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

.recovery-workspace/dist-backup-20250910-141917/utils/jsonProcessing.d.ts

@@ -0,0 +1,43 @@
+/**
+ * Utility functions for processing JSON documents for vectorization and search
+ */
+/**
+ * Extracts text from a JSON object for vectorization
+ * This function recursively processes the JSON object and extracts text from all fields
+ * It can also prioritize specific fields if provided
+ *
+ * @param jsonObject The JSON object to extract text from
+ * @param options Configuration options for text extraction
+ * @returns A string containing the extracted text
+ */
+export declare function extractTextFromJson(jsonObject: any, options?: {
+    priorityFields?: string[];
+    excludeFields?: string[];
+    includeFieldNames?: boolean;
+    maxDepth?: number;
+    currentDepth?: number;
+    fieldPath?: string[];
+}): string;
+/**
+ * Prepares a JSON document for vectorization
+ * This function extracts text from the JSON document and formats it for optimal vectorization
+ *
+ * @param jsonDocument The JSON document to prepare
+ * @param options Configuration options for preparation
+ * @returns A string ready for vectorization
+ */
+export declare function prepareJsonForVectorization(jsonDocument: any, options?: {
+    priorityFields?: string[];
+    excludeFields?: string[];
+    includeFieldNames?: boolean;
+    maxDepth?: number;
+}): string;
+/**
+ * Extracts text from a specific field in a JSON document
+ * This is useful for searching within specific fields
+ *
+ * @param jsonDocument The JSON document to extract from
+ * @param fieldPath The path to the field (e.g., "user.name" or "addresses[0].city")
+ * @returns The extracted text or empty string if field not found
+ */
+export declare function extractFieldFromJson(jsonDocument: any, fieldPath: string): string;