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modules/howtos/pages/vector-searching-with-sdk.adoc

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@@ -108,7 +108,7 @@ include::devguide:example$java/Search.java[tag=vector1,indent=0]
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Let's break this down.
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We create a `SearchRequest`, which can contain a traditional search query `SearchQuery` and/or the new `VectorSearch`.
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We create a `SearchRequest`, which can contain a traditional s Search query `SearchQuery` and/or the new `VectorSearch`.
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Here we are just using the latter.
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The `VectorSearch` allows us to perform one or more `VectorQuery` s.
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(Note that Couchbase itself is not involved in generating the vectors, and these will come from an external source such as an embeddings API.)
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Finally we execute the `SearchRequest` against the search index "travel-sample-index", which has previously been setup to vector index the "vector_field" field.
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Finally we execute the `SearchRequest` against the Search index "travel-sample-index", which has previously been setup to vector index the "vector_field" field.
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This happens to be a scoped index so we are using `scope.search()`.
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If it was a global index we would use `cluster.search()` instead - see <<Scoped vs Global Indexes>>.
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==== Combining Search and Vector Queries
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You can combine a traditional search query with vector queries:
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You can combine a traditional Search query with vector queries:
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[source,java]
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==== Search Queries
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And note that traditional search queries, without vector search, are also supported with the new `cluster.search()` / `scope.search()` APIs:
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And note that traditional Search queries, without Vector Search, are also supported with the new `cluster.search()` / `scope.search()` APIs:
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[source,java]
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include::devguide:example$java/Search.java[tag=vector4,indent=0]

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