Natural Language to SQL(Na2SQL): Extracting Insights from Databases using OpenaAI GPT3.5 and Llamaindex
Welcome to the Natural Language to SQL demo project using LlamaIndex! This application is designed to demonstrate the innovative use of Large Language Models (LLMs) in translating natural language queries into SQL queries, and fetching meaningful insights from a database.
- Natural Language Understanding: Converts user-inputted natural language queries into accurate SQL queries.
- Data Retrieval and Analysis: Retrieves results from the database and interprets them to provide meaningful insights.
- Accessibility: Designed for users with no SQL background to easily interact with and extract insights from databases.
- Expansion to include more diverse data sources and databases.
- Advanced natural language processing for more intricate query handling.
- LLM: OpenAI's GPT-3.5
- LLM Orchestration: LlamaIndex
- Data Management: SQLDatabase with SQLite
- UI Framework: Streamlit
app.py: The main application script for the Streamlit app.requirements.txt: Lists the Python packages required for this project.storage/: Directory contains the database file and related resources.
git clone https://github.com/YourGitHubUsername/your-repository-name
pip install -r requirements.txt
streamlit run app.py
Feel free to raise issues or submit pull requests if you think something can be improved or added. Your feedback is highly appreciated!
Developed by Harshad Suryawanshi
If you find this project useful, consider giving it a ⭐ on GitHub!