Welcome to Flipkart-Product-Recommender-RAG! This application helps users find the best product recommendations using advanced AI technology. With a simple setup, you can enjoy personalized shopping suggestions.
- Personalized Recommendations: Get tailored product suggestions based on your preferences.
- User-Friendly Interface: Navigate easily with our intuitive design.
- Flexible Integration: Use alongside other tools like Flask and Streamlit.
- Containerized Deployment: Benefit from easy setup via Docker.
- Cloud Support: Deploy on Google Cloud Platform with ease.
- Monitoring Tools: Keep track of performance using Prometheus and Grafana.
To run the Flipkart-Product-Recommender-RAG smoothly, ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- RAM: Minimum 8 GB
- Storage: At least 2 GB of free disk space
- Internet Connection: Required for cloud-based features
To get started, visit this page to download the latest release of Flipkart-Product-Recommender-RAG:
- Visit the Release Page: Click the link above to access the GitHub Releases page.
- Select the Latest Version: Look for the most recent version listed.
- Download the Release: Click on the provided link to download the installation package.
- Extract Files (if applicable): If the file is compressed, extract it to a folder of your choice.
- Run the Application: Double-click the executable or script file to launch.
After running the application for the first time, you will need to complete a few setup steps:
- Create an Account: Sign up or log into your Flipkart account.
- Configure Your Preferences: Choose your interests to enhance your recommendations.
- Connect to the Internet: Ensure you are online to access product data.
If you encounter issues during installation or use:
- Check System Requirements: Make sure your system meets the necessary specifications.
- Internet Connection: Ensure you have a stable connection for cloud features.
- Consult Documentation: Refer to the FAQ section on the GitHub page for common problems and solutions.
- Agentic AI: For intelligent recommendation algorithms.
- Groq LLaMA-3: Utilizes advanced machine learning models.
- Docker: For easy setup in a containerized environment.
- Kubernetes (Minikube): Helps with application orchestration.
- HuggingFace Embeddings: Enhances understanding of product features.
- AstraDB Vector Search: Provides efficient data retrieval.
We welcome contributions to improve Flipkart-Product-Recommender-RAG. If you would like to help, please follow these steps:
- Fork the Repository: Click on the "Fork" button.
- Make Your Changes: Work on your updates in a separate branch.
- Submit a Pull Request: Open a pull request for your changes to be reviewed.
If you need further assistance, you can reach out through issues on our GitHub page. We strive to respond to all inquiries promptly.
Enjoy your personalized shopping experience with Flipkart-Product-Recommender-RAG!