Added document: Accelerate document indexing and retrieval (#4600)

### What problem does this PR solve?



### Type of change


- [x] Documentation Update

docs/guides/accelerate_question_answering.mdx

+---
+sidebar_position: 2
+slug: /accelerate_doc_indexing_and_question_answering
+---
+
+# Accelerate document indexing and question answering
+import APITable from '@site/src/components/APITable';
+
+A checklist to speed up document parsing and question answering.
+
+---
+
+Please note that some of your settings may consume a significant amount of time. If you often find that document parsing and question answering are time-consuming, here is a checklist to consider:
+
+## 1. Accelerate document indexing
+
+- Use GPU to reduce embedding time.
+- On the configuration page of your knowledge base, toggle off **Use RAPTOR to enhance retrieval**.
+- The **Knowledge Graph** chunk method (GraphRAG) is time-consuming.
+- Disable **Auto-keyword** and **Auto-question** on the configuration page of yor knowledge base, as both depend on the LLM.
+
+## 2. Accelerate question answering
+
+- In the **Prompt Engine** tab of your **Chat Configuration** dialogue, disabling **Multi-turn optimization** will reduce the time required to get an answer from the LLM.
+- In the **Prompt Engine** tab of your **Chat Configuration** dialogue, leaving the **Rerank model** field empty will significantly decrease retrieval time.
+- In the **Assistant Setting** tab of your **Chat Configuration** dialogue, disabling **Keyword analysis** will reduce the time to get get an answer from the LLM.
+- When chatting with your chat assistant, click the light bulb icon above the *current* dialogue and scroll down the popup window to view the time taken for each task:  
+   ![enlighten](https://github.com/user-attachments/assets/fedfa2ee-21a7-451b-be66-20125619923c)  
+
+
+```mdx-code-block
+<APITable>
+```
+
+| Item name         | Description                                                  |
+| ----------------- | ------------------------------------------------------------ |
+| Total             | Total time spent on this conversation round, including chunk retrieval and answer generation. |
+| Check LLM         | Time to validate the specified LLM.                          |
+| Create retriever  | Time to create a chunk retriever.                            |
+| Bind embedding    | Time to initialize an embedding model instance.              |
+| Bind LLM          | Time to intialize an LLM instance.                           |
+| Tune question     | Time to optimize the user query using the context of the mult-turn conversation. |
+| Bind reranker     | Time to initialize an reranker model instance for chunk retrieval. |
+| Generate keywords | Time to extract keywords from the user query.                |
+| Retrieval         | Time to retrieve the chunks.                                 |
+| Generate answer   | Time to generate the answer.                                 |
+
+```mdx-code-block
+</APITable>
+```

docs/guides/configure_knowledge_base.md

 ---
-sidebar_position: 1
+sidebar_position: 0
 slug: /configure_knowledge_base
 ---
 

docs/guides/develop/build_docker_image.mdx

 ## Target Audience
 
 - Developers who have added new features or modified the existing code and require a Docker image to view and debug their changes.
+- Developers looking to build a RAGFlow Docker image for an ARM64 platform.
 - Testers looking to explore the latest features of RAGFlow in a Docker image.
 
 ## Prerequisites

docs/guides/start_chat.md

 ---
-sidebar_position: 2
+sidebar_position: 1
 slug: /start_chat
 ---
 
 
 :::tip NOTE
 
-1. Click the light bubble icon above the answer to view the expanded system prompt:
+1. Click the light bulb icon above the answer to view the expanded system prompt:
 
 ![](https://github.com/user-attachments/assets/515ab187-94e8-412a-82f2-aba52cd79e09)
 
-   *The light bubble icon is available only for the current dialogue.*
+   *The light bulb icon is available only for the current dialogue.*
 
 2. Scroll down the expanded prompt to view the time consumed for each task: