🤖 Chat with Databases

🤖 Text to SQL Agentic langgraph chatbot

Streamlit Text to SQL Agentic ChatBot app built with langgraph workflow :

• Workflow : LangGraph Workflow with text-to-query, sqlite, and memory & session management
• Inference & LLM : Groq Inference, Model : llama3.2 3b

Interface :

Steps :

• Put GROQ_API_KEY in .streamlit/secrets.toml
• Put your csv file in /data folder
• Use script /utils/csv_to_sqlite.py to create sqlite databases
• Run the App :

pip install -r requirements.txt
streamlit run main.py

📊 LangGraph WorkFlow

LangGraph Work-Flow

⌨ APP DOCKERFILE :

To build the App from Dockerfile

docker build -t chatbot-app .
docker run -p 8501:8501 \
    -e GROQ_API_KEY=your_groq_api_key \
    chatbot-app