# Advantages of the KCG+CAG Approach

Problem	Solution with KCG+CAG
Unscalable Tiny LLM personalization	Shared, validated knowledge layer via KCG
High LLM API Costs	Cache hits reduce redundant expensive calls
Hallucinations / Unverifiable Facts	Immutable, validated knowledge entries
Tiny LLM limitations	Augmented with curated knowledge from KCG
Lack of knowledge traceability	Provenance metadata stored with each entry
Centralized dependency	Federated Gateway model with ZK proofs
No community involvement	Incentive layers for agents and validators