Support for hybrid search in Azure AI vector store (#2408)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

tests/vector_stores/test_elasticsearch.py

@@ -196,8 +196,8 @@ class TestElasticsearchDB(unittest.TestCase):
         self.client_mock.search.return_value = mock_response
 
         # Perform search
-        query_vector = [0.1] * 1536
-        results = self.es_db.search(query=query_vector, limit=5)
+        vectors = [[0.1] * 1536]
+        results = self.es_db.search(query="", vectors=vectors, limit=5)
 
         # Verify search call
         self.client_mock.search.assert_called_once()
@@ -210,7 +210,7 @@ class TestElasticsearchDB(unittest.TestCase):
         # Verify KNN query structure
         self.assertIn("knn", body)
         self.assertEqual(body["knn"]["field"], "vector")
-        self.assertEqual(body["knn"]["query_vector"], query_vector)
+        self.assertEqual(body["knn"]["query_vector"], vectors)
         self.assertEqual(body["knn"]["k"], 5)
         self.assertEqual(body["knn"]["num_candidates"], 10)
 
@@ -226,13 +226,13 @@ class TestElasticsearchDB(unittest.TestCase):
         self.es_db.custom_search_query.return_value = {"custom_key": "custom_value"}
 
         # Perform search
-        query_vector = [0.1] * 1536
+        vectors = [[0.1] * 1536]
         limit = 5
         filters = {"key1": "value1"}
-        self.es_db.search(query=query_vector, limit=limit, filters=filters)
+        self.es_db.search(query="", vectors=vectors, limit=limit, filters=filters)
 
         # Verify custom search query function was called
-        self.es_db.custom_search_query.assert_called_once_with(query_vector, limit, filters)
+        self.es_db.custom_search_query.assert_called_once_with(vectors, limit, filters)
 
         # Verify custom search query was used
         self.client_mock.search.assert_called_once_with(index=self.es_db.collection_name, body={"custom_key": "custom_value"})