# Welcome

Welcome to [Wisej.AI](https://wisej.ai/). This guide is designed to help you seamlessly integrate AI-driven features into your Wisej.NET applications. Whether you are starting from scratch or enhancing existing projects, this documentation will help you maximize the potential of your applications with Wisej.AI.

## What is Wisej.AI

Wisej.AI is an advanced system that enhances Wisej.NET components, including third-party widgets, by incorporating AI features to create "Smart" applications. It is designed to be comprehensive, cohesive, standalone, open, and flexible. Wisej.AI operates above infrastructure libraries such as Microsoft [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/overview/) (SK) or [LangChain](https://github.com/tryAGI/LangChain) .NET.

<figure><img src="https://1941161015-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FFjp24h5m0lgli5swqzhO%2Fuploads%2FF3iQsE8F1o9L0S94WtU0%2Fwisej-diagram.png?alt=media&#x26;token=b5f8a577-c48d-4f19-aa76-0685bb554b40" alt=""><figcaption></figcaption></figure>

{% content-ref url="concepts/architecture" %}
[architecture](https://docs.wisej.com/ai/concepts/architecture)
{% endcontent-ref %}

Wisej.AI offers a range of ready-made components to enhance your application with AI features, allowing you to concentrate on desired outcomes instead of complex implementations. As an open system, Wisej.AI supports integration with other libraries and functionalities, including those built with SK, giving you flexibility in your development choices.

## How to Use It

It's quite simple, add the Wisej-3-AI or Wisej-4-AI NuGet package, and start by dropping the SmartHub component on any design surface. Then click "Create Endpoint" to pick your AI provider, then click "Create Adapter" to pick the AI feature you would like to add.

{% content-ref url="concepts/getting-started" %}
[getting-started](https://docs.wisej.com/ai/concepts/getting-started)
{% endcontent-ref %}

For a comprehensive understanding of Large Language Models (LLMs) and to learn what they can do to enhance your application, please review all concepts in the Concepts section of this documentation. This section contains all the necessary information.

### MCP Endpoint <a href="#mcp-endpoint" id="mcp-endpoint"></a>

The documentation is also available through an **MCP (Model Context Protocol) endpoint**, enabling AI tools and agents to access it directly as a structured, queryable source. Instead of relying on static content or embeddings, MCP allows real-time discovery, search, and retrieval of authoritative information. Use the following endpoint to connect your AI client and interact with the documentation programmatically: <https://docs.wisej.com/ai/~gitbook/mcp>.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.wisej.com/ai/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.