misc edits

Author: HeidiSteen

articles/search/search-get-started-rag.md

@@ -89,40 +89,40 @@ We recommend the hotels-sample-index, which can be created in minutes and runs o
 
 1. Select **Edit JSON**. 
 
-1. Search for "semantic" to find the section in the index for a semantic configuration. Replace the "semantic" line with the following semantic configuration. This example specifies a `"defaultConfiguration"`, which is important to the running of this quickstart.
+1. Search for "semantic" to find the section in the index for a semantic configuration. Replace the empty `"semantic": {}` line with the following semantic configuration. This example specifies a `"defaultConfiguration"`, which is important to the running of this quickstart.
 
     ```json
-    "semantic": {
-    "defaultConfiguration": "semantic-config",
-    "configurations": [
-        {
-        "name": "semantic-config",
-        "prioritizedFields": {
-            "titleField": {
-            "fieldName": "HotelName"
-            },
-            "prioritizedContentFields": [
-            {
-                "fieldName": "Description"
-            }
-            ],
-            "prioritizedKeywordsFields": [
-            {
-                "fieldName": "Category"
-            },
-            {
-                "fieldName": "Tags"
-            }
-            ]
-        }
-      }
-    ]
+    "semantic":{
+       "defaultConfiguration":"semantic-config",
+       "configurations":[
+          {
+             "name":"semantic-config",
+             "prioritizedFields":{
+                "titleField":{
+                   "fieldName":"HotelName"
+                },
+                "prioritizedContentFields":[
+                   {
+                      "fieldName":"Description"
+                   }
+                ],
+                "prioritizedKeywordsFields":[
+                   {
+                      "fieldName":"Category"
+                   },
+                   {
+                      "fieldName":"Tags"
+                   }
+                ]
+             }
+          }
+       ]
     },
     ```
 
 1. **Save** your changes.
 
-1. Run the following query to test your index: `hotels near the ocean with beach access and good views`.
+1. Run the following query in [Search Explorer](search-explorer.md) to test your index: `hotels near the ocean with beach access and good views`.
 
    Output should look similar to the following example. Results that are returned directly from the search engine consist of fields and their verbatim values, along with metadata like a search score and a semantic ranking score and caption if you use semantic ranking.
 

articles/search/search-what-is-azure-search.md

@@ -20,6 +20,7 @@ Information retrieval is foundational to any app that surfaces text and vectors.
 + A search engine for [vector search](vector-search-overview.md) and [full text](search-lucene-query-architecture.md) and [hybrid search](hybrid-search-overview.md) over a search index 
 + Rich indexing with [integrated data chunking and vectorization](vector-search-integrated-vectorization.md), [lexical analysis](search-analyzers.md) for text, and [optional applied AI](cognitive-search-concept-intro.md) for content extraction and transformation
 + Rich query syntax for [vector queries](vector-search-how-to-query.md), text search, [hybrid queries](hybrid-search-how-to-query.md), fuzzy search, autocomplete, geo-search and others
++ Relevance tuning with [semantic ranking](semantic-search-overview.md), [scoring profiles](index-add-scoring-profiles.md), and parameters for controlling query behaviors at runtime 
 + Azure scale, security, and reach
 + Azure integration at the data layer, machine learning layer, Azure AI services and Azure OpenAI
 

articles/search/whats-new.md

@@ -23,7 +23,7 @@ ms.custom:
 
 | Item                         | Type |  Description |
 |-----------------------------|------|--------------|
-| [**Debug session improvements**](cognitive-search-debug-session.md) | feature | There are two important improvements. First, you can now debug integrated vectorization and data chunking workloads. Second, debug sessions has been modified to use a simpler, horizontal layout for skills processing. You can select an object in the flow, and view its details off to the side. The previous tabbed layout is fully replaced with more context-sensitive information on the page. |
+| [**Debug session improvements**](cognitive-search-debug-session.md) | feature | There are two important improvements. First, you can now debug integrated vectorization and data chunking workloads. Second, debug sessions is redesigned for a more streamlined presentation of skills and mappings. You can select an object in the flow, and view or edit its details off to the side. The previous tabbed layout is fully replaced with more context-sensitive information on the page. |
 | [**2024-07-01**](/rest/api/searchservice/search-service-api-versions?view=rest-searchservice-2024-07-01&preserve-view=true) | API | Stable release of REST APIs for generally available vector data types, vector compression, and integrated vectorization during indexing and queries. |
 | [**Integrated vectorization**](vector-search-integrated-vectorization.md) | Feature | Announcing general availability. Skills-driven data chunking and embedding during indexing. |
 | [**Vectorizers**](vector-search-how-to-configure-vectorizer.md) | Feature  | Announcing general availability. Text-to-vector conversion during query execution. Both [Azure OpenAI vectorizer](vector-search-vectorizer-azure-open-ai.md) and [custom Web API vectorizer](vector-search-vectorizer-custom-web-api.md) are generally available. |