More CSV tests 🎉

Author: afoucret

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

@@ -1,4 +1,4 @@
-text_embedding using a ROW source operator
+text_embedding using a row source operator
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type
 
@@ -11,7 +11,7 @@ Who is Victor Hugo? | [56.0, 50.0, 48.0]
 ;
 
 
-text_embedding using a ROW source operator with query build using CONCAT
+text_embedding using a row source operator with query build using CONCAT
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type
 
@@ -22,3 +22,44 @@ ROW input="Who is Victor Hugo?"
 input:keyword       | embedding:dense_vector
 Who is Victor Hugo? | [56.0, 50.0, 48.0]
 ;
+
+
+text_embedding with knn on semantic_text_dense_field
+required_capability: text_embedding_function
+required_capability: dense_vector_field_type
+required_capability: knn_function_v5
+required_capability: semantic_text_field_caps
+
+FROM semantic_text METADATA _score
+| EVAL query_embedding = TEXT_EMBEDDING("be excellent to each other", "test_dense_inference")
+| WHERE KNN(semantic_text_dense_field, query_embedding)
+| KEEP semantic_text_field, query_embedding, _score
+| EVAL _score = ROUND(_score, 4)
+| SORT _score DESC
+| LIMIT 10
+;
+
+semantic_text_field:text                                              | query_embedding:dense_vector | _score:double
+be excellent to each other                                            | [45.0, 55.0, 54.0]           | 1.0
+live long and prosper                                                 | [45.0, 55.0, 54.0]           | 0.0295
+all we have to decide is what to do with the time that is given to us | [45.0, 55.0, 54.0]           | 0.0214
+
+text_embedding with knn (inline) on semantic_text_dense_field
+required_capability: text_embedding_function
+required_capability: dense_vector_field_type
+required_capability: knn_function_v5
+required_capability: semantic_text_field_caps
+
+FROM semantic_text METADATA _score
+| WHERE KNN(semantic_text_dense_field, TEXT_EMBEDDING("be excellent to each other", "test_dense_inference"))
+| KEEP semantic_text_field, _score
+| EVAL _score = ROUND(_score, 4)
+| SORT _score DESC
+| LIMIT 10
+;
+
+semantic_text_field:text                                              | _score:double
+be excellent to each other                                            | 1.0
+live long and prosper                                                 | 0.0295
+all we have to decide is what to do with the time that is given to us | 0.0214
+;