fix: update all Stage 2 references to Stage 3 CANONICAL type counts

Comprehensive update of type count references from Stage 2 (31 nouns + 40 verbs)
to Stage 3 CANONICAL (42 nouns + 127 verbs) across entire codebase.

Changes (23 files):
- Core architecture: Memory tracking comments, speedup calculations
- Tests: Type count assertions, enum index expectations, memory benchmarks
- CLI: User-visible type count output
- Augmentations: Type detection comments
- Documentation: Architecture docs, guides, performance docs
- Type embeddings: Regenerated for all 169 types (338KB)

Specific updates:
- 31 → 42 (noun count): 38 occurrences
- 40 → 127 (verb count): 24 occurrences
- 124 → 168 bytes (noun array size): 5 occurrences
- 160 → 508 bytes (verb array size): 5 occurrences
- 284 → 676 bytes (total type tracking): 12 occurrences
- Enum indices updated to match Stage 3 reordering

Type embeddings regenerated:
- 42 noun embeddings (64.5 KB)
- 127 verb embeddings (194.8 KB)
- Total: 338 KB (was 108.8 KB)

All constants, arrays, and tests now consistent with Stage 3 taxonomy.

Fixes #v5.5.1-type-count-migration

src/query/typeAwareQueryPlanner.ts

@@ -6,14 +6,14 @@
  * TypeAwareHNSWIndex graphs.
  *
  * Performance Impact:
- * - Single-type queries: 31x speedup (search 1/31 graphs)
- * - Multi-type queries: 6-15x speedup (search 2-5/31 graphs)
+ * - Single-type queries: 42x speedup (search 1/42 graphs)
+ * - Multi-type queries: 8-21x speedup (search 2-5/42 graphs)
  * - Overall: 40% latency reduction @ 1B scale
  *
  * Examples:
- * - "Find engineers" → single-type → [Person] → 31x speedup
- * - "People at Tesla" → multi-type → [Person, Organization] → 15.5x speedup
- * - "Everything about AI" → all-types → [all 31 types] → no speedup
+ * - "Find engineers" → single-type → [Person] → 42x speedup
+ * - "People at Tesla" → multi-type → [Person, Organization] → 21x speedup
+ * - "Everything about AI" → all-types → [all 42 types] → no speedup
  */
 
 import { NounType, NOUN_TYPE_COUNT } from '../types/graphTypes.js'