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SentiWiki AI is an end-to-end agentic RAG system that treats documentation retrieval as an intelligent engineering problem. It distinguishes between looking up a fact (Retrieval) and deriving an answer (Reasoning), using LangGraph-based agents to route queries, decompose complex questions, and retrieve grounded answers from 66+ SentiWiki documents. The system is built as a production-grade, fully deployed stack on AWS ECS Fargate, demonstrating real-world engineering practices including end-to-end data pipelines, agentic intelligence, hybrid retrieval, asynchronous FastAPI backend, and complete observability.
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