This article details the construction of a resilient multi-agent chatbot designed to convert natural language into SQL queries. It leverages MCP, LangGraph, and Chainlit to create an end-to-end AI assistant capable of executing these queries, interpreting the results, and generating appropriate responses. AI
IMPACT Demonstrates a practical application of multi-agent systems for data interaction and query execution.
RANK_REASON Article describes the implementation of a specific AI tool/framework for a particular task.
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