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An NLP-to-MCP Pipeline for EduTech RAG with LangGraph Multi-Agent Orchestration
Extracting value from EduTech reviews requires moving beyond sentiment analysis toward pedagogically-grounded structured extraction. The NLP pipeline described here combining domain-specific classification, evidence-span preservation, confidence gating, and MCP-native output formatting transforms unstructured student voice into machine-actionable curriculum intelligence.
