chore: fixes PR issues regarding vector normalization and cognee graph

cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py

@@ -146,8 +146,7 @@ class LanceDBAdapter(VectorDBInterface):
             self,
             collection_name: str,
             query_text: str = None,
-            query_vector: List[float] = None,
-            with_vector: bool = False
+            query_vector: List[float] = None
     ):
         if query_text is None and query_vector is None:
             raise ValueError("One of query_text or query_vector must be provided!")

cognee/infrastructure/databases/vector/utils.py

@@ -2,17 +2,7 @@ from typing import List
 
 
 def normalize_distances(result_values: List[dict]) -> List[float]:
-    min_value = 100
-    max_value = 0
 
-    for result in result_values:
-        value = float(result["_distance"])
-        if value > max_value:
-            max_value = value
-        if value < min_value:
-            min_value = value
-
-    normalized_values = []
     min_value = min(result["_distance"] for result in result_values)
     max_value = max(result["_distance"] for result in result_values)
 

cognee/modules/graph/cognee_graph/CogneeGraph.py

@@ -158,7 +158,7 @@ class CogneeGraph(CogneeAbstractGraph):
             print(f"Error mapping vector distances to edges: {ex}")
 
 
-    async def calculate_top_triplet_importances(self, k = int) -> List:
+    async def calculate_top_triplet_importances(self, k: int) -> List:
         min_heap = []
         for i, edge in enumerate(self.edges):
             source_node = self.get_node(edge.node1.id)