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VectorFusion Hub

VectorFusion Hub is a Python-based search engine that indexes data and provides an efficient way to search for specific information. It leverages indexing and mapping techniques to enhance the search functionality, allowing for faster and more accurate results.

Features

• Indexing: Efficiently indexes data from the given dataset to optimize search performance.
• Search Functionality: Allows users to search for specific items in the dataset.
• Mapping: Provides a mapping of indexed data for easy reference.
• User-friendly Interface: Simplified user interaction through a command-line or web-based interface (if applicable).

Project Structure

├── .gitignore            # Lists files and folders to be ignored by Git
├── indexData.ipynb       # Jupyter Notebook for indexing data
├── indexMapping.py       # Python script for data mapping
├── searchApp.py          # Main application script for search functionality
├── venv/                 # Virtual environment (should be ignored by Git)
└── README.md             # Project documentation

Setup Instructions

1. Clone the repository:

   git clone https://github.com/your-repo-url.git
   cd your-repo-folder

2. Set up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate   # For macOS/Linux
   venv\Scripts\activate      # For Windows

3. Install dependencies: Make sure you have a requirements.txt file or manually install any dependencies required by the project:

   pip install -r requirements.txt

4. Run the indexing script: Use the indexData.ipynb notebook to process and index your dataset.

5. Run the search application: Execute the searchApp.py script to start the VectorFusion Hub search engine:

   python searchApp.py

Usage

• After running VectorFusion Hub, follow the prompts to input search queries and get relevant results.
• Customize the search parameters or indexing logic by modifying indexMapping.py and searchApp.py.

Contribution

Feel free to fork this repository and submit pull requests for any improvements or bug fixes. You can also open issues if you encounter any problems or have feature requests.