David Snelling
8ff382ca3b
CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB Recovery Status: - Successfully recovered brainy.ts from compiled JavaScript - All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.) - Neural subsystem intact (562KB embedded patterns, NLP working) - Augmentation pipeline operational (20+ augmentations) - HNSW clustering system complete - Triple Intelligence compiled (needs constructor fix) - Test suite validates functionality Changes preserved: - 898 files with changes from last 3 days - 144,475 insertions - All augmentation improvements - All test coverage enhancements - Complete v3.0 feature set This is a LOCAL checkpoint only - contains recovered work after corruption incident. Created backup in .backups/brainy-full-20250910-151314.tar.gz Branch: recovery-checkpoint-20250910-151433 Date: Wed Sep 10 03:18:04 PM PDT 2025
40 lines
1.1 KiB
TypeScript
40 lines
1.1 KiB
TypeScript
/**
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* Cached Embeddings - Performance Optimization Layer
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*
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* Provides pre-computed embeddings for common terms to avoid
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* unnecessary model calls. Falls back to EmbeddingManager for
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* unknown terms.
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*
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* This is purely a performance optimization - it doesn't affect
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* the consistency or accuracy of embeddings.
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*/
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import { Vector } from '../coreTypes.js';
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/**
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* Cached Embeddings with fallback to EmbeddingManager
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*/
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export declare class CachedEmbeddings {
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private stats;
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/**
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* Generate embedding with caching
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*/
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embed(text: string | string[]): Promise<Vector | Vector[]>;
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/**
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* Embed single text with cache lookup
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*/
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private embedSingle;
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/**
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* Get cache statistics
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*/
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getStats(): {
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totalEmbeddings: number;
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cacheHitRate: number;
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cacheHits: number;
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simpleComputes: number;
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modelCalls: number;
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};
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/**
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* Add custom pre-computed embeddings
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*/
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addPrecomputed(term: string, embedding: Vector): void;
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}
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export declare const cachedEmbeddings: CachedEmbeddings;
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