/**
 * Embedding storage and cosine-similarity search for semantic notes.
 */
import type { Database } from "./schema.js";
import { type SemanticNote } from "./semantic-notes.js";
/** Store a pre-computed embedding vector for a semantic note. */
export declare function saveNoteEmbedding(db: Database, noteId: string, embedding: Float32Array): void;
/**
 * Search semantic notes using embedding cosine similarity.
 * Returns notes sorted by similarity score, filtered by minimum threshold.
 */
export declare function searchByEmbedding(db: Database, queryEmbedding: Float32Array, options?: {
    maxResults?: number;
    minSimilarity?: number;
    skipAccessTracking?: boolean;
    threadId?: number;
    startTime?: string;
    endTime?: string;
    /**
     * Note IDs that receive `boostAmount` added to their raw cosine score
     * BEFORE the threshold cut and ranking — so a boosted note can both clear
     * the threshold on a near-miss and outrank an equally-similar plain note.
     */
    boostNoteIds?: Set<string>;
    boostAmount?: number;
}): (SemanticNote & {
    similarity: number;
})[];
/** Get note IDs that don't have embeddings yet (for backfill). */
export declare function getNotesWithoutEmbeddings(db: Database): {
    noteId: string;
    content: string;
}[];
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