Upper case!

Author: RichardSmedley

modules/howtos/pages/full-text-searching-with-sdk.adoc

@@ -1,12 +1,12 @@
 = Search
-:description: You can use the Search Service to create queryable search indexes in Couchbase Server.
+:description: You can use the Search Service to create queryable Search indexes in Couchbase Server.
 :page-toclevels: 2
 :page-aliases: ROOT:search-query.adoc, ROOT:full-text-searching-with-sdk.adoc
 
 [abstract]
 {description}
 
-The Search Service allows you to create, manage and query search indexes on JSON documents stored in Couchbase buckets.
+The Search Service allows you to create, manage and query Search indexes on JSON documents stored in Couchbase buckets.
 It uses natural language processing for indexing and querying documents, provides relevance scoring on the results of your queries and has fast indexes for querying a wide range of possible text searches.
 
 Some of the supported query-types include simple queries like Match and Term queries, range queries like Date Range and Numeric Range and compound queries for conjunctions, disjunctions and/or boolean queries.
@@ -20,10 +20,10 @@ After familiarizing yourself with how to create and query a Search index in the
 There are two APIs for querying search: `cluster.searchQuery()`, and `cluster.search()`.
 Both are also available at the Scope level.
 
-The former API supports search queries (`SearchQuery`), while the latter additionally supports the `VectorSearch` added in 7.6.
+The former API supports Search queries (`SearchQuery`), while the latter additionally supports the `VectorSearch` added in 7.6.
 Most of this documentation will focus on the former API, as the latter is in @Stability.Volatile status.
 
-We will perform a search query here - see the xref:vector-searching-with-sdk.adoc[Vector Search] docs for examples of Vector and xref:vector-searching-with-sdk.adoc#combining-fts-and-vector-queries[combining Vector and Search queries].
+We will perform a Search query here -- see the xref:vector-searching-with-sdk.adoc[Vector Search] docs for examples of Vector and xref:vector-searching-with-sdk.adoc#combining-fts-and-vector-queries[combining Vector and Search queries].
 
 [source,java]
 ----
@@ -99,7 +99,7 @@ The `SearchRow` contains the following methods:
 .SearchRow
 [options="header"]
 |====
-| `index()` | The name of the search index that gave this result.
+| `index()` | The name of the Search index that gave this result.
 | `id()` | The id of the matching document.
 | `score()` | The score of this hit.
 | `explanation()` | If enabled provides an explanation in JSON form.
@@ -137,7 +137,7 @@ include::devguide:example$java/Search.java[tag=vector1,indent=0]
 ----
 
 Let's break this down.
-We create a `SearchRequest`, which can contain a traditional search query `SearchQuery` and/or the new `VectorSearch`.
+We create a `SearchRequest`, which can contain a traditional Search query `SearchQuery` and/or the new `VectorSearch`.
 Here we are just using the latter.
 
 The `VectorSearch` allows us to perform one or more `VectorQuery` s.
@@ -146,7 +146,7 @@ The `VectorQuery` itself takes the name of the document field that contains embe
 
 (Note that Couchbase itself is not involved in generating the vectors, and these will come from an external source such as an embeddings API.)
 
-Finally we execute the `SearchRequest` against the search index "travel-sample-index", which has previously been setup to vector index the "vector_field" field.
+Finally we execute the `SearchRequest` against the Search index "travel-sample-index", which has previously been setup to vector index the "vector_field" field.
 
 This happens to be a scoped index so we are using `scope.search()`.
 If it was a global index we would use `cluster.search()` instead - see <<Scoped vs Global Indexes>>.
@@ -164,7 +164,8 @@ include::devguide:example$java/Search.java[tag=vector3,indent=0]
 How the results are combined (ANDed or ORed) can be controlled with `vectorSearchOptions().vectorQueryCombination()`.
 
 ==== Combining Search and Vector Queries
-You can combine a traditional search query with vector queries:
+
+You can combine a traditional Search query with vector queries:
 
 [source,java]
 ----
@@ -175,7 +176,7 @@ How the results are combined (ANDed or ORed) can be controlled with `vectorSearc
 ////
 
 // ==== Search queries
-// And note that traditional search queries, without vector search, are also supported with the new `cluster.search()` / `scope.search()` APIs:
+// And note that traditional Search queries, without Vector Search, are also supported with the new `cluster.search()` / `scope.search()` APIs:
 
 [source,java]
 ----