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Self-RAG LangGraph

blueprint · 3 agents
20000★ stars

What it does

The Self-RAG paper in LangGraph: reflection tokens become graders that judge retrieved documents, check the generation against them for hallucination, and confirm the answer actually addresses the question, looping when any check fails.

From the community

langchain-ai/langgraphopen-source example · MIT · indexed by SocketCatview source ↗

Agent flow

1 · Retriever
Pull candidates
vectorstore
2 · Graders
Relevance, grounding, usefulness
no tools · reasoning
↻ Loop
Rewrite until grounded
graph control
get the code
View the source on GitHub ↗

This blueprint lives in its authors' repository. SocketCat indexes it and links you to the real thing.

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