/**
 * ConflictDetector — Write-time conflict detection for ingest pipeline (FR-C01).
 *
 * Before a new entry is written to the DB, this module:
 * 1. Embeds the new entry content via BGE
 * 2. Retrieves top-K semantically similar existing entries (cosine > 0.75)
 * 3. Uses LLM to classify the relationship (equivalent/complementary/contradictory/unrelated)
 * 4. Decides whether to block the write based on the relationship
 *
 * Degraded mode (LLM unavailable): only blocks on cosine > 0.90 (assumed equivalent).
 */
export interface ConflictResult {
    relation: 'equivalent' | 'complementary' | 'contradictory' | 'unrelated';
    confidence: number;
    existingEntryId: string;
    explanation: string;
}
export interface ConflictDetectionResult {
    shouldBlock: boolean;
    blockReason?: string;
    conflicts: ConflictResult[];
    suggestedAction?: 'merge' | 'resolve_contradiction' | 'link' | 'proceed';
}
export interface ConflictDetectorOptions {
    /** Minimum cosine similarity to consider as candidate (default 0.75) */
    similarityThreshold?: number;
    /** Maximum number of similar entries to evaluate (default 5) */
    topK?: number;
    /** Cosine threshold for degraded-mode equivalent detection (default 0.90) */
    degradedEquivalentThreshold?: number;
}
/**
 * Detect conflicts between a new entry and existing entries in the knowledge base.
 *
 * @param newEntry - The entry about to be ingested (needs title, content)
 * @param newVector - BGE embedding vector of the new entry's content
 * @param dbPath - Path to the SQLite database
 * @param options - Detection options (thresholds, topK)
 */
export declare function detectConflicts(newEntry: {
    title: string;
    content: string;
}, newVector: number[], dbPath: string, options?: ConflictDetectorOptions): Promise<ConflictDetectionResult>;
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