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VectorSearch.Tech

Vector Search

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: