🏆 AI-Powered Text-to-SQL Generator for PostgreSQL Databases

Transforming Natural Language into SQL Queries Instantly!

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🚀 Overview

Welcome to the Text-to-SQL Query Generator, a cutting-edge tool that transforms natural language into SQL queries effortlessly. Our product leverages the power of OpenAI's LLM (Large Language Model) to generate SQL queries based on your input. Not only can you generate queries, but you can also execute them directly on a PostgreSQL database.

But that's not all! Our project goes beyond simple query generation. With the integration of LangChain, we enable advanced data analysis capabilities, allowing you to fetch and analyze data from tables with millions or even billions of rows and columns. Whether you're a data scientist, analyst, or developer, this tool is designed to make your life easier.

Key Highlights:

✔️ Convert simple text inputs into SQL queries effortlessly.
✔️ Execute queries instantly on PostgreSQL databases.
✔️ Analyze and fetch data from millions or even billions of rows.
✔️ LangChain-powered AI model for enhanced database interaction.
✔️ Boosts efficiency by eliminating SQL query writing bottlenecks.

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📌 Key Features

🔹 1. Instant SQL Query Generation

• Simply describe the data operation you want, and the AI will generate a fully functional SQL query.
• Works with SELECT, INSERT, UPDATE, DELETE, JOIN, and other SQL commands.

🔹 2. Real-Time Execution on PostgreSQL

• Directly run the generated SQL queries on your connected PostgreSQL database.
• Fetch insights, modify tables, and analyze records seamlessly.

🔹 3. Large-Scale Data Analysis with LangChain

• Retrieve and process information from millions or billions of rows.
• AI-driven query optimization for efficient large-scale operations.

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⚙️ Project Setup

✅ Step 1: Install Python 3.9 or Higher

Download and install Python from the official website:
🔗 Python Download

✅ Step 2: Install Dependencies

Run the following command to install all required dependencies:

pip install -r requirements.txt

✅ Step 3: Set OpenAI API Key in Environment

Add your OpenAI API key as an environment variable:

Windows Command Prompt

set OPENAI_API_KEY=your_openai_api_key

Windows PowerShell

$env:OPENAI_API_KEY="your_openai_api_key"

Linux/Mac

export OPENAI_API_KEY=your_openai_api_key

✅ Step 4: Add PostgreSQL Connection Details

In app.py, update the database configuration with your credentials:

DATABASE = {
    "dbname": "your_dbname",
    "user": "your_username",
    "password": "your_password",
    "host": "localhost",
    "port": 5432
}

✅ Step 5: Run the Application

Start the AI-powered SQL generator:

python app.py

✅ Step 6: Ask Your Text Query

Once the application is running, simply type a question:

> How many models are there in the garage?

The AI will generate and execute the respective SQL query, fetching the results instantly!

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🖼️ Screenshots

1️⃣ Text-to-SQL Query Conversion

User input transformed into an SQL query.

2️⃣ Query Execution & Output

Executing the generated SQL query in PostgreSQL.

3️⃣ AI-Powered Data Analysis with LangChain

Retrieving and analyzing large datasets seamlessly.

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💡 Why Use Text-to-SQL AI?

✅ No SQL Knowledge Required – Convert plain text into queries.
✅ Instant Execution – Run queries directly on PostgreSQL.
✅ Handles Large Datasets – Analyze massive tables efficiently.
✅ AI-Driven Optimization – LangChain enhances query accuracy.

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📩 Contact & Support

📧 Email: [email protected] | [email protected]

🔹 Join us in revolutionizing database interactions with AI! 🚀