Corrective RAG (CRAG) enhances traditional RAG systems by adding a self-assessment step that evaluates retrieved document relevance before generating responses. The workflow searches documents, uses an LLM to assess context relevance, retains only relevant information, performs web search when needed, and aggregates context for

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Connect any LLM to any MCP server![Hands-on] Corrective RAG Agentic WorkflowP.S. For those wanting to develop “Industry ML” expertise:

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