🔍 Let AI Explore Your Data – Instantly Visualize, Effortlessly Discover! ✨

🤖 AI Agent Data Explore

A powerful, user-friendly Streamlit application for end-to-end data analysis and exploration—with AI-powered insights.

✨ Features

• 📂 Data Upload: Easily upload CSV, Excel, or JSON files
• 😈 Model Setting: Easily choose the right model
• 🔍 Data Overview: Instantly view data statistics, samples, and descriptive info
• ⚙️ Analysis Target: Define your analysis goals (default: “help me explore the data, show the insights”)
• 🗺️ Analysis Plan: Review the generated plan and give your feedback
• 📊 Result Viewer: Browse historical analysis reports & visualizations
• ⭐ Evaluation: Rate the quality and relevance of the analysis

💡 UI Flow

Visit the UI

🕸️ Agents Graph

🚀 Quick Start

📦 Local Installation

1. Clone the Repo:

   git clone https://github.com/nusduck/AI_Agent_Data_Explore.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up API key: Create and edit .env file:

   OPENAI_API_KEY=Your_API_KEY
   LANGSMITH_API_KEY=Your_API_KEY
   LANGSMITH_TRACING=true
   LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
   LANGSMITH_PROJECT=Your_LangSmith_project
   TAVILY_API_KEY=Your_API_KEY
   DEEPSEEK_API_KEY=Your_API_KEY
   GOOGLE_API_KEY=Your_API_KEY
   

4. Run Streamlit app:

   streamlit run streamlit_app.py
   

5. Open http://localhost:8501 in your browser.

🐳 Deploy with Docker Compose

Recommended for easy deployment and isolation

1. Create a .env file in the project root:

   OPENAI_API_KEY=Your_API_KEY
   LANGSMITH_API_KEY=Your_API_KEY
   LANGSM