David Snelling
f0ee5f44ec
✅ Unified Cache System - Created UnifiedCache with cost-aware eviction - Integrated with both MetadataIndex and HNSW - Request coalescing, fairness monitoring, access patterns ✅ Index Persistence - Sorted indices for range queries saved/loaded - Integrated with UnifiedCache (100x rebuild cost) ✅ TripleIntelligence Fixed - Native Brain Pattern support - Direct metadata filtering without string conversion ✅ Competitive Analysis - Created comprehensive docs/COMPETITIVE-ANALYSIS.md - Shows Brainy advantages vs all competitors ✅ All Infrastructure Complete - TypeScript: 0 errors - Memory: Optimized with unified cache - Models: Cached locally - Ready for comprehensive testing
1.9 KiB
1.9 KiB
Brain Patterns Optimization Plan
Brain Pattern Operators (Complete List)
- Equality:
equals,is,eq - Comparison:
greaterThan/gt,lessThan/lt,greaterEqual/gte,lessEqual/lte - Range:
between(inclusive range) - Membership:
oneOf/in(value in list) - Contains:
contains(for arrays) - Existence:
exists(field exists) - Negation:
not(logical NOT) - Logical:
allOf(AND),anyOf(OR)
Current Architecture Issues
- MetadataIndex: O(1) hash lookups ONLY
- No sorted indices for ranges
- TripleIntelligence: String-based filtering (">2020") - TERRIBLE
- No numeric type detection
Optimization Strategy
Phase 1: Sorted Index Infrastructure ✅ DONE
interface SortedFieldIndex {
values: Array<[value: any, ids: Set<string>]>
isDirty: boolean
fieldType: 'number' | 'string' | 'date' | 'mixed'
}
Phase 2: Binary Search Implementation ✅ DONE
- O(log n) range boundary finding
- Support inclusive/exclusive ranges
- Handle all comparison operators
Phase 3: Automatic Type Detection
- Detect numeric fields on first value
- Maintain appropriate sorting
- Convert strings to numbers when possible
Phase 4: Query Optimization
- Pre-filter with metadata index BEFORE vector search
- Use sorted indices for ALL range queries
- Cache sorted indices in memory
Performance Targets
- Exact match: O(1) - hash lookup
- Range query: O(log n + m) - binary search + result size
- Combined filters: O(k * log n) - k conditions
- Memory overhead: ~2x current (hash + sorted)
Implementation Status
- Add SortedFieldIndex type
- Add binary search methods
- Update getIdsForFilter for all operators
- Fix TripleIntelligence to use index directly
- Add index statistics/monitoring
- Optimize memory usage
Expected Performance Gains
- Range queries: 100-1000x faster
- Combined vector+metadata: 10-50x faster
- Memory usage: +50% (acceptable tradeoff)