What AI providers does AI Chat Example support?

Currently, the application supports GitHub Models and OpenAI (via Azure) endpoints. Its extensible architecture allows for easy integration with other AI providers.

Can I use AI Chat Example with GitLab?

Yes! AI Chat Example retrieves GitLab Groups using MCP Server and .NET Aspire. It can then generate markdown tables and tree structures from this group data.

How do I deploy AI Chat Example?

Standard .NET deployment procedures apply. For cloud or container deployments, ensure your secrets are securely managed using environment variables or a secure secret store.

How does AI Chat Example handle API key security?

The application utilizes .NET user secrets to securely manage API keys and other sensitive information, keeping them separate from your source code.

What are the prerequisites for running AI Chat Example?

You'll need the .NET SDK 8.0 or later, Visual Studio 2022+ or Visual Studio Code, and optionally the C# Dev Kit extension for VS Code. You may also want to install the .NET AI Template.

API Development

Developer Tools

Data Science & ML

Ai Chat Example

Name: Ai Chat Example
Author: garrardkitchen

Createdgarrardkitchen

Enables users to interact with AI models using custom data sources.

NPM Package Github Repo

About

AI Chat with Custom Data enables users to interact with AI models using their own data sources. It supports multiple providers, including GitHub Models and OpenAI endpoints, and demonstrates secure secret management and extensible architecture. The application leverages .NET Aspire and an MCP Server to retrieve GitLab Groups based on a search pattern, allowing users to generate markdown tables and tree structures from group data.

Key Features

Secure secret management using user secrets
Extensible architecture
Generates markdown tables and tree structures from group data
Supports multiple AI providers (GitHub Models, OpenAI)
Retrieves GitLab Groups using MCP Server and .NET Aspire
0 GitHub stars

Use Cases

Chatting with AI using custom data sources
Creating tree structure views of GitLab groups
Generating reports from GitLab group data