regabbb22

🚀 Flipkart-Product-Recommender-RAG - Smart Product Recommendations Made Easy

📦 Introduction

Flipkart-Product-Recommender-RAG is a powerful e-commerce recommendation system. It helps you find products that match your interests. Built with advanced technologies, this application provides smart suggestions based on user preferences. With simple steps, you can run this software on your computer.

📋 Features

• User-Friendly Interface: Navigate easily without technical knowledge.
• Smart Recommendations: Get personalized product suggestions.
• Fast and Reliable: High performance backed by robust technologies.
• Regular Updates: Ongoing improvements and features added.

📌 Requirements

Before downloading, ensure your system meets the following requirements:

• Operating System: Windows, macOS, or a modern Linux distribution
• Memory: At least 4 GB RAM
• Processor: Dual-core processor or higher
• Storage: Minimum of 500 MB of free disk space
• Docker: Installed for containerized applications
• Kubernetes: For orchestration and deployment

🚀 Getting Started

1. Download the Application: Visit this page to download the software: Download Page.

2. Install Docker: Ensure you have Docker installed. It helps in running the application in a container. You can download Docker from Docker’s official website.

3. Set Up Kubernetes: If you are using Minikube, ensure it is running. Follow the guide on the Minikube website for setup.

4. Clone the Repository: Open your terminal and run the following command:

   git clone https://github.com/regabbb22/Flipkart-Product-Recommender-RAG.git
   

5. Navigate to the Directory: Change your directory to the cloned repo:

   cd Flipkart-Product-Recommender-RAG
   

6. Run Docker Compose: Use the following command to start the application using Docker:

   docker-compose up
   

7. Access the Application: After the containers start, open your web browser and go to http://localhost:5000 to access the application.

📥 Download & Install

To get the latest version of the Flipkart-Product-Recommender-RAG, please visit this page to download: Download Page.

🔧 Configuration

Once the application is running, configure it according to your preferences. Follow these steps:

1. Settings: Access the settings menu from the main page to adjust preferences.

2. User Profiles: Create a user profile for personalized recommendations.

3. Embed Preferences: Input your interests to get product recommendations tailored to you.

📈 Monitoring the Application

You can monitor the application using Prometheus and Grafana. Ensure they are set up in your environment:

1. Prometheus Setup: Follow the instructions on the Prometheus website to configure it.

2. Grafana Dashboard: Install Grafana from the Grafana website to visualize the metrics.

3. Access Dashboards: Once installed, you can access Grafana at http://localhost:3000 and set up dashboards for monitoring.

📞 Support

For any questions or issues, you can reach out through the following channels:

• GitHub Issues: Submit an issue on the GitHub repository.
• Community Forum: Participate in discussions with other users.

📄 License

This project is licensed under the MIT License. You can find the full license in the repository.

🔗 Additional Resources

• Flipkart API Documentation
• Docker Documentation
• Kubernetes Documentation

🌟 Contribution

If you’re interested in contributing, feel free to fork the repository and submit pull requests. Your help is welcome and appreciated!