This repository contains an implementation of a Vector Database, a specialized database designed for efficient storage and retrieval of high-dimensional vectors. Ideal for applications such as machine learning, similarity search, and data analysis.

• Efficient Vector Storage: Store and manage high-dimensional vectors in a space-efficient manner.
• Fast Retrieval: Implement efficient algorithms for retrieving vectors based on similarity search.
• Scalability: Design the database to scale seamlessly as the volume of vectors increases.
• Customizable: Easily adapt the database implementation to specific use cases and requirements.

1. Clone the repository:

   git clone https://github.com/your-username/Vector-Database.git
   cd Vector-Database

2. Explore the implementation and review the documentation for usage instructions.

python main.py

Vector-Database-Project/
├── notebooks/
│   └── vector_database.ipynb
├── src/
│   ├── embeddings/
│   │   ├── __init__.py
│   │   ├── without_gpu.py
│   │   └── with_gpu.py
│   ├── database/
│   │   ├── __init__.py
│   │   ├── annoy_database.py
│   │   └── faiss_database.py
│   ├── query/
│   │   ├── __init__.py
│   │   └── query.py
│   └── utils/
│       ├── __init__.py
│       └── helper_functions.py
├── data/
│   └── combined_questions_filtered.json
├── tests/
│   └── test_queries.py
├── requirements.txt
├── README.md
└── .gitignore

Contributions are welcome! Feel free to open issues, submit pull requests, or suggest improvements.

This project is licensed under the MIT License.