Update text embedding CSV dataset to use dense_vector_text dataset.

Author: afoucret

x-pack/plugin/esql/qa/testFixtures/src/main/resources/text-embedding.csv-spec

@@ -26,44 +26,42 @@ Who is Victor Hugo? | [56.0, 50.0, 48.0]
 ;
 
 
-text_embedding with knn on semantic_text_dense_field
+text_embedding with knn on dense vector field
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type_released
 required_capability: knn_function_v5
-required_capability: semantic_text_field_caps
 
 // tag::text-embedding-knn[]
-FROM semantic_text METADATA _score
+FROM dense_vector_text METADATA _score
 | EVAL query_embedding = TEXT_EMBEDDING("be excellent to each other", "test_dense_inference")
-| WHERE KNN(semantic_text_dense_field, query_embedding)
+| WHERE KNN(text_embedding_field, query_embedding)
 // end::text-embedding-knn[]
 | SORT _score DESC
 | LIMIT 10
-| KEEP semantic_text_field, query_embedding
+| KEEP text_field, query_embedding
 ;
 
-semantic_text_field:text                                              | query_embedding:dense_vector
+text_field:text                                                      | query_embedding:dense_vector
 be excellent to each other                                            | [45.0, 55.0, 54.0]          
 live long and prosper                                                 | [45.0, 55.0, 54.0]          
 all we have to decide is what to do with the time that is given to us | [45.0, 55.0, 54.0]          
 ;
 
-text_embedding with knn (inline) on semantic_text_dense_field
+text_embedding with knn (inline) on dense vector field
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type_released
 required_capability: knn_function_v5
-required_capability: semantic_text_field_caps
 
 // tag::text-embedding-knn-inline[]
-FROM semantic_text METADATA _score
-| WHERE KNN(semantic_text_dense_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference"))
+FROM dense_vector_text METADATA _score
+| WHERE KNN(text_embedding_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference"))
 // end::text-embedding-knn-inline[]
 | SORT _score DESC
 | LIMIT 10
-| KEEP semantic_text_field
+| KEEP text_field
 ;
 
-semantic_text_field:text                                             
+text_field:text                            
 be excellent to each other                                           
 live long and prosper                                                
 all we have to decide is what to do with the time that is given to us
@@ -73,17 +71,15 @@ text_embedding with multiple knn queries
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type_released
 required_capability: knn_function_v5
-required_capability: fork_v9
-required_capability: semantic_text_field_caps
 
-FROM semantic_text METADATA _score, _id
-| WHERE KNN(semantic_text_dense_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference")) OR KNN(semantic_text_dense_field, TEXT_EMBEDDING("live long and prosper", "test_dense_inference")) 
+FROM dense_vector_text METADATA _score, _id
+| WHERE KNN(text_embedding_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference")) OR KNN(text_embedding_field, TEXT_EMBEDDING("live long and prosper", "test_dense_inference")) 
 | SORT _score DESC, _id
 | LIMIT 10
-| KEEP semantic_text_field
+| KEEP text_field
 ;
 
-semantic_text_field:text                                             
+text_field:text                                             
 live long and prosper
 be excellent to each other
 all we have to decide is what to do with the time that is given to us                  
@@ -94,17 +90,16 @@ required_capability: text_embedding_function
 required_capability: dense_vector_field_type_released
 required_capability: knn_function_v5
 required_capability: fork_v9
-required_capability: semantic_text_field_caps
 
-FROM semantic_text METADATA _score
-| FORK (EVAL query_embedding = TEXT_EMBEDDING("be excellent to each other", "test_dense_inference") | WHERE KNN(semantic_text_dense_field, query_embedding))
-       (EVAL query_embedding = TEXT_EMBEDDING("live long and prosper", "test_dense_inference") | WHERE KNN(semantic_text_dense_field, query_embedding))
+FROM dense_vector_text METADATA _score
+| FORK (EVAL query_embedding = TEXT_EMBEDDING("be excellent to each other", "test_dense_inference") | WHERE KNN(text_embedding_field, query_embedding))
+       (EVAL query_embedding = TEXT_EMBEDDING("live long and prosper", "test_dense_inference") | WHERE KNN(text_embedding_field, query_embedding))
 | SORT _score DESC, _fork ASC
 | LIMIT 10
-| KEEP semantic_text_field, query_embedding, _fork
+| KEEP text_field, query_embedding, _fork
 ;
 
-semantic_text_field:text                                              | query_embedding:dense_vector | _fork:keyword
+text_field:text                                                       | query_embedding:dense_vector | _fork:keyword
 be excellent to each other                                            | [45.0, 55.0, 54.0]           | fork1        
 live long and prosper                                                 | [50.0, 57.0, 56.0]           | fork2        
 live long and prosper                                                 | [45.0, 55.0, 54.0]           | fork1