Refact: Fine tweaks to the doc structure. (#13379)

### What problem does this PR solve?

Fine tweaks to the doc structure.

### Type of change


- [x] Documentation Update

docs/guides/dataset/advanced/_category_.json

@@ -0,0 +1,11 @@
+{
+  "label": "Advanced enrichment",
+  "position": 8,
+  "link": {
+    "type": "generated-index",
+    "description": "Advanced enrichment."
+  },
+  "customProps": {
+    "categoryIcon": "LucideFlower"
+  }
+}

docs/guides/dataset/advanced/auto_metadata.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: -6
+sidebar_position: 4
 slug: /auto_metadata
 sidebar_custom_props: {
    categoryIcon: LucideFileCodeCorner

docs/guides/dataset/advanced/autokeyword_autoquestion.mdx

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 3
+sidebar_position: 0
 slug: /autokeyword_autoquestion
 sidebar_custom_props: {
   categoryIcon: LucideSlidersHorizontal

docs/guides/dataset/advanced/construct_knowledge_graph.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 8
+sidebar_position: 1
 slug: /construct_knowledge_graph
 sidebar_custom_props: {
   categoryIcon: LucideWandSparkles

docs/guides/dataset/advanced/enable_raptor.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 7
+sidebar_position: 2
 slug: /enable_raptor
 sidebar_custom_props: {
   categoryIcon: LucideNetwork
@@ -34,7 +34,7 @@ The recursive clustering and summarization capture a broad understanding (by the
 For multi-hop question-answering tasks involving complex, multistep reasoning, a semantic gap often exists between the question and its answer. As a result, searching with the question often fails to retrieve the relevant chunks that contribute to the correct answer. RAPTOR addresses this challenge by providing the chat model with richer and more context-aware and relevant chunks to summarize, enabling a holistic understanding without losing granular details.
 
 :::tip NOTE
-Knowledge graphs can also be used for multi-hop question-answering tasks. See [Construct knowledge graph](./construct_knowledge_graph.md) for details. You may use either approach or both, but ensure you understand the memory, computational, and token costs involved.
+Knowledge graphs can also be used for multi-hop question-answering tasks. See [Construct knowledge graph](../advanced/construct_knowledge_graph.md) for details. You may use either approach or both, but ensure you understand the memory, computational, and token costs involved.
 :::
 
 ## Prerequisites

docs/guides/dataset/advanced/extract_table_of_contents.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 4
+sidebar_position: 3
 slug: /enable_table_of_contents
 sidebar_custom_props: {
   categoryIcon: LucideTableOfContents

docs/guides/dataset/set_metadata.md

@@ -31,4 +31,4 @@ Ensure that your metadata is in JSON format; otherwise, your updates will not be
 
 ### Can I set metadata for multiple documents at once?
 
-From v0.23.0 onwards, you can set metadata for each document individually or have the LLM auto-generate metadata for multiple files. See [Extract metadata](./auto_metadata.md) for details.
+From v0.23.0 onwards, you can set metadata for each document individually or have the LLM auto-generate metadata for multiple files. See [Extract metadata](./advanced/auto_metadata.md) for details.