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/ * *
* Scaled HNSW System - Integration of All Optimization Strategies
* Production - ready system for handling millions of vectors with sub - second search
* /
import { Vector , VectorDocument , HNSWConfig } from '../coreTypes.js'
import { PartitionedHNSWIndex , PartitionConfig } from './partitionedHNSWIndex.js'
import { OptimizedHNSWIndex , OptimizedHNSWConfig } from './optimizedHNSWIndex.js'
import { DistributedSearchSystem , SearchStrategy } from './distributedSearch.js'
import { EnhancedCacheManager } from '../storage/enhancedCacheManager.js'
import { BatchS3Operations } from '../storage/adapters/batchS3Operations.js'
import { ReadOnlyOptimizations } from '../storage/readOnlyOptimizations.js'
import { euclideanDistance } from '../utils/index.js'
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import { autoConfigureBrainy , AutoConfiguration } from '../utils/autoConfiguration.js'
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export interface ScaledHNSWConfig {
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// Required: Basic dataset expectations (can be auto-detected if not provided)
expectedDatasetSize? : number // Auto-detected if not provided
maxMemoryUsage? : number // Auto-detected based on environment
targetSearchLatency? : number // Auto-configured based on environment
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// Storage configuration (optional - auto-detects S3 availability)
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s3Config ? : {
bucketName : string
region : string
endpoint? : string
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accessKeyId? : string // Falls back to env vars
secretAccessKey? : string // Falls back to env vars
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}
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// Auto-configuration options
autoConfigureEnvironment? : boolean // Default: true
learningEnabled? : boolean // Default: true - adapts to performance
// Manual overrides (optional - auto-configured if not provided)
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enablePartitioning? : boolean
enableCompression? : boolean
enableDistributedSearch? : boolean
enablePredictiveCaching? : boolean
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// Advanced manual tuning (optional)
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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 class ScaledHNSWSystem {
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private config : ScaledHNSWConfig & {
expectedDatasetSize : number
maxMemoryUsage : number
targetSearchLatency : number
autoConfigureEnvironment : boolean
learningEnabled : boolean
enablePartitioning : boolean
enableCompression : boolean
enableDistributedSearch : boolean
enablePredictiveCaching : boolean
readOnlyMode : boolean
}
private autoConfig : AutoConfiguration
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private partitionedIndex? : PartitionedHNSWIndex
private distributedSearch? : DistributedSearchSystem
private cacheManager? : EnhancedCacheManager < any >
private batchOperations? : BatchS3Operations
private readOnlyOptimizations? : ReadOnlyOptimizations
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// Performance monitoring and learning
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private performanceMetrics = {
totalSearches : 0 ,
averageSearchTime : 0 ,
cacheHitRate : 0 ,
compressionRatio : 0 ,
memoryUsage : 0 ,
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indexSize : 0 ,
lastLearningUpdate : Date.now ( )
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}
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constructor ( config : ScaledHNSWConfig = { } ) {
this . autoConfig = AutoConfiguration . getInstance ( )
// Set basic defaults - these will be overridden by auto-configuration
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this . config = {
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expectedDatasetSize : 100000 ,
maxMemoryUsage : 4 * 1024 * 1024 * 1024 ,
targetSearchLatency : 150 ,
autoConfigureEnvironment : true ,
learningEnabled : true ,
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enablePartitioning : true ,
enableCompression : true ,
enableDistributedSearch : true ,
enablePredictiveCaching : true ,
readOnlyMode : false ,
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. . . config
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}
this . initializeOptimizedSystem ( )
}
/ * *
* Initialize the optimized system based on configuration
* /
private async initializeOptimizedSystem ( ) : Promise < void > {
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console . log ( 'Initializing Scaled HNSW System with auto-configuration...' )
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// Auto-configure if enabled
if ( this . config . autoConfigureEnvironment ) {
const autoConfigResult = await this . autoConfig . detectAndConfigure ( {
expectedDataSize : this.config.expectedDatasetSize ,
s3Available : ! ! this . config . s3Config ,
memoryBudget : this.config.maxMemoryUsage
} )
console . log ( ` Detected environment: ${ autoConfigResult . environment } ` )
console . log ( ` Available memory: ${ ( autoConfigResult . availableMemory / 1024 / 1024 / 1024 ) . toFixed ( 1 ) } GB ` )
console . log ( ` CPU cores: ${ autoConfigResult . cpuCores } ` )
// Override config with auto-detected values
this . config = {
. . . this . config ,
expectedDatasetSize : autoConfigResult.recommendedConfig.expectedDatasetSize ,
maxMemoryUsage : autoConfigResult.recommendedConfig.maxMemoryUsage ,
targetSearchLatency : autoConfigResult.recommendedConfig.targetSearchLatency ,
enablePartitioning : autoConfigResult.recommendedConfig.enablePartitioning ,
enableCompression : autoConfigResult.recommendedConfig.enableCompression ,
enableDistributedSearch : autoConfigResult.recommendedConfig.enableDistributedSearch ,
enablePredictiveCaching : autoConfigResult.recommendedConfig.enablePredictiveCaching
}
}
// 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 ) {
this . partitionedIndex = new PartitionedHNSWIndex (
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{
. . . optimizedConfig . partitionConfig ,
partitionStrategy : 'semantic' , // Always use semantic for better performance
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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}
// Initialize distributed search system
if ( this . config . enableDistributedSearch && this . partitionedIndex ) {
this . distributedSearch = new DistributedSearchSystem ( {
maxConcurrentSearches : optimizedConfig.maxConcurrentSearches ,
searchTimeout : this.config.targetSearchLatency * 5 ,
adaptivePartitionSelection : true ,
loadBalancing : true
} )
console . log ( '✓ Distributed search system initialized' )
}
// Initialize batch S3 operations
if ( this . config . s3Config ) {
this . batchOperations = new BatchS3Operations (
null as any , // Would be initialized with actual S3 client
this . config . s3Config . bucketName ,
{
maxConcurrency : 50 ,
useS3Select : this.config.expectedDatasetSize > 100000
}
)
console . log ( '✓ Batch S3 operations initialized' )
}
// Initialize enhanced caching
if ( this . config . enablePredictiveCaching ) {
this . cacheManager = new EnhancedCacheManager ( {
hotCacheMaxSize : optimizedConfig.hotCacheSize ,
warmCacheMaxSize : optimizedConfig.warmCacheSize ,
prefetchEnabled : true ,
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prefetchStrategy : 'hybrid' as any , // Type casting for enum compatibility
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prefetchBatchSize : 50
} )
if ( this . batchOperations ) {
this . cacheManager . setStorageAdapters ( null as any , this . batchOperations )
}
console . log ( '✓ Enhanced cache manager initialized' )
}
// Initialize read-only optimizations
if ( this . config . readOnlyMode && this . config . enableCompression ) {
this . readOnlyOptimizations = new ReadOnlyOptimizations ( {
compression : {
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vectorCompression : 'quantization' as any ,
metadataCompression : 'gzip' as any ,
quantizationType : 'scalar' as any ,
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quantizationBits : 8
} ,
segmentSize : optimizedConfig.segmentSize ,
memoryMapped : true ,
cacheIndexInMemory : optimizedConfig.cacheIndexInMemory
} )
console . log ( '✓ Read-only optimizations initialized' )
}
console . log ( 'Scaled HNSW System ready for' , this . config . expectedDatasetSize , 'vectors' )
}
/ * *
* Calculate optimal configuration based on dataset size and constraints
* /
private calculateOptimalConfiguration ( ) : {
partitionConfig : PartitionConfig
hnswConfig : OptimizedHNSWConfig
hotCacheSize : number
warmCacheSize : number
maxConcurrentSearches : number
segmentSize : number
cacheIndexInMemory : boolean
} {
const size = this . config . expectedDatasetSize
const memoryBudget = this . config . maxMemoryUsage
let config : any = { }
if ( size <= 10000 ) {
// Small dataset - optimize for speed
config = {
partitionConfig : {
maxNodesPerPartition : 10000 ,
partitionStrategy : 'hash' as const
} ,
hnswConfig : {
M : 16 ,
efConstruction : 200 ,
efSearch : 50 ,
targetSearchLatency : this.config.targetSearchLatency
} ,
hotCacheSize : 1000 ,
warmCacheSize : 5000 ,
maxConcurrentSearches : 4 ,
segmentSize : 5000 ,
cacheIndexInMemory : true
}
} else if ( size <= 100000 ) {
// Medium dataset - balance performance and memory
config = {
partitionConfig : {
maxNodesPerPartition : 25000 ,
partitionStrategy : 'semantic' as const ,
semanticClusters : 8
} ,
hnswConfig : {
M : 24 ,
efConstruction : 300 ,
efSearch : 75 ,
targetSearchLatency : this.config.targetSearchLatency ,
dynamicParameterTuning : true
} ,
hotCacheSize : 2000 ,
warmCacheSize : 15000 ,
maxConcurrentSearches : 8 ,
segmentSize : 10000 ,
cacheIndexInMemory : memoryBudget > 2 * 1024 * 1024 * 1024 // 2GB
}
} else if ( size <= 1000000 ) {
// Large dataset - optimize for scale
config = {
partitionConfig : {
maxNodesPerPartition : 50000 ,
partitionStrategy : 'semantic' as const ,
semanticClusters : 16
} ,
hnswConfig : {
M : 32 ,
efConstruction : 400 ,
efSearch : 100 ,
targetSearchLatency : this.config.targetSearchLatency ,
dynamicParameterTuning : true ,
memoryBudget : memoryBudget
} ,
hotCacheSize : 5000 ,
warmCacheSize : 25000 ,
maxConcurrentSearches : 12 ,
segmentSize : 20000 ,
cacheIndexInMemory : memoryBudget > 8 * 1024 * 1024 * 1024 // 8GB
}
} else {
// Very large dataset - maximum optimization
config = {
partitionConfig : {
maxNodesPerPartition : 100000 ,
partitionStrategy : 'hybrid' as const ,
semanticClusters : 32
} ,
hnswConfig : {
M : 48 ,
efConstruction : 500 ,
efSearch : 150 ,
targetSearchLatency : this.config.targetSearchLatency ,
dynamicParameterTuning : true ,
memoryBudget : memoryBudget ,
diskCacheEnabled : true
} ,
hotCacheSize : 10000 ,
warmCacheSize : 50000 ,
maxConcurrentSearches : 20 ,
segmentSize : 50000 ,
cacheIndexInMemory : false // Too large for memory
}
}
return config
}
/ * *
* Add vector to the scaled system
* /
public async addVector ( item : VectorDocument ) : Promise < string > {
if ( ! this . partitionedIndex ) {
throw new Error ( 'System not properly initialized' )
}
const startTime = Date . now ( )
const result = await this . partitionedIndex . addItem ( item )
// Update performance metrics
this . performanceMetrics . indexSize = this . partitionedIndex . size ( )
return result
}
/ * *
* Bulk insert vectors with optimizations
* /
public async bulkInsert ( items : VectorDocument [ ] ) : Promise < string [ ] > {
if ( ! this . partitionedIndex ) {
throw new Error ( 'System not properly initialized' )
}
console . log ( ` Starting optimized bulk insert of ${ items . length } vectors ` )
const startTime = Date . now ( )
// Sort items for optimal insertion order
const sortedItems = this . optimizeInsertionOrder ( items )
const results : string [ ] = [ ]
const batchSize = this . calculateOptimalBatchSize ( items . length )
// Process in batches
for ( let i = 0 ; i < sortedItems . length ; i += batchSize ) {
const batch = sortedItems . slice ( i , i + batchSize )
for ( const item of batch ) {
const id = await this . partitionedIndex . addItem ( item )
results . push ( id )
}
// Progress logging
if ( i % ( batchSize * 10 ) === 0 ) {
const progress = ( ( i / sortedItems . length ) * 100 ) . toFixed ( 1 )
console . log ( ` Bulk insert progress: ${ progress } % ` )
}
}
const totalTime = Date . now ( ) - startTime
console . log ( ` Bulk insert completed: ${ results . length } vectors in ${ totalTime } ms ` )
return results
}
/ * *
* High - performance vector search with all optimizations
* /
public async search (
queryVector : Vector ,
k : number = 10 ,
options : {
strategy? : SearchStrategy
useCache? : boolean
maxPartitions? : number
} = { }
) : Promise < Array < [ string , number ] > > {
const startTime = Date . now ( )
try {
let results : Array < [ string , number ] >
if ( this . distributedSearch && this . partitionedIndex ) {
// Use distributed search for optimal performance
results = await this . distributedSearch . distributedSearch (
this . partitionedIndex ,
queryVector ,
k ,
options . strategy || SearchStrategy . ADAPTIVE
)
} else if ( this . partitionedIndex ) {
// Fall back to partitioned search
results = await this . partitionedIndex . search (
queryVector ,
k ,
{ maxPartitions : options.maxPartitions }
)
} else {
throw new Error ( 'No search system available' )
}
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// Update performance metrics and learn from performance
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const searchTime = Date . now ( ) - startTime
this . updateSearchMetrics ( searchTime , results . length )
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// Adaptive learning - adjust configuration based on performance
if ( this . config . learningEnabled && this . shouldTriggerLearning ( ) ) {
await this . adaptivelyLearnFromPerformance ( )
}
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return results
} catch ( error ) {
console . error ( 'Search failed:' , error )
throw error
}
}
/ * *
* Get system performance metrics
* /
public getPerformanceMetrics ( ) : typeof this . performanceMetrics & {
partitionStats? : any
cacheStats? : any
compressionStats? : any
distributedSearchStats? : any
} {
const metrics = { . . . this . performanceMetrics }
// Add subsystem metrics
if ( this . partitionedIndex ) {
( metrics as any ) . partitionStats = this . partitionedIndex . getPartitionStats ( )
}
if ( this . cacheManager ) {
( metrics as any ) . cacheStats = this . cacheManager . getStats ( )
}
if ( this . readOnlyOptimizations ) {
( metrics as any ) . compressionStats = this . readOnlyOptimizations . getCompressionStats ( )
}
if ( this . distributedSearch ) {
( metrics as any ) . distributedSearchStats = this . distributedSearch . getSearchStats ( )
}
return metrics
}
/ * *
* Optimize insertion order for better index quality
* /
private optimizeInsertionOrder ( items : VectorDocument [ ] ) : VectorDocument [ ] {
if ( items . length < 1000 ) {
return items // Not worth optimizing small batches
}
// Simple clustering-based approach for better HNSW construction
// In production, you might use more sophisticated clustering
return items . sort ( ( ) = > Math . random ( ) - 0.5 )
}
/ * *
* Calculate optimal batch size based on system resources
* /
private calculateOptimalBatchSize ( totalItems : number ) : number {
const memoryBudget = this . config . maxMemoryUsage
const estimatedItemSize = 1000 // Rough estimate per item in bytes
const maxBatch = Math . floor ( memoryBudget * 0.1 / estimatedItemSize )
const targetBatch = Math . min ( 1000 , Math . max ( 100 , maxBatch ) )
return Math . min ( targetBatch , totalItems )
}
/ * *
* Update search performance metrics
* /
private updateSearchMetrics ( searchTime : number , resultCount : number ) : void {
this . performanceMetrics . totalSearches ++
this . performanceMetrics . averageSearchTime =
( this . performanceMetrics . averageSearchTime + searchTime ) / 2
// Update other metrics
if ( this . cacheManager ) {
const cacheStats = this . cacheManager . getStats ( )
const totalOps = cacheStats . hotCacheHits + cacheStats . hotCacheMisses +
cacheStats . warmCacheHits + cacheStats . warmCacheMisses
this . performanceMetrics . cacheHitRate = totalOps > 0 ?
( cacheStats . hotCacheHits + cacheStats . warmCacheHits ) / totalOps : 0
}
if ( this . readOnlyOptimizations ) {
const compressionStats = this . readOnlyOptimizations . getCompressionStats ( )
this . performanceMetrics . compressionRatio = compressionStats . compressionRatio
}
// Estimate memory usage
this . performanceMetrics . memoryUsage = this . estimateMemoryUsage ( )
}
/ * *
* Estimate current memory usage
* /
private estimateMemoryUsage ( ) : number {
let totalMemory = 0
if ( this . partitionedIndex ) {
// Rough estimate: 1KB per vector
totalMemory += this . partitionedIndex . size ( ) * 1024
}
if ( this . cacheManager ) {
const cacheStats = this . cacheManager . getStats ( )
totalMemory += ( cacheStats . hotCacheSize + cacheStats . warmCacheSize ) * 1024
}
return totalMemory
}
/ * *
* Generate performance report
* /
public generatePerformanceReport ( ) : string {
const metrics = this . getPerformanceMetrics ( )
return `
=== Scaled HNSW System Performance Report ===
Dataset Configuration :
- Expected Size : $ { this . config . expectedDatasetSize . toLocaleString ( ) } vectors
- Current Size : $ { metrics . indexSize . toLocaleString ( ) } vectors
- Memory Budget : $ { ( this . config . maxMemoryUsage / 1024 / 1024 / 1024 ) . toFixed ( 1 ) } GB
- Target Latency : $ { this . config . targetSearchLatency } ms
Performance Metrics :
- Total Searches : $ { metrics . totalSearches . toLocaleString ( ) }
- Average Search Time : $ { metrics . averageSearchTime . toFixed ( 1 ) } ms
- Cache Hit Rate : $ { ( metrics . cacheHitRate * 100 ) . toFixed ( 1 ) } %
- Memory Usage : $ { ( metrics . memoryUsage / 1024 / 1024 ) . toFixed ( 1 ) } MB
- Compression Ratio : $ { metrics . compressionRatio ? ( metrics . compressionRatio * 100 ) . toFixed ( 1 ) + '%' : 'N/A' }
System Status : $ { this . getSystemStatus ( ) }
` .trim()
}
/ * *
* Get overall system status
* /
private getSystemStatus ( ) : string {
const metrics = this . getPerformanceMetrics ( )
if ( metrics . averageSearchTime <= this . config . targetSearchLatency ) {
return '✅ OPTIMAL'
} else if ( metrics . averageSearchTime <= this . config . targetSearchLatency * 2 ) {
return '⚠️ ACCEPTABLE'
} else {
return '❌ NEEDS OPTIMIZATION'
}
}
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/ * *
* Check if adaptive learning should be triggered
* /
private shouldTriggerLearning ( ) : boolean {
const timeSinceLastLearning = Date . now ( ) - this . performanceMetrics . lastLearningUpdate
const minLearningInterval = 30000 // 30 seconds
const minSearches = 20 // Minimum searches before learning
return timeSinceLastLearning > minLearningInterval &&
this . performanceMetrics . totalSearches > minSearches &&
this . performanceMetrics . totalSearches % 50 === 0 // Learn every 50 searches
}
/ * *
* Adaptively learn from performance and adjust configuration
* /
private async adaptivelyLearnFromPerformance ( ) : Promise < void > {
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
* /
public async updateDatasetAnalysis ( vectorCount : number , vectorDimension? : number ) : Promise < void > {
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
* /
private inferAccessPatterns ( ) : 'read-heavy' | 'write-heavy' | 'balanced' {
// Simple heuristic - in practice, this would track read/write ratios
if ( this . performanceMetrics . totalSearches > 100 ) {
return 'read-heavy'
}
return 'balanced'
}
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/ * *
* Cleanup system resources
* /
public cleanup ( ) : void {
this . distributedSearch ? . cleanup ( )
this . cacheManager ? . clear ( )
this . readOnlyOptimizations ? . cleanup ( )
this . partitionedIndex ? . clear ( )
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this . autoConfig . resetCache ( )
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console . log ( 'Scaled HNSW System cleaned up' )
}
}
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// 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 ? : {
bucketName : string
region? : string
accessKeyId? : string
secretAccessKey? : string
} ) : ScaledHNSWSystem {
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 : 'small' | 'medium' | 'large' | 'enterprise' ,
s3Config ? : { bucketName : string ; region? : string }
) : Promise < ScaledHNSWSystem > {
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 : ScaledHNSWConfig = { } ) : ScaledHNSWSystem {
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return new ScaledHNSWSystem ( config )
}