ultimate-rag

What problem does it solve?

This Skill delivers a hybrid Corrective RAG and Self-RAG system with mathematical convergence guarantees, reducing hallucinations and improving retrieval reliability.

Core Features & Use Cases

• Corrective RAG (CRAG): threshold-based corrections, automatic web search fallback, and knowledge graph augmentation for entity relationships.
• Self-RAG: self-critique and iterative refinement with convergence tracking to improve answer quality over iterations.
• Lyapunov Convergence: formal guarantees of stability and convergence within a bounded number of iterations.

Quick Start

rag = UltimateRAG(top_k=5, max_iterations=10) result = rag.query("What is Trinity Score philosophy?") print(result.answer)