https://github.com/karthikarajagopal44/chat-with-sql-db

https://github.com/karthikarajagopal44/chat-with-sql-db

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/karthikarajagopal44/chat-with-sql-db
• Owner: KarthikaRajagopal44
• Created: 2025-01-09T14:56:26.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2025-01-09T15:01:17.000Z (21 days ago)
• Last Synced: 2025-01-09T15:44:04.677Z (21 days ago)
• Language: Python
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Chat-with-SQL-DB

This application allows seamless interaction with SQL databases through a chatbot interface. This involved harnessing the power of Langchain and Streamlit, two cutting-edge technologies, to develop a dynamic and interactive user experience.

By leveraging Langchain, particularly its create_sql_agent function, I could bridge the communication between the chatbot and the database. The toolkit I used, SQLDatabaseToolkit, proved to be invaluable in creating a robust and responsive application.

The application supports both local SQLite and MySQL databases. Configuring these connections required a deep dive into SQLAlchemy for engine creation and handling different database.

Integrating a language model using ChatGroq added an intelligent layer to the chatbot, enabling it to understand and process user queries efficiently. The model used, "Llama3-8b-8192," in delivering accurate responses.