import type { TypedQueryClient } from "../../generated/storage-kit/index.js";
import { type Embedder, type EmbedResult } from "../../lib/embeddings.js";
import type { SearchHit, SearchOptions } from "../../lib/search.js";
export type { Embedder, EmbedResult };
/** The embedder used when none is injected (reads OPENAI_API_KEY at call time). */
export declare function defaultCloudEmbedder(model: string): Embedder;
/**
 * Generate embeddings for messages that have none yet, one row per chunk in the
 * cloud `embeddings` table. Idempotent — already-embedded messages are skipped.
 */
export declare function cloudEmbedSessions(opts?: {
    limit?: number;
    embedder?: Embedder;
    model?: string;
    maxChars?: number;
}, client?: TypedQueryClient): Promise<EmbedResult>;
/** Number of stored embedding rows (for recall metadata). */
export declare function cloudEmbeddingCount(client?: TypedQueryClient): Promise<number>;
/** True when any embedding exists (optionally within the session filters). */
export declare function cloudHasStoredEmbeddings(opts?: SearchOptions, client?: TypedQueryClient): Promise<boolean>;
/** Rank stored cloud embeddings against a query vector (brute-force cosine). */
export declare function cloudVectorSearchByEmbedding(queryVec: number[], opts?: SearchOptions, client?: TypedQueryClient): Promise<SearchHit[]>;
/** Semantic search over the shared cloud: embed the query, then cosine-rank. */
export declare function cloudSemanticSearch(query: string, opts?: SearchOptions & {
    embedder?: Embedder;
}, client?: TypedQueryClient): Promise<SearchHit[]>;
/** Hybrid search over the shared cloud: RRF of full-text (ILIKE) + semantic. */
export declare function cloudHybridSearch(query: string, opts?: SearchOptions & {
    embedder?: Embedder;
}, client?: TypedQueryClient): Promise<SearchHit[]>;
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