4 pointsby Delta0003 hours ago2 comments
  • Delta0003 hours ago
    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...

  • Razer993 hours ago
    Agentic RAG is very useful when dealing with complex tasks and information. Nice work ...
    • Delta0003 hours ago
      Yes agentic rag is helpful when an answer cannot be found in first try or when you need an fallback methods.