chore: recovery checkpoint - v3.0 API successfully recovered

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
This commit is contained in:
David Snelling 2025-09-10 15:18:04 -07:00
parent f65455fb22
commit 8ff382ca3b
895 changed files with 143654 additions and 28268 deletions

View file

@ -0,0 +1,65 @@
/**
* Neural Entity Extractor using Brainy's NounTypes
* Uses embeddings and similarity matching for accurate type detection
*/
import { NounType } from '../types/graphTypes.js';
import { Vector } from '../coreTypes.js';
import type { Brainy } from '../brainy.js';
export interface ExtractedEntity {
text: string;
type: NounType;
position: {
start: number;
end: number;
};
confidence: number;
vector?: Vector;
metadata?: any;
}
export declare class NeuralEntityExtractor {
private brain;
private typeEmbeddings;
private initialized;
constructor(brain: Brainy | Brainy<any>);
/**
* Initialize type embeddings for neural matching
*/
private initializeTypeEmbeddings;
/**
* Extract entities from text using neural matching
*/
extract(text: string, options?: {
types?: NounType[];
confidence?: number;
includeVectors?: boolean;
neuralMatching?: boolean;
}): Promise<ExtractedEntity[]>;
/**
* Extract candidate entities using patterns
*/
private extractCandidates;
/**
* Get context-based confidence boost for type matching
*/
private getContextBoost;
/**
* Rule-based classification fallback
*/
private classifyByRules;
/**
* Get embedding for text
*/
private getEmbedding;
/**
* Calculate cosine similarity between vectors
*/
private cosineSimilarity;
/**
* Simple hash function for fallback
*/
private simpleHash;
/**
* Remove duplicate and overlapping entities
*/
private deduplicateEntities;
}