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  • nice content very informative keep it up
  • Useful content for my current project thanx for posting
  • What happens when your RAG system retrieves the wrong documents? Or when the retrieved context is not enough to answer the question? A traditional RAG pipeline usually doesn't think twice and its path is so its a single attempt generated answer.

    "Retrieve → Generate → Answer"

    What I built

    Retrieve → Reason → Verify → Correct → Answer

    I created a collection of self contained notebooks demonstrating different Agentic RAG patterns with LangGraph. Each notebook focuses on a practical pattern that you can understand, experiment with and adapt to your own AI projects.

    Free version: https://github.com/ChandulaSenevirathna/Agentic_RAG

    Advanced version: https://chandula7.gumroad.com/l/Advanced_RAG_LangGraph_Patte...

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Practical Agentic RAG patterns implemented with LangGraph · Birbla