casting in SQL queries.\n * This is particularly important for columns that require explicit casting,\n * such as UUID columns in PostgreSQL.\n */\nexport interface ColumnTypeConfig {\n    [key: string]: \"uuid\" | \"text\" | \"integer\" | \"bigint\" | \"jsonb\";\n}\n/**\n * A specific implementation of the VectorStore class that is designed to\n * work with Prisma. It provides methods for adding models, documents, and\n * vectors, as well as for performing similarity searches.\n */\nexport declare class PrismaVectorStore<TModel extends Record<string, unknown>, TModelName extends string, TSelectModel extends ModelColumns<TModel>, TFilterModel extends PrismaSqlFilter<TModel>> extends VectorStore {\n    FilterType: TFilterModel;\n    protected tableName: string;\n    protected vectorColumnName: string;\n    protected selectColumns: string[];\n    filter?: TFilterModel;\n    idColumn: keyof TModel & string;\n    contentColumn: keyof TModel & string;\n    protected columnTypes?: ColumnTypeConfig;\n    /**\n     * When true, addDocuments uses INSERT statements to create new records.\n     * When false (default), addDocuments uses UPDATE statements to update existing records by ID.\n     * Set to true when using with ParentDocumentRetriever or when documents don't pre-exist in the database.\n     */\n    protected useInsert: boolean;\n    static IdColumn: typeof IdColumnSymbol;\n    static ContentColumn: typeof ContentColumnSymbol;\n    protected db: PrismaClient;\n    protected Prisma: PrismaNamespace;\n    _vectorstoreType(): string;\n    constructor(embeddings: EmbeddingsInterface, config: {\n        db: PrismaClient;\n        prisma: PrismaNamespace;\n        tableName: TModelName;\n        vectorColumnName: string;\n        columns: TSelectModel;\n        filter?: TFilterModel;\n        columnTypes?: ColumnTypeConfig;\n        /**\n         * When true, addDocuments uses INSERT statements to create new records.\n         * When false (default), addDocuments uses UPDATE statements to update existing records by ID.\n         * Set to true when using with ParentDocumentRetriever or when documents don't pre-exist in the database.\n         */\n        useInsert?: boolean;\n    });\n    /**\n     * Creates a new PrismaVectorStore with the specified model.\n     * @param db The PrismaClient instance.\n     * @returns An object with create, fromTexts, and fromDocuments methods.\n     */\n    static withModel<TModel extends Record<string, unknown>>(db: PrismaClient): {\n        create: <TPrisma extends PrismaNamespace, TColumns extends ModelColumns<TModel>, TFilters extends PrismaSqlFilter<TModel>>(embeddings: EmbeddingsInterface<number[]>, config: {\n            prisma: TPrisma;\n            tableName: keyof TPrisma[\"ModelName\"] & string;\n            vectorColumnName: string;\n            columns: TColumns;\n            filter?: TFilters | undefined;\n            columnTypes?: ColumnTypeConfig | undefined;\n            useInsert?: boolean | undefined;\n        }) => PrismaVectorStore<TModel, keyof TPrisma[\"ModelName\"] & string, TColumns, TFilters>;\n        fromTexts: <TPrisma extends PrismaNamespace, TColumns extends ModelColumns<TModel>>(texts: string[], metadatas: TModel[], embeddings: EmbeddingsInterface<number[]>, dbConfig: {\n            prisma: TPrisma;\n            tableName: keyof TPrisma[\"ModelName\"] & string;\n            vectorColumnName: string;\n            columns: TColumns;\n            columnTypes?: ColumnTypeConfig | undefined;\n            useInsert?: boolean | undefined;\n        }) => Promise<DefaultPrismaVectorStore>;\n        fromDocuments: <TPrisma extends PrismaNamespace, TColumns extends ModelColumns<TModel>, TFilters extends PrismaSqlFilter<TModel>>(docs: Document<TModel>[], embeddings: EmbeddingsInterface<number[]>, dbConfig: {\n            prisma: TPrisma;\n            tableName: keyof TPrisma[\"ModelName\"] & string;\n            vectorColumnName: string;\n            columns: TColumns;\n            columnTypes?: ColumnTypeConfig | undefined;\n            useInsert?: boolean | undefined;\n        }) => Promise<PrismaVectorStore<TModel, keyof TPrisma[\"ModelName\"] & string, TColumns, TFilters>>;\n    };\n    /**\n     * Adds the specified models to the store.\n     * @param models The models to add.\n     * @returns A promise that resolves when the models have been added.\n     */\n    addModels(models: TModel[]): Promise<void>;\n    /**\n     * Adds the specified documents to the store.\n     * @param documents The documents to add.\n     * @returns A promise that resolves when the documents have been added.\n     */\n    addDocuments(documents: Document<TModel>[]): Promise<void>;\n    /**\n     * Adds the specified vectors to the store.\n     * @param vectors The vectors to add.\n     * @param documents The documents associated with the vectors.\n     * @returns A promise that resolves when the vectors have been added.\n     */\n    addVectors(vectors: number[][], documents: Document<TModel>[]): Promise<void>;\n    /**\n     * Adds documents with their corresponding vectors to the store using INSERT statements.\n     * This method ensures documents are created if they don't exist, making it compatible\n     * with ParentDocumentRetriever which creates new child documents.\n     * @param vectors The vectors to add.\n     * @param documents The documents associated with the vectors.\n     * @returns A promise that resolves when the documents have been added.\n     */\n    addDocumentsWithVectors(vectors: number[][], documents: Document<TModel>[]): Promise<void>;\n    /**\n     * Performs a similarity search with the specified query.\n     * @param query The query to use for the similarity search.\n     * @param k The number of results to return.\n     * @param _filter The filter to apply to the results.\n     * @param _callbacks The callbacks to use during the search.\n     * @returns A promise that resolves with the search results.\n     */\n    similaritySearch(query: string, k?: number, filter?: this[\"FilterType\"] | undefined): Promise<Document<SimilarityModel<TModel, TSelectModel>>[]>;\n    /**\n     * Performs a similarity search with the specified query and returns the\n     * results along with their scores.\n     * @param query The query to use for the similarity search.\n     * @param k The number of results to return.\n     * @param filter The filter to apply to the results.\n     * @param _callbacks The callbacks to use during the search.\n     * @returns A promise that resolves with the search results and their scores.\n     */\n    similaritySearchWithScore(query: string, k?: number, filter?: this[\"FilterType\"]): Promise<[DocumentInterface<Record<string, any>>, number][]>;\n    /**\n     * Performs a similarity search with the specified vector and returns the\n     * results along with their scores.\n     * @param query The vector to use for the similarity search.\n     * @param k The number of results to return.\n     * @param filter The filter to apply to the results.\n     * @returns A promise that resolves with the search results and their scores.\n     */\n    similaritySearchVectorWithScore(query: number[], k: number, filter?: this[\"FilterType\"]): Promise<[Document<SimilarityModel<TModel, TSelectModel>>, number][]>;\n    buildSqlFilterStr(filter?: this[\"FilterType\"]): Sql | null;\n    /**\n     * Creates a new PrismaVectorStore from the specified texts.\n     * @param texts The texts to use to create the store.\n     * @param metadatas The metadata for the texts.\n     * @param embeddings The embeddings to use.\n     * @param dbConfig The database configuration.\n     * @returns A promise that resolves with the new PrismaVectorStore.\n     */\n    static fromTexts(texts: string[], metadatas: object[], embeddings: EmbeddingsInterface, dbConfig: {\n        db: PrismaClient;\n        prisma: PrismaNamespace;\n        tableName: string;\n        vectorColumnName: string;\n        columns: ModelColumns<Record<string, unknown>>;\n        columnTypes?: ColumnTypeConfig;\n        useInsert?: boolean;\n    }): Promise<DefaultPrismaVectorStore>;\n    /**\n     * Creates a new PrismaVectorStore from the specified documents.\n     * @param docs The documents to use to create the store.\n     * @param embeddings The embeddings to use.\n     * @param dbConfig The database configuration.\n     * @returns A promise that resolves with the new PrismaVectorStore.\n     */\n    static fromDocuments(docs: Document[], embeddings: EmbeddingsInterface, dbConfig: {\n        db: PrismaClient;\n        prisma: PrismaNamespace;\n        tableName: string;\n        vectorColumnName: string;\n        columns: ModelColumns<Record<string, unknown>>;\n        columnTypes?: ColumnTypeConfig;\n        useInsert?: boolean;\n    }): Promise<DefaultPrismaVectorStore>;\n}\nexport {};\n//# 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