If your RAG retrieves the wrong chunks, your answer can be confidently wrong. And the LLM won't tell you. I built a practical LangGraph implementation that mak

If your RAG retrieves the wrong chunks, your answer can be confidently wrong. And the LLM won't tell you. I built a practical LangGraph implementation that makes the RAG system check its retrieval, correct it and retry when necessary. Free version: https://github.com/ChandulaSenevirathna/Agentic_RAG https://github.com/ChandulaSenevirathna/Agentic_RAG Advanced version: https://chandula7.gumroad.com/l/Advanced_RAG_LangGraph_Patterns https://chandula7.gumroad.com/l/Advanced_RAG_LangGraph_Patte... The advanced version includes Corrective RAG, Adaptive RAG, Human-in-the-Loop, Multi-Agent Supervisor, Parallel Fan-Out and Plan-and-Execute patterns.