ResearchAI

ResearchAI is a modular Python toolkit designed to streamline research and development in artificial intelligence, natural language processing, and data science. The project provides utilities for efficient data chunking, loading, and vector storage, making it easy to preprocess, manage, and retrieve large datasets for experimentation and prototyping.

Features

• Data Chunking: Breaks down large datasets or documents into manageable chunks for processing, training, or analysis.
• Data Loading: Flexible loaders to import data from various sources and formats.
• Vector Store: Efficient storage and retrieval of vectorized data, supporting similarity search and embedding-based workflows.
• Extensible Utilities: Modular design allows easy extension and integration with other AI and data science tools.

Project Structure

ResearchAI/
├── app.py                # Main application entry point
├── requirements.txt      # Python dependencies
├── .gitignore            # Git ignore rules
├── .vscode/              # VS Code settings
├── utils/                # Utility modules
│   ├── chunker.py        # Data chunking utilities
│   ├── loader.py         # Data loading utilities
│   ├── vector_store.py   # Vector storage utilities
│   └── README.md         # Utilities documentation
└── README.md             # Project documentation

Getting Started

1. Clone the repository:

   git clone <repo-url>
   cd ResearchAI

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python app.py

Usage Examples

• Chunking Data: Use utils/chunker.py to split large text files or datasets into smaller, manageable pieces for processing or model training.

• Loading Data: Use utils/loader.py to import data from CSV, JSON, or other formats into your workflow.

• Vector Storage: Use utils/vector_store.py to store and retrieve vector embeddings for tasks like similarity search, clustering, or retrieval-augmented generation.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for bug fixes, new features, or improvements. For major changes, discuss them in an issue first.

License

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

Contact

For questions or support, please open an issue on GitHub.