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Real Estate App with OpenAI, LangChain, Convex, and Tailwind CSS

A real estate application that allows users to search properties in Seattle using natural language and get AI-powered recommendations based on their preferences.

Figma Link

Features

  • Search properties in Seattle using natural language queries
  • Save favorite properties to the database
  • Get AI-powered property recommendations using vector similarity search
  • Responsive UI with Tailwind CSS
  • Real-time updates with Convex database

Tech Stack

Frontend

  • React 18
  • Vite
  • Tailwind CSS
  • TanStack Router (formerly React Router)

Backend

  • Express.js
  • Node.js
  • Convex (for vector database)
  • LangChain
  • OpenAI

APIs

  • OpenAI API (for embeddings and natural language processing)
  • Zillow API (via RapidAPI)

Prerequisites

Before running the application, make sure you have:

  • Node.js installed
  • An OpenAI API key
  • A RapidAPI key with access to the Zillow API
  • A Convex account

Environment Setup

Create a .env file in the root directory with the following variables:

OPENAI_API_KEY=your_openai_api_key
RAPID_API_KEY=your_rapid_api_key
VITE_CONVEX_URL=your_convex_url

Installation & Setup

  1. Install dependencies:
npm install
  1. Log in to Convex (if not already logged in):
npx convex login

Running the Application

You'll need three terminal windows to run all components:

  1. Start the Convex development server:
npx convex dev
  1. Start the Express backend server:
nodemon server.js

The server will run on http://localhost:3001

  1. Start the frontend development server:
npm run dev

The app will be available at http://localhost:5174

Project Structure

  • /src - React frontend code
  • /convex - Convex database schema and functions
  • server.js - Express backend server
  • /public - Static assets

Contributing

Contributions are welcome! If you'd like to contribute to this project:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

License

This project is licensed under the MIT License.

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