chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025

.recovery-workspace/dist-backup-20250910-141917/hnsw/scaledHNSWSystem.d.ts

@@ -0,0 +1,142 @@
+/**
+ * Scaled HNSW System - Integration of All Optimization Strategies
+ * Production-ready system for handling millions of vectors with sub-second search
+ */
+import { Vector, VectorDocument } from '../coreTypes.js';
+import { PartitionConfig } from './partitionedHNSWIndex.js';
+import { OptimizedHNSWConfig } from './optimizedHNSWIndex.js';
+import { SearchStrategy } from './distributedSearch.js';
+export interface ScaledHNSWConfig {
+    expectedDatasetSize?: number;
+    maxMemoryUsage?: number;
+    targetSearchLatency?: number;
+    s3Config?: {
+        bucketName: string;
+        region: string;
+        endpoint?: string;
+        accessKeyId?: string;
+        secretAccessKey?: string;
+    };
+    autoConfigureEnvironment?: boolean;
+    learningEnabled?: boolean;
+    enablePartitioning?: boolean;
+    enableCompression?: boolean;
+    enableDistributedSearch?: boolean;
+    enablePredictiveCaching?: boolean;
+    partitionConfig?: Partial<PartitionConfig>;
+    hnswConfig?: Partial<OptimizedHNSWConfig>;
+    readOnlyMode?: boolean;
+}
+/**
+ * High-performance HNSW system with all optimizations integrated
+ * Handles datasets from thousands to millions of vectors
+ */
+export declare class ScaledHNSWSystem {
+    private config;
+    private autoConfig;
+    private partitionedIndex?;
+    private distributedSearch?;
+    private cacheManager?;
+    private batchOperations?;
+    private readOnlyOptimizations?;
+    private performanceMetrics;
+    constructor(config?: ScaledHNSWConfig);
+    /**
+     * Initialize the optimized system based on configuration
+     */
+    private initializeOptimizedSystem;
+    /**
+     * Calculate optimal configuration based on dataset size and constraints
+     */
+    private calculateOptimalConfiguration;
+    /**
+     * Add vector to the scaled system
+     */
+    addVector(item: VectorDocument): Promise<string>;
+    /**
+     * Bulk insert vectors with optimizations
+     */
+    bulkInsert(items: VectorDocument[]): Promise<string[]>;
+    /**
+     * High-performance vector search with all optimizations
+     */
+    search(queryVector: Vector, k?: number, options?: {
+        strategy?: SearchStrategy;
+        useCache?: boolean;
+        maxPartitions?: number;
+    }): Promise<Array<[string, number]>>;
+    /**
+     * Get system performance metrics
+     */
+    getPerformanceMetrics(): typeof this.performanceMetrics & {
+        partitionStats?: any;
+        cacheStats?: any;
+        compressionStats?: any;
+        distributedSearchStats?: any;
+    };
+    /**
+     * Optimize insertion order for better index quality
+     */
+    private optimizeInsertionOrder;
+    /**
+     * Calculate optimal batch size based on system resources
+     */
+    private calculateOptimalBatchSize;
+    /**
+     * Update search performance metrics
+     */
+    private updateSearchMetrics;
+    /**
+     * Estimate current memory usage
+     */
+    private estimateMemoryUsage;
+    /**
+     * Generate performance report
+     */
+    generatePerformanceReport(): string;
+    /**
+     * Get overall system status
+     */
+    private getSystemStatus;
+    /**
+     * Check if adaptive learning should be triggered
+     */
+    private shouldTriggerLearning;
+    /**
+     * Adaptively learn from performance and adjust configuration
+     */
+    private adaptivelyLearnFromPerformance;
+    /**
+     * Update dataset analysis for better auto-configuration
+     */
+    updateDatasetAnalysis(vectorCount: number, vectorDimension?: number): Promise<void>;
+    /**
+     * Infer access patterns from current metrics
+     */
+    private inferAccessPatterns;
+    /**
+     * Cleanup system resources
+     */
+    cleanup(): void;
+}
+/**
+ * Create a fully auto-configured Brainy system - minimal setup required!
+ * Just provide S3 config if you want persistence beyond the current session
+ */
+export declare function createAutoBrainy(s3Config?: {
+    bucketName: string;
+    region?: string;
+    accessKeyId?: string;
+    secretAccessKey?: string;
+}): ScaledHNSWSystem;
+/**
+ * Create a Brainy system optimized for specific scenarios
+ */
+export declare function createQuickBrainy(scenario: 'small' | 'medium' | 'large' | 'enterprise', s3Config?: {
+    bucketName: string;
+    region?: string;
+}): Promise<ScaledHNSWSystem>;
+/**
+ * Legacy factory function - still works but consider using createAutoBrainy() instead
+ */
+export declare function createScaledHNSWSystem(config?: ScaledHNSWConfig): ScaledHNSWSystem;