vectorsearch

VectorSearch.Tech

Welcome to the Vector Search Technologies repository! This project hosts the code and content for a website dedicated to exploring the world of vector search technologies. Whether you're new to vector databases or an expert seeking in-depth insights, this website provides blogs, tutorials, and guides to support developers, data scientists, and researchers working with vector search solutions.

Website Overview

The website is a comprehensive resource on vector search technologies, featuring:

• Blog Posts: Thought-provoking articles on trends, innovations, and best practices in the field.
• Tutorials: Hands-on tutorials to help you build and optimize vector search applications.
• Guides: Step-by-step instructions for solving real-world challenges using vector search databases.

About the Author

This website is owned and maintained by David Myriel, the current Director of Developer Relations at Qdrant. With years of experience in developer relations and a passion for advancing AI and search technologies, David aims to foster a community of learners and innovators through this platform.

Repository Structure

/docs
   /blog       # Blog posts (Markdown files)
   /tutorials  # Tutorials and sample code
   /guides     # Comprehensive guides on vector search
/assets        # Static assets (images, CSS, JS)
/mkdocs.yml    # MkDocs configuration file

How to Run Locally with MkDocs Material

To run the website locally using MkDocs Material, follow these steps:

1. Clone the repository:

   git clone https://github.com/davidmyriel/vectorsearch.git
   cd vector-search-website

2. Install MkDocs and dependencies:

   pip install mkdocs-material

3. Serve the site locally:

   mkdocs serve

4. View the website:
   Open http://localhost:8000 in your browser.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature-name).
3. Commit your changes (git commit -m 'Add feature').
4. Push the branch (git push origin feature/your-feature-name).
5. Open a pull request.

? License

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

? Contact

For any inquiries, feel free to reach out to David Myriel at:

• LinkedIn: David Myriel