I explore Corrective RAG (CRAG) - an agentic pattern that evaluates retrieved documents before generating a response, and self-corrects by triggering a web search or rewriting the query when retrieval isn't good enough. I walk through how to implement this using LangGraph, where each step in the correction loop becomes a 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/
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RAG with LangGraph #14 - Agentic RAG using CRAG | NatokHD