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AI Powered Text to SQL RAG Chatbot

Develop an intelligent chatbot that translates natural language queries into SQL statements, leveraging Generative AI and Retrieval-Augmented Generation (RAG). This chatbot empowers non-technical users to interact with SQL databases, streamlining data access and reducing query response times.

7 lectures

What You Will Learn

Mastering the development of a chatbot that translates natural language queries into SQL.
Implementing Retrieval-Augmented Generation (RAG) for enhanced SQL query generation.
Building an end-to-end pipeline for loading data into MySQL and querying it via a chatbot.
Understanding the architecture of an AI-powered SQL chatbot.
Evaluating the accuracy and relevance of generated SQL queries using RAGAS.
Leveraging Generative AI for natural language understanding and SQL query generation.

System Architecture

AI Powered Text to SQL RAG Chatbot Architecture Diagram

High-level architecture overview of the AI Powered Text to SQL RAG Chatbot .

What You'll Build

  • A functional chatbot that converts natural language to SQL queries.
  • An end-to-end pipeline for data loading, query translation, and result presentation.
  • A RAG-based evaluation metric to assess the accuracy of generated SQL queries.
  • A system demonstrating the feasibility of AI-powered SQL query generation.
AI Powered Text to SQL RAG Chatbot
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