diff --git a/products/tests.py b/products/tests.py
index f503677..116ee6f 100644
--- a/products/tests.py
+++ b/products/tests.py
@@ -567,6 +567,7 @@ class ProductSearchTest(TestCase):
         self.assertIsNotNone(payload.get('prices'))
 
         # check for object creation
+        import ipdb; ipdb.set_trace()
         self.assertEquals(len(payload['products']), len(expected_instances))
         # check for filters
         self.assertTrue(len(payload['filters']['tags']) >= 2 )
diff --git a/products/utils.py b/products/utils.py
index 1672dc5..0e44815 100644
--- a/products/utils.py
+++ b/products/utils.py
@@ -144,7 +144,12 @@ def ranked_product_search(keyword, shipping_cost=None, discount=None, category=N
     - georesult
     """
     vector = SearchVector('name') + SearchVector('description') + SearchVector('tags__label') + SearchVector('attributes__label') + SearchVector('category__label') + SearchVector('company__company_name')
-    query = SearchQuery(keyword)
+
+    query_string = ''
+    for word in keyword:
+        query_string += f" | '{keyword}' "
+
+    query = SearchQuery(query_string)
 
     products_qs = Product.objects.annotate(
         rank=SearchRank(vector, query)
diff --git a/products/views.py b/products/views.py
index 6604381..9c46557 100644
--- a/products/views.py
+++ b/products/views.py
@@ -201,6 +201,20 @@ def product_search(request):
         else:
             # split query string into single words
             chunks = q.split(' ')
+            # all-in-one search
+            product_set, min_price, max_price, georesult  = ranked_product_search(chunks, shipping_cost, discount, category, tags, price_min, price_max, coordinates)
+            # update price values
+            if product_set:
+                if prices['min'] is None or min_price['price__min'] < prices['min']:
+                    prices['min'] = min_price['price__min']
+                if prices['max'] is None or max_price['price__max'] > prices['max']:
+                    prices['max'] = max_price['price__max']
+                # add to result set
+                result_set.update(product_set)
+            # serialize and list data
+            serializer = SearchResultSerializer(product_set, many=True)
+            result_list = [dict(i) for i in serializer.data]
+            '''
             for chunk in chunks:
                 product_set, min_price, max_price, georesult  = ranked_product_search(chunk, shipping_cost, discount, category, tags, price_min, price_max, coordinates)
                 # update price values
@@ -214,6 +228,7 @@ def product_search(request):
             # serialize and list data
             serializer = SearchResultSerializer(product_set, many=True)
             result_list = [dict(i) for i in serializer.data]
+            '''
 
         # extract filters from result_set
         filters = extract_search_filters(result_set)