diff --git a/_about/index.md b/_about/index.md
index d2cc011b55..041197eeba 100644
--- a/_about/index.md
+++ b/_about/index.md
@@ -22,16 +22,21 @@ This section contains documentation for OpenSearch and OpenSearch Dashboards.
 
 ## Getting started
 
-- [Intro to OpenSearch]({{site.url}}{{site.baseurl}}/intro/)
-- [Quickstart]({{site.url}}{{site.baseurl}}/quickstart/)
+To get started, explore the following documentation:
+
+- [Getting started guide]({{site.url}}{{site.baseurl}}/getting-started/): 
+  - [Intro to OpenSearch]({{site.url}}{{site.baseurl}}/getting-started/intro/)
+  - [Installation quickstart]({{site.url}}{{site.baseurl}}/getting-started/quickstart/)
+  - [Communicate with OpenSearch]({{site.url}}{{site.baseurl}}/getting-started/communicate/)
+  - [Ingest data]({{site.url}}{{site.baseurl}}/getting-started/ingest-data/)
+  - [Search data]({{site.url}}{{site.baseurl}}/getting-started/search-data/)
+  - [Getting started with OpenSearch security]({{site.url}}{{site.baseurl}}/getting-started/security/)
 - [Install OpenSearch]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/index/)
 - [Install OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/index/)
-- [See the FAQ](https://opensearch.org/faq)
+- [FAQ](https://opensearch.org/faq)
 
 ## Why use OpenSearch?
 
-With OpenSearch, you can perform the following use cases:
-
 <table style="table-layout: auto ; width: 100%;">
 <tbody>
 <tr style="text-align: center; vertical-align:center;">
@@ -41,35 +46,38 @@ With OpenSearch, you can perform the following use cases:
 <td><img src="{{site.url}}{{site.baseurl}}/images/4_tracking.png" class="no-border" alt="Operational health tracking" height="100"/></td>
 </tr>
 <tr style="text-align: left; vertical-align:top; font-weight: bold; color: rgb(0,59,92)">
-<td>Fast, Scalable Full-text Search</td>
-<td>Application and Infrastructure Monitoring</td>
-<td>Security and Event Information Management</td>
-<td>Operational Health Tracking</td>
+<td>Fast, scalable full-text search</td>
+<td>Application and infrastructure monitoring</td>
+<td>Security and event information management</td>
+<td>Operational health tracking</td>
 </tr>
 <tr style="text-align: left; vertical-align:top;">
 <td>Help users find the right information within your application, website, or data lake catalog. </td>
-<td>Easily store and analyze log data, and set automated alerts for underperformance.</td>
+<td>Easily store and analyze log data, and set automated alerts for performance issues.</td>
 <td>Centralize logs to enable real-time security monitoring and forensic analysis.</td>
-<td>Use observability logs, metrics, and traces to monitor your applications and business in real time.</td>
+<td>Use observability logs, metrics, and traces to monitor your applications in real time.</td>
 </tr>
 </tbody>
 </table>
 
-**Additional features and plugins:**
+## Key features
+
+OpenSearch provides several features to help index, secure, monitor, and analyze your data:
 
-OpenSearch has several features and plugins to help index, secure, monitor, and analyze your data. Most OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
-- [Anomaly detection]({{site.url}}{{site.baseurl}}/monitoring-plugins/ad/) - Identify atypical data and receive automatic notifications
-- [KNN]({{site.url}}{{site.baseurl}}/search-plugins/knn/) - Find “nearest neighbors” in your vector data
-- [Performance Analyzer]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/) - Monitor and optimize your cluster
-- [SQL]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) - Use SQL or a piped processing language to query your data
-- [Index State Management]({{site.url}}{{site.baseurl}}/im-plugin/) - Automate index operations
-- [ML Commons plugin]({{site.url}}{{site.baseurl}}/ml-commons-plugin/index/) - Train and execute machine-learning models
-- [Asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/) - Run search requests in the background
-- [Cross-cluster replication]({{site.url}}{{site.baseurl}}/replication-plugin/index/) - Replicate your data across multiple OpenSearch clusters
+- [Anomaly detection]({{site.url}}{{site.baseurl}}/monitoring-plugins/ad/) -- Identify atypical data and receive automatic notifications.
+- [SQL]({{site.url}}{{site.baseurl}}/search-plugins/sql/index/) -- Use SQL or a Piped Processing Language (PPL) to query your data.
+- [Index State Management]({{site.url}}{{site.baseurl}}/im-plugin/) -- Automate index operations.
+- [Search methods]({{site.url}}{{site.baseurl}}/search-plugins/knn/) -- From traditional lexical search to advanced vector and hybrid search, discover the optimal search method for your use case.
+- [Machine learning]({{site.url}}{{site.baseurl}}/ml-commons-plugin/index/) -- Integrate machine learning models into your workloads.
+- [Workflow automation]({{site.url}}{{site.baseurl}}/automating-configurations/index/) -- Automate complex OpenSearch setup and preprocessing tasks.
+- [Performance evaluation]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/) -- Monitor and optimize your cluster.
+- [Asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/) -- Run search requests in the background.
+- [Cross-cluster replication]({{site.url}}{{site.baseurl}}/replication-plugin/index/) -- Replicate your data across multiple OpenSearch clusters.
 
 
 ## The secure path forward
-OpenSearch includes a demo configuration so that you can get up and running quickly, but before using OpenSearch in a production environment, you must [configure the Security plugin manually]({{site.url}}{{site.baseurl}}/security/configuration/index/) with your own certificates, authentication method, users, and passwords.
+
+OpenSearch includes a demo configuration so that you can get up and running quickly, but before using OpenSearch in a production environment, you must [configure the Security plugin manually]({{site.url}}{{site.baseurl}}/security/configuration/index/) with your own certificates, authentication method, users, and passwords. To get started, see [Getting started with OpenSearch security]({{site.url}}{{site.baseurl}}/getting-started/security/).
 
 ## Looking for the Javadoc?
 
diff --git a/_getting-started/intro.md b/_getting-started/intro.md
index edd178a23f..f5eb24ba2b 100644
--- a/_getting-started/intro.md
+++ b/_getting-started/intro.md
@@ -56,6 +56,7 @@ ID | Name | GPA | Graduation year
 1 | John Doe | 3.89 | 2022
 2 | Jonathan Powers | 3.85 | 2025
 3 | Jane Doe | 3.52 | 2024
+... | | |
 
 ## Clusters and nodes
 
diff --git a/_ml-commons-plugin/index.md b/_ml-commons-plugin/index.md
index f0355b6be3..50d637379e 100644
--- a/_ml-commons-plugin/index.md
+++ b/_ml-commons-plugin/index.md
@@ -32,6 +32,10 @@ ML Commons supports various algorithms to help train ML models and make predicti
 
 ML Commons provides its own set of REST APIs. For more information, see [ML Commons API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/index/). 
 
+## ML-powered search
+
+For information about available ML-powered search types, see [ML-powered search]({{site.url}}{{site.baseurl}}/search-plugins/index/#ml-powered-search).
+
 ## Tutorials
 
 Using the OpenSearch ML framework, you can build various applications, from implementing conversational search to building your own chatbot. For more information, see [Tutorials]({{site.url}}{{site.baseurl}}/ml-commons-plugin/tutorials/index/).
\ No newline at end of file
diff --git a/_search-plugins/index.md b/_search-plugins/index.md
index 79e0e715d0..3604245f11 100644
--- a/_search-plugins/index.md
+++ b/_search-plugins/index.md
@@ -16,29 +16,31 @@ OpenSearch provides many features for customizing your search use cases and impr
 
 ## Search methods
 
-OpenSearch supports the following search methods:
+OpenSearch supports the following search methods.
 
-- **Traditional lexical search**
+### Traditional lexical search
 
-    - [Keyword (BM25) search]({{site.url}}{{site.baseurl}}/search-plugins/keyword-search/): Searches the document corpus for words that appear in the query.
+OpenSearch supports [keyword (BM25) search]({{site.url}}{{site.baseurl}}/search-plugins/keyword-search/), which searches the document corpus for words that appear in the query.
 
-- **Machine learning (ML)-powered search**
+### ML-powered search
 
-    - **Vector search**
+OpenSearch supports the following machine learning (ML)-powered search methods:
 
-        - [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/): Searches for k-nearest neighbors to a search term across an index of vectors.
+- **Vector search**
 
-    - **Neural search**: [Neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/) facilitates generating vector embeddings at ingestion time and searching them at search time. Neural search lets you integrate ML models into your search and serves as a framework for implementing other search methods. The following search methods are built on top of neural search:
+    - [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/): Searches for the k-nearest neighbors to a search term across an index of vectors.
 
-        - [Semantic search]({{site.url}}{{site.baseurl}}/search-plugins/semantic-search/): Considers the meaning of the words in the search context. Uses dense retrieval based on text embedding models to search text data. 
+- **Neural search**: [Neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/) facilitates generating vector embeddings at ingestion time and searching them at search time. Neural search lets you integrate ML models into your search and serves as a framework for implementing other search methods. The following search methods are built on top of neural search:
 
-        - [Multimodal search]({{site.url}}{{site.baseurl}}/search-plugins/multimodal-search/): Uses multimodal embedding models to search text and image data. 
+    - [Semantic search]({{site.url}}{{site.baseurl}}/search-plugins/semantic-search/): Considers the meaning of the words in the search context. Uses dense retrieval based on text embedding models to search text data. 
 
-        - [Neural sparse search]({{site.url}}{{site.baseurl}}/search-plugins/neural-sparse-search/): Uses sparse retrieval based on sparse embedding models to search text data.
+    - [Multimodal search]({{site.url}}{{site.baseurl}}/search-plugins/multimodal-search/): Uses multimodal embedding models to search text and image data. 
 
-        - [Hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/): Combines traditional search and vector search to improve search relevance.
+    - [Neural sparse search]({{site.url}}{{site.baseurl}}/search-plugins/neural-sparse-search/): Uses sparse retrieval based on sparse embedding models to search text data.
 
-        - [Conversational search]({{site.url}}{{site.baseurl}}/search-plugins/conversational-search/): Implements a retrieval-augmented generative search. 
+    - [Hybrid search]({{site.url}}{{site.baseurl}}/search-plugins/hybrid-search/): Combines traditional search and vector search to improve search relevance.
+
+    - [Conversational search]({{site.url}}{{site.baseurl}}/search-plugins/conversational-search/): Implements a retrieval-augmented generative search. 
 
 ## Query languages