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This project is a user-friendly app that converts natural language queries into SQL commands, leveraging the power of Llama2. The app aims to make database querying more accessible for non-technical users by reducing the complexity of SQL formulation.

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aman-juet/Text-to-SQL-LLM-App

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Text to SQL LLM App using Llama2

Overview This project is a user-friendly app that converts natural language queries into SQL commands, leveraging the power of Llama2. The app aims to make database querying more accessible for non-technical users by reducing the complexity of SQL formulation.

Features

Natural Language to SQL Conversion: Users can type queries in everyday language and receive corresponding SQL commands.

Enhanced Accessibility: Built to enable non-technical users to interact with databases easily, enhancing productivity. Technologies

Llama3: Large Language Model for natural language processing and SQL generation.

Python: Backend for model integration and app functionality.

AWS Bedrock: Cloud infrastructure to deploy and scale the model. Outcome

This app reduces SQL query formulation time by over 60%, streamlining workflows and increasing accessibility to data for all users.

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This project is a user-friendly app that converts natural language queries into SQL commands, leveraging the power of Llama2. The app aims to make database querying more accessible for non-technical users by reducing the complexity of SQL formulation.

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