brainy/src/utils/metadataFilter.ts

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🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
/**
* Smart metadata filtering for vector search
* Filters DURING search to ensure relevant results
* Simple API that just works without configuration
*/
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
import { SearchResult, HNSWNoun, HNSWNounWithMetadata } from '../coreTypes.js'
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
/**
* Brainy Field Operators (BFO) - Our own field query system
* Designed for performance, clarity, and patent independence
*/
export interface BrainyFieldOperators {
// Equality operators
equals?: any
notEquals?: any
is?: any
isNot?: any
// Comparison operators
greaterThan?: any
greaterEqual?: any
lessThan?: any
lessEqual?: any
between?: [any, any]
// Array/Set operators
oneOf?: any[]
noneOf?: any[]
contains?: any
excludes?: any
hasAll?: any[]
length?: number
// Existence operators
exists?: boolean
missing?: boolean
// Pattern operators
matches?: string | RegExp
startsWith?: string
endsWith?: string
// Logical operators
allOf?: MetadataFilter[]
anyOf?: MetadataFilter[]
not?: MetadataFilter
// Short aliases for common operations
eq?: any
ne?: any
gt?: any
gte?: any
lt?: any
lte?: any
}
/**
* Metadata filter definition
*/
export interface MetadataFilter {
[key: string]: any | BrainyFieldOperators
}
/**
* Options for metadata filtering
*/
export interface MetadataFilterOptions {
metadata?: MetadataFilter
scoring?: {
vectorWeight?: number
metadataWeight?: number
metadataBoosts?: Record<string, number | ((value: any, query: any) => number)>
}
}
/**
* Check if a value matches a query with operators
*/
function matchesQuery(value: any, query: any): boolean {
// Direct equality check
if (typeof query !== 'object' || query === null || Array.isArray(query)) {
return value === query
}
// Check for Brainy Field Operators (BFO)
for (const [op, operand] of Object.entries(query)) {
switch (op) {
// Equality operators
case 'equals':
case 'is':
case 'eq':
if (value !== operand) return false
break
case 'notEquals':
case 'isNot':
case 'ne':
// Special handling: if value is undefined and operand is not undefined,
// they are not equal (so the condition passes)
// This ensures items without a 'deleted' field match 'deleted !== true'
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
if (value === operand) return false
// If value is undefined and operand is not, they're not equal (pass)
// If both are undefined, they're equal (fail, handled above)
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
break
// Comparison operators
case 'greaterThan':
case 'gt':
if (typeof value !== 'number' || typeof operand !== 'number' || !(value > operand)) return false
break
case 'greaterEqual':
case 'gte':
if (typeof value !== 'number' || typeof operand !== 'number' || !(value >= operand)) return false
break
case 'lessThan':
case 'lt':
if (typeof value !== 'number' || typeof operand !== 'number' || !(value < operand)) return false
break
case 'lessEqual':
case 'lte':
if (typeof value !== 'number' || typeof operand !== 'number' || !(value <= operand)) return false
break
case 'between':
if (!Array.isArray(operand) || operand.length !== 2) return false
if (typeof value !== 'number' || !(value >= operand[0] && value <= operand[1])) return false
break
// Array/Set operators
case 'oneOf':
if (!Array.isArray(operand) || !operand.includes(value)) return false
break
case 'noneOf':
if (!Array.isArray(operand) || operand.includes(value)) return false
break
case 'contains':
if (!Array.isArray(value) || !value.includes(operand)) return false
break
case 'excludes':
if (!Array.isArray(value) || value.includes(operand)) return false
break
case 'hasAll':
if (!Array.isArray(value) || !Array.isArray(operand)) return false
for (const item of operand) {
if (!value.includes(item)) return false
}
break
case 'length':
if (!Array.isArray(value) || value.length !== operand) return false
break
// Existence operators
case 'exists':
if ((value !== undefined) !== operand) return false
break
case 'missing':
if ((value === undefined) !== operand) return false
break
// Pattern operators
case 'matches':
const regex = typeof operand === 'string' ? new RegExp(operand) : operand as RegExp
if (!(regex instanceof RegExp) || !regex.test(String(value))) return false
break
case 'startsWith':
if (typeof value !== 'string' || !value.startsWith(String(operand))) return false
break
case 'endsWith':
if (typeof value !== 'string' || !value.endsWith(String(operand))) return false
break
default:
// Unknown operator, treat as field name
if (!matchesFieldQuery(value, op, operand)) return false
}
}
return true
}
/**
* Check if a field matches a query
*/
function matchesFieldQuery(obj: any, field: string, query: any): boolean {
const value = getNestedValue(obj, field)
return matchesQuery(value, query)
}
/**
* Get nested value from object using dot notation
*/
function getNestedValue(obj: any, path: string): any {
const parts = path.split('.')
let current = obj
for (const part of parts) {
if (current === null || current === undefined) {
return undefined
}
current = current[part]
}
return current
}
/**
* Check if metadata matches the filter
*/
export function matchesMetadataFilter(metadata: any, filter: MetadataFilter): boolean {
if (!filter || Object.keys(filter).length === 0) {
return true
}
for (const [key, query] of Object.entries(filter)) {
// Handle logical operators
if (key === 'allOf') {
if (!Array.isArray(query)) return false
for (const subFilter of query) {
if (!matchesMetadataFilter(metadata, subFilter)) return false
}
continue
}
if (key === 'anyOf') {
if (!Array.isArray(query)) return false
let matched = false
for (const subFilter of query) {
if (matchesMetadataFilter(metadata, subFilter)) {
matched = true
break
}
}
if (!matched) return false
continue
}
if (key === 'not') {
if (matchesMetadataFilter(metadata, query)) return false
continue
}
// Handle field queries
const value = getNestedValue(metadata, key)
if (!matchesQuery(value, query)) {
return false
}
}
return true
}
/**
* Calculate metadata boost score
*/
export function calculateMetadataScore(
metadata: any,
filter: MetadataFilter,
scoring?: MetadataFilterOptions['scoring']
): number {
if (!scoring || !scoring.metadataBoosts) {
return 0
}
let score = 0
for (const [field, boost] of Object.entries(scoring.metadataBoosts)) {
const value = getNestedValue(metadata, field)
if (typeof boost === 'function') {
score += boost(value, filter)
} else if (value !== undefined) {
// Check if the field matches the filter
const fieldFilter = filter[field]
if (fieldFilter && matchesQuery(value, fieldFilter)) {
score += boost
}
}
}
return score
}
/**
* Apply compound scoring to search results
*/
export function applyCompoundScoring<T>(
results: SearchResult<T>[],
filter: MetadataFilter,
scoring?: MetadataFilterOptions['scoring']
): SearchResult<T>[] {
if (!scoring || (!scoring.vectorWeight && !scoring.metadataWeight)) {
return results
}
const vectorWeight = scoring.vectorWeight ?? 1.0
const metadataWeight = scoring.metadataWeight ?? 0.0
return results.map(result => {
const metadataScore = calculateMetadataScore(result.metadata, filter, scoring)
const combinedScore = (result.score * vectorWeight) + (metadataScore * metadataWeight)
return {
...result,
score: combinedScore
}
}).sort((a, b) => b.score - a.score) // Re-sort by combined score
}
/**
* Filter search results by metadata
*/
export function filterSearchResultsByMetadata<T>(
results: SearchResult<T>[],
filter: MetadataFilter
): SearchResult<T>[] {
if (!filter || Object.keys(filter).length === 0) {
return results
}
return results.filter(result =>
matchesMetadataFilter(result.metadata, filter)
)
}
/**
* Filter nouns by metadata before search
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
* v4.0.0: Takes HNSWNounWithMetadata which includes metadata field
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
*/
export function filterNounsByMetadata(
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
nouns: HNSWNounWithMetadata[],
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
filter: MetadataFilter
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
): HNSWNounWithMetadata[] {
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
if (!filter || Object.keys(filter).length === 0) {
return nouns
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
return nouns.filter(noun =>
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
matchesMetadataFilter(noun.metadata, filter)
)
}
/**
* Aggregate search results for faceted search
*/
export interface FacetConfig {
field: string
limit?: number
}
export interface FacetResult {
[value: string]: number
}
export interface AggregationResult<T> {
results: SearchResult<T>[]
facets: Record<string, FacetResult>
}
export function aggregateSearchResults<T>(
results: SearchResult<T>[],
facets: Record<string, FacetConfig>
): AggregationResult<T> {
const facetResults: Record<string, FacetResult> = {}
for (const [facetName, config] of Object.entries(facets)) {
const counts: Record<string, number> = {}
for (const result of results) {
const value = getNestedValue(result.metadata, config.field)
if (value !== undefined) {
const key = String(value)
counts[key] = (counts[key] || 0) + 1
}
}
// Sort by count and apply limit
const sorted = Object.entries(counts)
.sort((a, b) => b[1] - a[1])
.slice(0, config.limit || 10)
facetResults[facetName] = Object.fromEntries(sorted)
}
return {
results,
facets: facetResults
}
}