@promptbook/utils/esm/typings/src/book-2.0/commitments/KNOWLEDGE/FrontendRAGService.d.ts

Promptbook: Run AI apps in plain human language across multiple models and platforms

import type { string_url } from '../../../types/typeAliases';
import type { RAGConfig } from './types';
import type { RetrievalResult } from './types';
/**
 * Frontend RAG Service that uses backend APIs for processing
 * This avoids Node.js dependencies in the frontend
 *
 * @private - TODO: [🧠] Maybe should be public?
 */
export declare class FrontendRAGService {
    private chunks;
    private sources;
    private config;
    private isInitialized;
    constructor(config?: Partial<RAGConfig>);
    /**
     * Initialize knowledge sources by processing them on the backend
     */
    initializeKnowledgeSources(sources: string_url[]): Promise<void>;
    /**
     * Get relevant context for a user query
     */
    getContextForQuery(query: string): Promise<string>;
    /**
     * Get relevant chunks for a query (for debugging/inspection)
     */
    getRelevantChunks(query: string): Promise<RetrievalResult[]>;
    /**
     * Get knowledge base statistics
     */
    getStats(): {
        sources: number;
        chunks: number;
        isInitialized: boolean;
    };
    /**
     * Check if the service is ready to use
     */
    isReady(): boolean;
    /**
     * Clear all knowledge sources
     */
    clearKnowledgeBase(): void;
    /**
     * Add a single knowledge source (for incremental updates)
     */
    addKnowledgeSource(url: string_url): Promise<void>;
}