Restructured guides (#5555)

### What problem does this PR solve?


### Type of change

- [x] Documentation Update

docs/guides/develop/_category_.json → docs/develop/_category_.json

@@ -1,6 +1,6 @@
 {
-  "label": "Develop",
-  "position": 10,
+  "label": "Developer guides",
+  "position": 4,
   "link": {
     "type": "generated-index",
     "description": "Guides for Hardcore Developers"

docs/references/faq.md → docs/faq.md

@@ -3,7 +3,7 @@ sidebar_position: 10
 slug: /faq
 ---
 
-# Frequently asked questions
+# FAQ
 
 Queries regarding general features, troubleshooting, usage, and more.
 
@@ -65,7 +65,7 @@ RAGFlow has a number of built-in models for document structure parsing, which ac
 
 ### Which architectures or devices does RAGFlow support?
 
-We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
+We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. If you are on an ARM platform, follow [this guide](./develop/build_docker_image) to build a RAGFlow Docker image.
 
 ---
 
@@ -130,7 +130,7 @@ Yes, we support enhancing user queries based on existing context of an ongoing c
 
 #### How to build the RAGFlow image from scratch?
 
-See [Build a RAGFlow Docker image](https://ragflow.io/docs/dev/build_docker_image).
+See [Build a RAGFlow Docker image](./develop/build_docker_image).
 
 ---
 
@@ -453,7 +453,7 @@ This error occurs because there are too many chunks matching your search criteri
 
 ### How to get an API key for integration with third-party applications?
 
-See [Acquire a RAGFlow API key](../guides/develop/acquire_ragflow_api_key.md).
+See [Acquire a RAGFlow API key](./develop/acquire_ragflow_api_key.md).
 
 ---
 

docs/guides/chat/_category_.json

@@ -0,0 +1,8 @@
+{
+  "label": "Chat",
+  "position": 1,
+  "link": {
+    "type": "generated-index",
+    "description": "Chat-specific guides."
+  }
+}

docs/guides/accelerate_question_answering.mdx → docs/guides/chat/accelerate_question_answering.mdx

@@ -1,25 +1,16 @@
 ---
 sidebar_position: 2
-slug: /accelerate_doc_indexing_and_question_answering
+slug: /accelerate_question_answering
 ---
 
-# Accelerate document indexing and question answering
+# Accelerate 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, switch off **Use RAPTOR to enhance retrieval**.
-- Extracting knowledge graph (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
+Please note that some of your settings may consume a significant amount of time. If you often find that your question answering is time-consuming, here is a checklist to consider:
 
 - 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.

docs/guides/dataset/accelerate_doc_indexing.mdx

@@ -0,0 +1,18 @@
+---
+sidebar_position: 9
+slug: /accelerate_doc_indexing
+---
+
+# Accelerate document indexing
+import APITable from '@site/src/components/APITable';
+
+A checklist to speed up document parsing.
+
+---
+
+Please note that some of your settings may consume a significant amount of time. If you often find that document parsing is time-consuming, here is a checklist to consider:
+
+- Use GPU to reduce embedding time.
+- On the configuration page of your knowledge base, switch off **Use RAPTOR to enhance retrieval**.
+- Extracting knowledge graph (GraphRAG) is time-consuming.
+- Disable **Auto-keyword** and **Auto-question** on the configuration page of yor knowledge base, as both depend on the LLM.

docs/guides/manage_team_members.md

@@ -3,7 +3,7 @@ sidebar_position: 4
 slug: /manage_team_members
 ---
 
-# Manage team members
+# Team
 
 Invite or remove team members, join or leave a team.
 

docs/guides/models/deploy_local_llm.mdx

@@ -25,7 +25,7 @@ This user guide does not intend to cover much of the installation or configurati
 
 :::note
 - For information about downloading Ollama, see [here](https://github.com/ollama/ollama?tab=readme-ov-file#ollama).
-- For information about configuring Ollama server, see [here](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-configure-ollama-server).
+- For information about configuring Ollama server, see [here](../../faq.md#how-do-i-configure-ollama-server).
 - For a complete list of supported models and variants, see the [Ollama model library](https://ollama.com/library).
 :::
 

docs/guides/upgrade_ragflow.mdx

@@ -3,7 +3,7 @@ sidebar_position: 11
 slug: /upgrade_ragflow
 ---
 
-# Upgrade RAGFlow
+# Upgrade
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 

docs/quickstart.mdx

@@ -20,7 +20,7 @@ This quick start guide describes a general process from:
 :::danger IMPORTANT
 We officially support x86 CPU and Nvidia GPU, and this document offers instructions on deploying RAGFlow using Docker on x86 platforms. While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM.
 
-If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
+If you are on an ARM platform, follow [this guide](./develop/build_docker_image) to build a RAGFlow Docker image.
 :::
 
 ## Prerequisites
@@ -356,7 +356,7 @@ Conversations in RAGFlow are based on a particular knowledge base or multiple kn
 :::tip NOTE
 RAGFlow also offers HTTP and Python APIs for you to integrate RAGFlow's capabilities into your applications. Read the following documents for more information:
 
-- [Acquire a RAGFlow API key](./guides/develop/acquire_ragflow_api_key.md)
+- [Acquire a RAGFlow API key](./develop/acquire_ragflow_api_key.md)
 - [HTTP API reference](./references/http_api_reference.md)
 - [Python API reference](./references/python_api_reference.md)
 :::

docs/release_notes.md

@@ -205,9 +205,9 @@ pip install ragflow-sdk==0.13.0
 
 #### Added documents
 
-- [Acquire a RAGFlow API key](https://ragflow.io/docs/dev/acquire_ragflow_api_key)
-- [HTTP API Reference](https://ragflow.io/docs/dev/http_api_reference)
-- [Python API Reference](https://ragflow.io/docs/dev/python_api_reference)
+- [Acquire a RAGFlow API key](./develop/acquire_ragflow_api_key.md)
+- [HTTP API Reference](./references/http_api_reference.md)
+- [Python API Reference](./references/python_api_reference.md)
 
 ## v0.12.0
 
@@ -315,7 +315,7 @@ Released on May 31, 2024.
 :::danger IMPORTANT
 While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM.
 
-If you are on an ARM platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a RAGFlow Docker image.
+If you are on an ARM platform, follow [this guide](./develop/build_docker_image) to build a RAGFlow Docker image.
 :::
 
 ### Related APIs