/**
 * RAG Query Engine (v2.0.0)
 *
 * Performs multi-vector retrieval across raw Codebase Chunks, PR History,
 * and extracted Architectural Decisions to answer engineering questions.
 */
import type { StorageBackend } from '../storage/interface.js';
import type { EmbeddingPipeline } from '../embeddingPipeline.js';
import type { CodeChunk } from './astChunker.js';
import type { ArchitecturalDecision } from '../edm/comments.js';
import type { PRRecord } from '../storage/interface.js';
export interface RAGQueryContext {
    codeChunks: Array<CodeChunk & {
        score: number;
    }>;
    decisions: ArchitecturalDecision[];
    prs: PRRecord[];
}
export interface RAGResponse {
    answer?: string;
    context: RAGQueryContext;
}
export interface QueryOptions {
    limitCode?: number;
    limitDecisions?: number;
    limitPRs?: number;
}
/**
 * Interface for connecting an LLM to synthesize the final answer.
 */
export interface LLMProvider {
    generate(prompt: string): Promise<string>;
}
export declare class RAGQueryEngine {
    private storage;
    private pipeline;
    private llmProvider?;
    constructor(storage: StorageBackend, pipeline: EmbeddingPipeline, llmProvider?: LLMProvider | undefined);
    /**
     * Query the engineering intelligence system.
     */
    query(question: string, opts?: QueryOptions): Promise<RAGResponse>;
    private buildPrompt;
}
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