Initial commit: Brainy - Multi-Dimensional AI Database
Open source vector database with HNSW indexing, graph relationships, and metadata facets. Features CLI with professional augmentation registry integration for discovering extensions and capabilities.
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559
dist/hnsw/scaledHNSWSystem.js
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559
dist/hnsw/scaledHNSWSystem.js
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/**
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* Scaled HNSW System - Integration of All Optimization Strategies
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* Production-ready system for handling millions of vectors with sub-second search
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*/
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import { PartitionedHNSWIndex } from './partitionedHNSWIndex.js';
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import { DistributedSearchSystem, SearchStrategy } from './distributedSearch.js';
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import { EnhancedCacheManager } from '../storage/enhancedCacheManager.js';
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import { BatchS3Operations } from '../storage/adapters/batchS3Operations.js';
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import { ReadOnlyOptimizations } from '../storage/readOnlyOptimizations.js';
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import { euclideanDistance } from '../utils/index.js';
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import { AutoConfiguration } from '../utils/autoConfiguration.js';
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/**
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* High-performance HNSW system with all optimizations integrated
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* Handles datasets from thousands to millions of vectors
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*/
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export class ScaledHNSWSystem {
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constructor(config = {}) {
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// Performance monitoring and learning
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this.performanceMetrics = {
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totalSearches: 0,
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averageSearchTime: 0,
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cacheHitRate: 0,
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compressionRatio: 0,
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memoryUsage: 0,
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indexSize: 0,
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lastLearningUpdate: Date.now()
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};
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this.autoConfig = AutoConfiguration.getInstance();
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// Set basic defaults - these will be overridden by auto-configuration
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this.config = {
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expectedDatasetSize: 100000,
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maxMemoryUsage: 4 * 1024 * 1024 * 1024,
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targetSearchLatency: 150,
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autoConfigureEnvironment: true,
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learningEnabled: true,
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enablePartitioning: true,
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enableCompression: true,
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enableDistributedSearch: true,
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enablePredictiveCaching: true,
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readOnlyMode: false,
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...config
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};
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this.initializeOptimizedSystem();
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}
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/**
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* Initialize the optimized system based on configuration
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*/
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async initializeOptimizedSystem() {
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console.log('Initializing Scaled HNSW System with auto-configuration...');
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// Auto-configure if enabled
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if (this.config.autoConfigureEnvironment) {
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const autoConfigResult = await this.autoConfig.detectAndConfigure({
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expectedDataSize: this.config.expectedDatasetSize,
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s3Available: !!this.config.s3Config,
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memoryBudget: this.config.maxMemoryUsage
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});
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console.log(`Detected environment: ${autoConfigResult.environment}`);
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console.log(`Available memory: ${(autoConfigResult.availableMemory / 1024 / 1024 / 1024).toFixed(1)}GB`);
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console.log(`CPU cores: ${autoConfigResult.cpuCores}`);
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// Override config with auto-detected values
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this.config = {
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...this.config,
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expectedDatasetSize: autoConfigResult.recommendedConfig.expectedDatasetSize,
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maxMemoryUsage: autoConfigResult.recommendedConfig.maxMemoryUsage,
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targetSearchLatency: autoConfigResult.recommendedConfig.targetSearchLatency,
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enablePartitioning: autoConfigResult.recommendedConfig.enablePartitioning,
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enableCompression: autoConfigResult.recommendedConfig.enableCompression,
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enableDistributedSearch: autoConfigResult.recommendedConfig.enableDistributedSearch,
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enablePredictiveCaching: autoConfigResult.recommendedConfig.enablePredictiveCaching
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};
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}
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// Determine optimal configuration
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const optimizedConfig = this.calculateOptimalConfiguration();
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// Initialize partitioned index with semantic partitioning as default
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if (this.config.enablePartitioning) {
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this.partitionedIndex = new PartitionedHNSWIndex({
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...optimizedConfig.partitionConfig,
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partitionStrategy: 'semantic', // Always use semantic for better performance
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autoTuneSemanticClusters: true // Enable auto-tuning
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}, optimizedConfig.hnswConfig, euclideanDistance);
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console.log('✓ Partitioned index initialized with semantic clustering');
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}
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// Initialize distributed search system
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if (this.config.enableDistributedSearch && this.partitionedIndex) {
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this.distributedSearch = new DistributedSearchSystem({
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maxConcurrentSearches: optimizedConfig.maxConcurrentSearches,
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searchTimeout: this.config.targetSearchLatency * 5,
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adaptivePartitionSelection: true,
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loadBalancing: true
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});
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console.log('✓ Distributed search system initialized');
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}
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// Initialize batch S3 operations
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if (this.config.s3Config) {
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this.batchOperations = new BatchS3Operations(null, // Would be initialized with actual S3 client
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this.config.s3Config.bucketName, {
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maxConcurrency: 50,
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useS3Select: this.config.expectedDatasetSize > 100000
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});
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console.log('✓ Batch S3 operations initialized');
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}
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// Initialize enhanced caching
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if (this.config.enablePredictiveCaching) {
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this.cacheManager = new EnhancedCacheManager({
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hotCacheMaxSize: optimizedConfig.hotCacheSize,
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warmCacheMaxSize: optimizedConfig.warmCacheSize,
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prefetchEnabled: true,
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prefetchStrategy: 'hybrid', // Type casting for enum compatibility
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prefetchBatchSize: 50
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});
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if (this.batchOperations) {
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this.cacheManager.setStorageAdapters(null, this.batchOperations);
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}
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console.log('✓ Enhanced cache manager initialized');
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}
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// Initialize read-only optimizations
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if (this.config.readOnlyMode && this.config.enableCompression) {
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this.readOnlyOptimizations = new ReadOnlyOptimizations({
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compression: {
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vectorCompression: 'quantization',
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metadataCompression: 'gzip',
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quantizationType: 'scalar',
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quantizationBits: 8
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},
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segmentSize: optimizedConfig.segmentSize,
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memoryMapped: true,
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cacheIndexInMemory: optimizedConfig.cacheIndexInMemory
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});
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console.log('✓ Read-only optimizations initialized');
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}
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console.log('Scaled HNSW System ready for', this.config.expectedDatasetSize, 'vectors');
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}
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/**
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* Calculate optimal configuration based on dataset size and constraints
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*/
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calculateOptimalConfiguration() {
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const size = this.config.expectedDatasetSize;
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const memoryBudget = this.config.maxMemoryUsage;
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let config = {};
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if (size <= 10000) {
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// Small dataset - optimize for speed
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config = {
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partitionConfig: {
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maxNodesPerPartition: 10000,
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partitionStrategy: 'hash'
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},
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hnswConfig: {
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M: 16,
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efConstruction: 200,
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efSearch: 50,
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targetSearchLatency: this.config.targetSearchLatency
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},
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hotCacheSize: 1000,
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warmCacheSize: 5000,
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maxConcurrentSearches: 4,
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segmentSize: 5000,
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cacheIndexInMemory: true
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};
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}
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else if (size <= 100000) {
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// Medium dataset - balance performance and memory
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config = {
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partitionConfig: {
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maxNodesPerPartition: 25000,
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partitionStrategy: 'semantic',
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semanticClusters: 8
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},
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hnswConfig: {
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M: 24,
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efConstruction: 300,
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efSearch: 75,
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targetSearchLatency: this.config.targetSearchLatency,
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dynamicParameterTuning: true
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},
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hotCacheSize: 2000,
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warmCacheSize: 15000,
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maxConcurrentSearches: 8,
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segmentSize: 10000,
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cacheIndexInMemory: memoryBudget > 2 * 1024 * 1024 * 1024 // 2GB
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};
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}
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else if (size <= 1000000) {
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// Large dataset - optimize for scale
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config = {
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partitionConfig: {
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maxNodesPerPartition: 50000,
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partitionStrategy: 'semantic',
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semanticClusters: 16
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},
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hnswConfig: {
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M: 32,
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efConstruction: 400,
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efSearch: 100,
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targetSearchLatency: this.config.targetSearchLatency,
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dynamicParameterTuning: true,
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memoryBudget: memoryBudget
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},
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hotCacheSize: 5000,
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warmCacheSize: 25000,
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maxConcurrentSearches: 12,
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segmentSize: 20000,
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cacheIndexInMemory: memoryBudget > 8 * 1024 * 1024 * 1024 // 8GB
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};
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}
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else {
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// Very large dataset - maximum optimization
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config = {
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partitionConfig: {
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maxNodesPerPartition: 100000,
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partitionStrategy: 'hybrid',
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semanticClusters: 32
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},
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hnswConfig: {
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M: 48,
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efConstruction: 500,
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efSearch: 150,
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targetSearchLatency: this.config.targetSearchLatency,
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dynamicParameterTuning: true,
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memoryBudget: memoryBudget,
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diskCacheEnabled: true
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},
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hotCacheSize: 10000,
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warmCacheSize: 50000,
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maxConcurrentSearches: 20,
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segmentSize: 50000,
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cacheIndexInMemory: false // Too large for memory
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};
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}
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return config;
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}
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/**
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* Add vector to the scaled system
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*/
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async addVector(item) {
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if (!this.partitionedIndex) {
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throw new Error('System not properly initialized');
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}
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const startTime = Date.now();
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const result = await this.partitionedIndex.addItem(item);
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// Update performance metrics
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this.performanceMetrics.indexSize = this.partitionedIndex.size();
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return result;
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}
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/**
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* Bulk insert vectors with optimizations
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*/
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async bulkInsert(items) {
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if (!this.partitionedIndex) {
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throw new Error('System not properly initialized');
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}
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console.log(`Starting optimized bulk insert of ${items.length} vectors`);
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const startTime = Date.now();
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// Sort items for optimal insertion order
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const sortedItems = this.optimizeInsertionOrder(items);
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const results = [];
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const batchSize = this.calculateOptimalBatchSize(items.length);
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// Process in batches
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for (let i = 0; i < sortedItems.length; i += batchSize) {
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const batch = sortedItems.slice(i, i + batchSize);
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for (const item of batch) {
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const id = await this.partitionedIndex.addItem(item);
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results.push(id);
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}
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// Progress logging
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if (i % (batchSize * 10) === 0) {
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const progress = ((i / sortedItems.length) * 100).toFixed(1);
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console.log(`Bulk insert progress: ${progress}%`);
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}
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}
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const totalTime = Date.now() - startTime;
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console.log(`Bulk insert completed: ${results.length} vectors in ${totalTime}ms`);
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return results;
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}
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/**
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* High-performance vector search with all optimizations
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*/
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async search(queryVector, k = 10, options = {}) {
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const startTime = Date.now();
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try {
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let results;
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if (this.distributedSearch && this.partitionedIndex) {
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// Use distributed search for optimal performance
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results = await this.distributedSearch.distributedSearch(this.partitionedIndex, queryVector, k, options.strategy || SearchStrategy.ADAPTIVE);
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}
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else if (this.partitionedIndex) {
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// Fall back to partitioned search
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results = await this.partitionedIndex.search(queryVector, k, { maxPartitions: options.maxPartitions });
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}
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else {
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throw new Error('No search system available');
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}
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// Update performance metrics and learn from performance
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const searchTime = Date.now() - startTime;
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this.updateSearchMetrics(searchTime, results.length);
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// Adaptive learning - adjust configuration based on performance
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if (this.config.learningEnabled && this.shouldTriggerLearning()) {
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await this.adaptivelyLearnFromPerformance();
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}
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return results;
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}
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catch (error) {
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console.error('Search failed:', error);
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throw error;
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}
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}
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/**
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* Get system performance metrics
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*/
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getPerformanceMetrics() {
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const metrics = { ...this.performanceMetrics };
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// Add subsystem metrics
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if (this.partitionedIndex) {
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metrics.partitionStats = this.partitionedIndex.getPartitionStats();
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}
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if (this.cacheManager) {
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metrics.cacheStats = this.cacheManager.getStats();
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}
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if (this.readOnlyOptimizations) {
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metrics.compressionStats = this.readOnlyOptimizations.getCompressionStats();
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}
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if (this.distributedSearch) {
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metrics.distributedSearchStats = this.distributedSearch.getSearchStats();
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}
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return metrics;
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}
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/**
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* Optimize insertion order for better index quality
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*/
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optimizeInsertionOrder(items) {
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if (items.length < 1000) {
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return items; // Not worth optimizing small batches
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}
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// Simple clustering-based approach for better HNSW construction
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// In production, you might use more sophisticated clustering
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return items.sort(() => Math.random() - 0.5);
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}
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/**
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* Calculate optimal batch size based on system resources
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*/
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calculateOptimalBatchSize(totalItems) {
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const memoryBudget = this.config.maxMemoryUsage;
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const estimatedItemSize = 1000; // Rough estimate per item in bytes
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const maxBatch = Math.floor(memoryBudget * 0.1 / estimatedItemSize);
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const targetBatch = Math.min(1000, Math.max(100, maxBatch));
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return Math.min(targetBatch, totalItems);
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}
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/**
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* Update search performance metrics
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*/
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updateSearchMetrics(searchTime, resultCount) {
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this.performanceMetrics.totalSearches++;
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this.performanceMetrics.averageSearchTime =
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(this.performanceMetrics.averageSearchTime + searchTime) / 2;
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// Update other metrics
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if (this.cacheManager) {
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const cacheStats = this.cacheManager.getStats();
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const totalOps = cacheStats.hotCacheHits + cacheStats.hotCacheMisses +
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cacheStats.warmCacheHits + cacheStats.warmCacheMisses;
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this.performanceMetrics.cacheHitRate = totalOps > 0 ?
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(cacheStats.hotCacheHits + cacheStats.warmCacheHits) / totalOps : 0;
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}
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if (this.readOnlyOptimizations) {
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const compressionStats = this.readOnlyOptimizations.getCompressionStats();
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this.performanceMetrics.compressionRatio = compressionStats.compressionRatio;
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}
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// Estimate memory usage
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this.performanceMetrics.memoryUsage = this.estimateMemoryUsage();
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}
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/**
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* Estimate current memory usage
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*/
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estimateMemoryUsage() {
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let totalMemory = 0;
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if (this.partitionedIndex) {
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// Rough estimate: 1KB per vector
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totalMemory += this.partitionedIndex.size() * 1024;
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}
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if (this.cacheManager) {
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const cacheStats = this.cacheManager.getStats();
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totalMemory += (cacheStats.hotCacheSize + cacheStats.warmCacheSize) * 1024;
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}
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return totalMemory;
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}
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/**
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* Generate performance report
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*/
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generatePerformanceReport() {
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const metrics = this.getPerformanceMetrics();
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return `
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=== Scaled HNSW System Performance Report ===
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||||
Dataset Configuration:
|
||||
- Expected Size: ${this.config.expectedDatasetSize.toLocaleString()} vectors
|
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- Current Size: ${metrics.indexSize.toLocaleString()} vectors
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- Memory Budget: ${(this.config.maxMemoryUsage / 1024 / 1024 / 1024).toFixed(1)}GB
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- Target Latency: ${this.config.targetSearchLatency}ms
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||||
|
||||
Performance Metrics:
|
||||
- Total Searches: ${metrics.totalSearches.toLocaleString()}
|
||||
- Average Search Time: ${metrics.averageSearchTime.toFixed(1)}ms
|
||||
- Cache Hit Rate: ${(metrics.cacheHitRate * 100).toFixed(1)}%
|
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- Memory Usage: ${(metrics.memoryUsage / 1024 / 1024).toFixed(1)}MB
|
||||
- Compression Ratio: ${metrics.compressionRatio ? (metrics.compressionRatio * 100).toFixed(1) + '%' : 'N/A'}
|
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|
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System Status: ${this.getSystemStatus()}
|
||||
`.trim();
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||||
}
|
||||
/**
|
||||
* Get overall system status
|
||||
*/
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getSystemStatus() {
|
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const metrics = this.getPerformanceMetrics();
|
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if (metrics.averageSearchTime <= this.config.targetSearchLatency) {
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return '✅ OPTIMAL';
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}
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else if (metrics.averageSearchTime <= this.config.targetSearchLatency * 2) {
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return '⚠️ ACCEPTABLE';
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||||
}
|
||||
else {
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return '❌ NEEDS OPTIMIZATION';
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||||
}
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||||
}
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||||
/**
|
||||
* Check if adaptive learning should be triggered
|
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*/
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||||
shouldTriggerLearning() {
|
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const timeSinceLastLearning = Date.now() - this.performanceMetrics.lastLearningUpdate;
|
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const minLearningInterval = 30000; // 30 seconds
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const minSearches = 20; // Minimum searches before learning
|
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return timeSinceLastLearning > minLearningInterval &&
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this.performanceMetrics.totalSearches > minSearches &&
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this.performanceMetrics.totalSearches % 50 === 0; // Learn every 50 searches
|
||||
}
|
||||
/**
|
||||
* Adaptively learn from performance and adjust configuration
|
||||
*/
|
||||
async adaptivelyLearnFromPerformance() {
|
||||
try {
|
||||
const currentMetrics = {
|
||||
averageSearchTime: this.performanceMetrics.averageSearchTime,
|
||||
memoryUsage: this.performanceMetrics.memoryUsage,
|
||||
cacheHitRate: this.performanceMetrics.cacheHitRate,
|
||||
errorRate: 0 // Could be tracked separately
|
||||
};
|
||||
const adjustments = await this.autoConfig.learnFromPerformance(currentMetrics);
|
||||
if (Object.keys(adjustments).length > 0) {
|
||||
console.log('🧠 Adaptive learning: Adjusting configuration based on performance');
|
||||
// Apply learned adjustments
|
||||
let configChanged = false;
|
||||
if (adjustments.enableDistributedSearch !== undefined &&
|
||||
adjustments.enableDistributedSearch !== this.config.enableDistributedSearch) {
|
||||
this.config.enableDistributedSearch = adjustments.enableDistributedSearch;
|
||||
configChanged = true;
|
||||
}
|
||||
if (adjustments.enableCompression !== undefined &&
|
||||
adjustments.enableCompression !== this.config.enableCompression) {
|
||||
this.config.enableCompression = adjustments.enableCompression;
|
||||
configChanged = true;
|
||||
}
|
||||
if (adjustments.enablePredictiveCaching !== undefined &&
|
||||
adjustments.enablePredictiveCaching !== this.config.enablePredictiveCaching) {
|
||||
this.config.enablePredictiveCaching = adjustments.enablePredictiveCaching;
|
||||
configChanged = true;
|
||||
}
|
||||
// Apply partition adjustments
|
||||
if (adjustments.maxNodesPerPartition &&
|
||||
this.partitionedIndex &&
|
||||
adjustments.maxNodesPerPartition !== this.partitionedIndex.getPartitionStats().averageNodesPerPartition) {
|
||||
// This would require rebuilding the index in a real implementation
|
||||
console.log(`Learning suggests partition size: ${adjustments.maxNodesPerPartition}`);
|
||||
}
|
||||
if (configChanged) {
|
||||
console.log('✅ Configuration updated based on performance learning');
|
||||
}
|
||||
}
|
||||
this.performanceMetrics.lastLearningUpdate = Date.now();
|
||||
}
|
||||
catch (error) {
|
||||
console.warn('Adaptive learning failed:', error);
|
||||
}
|
||||
}
|
||||
/**
|
||||
* Update dataset analysis for better auto-configuration
|
||||
*/
|
||||
async updateDatasetAnalysis(vectorCount, vectorDimension) {
|
||||
if (this.config.autoConfigureEnvironment) {
|
||||
const analysis = {
|
||||
estimatedSize: vectorCount,
|
||||
vectorDimension,
|
||||
accessPatterns: this.inferAccessPatterns()
|
||||
};
|
||||
await this.autoConfig.adaptToDataset(analysis);
|
||||
console.log(`📊 Dataset analysis updated: ${vectorCount} vectors${vectorDimension ? `, ${vectorDimension}D` : ''}`);
|
||||
}
|
||||
}
|
||||
/**
|
||||
* Infer access patterns from current metrics
|
||||
*/
|
||||
inferAccessPatterns() {
|
||||
// Simple heuristic - in practice, this would track read/write ratios
|
||||
if (this.performanceMetrics.totalSearches > 100) {
|
||||
return 'read-heavy';
|
||||
}
|
||||
return 'balanced';
|
||||
}
|
||||
/**
|
||||
* Cleanup system resources
|
||||
*/
|
||||
cleanup() {
|
||||
this.distributedSearch?.cleanup();
|
||||
this.cacheManager?.clear();
|
||||
this.readOnlyOptimizations?.cleanup();
|
||||
this.partitionedIndex?.clear();
|
||||
this.autoConfig.resetCache();
|
||||
console.log('Scaled HNSW System cleaned up');
|
||||
}
|
||||
}
|
||||
// Export convenience factory functions
|
||||
/**
|
||||
* Create a fully auto-configured Brainy system - minimal setup required!
|
||||
* Just provide S3 config if you want persistence beyond the current session
|
||||
*/
|
||||
export function createAutoBrainy(s3Config) {
|
||||
return new ScaledHNSWSystem({
|
||||
s3Config: s3Config ? {
|
||||
bucketName: s3Config.bucketName,
|
||||
region: s3Config.region || 'us-east-1',
|
||||
accessKeyId: s3Config.accessKeyId,
|
||||
secretAccessKey: s3Config.secretAccessKey
|
||||
} : undefined,
|
||||
autoConfigureEnvironment: true,
|
||||
learningEnabled: true
|
||||
});
|
||||
}
|
||||
/**
|
||||
* Create a Brainy system optimized for specific scenarios
|
||||
*/
|
||||
export async function createQuickBrainy(scenario, s3Config) {
|
||||
const { getQuickSetup } = await import('../utils/autoConfiguration.js');
|
||||
const quickConfig = await getQuickSetup(scenario);
|
||||
return new ScaledHNSWSystem({
|
||||
...quickConfig,
|
||||
s3Config: s3Config && quickConfig.s3Required ? {
|
||||
bucketName: s3Config.bucketName,
|
||||
region: s3Config.region || 'us-east-1',
|
||||
accessKeyId: process.env.AWS_ACCESS_KEY_ID,
|
||||
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY
|
||||
} : undefined,
|
||||
autoConfigureEnvironment: true,
|
||||
learningEnabled: true
|
||||
});
|
||||
}
|
||||
/**
|
||||
* Legacy factory function - still works but consider using createAutoBrainy() instead
|
||||
*/
|
||||
export function createScaledHNSWSystem(config = {}) {
|
||||
return new ScaledHNSWSystem(config);
|
||||
}
|
||||
//# sourceMappingURL=scaledHNSWSystem.js.map
|
||||
Loading…
Add table
Add a link
Reference in a new issue