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/neural/patterns.js

@@ -0,0 +1,68 @@
+/**
+ * Core Pattern Library with Pre-computed Embeddings
+ *
+ * This file is auto-generated by scripts/buildPatterns.ts
+ * DO NOT EDIT MANUALLY - edit src/patterns/comprehensive-library.json instead
+ *
+ * Storage strategy:
+ * - Patterns are bundled directly into Brainy for zero-latency access
+ * - Embeddings are pre-computed and stored as binary Float32Array
+ * - Total size: ~140KB (negligible for a neural library)
+ * - No external files needed, works in all environments
+ */
+// Pattern data embedded directly for reliability
+export const CORE_PATTERNS = [
+    // Informational queries
+    {
+        id: "info_what_is",
+        category: "informational",
+        examples: ["what is artificial intelligence", "what is machine learning"],
+        pattern: "what is (.+)",
+        template: { like: "${1}" },
+        confidence: 0.9
+    },
+    {
+        id: "info_how_does",
+        category: "informational",
+        examples: ["how does neural network work", "how does deep learning work"],
+        pattern: "how does (.+) work",
+        template: { like: "${1}" },
+        confidence: 0.85
+    },
+    // ... more patterns loaded from library.json at build time
+];
+// Pre-computed embeddings as binary data
+// Generated by scripts/buildPatterns.ts using Brainy's embedding model
+export const PATTERN_EMBEDDINGS_BINARY = null; // Will be populated at build
+// Helper to decode embeddings
+export function getPatternEmbeddings() {
+    if (!PATTERN_EMBEDDINGS_BINARY) {
+        return new Map(); // Will compute at runtime if not pre-built
+    }
+    const embeddings = new Map();
+    const view = new DataView(PATTERN_EMBEDDINGS_BINARY.buffer);
+    const embeddingSize = 384; // Standard size
+    CORE_PATTERNS.forEach((pattern, index) => {
+        const offset = index * embeddingSize * 4; // 4 bytes per float
+        const embedding = new Float32Array(embeddingSize);
+        for (let i = 0; i < embeddingSize; i++) {
+            embedding[i] = view.getFloat32(offset + i * 4, true);
+        }
+        embeddings.set(pattern.id, embedding);
+    });
+    return embeddings;
+}
+// Version for cache invalidation
+export const PATTERNS_VERSION = "2.0.0";
+// Export metadata for monitoring
+export const PATTERNS_METADATA = {
+    totalPatterns: CORE_PATTERNS.length,
+    categories: [...new Set(CORE_PATTERNS.map(p => p.category))],
+    embeddingDimensions: 384,
+    storageSize: {
+        patterns: "24KB",
+        embeddings: "98KB",
+        total: "122KB"
+    }
+};
+//# sourceMappingURL=patterns.js.map