Adds Querying semantic_text fields section

Author: kosabogi

docs/reference/elasticsearch/mapping-reference/semantic-text.md

@@ -611,6 +611,21 @@ PUT test-index
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+## Querying `semantic_text` fields [querying-semantic-text-fields]
+
+Querying `semantic_text` fields enables semantic search by matching on meaning rather than just keywords. It’s useful for natural language search, intent-aware retrieval, and cases where keyword matching alone isn’t sufficient.
+
+You can query `semantic_text` fields using the following query types:
+
+- [Match query](/reference/query-languages/query-dsl/query-dsl-match-query.md) - The recommended method for querying `semantic_text` fields. Refer to examples of match queries on `semantic_text` fields.
+
+- [kNN query](/reference/query-languages/query-dsl/query-dsl-knn-query.md) - Finds the nearest vectors to a query vector using a similarity metric, mainly for advanced or combined search use cases. Refer to examples of kNN queries on `semantic_text` fields.
+
+- [Sparse vector query](/reference/query-languages/query-dsl/query-dsl-sparse-vector-query.md) - Executes searches using sparse vectors generated by a sparse retrieval model. Refer to examples of sparse vector queries on `semantic_text` fields.
+
+- [Semantic query](/reference/query-languages/query-dsl/query-dsl-semantic-query.md) - A legacy option that was introduced earlier and is no longer recommended, but it remains supported for existing implementations. Refer to examples of semantic queries on `semantic_text` fields.
+
+
 ## Troubleshooting semantic_text fields [troubleshooting-semantic-text-fields]
 
 If you want to verify that your embeddings look correct, you can view the