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GitHub App: Semantic Kernel with Dapper, PostgreSQL, and PgVector

For a comprehensive guide on building a Semantic Kernel using Dapper, PostgreSQL, and PgVector in C#, check out the detailed blog post.

Overview

This repository offers a structured approach to implementing a Semantic Kernel that enhances your application's data handling capabilities through semantic understanding and vector representations.

Key Features

  • Semantic Kernel: Enable intelligent data processing and interaction.
  • Dapper: A lightweight ORM for efficient database queries.
  • PostgreSQL: A powerful relational database management system.
  • PgVector: Extension for managing vector data seamlessly.

Getting Started

  1. Clone the Repository:

    git clone https://github.com/yourusername/your-repo-name.git
cd your-repo-name

  2. Install Dependencies: Follow the installation instructions outlined in the blog post.

  3. Database Setup: Set up your PostgreSQL database and configure PgVector as described in the blog.

  4. Run the Application: Launch the application using your preferred method (e.g., Visual Studio, command line).

Usage

Refer to the blog post for detailed instructions and examples on integrating the Semantic Kernel into your applications.

Contribution

Contributions are welcome! Please see our CONTRIBUTING.md for guidelines.

License

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

Acknowledgments

Thanks to the community and resources that contributed to this project. For in-depth implementation insights, please visit the blog post.

Feel free to explore, use, and contribute!