Chat With Your SQL Database

Developed an interactive chatbot application that enables users to engage in conversations with their data. By leveraging advanced language models, the chatbot can answer queries based on the relevant information retrieved from your databases. This project is built using Python and integrates with various data sources, allowing for a dynamic and informative user experience.

Natural Language Processing: Understand and respond to user queries in natural language.

Database Integration: Connect to SQL databases and retrieve relevant data to answer questions.

Conversation History: Maintain the context of the conversation for better responses.

User-Friendly Interface: A simple and intuitive interface built with Tkinter for seamless interaction.

Python: The primary programming language for building the application.

LangChain: A framework for building applications with LLMs (Language Model Models).

SQL Alchemy: For database interactions.

Tkinter: For the graphical user interface.

OllamaLLM: A specific language model integration.