A hands-on guide to RAG techniques using LangGraph.
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Updated
Apr 20, 2026 - Jupyter Notebook
A hands-on guide to RAG techniques using LangGraph.
Agentic RAG system for complex document intelligence using multi-source retrieval across vector search, GraphRAG, and SQL. Includes query transformation, citation-grounded answers, self-reflection, corrective repair, RAGAS-style evaluation, conversational follow-ups, and a deployed frontend on AWS.
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