DOC-13644: [Capella] Vector-index sample bucket

modules/n1ql/pages/n1ql-language-reference/altervectorindex.adoc

@@ -58,9 +58,9 @@ To try the examples in this section, you must do the following:
 The examples in this section assume that the 3 nodes have the names `svc-dqi-node-001`, `svc-dqi-node-002`, and `svc-dqi-node-003`.
 The nodes in your cluster may have different names or IP addresses.
 
-. Install the vector sample data as described in {prerequisites}[Prerequisites].
+. Install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 
-. Set the query context to the `color` scope in the vector sample dataset.
+. Set the query context to the `color` scope in the `color-vector-sample` dataset.
 For more information, see xref:n1ql:n1ql-intro/queriesandresults.adoc#query-context[Query Context].
 
 .Create and move an index from one node to another

modules/n1ql/pages/n1ql-language-reference/createindex.adoc

@@ -722,7 +722,7 @@ For more examples of indexes where the leading key may be missing, see xref:n1ql
 [[ex-create-rgb-idx]]
 .Create a Composite Vector index
 ====
-For this example, you must install the vector sample data as described in {prerequisites}[Prerequisites].
+For this example, you must install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 The path to the required keyspace is specified by the query, so you do not need to set the query context.
 
 Create a Composite Vector index that indexes the vector field named `colorvect_l2`, as well as the scalar `color` and `brightness` fields.
@@ -736,7 +736,7 @@ include::vector-index:example$gsi-vector-idx-examples.sqlpp[tag=create-rgb-idx]
 [[ex-create-vectors-idx]]
 .Create a Composite Vector index using embedded vectors
 ====
-For this example, you must install the vector sample data as described in {prerequisites}[Prerequisites].
+For this example, you must install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 The path to the required keyspace is specified by the query, so you do not need to set the query context.
 
 Create a Composite Vector index that indexes the vector field named `embedding-vector-dot`, as well as the scalar `color` and `brightness` fields.
@@ -750,7 +750,7 @@ include::vector-index:example$gsi-vector-idx-examples.sqlpp[tag=create-vectors-i
 [[ex-create-colors-idx]]
 .Create a Composite Vector index with a scalar leading key
 ====
-For this example, you must install the vector sample data as described in {prerequisites}[Prerequisites].
+For this example, you must install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 The path to the required keyspace is specified by the query, so you do not need to set the query context.
 
 Create a Composite Vector index that indexes the scalar `color` and `brightness` fields, as well as the vector field named `embedding-vector-dot`.

modules/n1ql/pages/n1ql-language-reference/createvectorindex.adoc

@@ -175,7 +175,7 @@ include::createindex.adoc[tags=defer-index-builds-by-default]
 
 == Examples
 
-To try the examples in this section, you must install the vector sample data as described in {prerequisites}[Prerequisites].
+To try the examples in this section, you must install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 
 [[ex-create-rgb-idx]]
 .Create a Hyperscale Vector index

modules/n1ql/pages/n1ql-language-reference/dropvectorindex.adoc

@@ -49,7 +49,7 @@ include::dropindex.adoc[tags=usage]
 
 == Examples
 
-To try the examples in this section, you must install the vector sample data as described in {prerequisites}[Prerequisites].
+To try the examples in this section, you must install the `color-vector-sample` data as described in {prerequisites}[Prerequisites].
 
 [[ex-1]]
 .Drop a Hyperscale Vector index
@@ -62,15 +62,15 @@ Drop the Hyperscale Vector index called `color_desc_hyperscale`, if it exists.
 ----
 DROP VECTOR INDEX `color_desc_hyperscale`
      IF EXISTS
-     ON `vector-sample`.color.rgb
+     ON `color-vector-sample`.color.rgb
 ----
 
 The following command would drop the index in exactly the same way, but uses alternative syntax.
 
 [source,sqlpp]
 ----
 DROP VECTOR INDEX IF EXISTS
-     default:`vector-sample`.color.rgb.`color_desc_hyperscale`
+     default:`color-vector-sample`.color.rgb.`color_desc_hyperscale`
 ----
 ====
 

modules/n1ql/pages/n1ql-language-reference/vectorfun.adoc

@@ -457,7 +457,7 @@ Check whether the specified fields in the `rgb` collection contain vector values
 SELECT ISVECTOR(description, 1, "float32") AS description,
        ISVECTOR(colorvect_l2, 3, "float32") AS colorvect_l2,
        ISVECTOR(embedding_vector_dot, 1536, "float32") AS embedding_vector_dot
-FROM `vector-sample`.color.rgb LIMIT 1;
+FROM `color-vector-sample`.color.rgb LIMIT 1;
 ----
 
 .Results

modules/vector-index/examples/find-reranking-cases.py

@@ -12,14 +12,14 @@
 COUCHBASE_URL = "couchbase://localhost"
 USERNAME = "Administrator"
 PASSWORD = "password"
-BUCKET_NAME = "vector-sample"
+BUCKET_NAME = "color-vector-sample"
 
 # --- Connect to Cluster ---
 cluster = Cluster(COUCHBASE_URL, ClusterOptions(PasswordAuthenticator(USERNAME, PASSWORD)))
 cluster.wait_until_ready(timedelta(seconds=10))
 
 # --- Get all search-color IDs ---
-get_ids_query = "SELECT META().id AS id FROM `vector-sample`.`color`.`rgb`"
+get_ids_query = "SELECT META().id AS id FROM `color-vector-sample`.`color`.`rgb`"
 search_colors = cluster.query(get_ids_query)
 search_color_ids = [row["id"] for row in search_colors]
 
@@ -29,10 +29,10 @@ def run_vector_query(search_color_id, use_rerank=False, limit=10):
     query = f"""
     WITH question_vec AS (
         SELECT RAW couchbase_search_query.knn[0].vector  
-        FROM `vector-sample`.`color`.`rgb-questions` 
+        FROM `color-vector-sample`.`color`.`rgb-questions` 
         WHERE meta().id = "{search_color_id}")
     SELECT b.color, b.description, b.id
-    FROM `vector-sample`.`color`.`rgb` AS b
+    FROM `color-vector-sample`.`color`.`rgb` AS b
     ORDER BY APPROX_VECTOR_DISTANCE(b.embedding_vector_dot, question_vec[0], "l2", 4, {rerank_str})
     LIMIT {limit};
     """

modules/vector-index/examples/gsi-vector-idx-examples.sqlpp

@@ -2,8 +2,8 @@
 SELECT RAW OBJECT_PUT(d, "embedding_vector_dot",
   ARRAY_CONCAT(d.embedding_vector_dot[0:4], ["..."])
 )
-FROM `vector-sample`.`color`.`rgb` AS d
-USE KEYS ["#FFEFD5"];
+FROM `color-vector-sample`.`color`.`rgb` AS d
+USE KEYS ["FFEFD5"];
 /* end::get-sample-doc[] */
 
 /* tag::get-sample-doc-question[] */
@@ -15,25 +15,25 @@ SELECT RAW OBJECT_PUT(d, "couchbase_search_query",
     FOR k IN d.couchbase_search_query.knn END
   )
 )
-FROM `vector-sample`.`color`.`rgb-questions` AS d
+FROM `color-vector-sample`.`color`.`rgb-questions` AS d
 USE KEYS ["#FFEFD5"];
 /* end::get-sample-doc-question[] */
 
 
 /* tag::create-rgb-idx[] */
-CREATE INDEX `color_vectors_idx` ON `vector-sample`.`color`.`rgb`
+CREATE INDEX `color_vectors_idx` ON `color-vector-sample`.`color`.`rgb`
        (`colorvect_l2` VECTOR, color, brightness)
        WITH {  "dimension":3 , "similarity":"L2", "description":"IVF,SQ8"};
 /* end::create-rgb-idx[] */
 
 /* tag::create-vectors-idx[] */
-CREATE INDEX `color_desc_idx` ON `vector-sample`.`color`.`rgb` 
+CREATE INDEX `color_desc_idx` ON `color-vector-sample`.`color`.`rgb` 
      (`embedding_vector_dot` VECTOR, color, brightness) 
      WITH { "dimension":1536, "similarity":"DOT", "description":" IVF,SQ8" }
 /* end::create-vectors-idx[] */
 
 /* tag::create-colors-idx[] */
-CREATE INDEX `color_name_idx` ON `vector-sample`.`color`.`rgb`
+CREATE INDEX `color_name_idx` ON `color-vector-sample`.`color`.`rgb`
      (color, brightness, `embedding_vector_dot` VECTOR)
      WITH { "dimension":1536, "similarity":"DOT", "description":" IVF,SQ8" }
 /* end::create-colors-idx[] */
@@ -54,8 +54,8 @@ LIMIT 5;
 /* tag::query-vectors-idx-subquery[] */
 WITH question_vec AS (
         SELECT RAW couchbase_search_query.knn[0].vector  
-        from `vector-sample`.`color`.`rgb-questions` 
-        WHERE meta().id = "#FFEFD5")
+        from `color-vector-sample`.`color`.`rgb-questions` 
+        USE KEYS "#FFEFD5")
 SELECT b.color, b.description from `rgb` AS b 
 order by APPROX_VECTOR_DISTANCE(b.embedding_vector_dot, 
 question_vec[0], "DOT")  LIMIT 3;
@@ -64,8 +64,8 @@ question_vec[0], "DOT")  LIMIT 3;
 /* tag::query-vectors-idx-subquery-filtered[] */
 WITH question_vec AS (
         SELECT RAW couchbase_search_query.knn[0].vector  
-        from `vector-sample`.`color`.`rgb-questions` 
-        WHERE meta().id = "#FFEFD5")
+        from `color-vector-sample`.`color`.`rgb-questions` 
+        USE KEYS "#FFEFD5")
 SELECT b.color, b.description, b.brightness from `rgb` AS b 
 WHERE b.brightness > 190.0
 order by APPROX_VECTOR_DISTANCE(b.embedding_vector_dot,