azureaisearch: prefer using hybrid_top_k over similarity_top_k for hybrid search (#17612)

Author: wuxu92

llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py

@@ -1567,7 +1567,8 @@ def _create_query_vector(self) -> Optional[List[Any]]:
 
         vectorized_query = VectorizedQuery(
             vector=self._query.query_embedding,
-            k_nearest_neighbors=self._query.similarity_top_k,
+            k_nearest_neighbors=self._query.hybrid_top_k
+            or self._query.similarity_top_k,
             fields=self._field_mapping["embedding"],
         )
         vector_queries = [vectorized_query]

llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml

@@ -28,7 +28,7 @@ exclude = ["**/BUILD"]
 license = "MIT"
 name = "llama-index-vector-stores-azureaisearch"
 readme = "README.md"
-version = "0.3.4"
+version = "0.3.5"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"