/**
 * PostgreSQL storage backend with pgvector (for production)
 *
 * Setup:
 * 1. Install PostgreSQL with pgvector extension
 * 2. npm install pg
 * 3. CREATE EXTENSION vector;
 */
import type { StorageBackend, PRRecord, CheckResult, AnalyticsData } from './interface.js';
export interface PostgresConfig {
    connectionString?: string;
    host?: string;
    port?: number;
    database?: string;
    user?: string;
    password?: string;
}
export declare class PostgresStorage implements StorageBackend {
    private pool;
    private config;
    constructor(config: PostgresConfig);
    init(): Promise<void>;
    save(record: PRRecord): Promise<void>;
    saveCheck(result: CheckResult): Promise<void>;
    getAnalytics(): Promise<AnalyticsData>;
    get(prId: number): Promise<PRRecord | null>;
    getAll(): Promise<PRRecord[]>;
    search(embedding: Float32Array, limit: number): Promise<Array<{
        prId: number;
        score: number;
    }>>;
    saveDecision(decision: import('../edm/comments.js').ArchitecturalDecision & {
        embedding?: Float32Array;
    }): Promise<void>;
    searchDecisions(embedding: Float32Array, limit: number): Promise<import('../edm/comments.js').ArchitecturalDecision[]>;
    saveChunk(chunk: import('../rag/astChunker.js').CodeChunk & {
        embedding: Float32Array;
    }): Promise<void>;
    searchChunks(embedding: Float32Array, limit: number): Promise<Array<import('../rag/astChunker.js').CodeChunk & {
        embedding: Float32Array;
        score: number;
    }>>;
    delete(prId: number): Promise<void>;
    close(): Promise<void>;
    private rowToRecord;
}
/**
 * Create Postgres storage from environment variables
 */
export declare function createPostgresStorage(): PostgresStorage;
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