Welcome to the Embeddings and Vector Database repository! This repository is dedicated to exploring, implementing, and leveraging embeddings, as well as creating a robust vector database for efficient storage and retrieval of vector representations. Table of Contents
Introduction
Features
Getting Started
Usage
Examples
Contributing
License
Embeddings are a powerful technique for representing data in a continuous vector space, preserving semantic relationships between items. This repository aims to provide a comprehensive toolkit for working with embeddings, including the creation of embeddings for various data types and the development of a vector database for efficient storage and retrieval.
1) Embedding Generation: Implement and experiment with state-of-the-art techniques for generating embeddings from different types of data, including text, images, and more.
2) Vector Database: Create and manage a vector database that enables fast and efficient storage, retrieval, and querying of vector representations.
Example Implementations: Explore example implementations demonstrating the use of embeddings and vector databases in real-world scenarios.
The repository provides a set of tools and modules for working with embeddings and vector databases.
We welcome contributions from the community! Whether it's bug fixes, new features, or documentation improvements, feel free to open an issue or submit a pull request. Please refer to the Contributing Guidelines for more information. License
This project is licensed under the MIT License - see the LICENSE file for details. Feel free to use and modify the code for your own projects.
Happy embedding! 🚀