import type { Entity, Relationship } from '@cortex/core';
import type { SQLiteStore } from './sqlite-store.js';
import type { VectorStore } from './vector-store.js';
export interface QueryContext {
    entities: Entity[];
    relationships: Relationship[];
    totalTokensEstimate: number;
}
export interface QueryEngineOptions {
    maxContextTokens?: number;
    maxResultEntities?: number;
    ftsWeight?: number;
    vectorWeight?: number;
}
export declare class QueryEngine {
    private sqliteStore;
    private vectorStore;
    private maxContextTokens;
    private maxResultEntities;
    private ftsWeight;
    private vectorWeight;
    constructor(sqliteStore: SQLiteStore, vectorStore: VectorStore, options?: QueryEngineOptions);
    assembleContext(query: string, queryEmbedding?: Float32Array, projectId?: string): Promise<QueryContext>;
    private filterByPrivacy;
    /**
     * Converts a natural language query to an FTS5-safe keyword query.
     * FTS5 uses AND semantics by default, so "what is the architecture" would
     * require ALL words to match. We strip stop words and use OR semantics so
     * entities matching ANY meaningful keyword are returned.
     */
    private buildFtsQuery;
    private ftsSearch;
    private mergeAndRank;
}
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