/**
 * Memory Bridge — the read/search path: bridgeSearchEntries (semantic +
 * FTS5/BM25 keyword merge, stale and superseded-knowledge filtering,
 * cross-encoder reranking). Split out of memory-bridge.ts, which re-exports
 * it.
 */
export declare function bridgeSearchEntries(options: {
    query: string;
    namespace?: string;
    limit?: number;
    threshold?: number;
    dbPath?: string;
    /** Skip cross-encoder reranking even if the model is loaded. */
    skipRerank?: boolean;
    /** When true, superseded knowledge chunks are kept in the results
     *  (flagged by the caller). Default false — removed documents are
     *  filtered out for security. */
    includeSuperseded?: boolean;
    /** Project root to read document metadata from for the knowledge-superseded
     *  check (default: getProjectRoot(), i.e. process.cwd()-derived). Callers
     *  operating on an explicit project directory that differs from cwd — e.g.
     *  searchKnowledge({ rootDir }) — must pass the SAME root here, or every
     *  freshly-ingested doc in that directory reads as superseded (its content
     *  hash won't be found in metadata read from the wrong place) and gets
     *  filtered out despite matching the query. */
    rootDir?: string;
}): Promise<{
    success: boolean;
    results: {
        id: string;
        key: string;
        content: string;
        score: number;
        namespace: string;
        provenance?: string;
        tags?: string[];
    }[];
    searchTime: number;
    /** What actually ran, never what was requested. 'keyword-fallback' means the
     *  vector path was attempted and did not produce the results. */
    searchMethod?: 'semantic' | 'keyword' | 'keyword-fallback';
    /** Whether a cross-encoder reranker was applied to the final results. */
    reranked?: boolean;
    /** Why the vector path did not serve these results (absent when it did). */
    fallbackReason?: 'no-embedding-model' | 'empty-query' | 'embedding-failed' | 'no-semantic-matches';
    error?: string;
} | null>;
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