/**
 * LlmRagPlugin
 *
 * Adds RAG (Retrieval-Augmented Generation) query support to PostGraphile v5.
 *
 * When enabled, this plugin:
 * 1. Discovers tables with @hasChunks smart tag during schema build
 * 2. Adds a `ragQuery` root query field that orchestrates:
 *    embed prompt → pgvector search chunks → assemble context → call chat LLM → return answer
 * 3. Adds an `embedText` root query field for standalone text-to-vector conversion
 *
 * Uses the extendSchema + grafast lambda pattern (same as bucket-provisioner
 * and presigned-url plugins) for async operations at execution time.
 *
 * RAG is a consumer of graphile-search's pgvector adapter — it uses the existing
 * chunk-aware tables but orchestrates the full LLM synthesis pipeline.
 *
 * Resolution order for embedder and chat completer:
 *   1. build.llmEmbedder / build.llmChatCompleter (from LlmModulePlugin)
 *   2. Falls back to error if not configured
 */
import type { GraphileConfig } from 'graphile-config';
import type { RagDefaults } from '../types';
declare global {
    namespace GraphileConfig {
        interface Plugins {
            LlmRagPlugin: true;
        }
    }
}
/**
 * Creates the LlmRagPlugin.
 *
 * @param ragDefaults - Default configuration for RAG queries
 */
export declare function createLlmRagPlugin(ragDefaults?: RagDefaults): GraphileConfig.Plugin;