/**
 * Semantic (vector similarity) search via pgvector.
 *
 * Query embedding is not yet implemented in TypeScript — the Python pipeline
 * uses sentence-transformers / CLIP which require torch.  For now this is a
 * stub that directs the user to use FTS or run db-embed first.
 */
export type SearchType = "text" | "image";
/**
 * Placeholder for cosine-similarity search against pre-computed embeddings.
 * Actual implementation will arrive once the embed module supports query
 * embedding via an external service or ONNX runtime.
 */
export declare function semanticSearch(_query: string, _limit?: number, _searchType?: SearchType): Promise<void>;
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