hnswsqlite/dist/vectorStore.d.ts

Vector search with HNSWlib and SQLite in TypeScript.

export declare class VectorStore {
    private db;
    private index;
    private dim;
    private idMap;
    private preparedStatements;
    constructor(dbPath: string, dim?: number);
    private _initTables;
    private _initPreparedStatements;
    private _initIndex;
    private _loadEmbeddings;
    addDocument(text: string, embedding: number[]): number;
    /**
     * Search for similar documents using vector similarity
     * @param embedding - The query embedding vector
     * @param k - Number of nearest neighbors to return
     * @returns Array of matching documents with id and text
     */
    search(embedding: number[], k?: number): Array<{
        id: number;
        text: string;
    }>;
    /**
     * Delete a document by ID
     * @param id - The ID of the document to delete
     * @returns boolean indicating success
     */
    deleteDocument(id: number): boolean;
    /**
     * Batch delete multiple documents
     * @param ids - Array of document IDs to delete
     * @returns number of successfully deleted documents
     */
    deleteDocuments(ids: number[]): number;
    close(): void;
}