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vector-chunk

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🚀 Next-Gen Content Intelligence - The most powerful, lightweight, and intelligent vector search package for modern applications. Zero dependencies, AI-powered search, real-time processing, content analysis, tone detection, style matching, DNA fingerprint

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import type { PerformanceMetrics, OptimizationConfig, AdaptiveConfig, ChunkingConfig, VectorStoreConfig } from '../types'; export declare class AdaptiveOptimizer { private performanceHistory; private config; private adaptiveConfig; private optimizationCount; private lastOptimization; constructor(optimizationConfig?: Partial<OptimizationConfig>, adaptiveConfig?: Partial<AdaptiveConfig>); recordMetrics(metrics: Omit<PerformanceMetrics, 'timestamp'>): void; optimizeChunkSize(currentConfig: ChunkingConfig): ChunkingConfig; optimizeSearchConfig(currentConfig: VectorStoreConfig): VectorStoreConfig; getOptimizationRecommendations(): { chunkSize: { current: number; recommended: number; confidence: number; }; overlap: { current: number; recommended: number; confidence: number; }; threshold: { current: number; recommended: number; confidence: number; }; maxResults: { current: number; recommended: number; confidence: number; }; overallImprovement: number; }; getPerformanceAnalytics(): { averageSearchTime: number; averageAccuracy: number; performanceTrend: 'improving' | 'declining' | 'stable'; optimizationHistory: Array<{ timestamp: Date; improvement: number; changes: Record<string, { from: number; to: number; }>; }>; }; resetOptimization(): void; updateConfig(newConfig: Partial<OptimizationConfig>): void; updateAdaptiveConfig(newConfig: Partial<AdaptiveConfig>): void; private shouldAutoOptimize; private autoOptimize; private calculateOptimalChunkSize; private calculateOptimalOverlap; private calculateOptimalThreshold; private calculateOptimalMaxResults; private calculateConfidence; private calculateOverallImprovement; private calculatePerformanceTrend; private getOptimizationHistory; getOptimizationStats(): { totalOptimizations: number; lastOptimization: Date; performanceImprovement: number; confidenceLevel: number; recommendations: string[]; }; }