📐 Expanded Architecture

RuVector Components (included with Ruflo):

Component	Purpose	Performance
SONA	Self-Optimizing Pattern Learning - learns optimal routing	Fast adaptation
EWC++	Elastic Weight Consolidation - prevents catastrophic forgetting	Preserves learned patterns
Flash Attention	Optimized attention computation	2-7x speedup (benchmarked)
HNSW	Hierarchical Navigable Small World vector search	Sub-millisecond retrieval
ReasoningBank	Pattern storage with trajectory learning	RETRIEVE→JUDGE→DISTILL
Hyperbolic	Poincare ball embeddings for hierarchical data	Better code relationships
LoRA/MicroLoRA	Low-Rank Adaptation for efficient fine-tuning	Lightweight adaptation
Int8 Quantization	Memory-efficient weight storage	~4x memory reduction
SemanticRouter	Semantic task routing with cosine similarity	Fast intent routing
9 RL Algorithms	Q-Learning, SARSA, A2C, PPO, DQN, Decision Transformer, etc.	Task-specific learning

bash
# Use RuVector via Ruflo
npx ruflo@latest hooks intelligence --status