# 生成式 AI 快速入門

- [大型語言模型（LLM）](https://docs.maiagent.ai/tech/quickstart/llm.md)
- [RAG 知識庫檢索系統](https://docs.maiagent.ai/tech/quickstart/rag.md): RAG（Retrieval-Augmented Generation，檢索增強生成）是一種結合檢索（Retrieval）與生成（Generation）技術的生成式 AI 技術架構
- [Embedding 模型](https://docs.maiagent.ai/tech/quickstart/embedding.md)
- [Reranker 模型](https://docs.maiagent.ai/tech/quickstart/reranker.md)
- [Parser 解析工具](https://docs.maiagent.ai/tech/quickstart/parser.md)
- [圖像辨識支援](https://docs.maiagent.ai/tech/quickstart/tu-xiang-bian-shi-zhi-yuan.md)


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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.maiagent.ai/tech/quickstart.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.