Docs: Refactored Retrieval component reference (#9862)

### What problem does this PR solve?

### Type of change

- [x] Documentation Update

docs/quickstart.mdx

@@ -267,7 +267,7 @@ RAGFlow also supports deploying LLMs locally using Ollama, Xinference, or LocalA
 
 To add and configure an LLM: 
 
-1. Click on your logo on the top right of the page **>** **Model providers**。
+1. Click on your logo on the top right of the page **>** **Model providers**.
 
 2. Click on the desired LLM and update the API key accordingly.
 
@@ -286,7 +286,7 @@ You are allowed to upload files to a knowledge base in RAGFlow and parse them in
 
 To create your first knowledge base:
 
-1. Click the **Knowledge Base** tab in the top middle of the page **>** **Create knowledge base**.
+1. Click the **Dataset** tab in the top middle of the page **>** **Create dataset**.
 
 2. Input the name of your knowledge base and click **OK** to confirm your changes.
 
@@ -330,7 +330,7 @@ RAGFlow features visibility and explainability, allowing you to view the chunkin
    ![update chunk](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/add_keyword_question.jpg)
 
 :::caution NOTE
-You can add keywords to a file chunk to improve its ranking for queries containing those keywords. This action increases its keyword weight and can improve its position in search list.
+You can add keywords or questions to a file chunk to improve its ranking for queries containing those keywords. This action increases its keyword weight and can improve its position in search list.
 :::
 
 4. In Retrieval testing, ask a quick question in **Test text** to double check if your configurations work: