Conversion of Natural Language queries to SQL queries using LLMs 🚀

Overview

Conversion of Natural Language queries to SQL queries using LLMs is an innovative project that leverages the power of Large Language models such as Google's Generative AI and Llama 2 to transform natural language queries into SQL database queries. This project offers a seamless user experience through a user-friendly interface built with Streamlit.

Technologies Used

• Python
• LLMs
• SQLite
• Streamlit
• Huggingface Spaces

Key Features

• End-to-End AI Model: Developed an end-to-end solution using the Google Generative AI - Gemini Pro Model.
• User-Friendly Interface: Created an intuitive interface with Streamlit for effortless text-to-SQL query generation.
• Database Interaction: Designed and implemented functionality to extract information from SQLite databases based on user input prompts.
• Linguistic abilities: The model is capable of understanding multiple regional and international languages and can convert queries in those languages to SQL queries.