RAG with LangGraph #15 - Agentic RAG using Self-RAG

I explore Self-RAG - an agentic pattern that asks reflective questions at each stage of the workflow to self-optimize. Instead of blindly retrieving and generating, it checks: is retrieval even needed? Are the retrieved documents relevant? Is the final answer grounded? Built using LangGraph, where each reflection step becomes a decision node in the graph. 🔗 GitHub Repo: https://github.com/v1jaysundaram/rag-with-langgraph 🎥 Full Playlist: https://www.youtube.com/playlist?list=PLEHeb1HGikpRX0---E12X1hyt5yOFlz_6 🤝 Connect with me on LinkedIn: https://www.linkedin.com/in/vijay-sundaram/