# 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