Building a Resilient Multi-Agent Text-to-SQL Chatbot with MCP, LangGraph & Chainlit
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.