[ES|QL] Enable the TEXT_EMBEDDING function in non-snapshot build (#136103)

* Enable text_embedding function in non-snapshot builds.

* Regenerate documentation for the TEXT_EMBEDDING function.

* Clean useless conditional in tests.

* Lint

* Update docs/changelog/136103.yaml

* Update usage to make sure text_embedding function is present in non-snapshot builds.

* Add text_embedding to the doc.

* Fix typo.

* Fix typo again ...

* Update examples.

* Fix typo in code.

* Fix typo

* Improved doc for the TEXT_EMBEDDING function

* Add missing link in the doc.

* Apply changes from review.

* Restore missing examples.

* Update examples descriptions.

* Few additional doc rework.

Author: afoucret

docs/changelog/136103.yaml

@@ -0,0 +1,5 @@
+pr: 136103
+summary: Enable the TEXT_EMBEDDING function in non-snapshot build
+area: ES|QL
+type: feature
+issues: []

docs/reference/query-languages/esql/_snippets/functions/description/text_embedding.md

@@ -1,4 +1,5 @@
 * {applies_to}`stack: preview 9.2` {applies_to}`serverless: preview` [`KNN`](../../functions-operators/dense-vector-functions.md#esql-knn)
+* {applies_to}`stack: preview 9.3` {applies_to}`serverless: preview` [`TEXT_EMBEDDING`](../../functions-operators/dense-vector-functions.md#esql-text_embedding)
 
 % * {applies_to}`stack: preview 9.3` {applies_to}`serverless: preview` [`V_COSINE`](../../functions-operators/dense-vector-functions.md#esql-v_cosine)
 % * {applies_to}`stack: preview 9.3` {applies_to}`serverless: preview` [`V_DOT_PRODUCT`](../../functions-operators/dense-vector-functions.md#esql-v_dot_product)

docs/reference/query-languages/esql/_snippets/functions/examples/text_embedding.md

@@ -23,6 +23,9 @@ and require appropriate field mappings.
 :::{include} ../_snippets/functions/layout/knn.md
 :::
 
+:::{include} ../_snippets/functions/layout/text_embedding.md
+:::
+
 % V_COSINE is currently a hidden feature
 % To make it visible again, uncomment this and the line in
 % lists/dense-vector-functions.md

docs/reference/query-languages/esql/_snippets/functions/layout/text_embedding.md

@@ -2,11 +2,11 @@ text_embedding using a row source operator
 required_capability: text_embedding_function
 required_capability: dense_vector_field_type_released
 
-// tag::embedding-eval[]
+// tag::text-embedding-eval[]
 ROW input="Who is Victor Hugo?"
 | EVAL embedding = TEXT_EMBEDDING("Who is Victor Hugo?", "test_dense_inference")
+// end::text-embedding-eval[]
 ;
-// end::embedding-eval[]
 
 input:keyword       | embedding:dense_vector
 Who is Victor Hugo? | [56.0, 50.0, 48.0]
@@ -32,9 +32,11 @@ 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
 | EVAL query_embedding = TEXT_EMBEDDING("be excellent to each other", "test_dense_inference")
 | WHERE KNN(semantic_text_dense_field, query_embedding)
+// end::text-embedding-knn[]
 | SORT _score DESC
 | LIMIT 10
 | KEEP semantic_text_field, query_embedding
@@ -52,8 +54,10 @@ 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"))
+// end::text-embedding-knn-inline[]
 | SORT _score DESC
 | LIMIT 10
 | KEEP semantic_text_field