diff --git a/examples/customize/answer/langchain_compatiblity.py b/examples/customize/answer/langchain_compatiblity.py
index 9c8b0e06..d3382849 100644
--- a/examples/customize/answer/langchain_compatiblity.py
+++ b/examples/customize/answer/langchain_compatiblity.py
@@ -30,14 +30,14 @@
     driver,
     index_name=INDEX,
     retrieval_query="WITH node, score RETURN node.title as title, node.plot as plot",
-    embedder=embedder,  # type: ignore
+    embedder=embedder,  # type: ignore[arg-type, unused-ignore]
 )
 
 llm = ChatOpenAI(model="gpt-4o", temperature=0)
 
 rag = GraphRAG(
     retriever=retriever,
-    llm=llm,  # type: ignore
+    llm=llm,  # type: ignore[arg-type, unused-ignore]
 )
 
 result = rag.search("Tell me more about Avatar movies")
diff --git a/src/neo4j_graphrag/experimental/components/resolver.py b/src/neo4j_graphrag/experimental/components/resolver.py
index 4e07a1d6..1dee9e10 100644
--- a/src/neo4j_graphrag/experimental/components/resolver.py
+++ b/src/neo4j_graphrag/experimental/components/resolver.py
@@ -26,7 +26,7 @@ class EntityResolver(Component, abc.ABC):
     """Entity resolution base class
 
     Args:
-        driver (neo4j.driver): The Neo4j driver to connect to the database.
+        driver (neo4j.Driver): The Neo4j driver to connect to the database.
         filter_query (Optional[str]): Cypher query to select the entities to resolve. By default, all nodes with __Entity__ label are used
     """
 
@@ -47,7 +47,7 @@ class SinglePropertyExactMatchResolver(EntityResolver):
     """Resolve entities with same label and exact same property (default is "name").
 
     Args:
-        driver (neo4j.driver): The Neo4j driver to connect to the database.
+        driver (neo4j.Driver): The Neo4j driver to connect to the database.
         filter_query (Optional[str]): To reduce the resolution scope, add a Cypher WHERE clause.
         resolve_property (str): The property that will be compared (default: "name"). If values match exactly, entities are merged.
         neo4j_database (Optional[str]): The name of the Neo4j database to write to. Defaults to 'neo4j' if not provided.
@@ -94,7 +94,7 @@ async def run(self) -> ResolutionStats:
         if self.filter_query:
             match_query += self.filter_query
         stat_query = f"{match_query} RETURN count(entity) as c"
-        records = await execute_query(
+        records, _, _ = await execute_query(
             self.driver,
             stat_query,
             database_=self.database,
@@ -130,7 +130,7 @@ async def run(self) -> ResolutionStats:
             "YIELD node "
             "RETURN count(node) as c "
         )
-        records = await execute_query(
+        records, _, _ = await execute_query(
             self.driver,
             merge_nodes_query,
             database_=self.database,
diff --git a/src/neo4j_graphrag/retrievers/text2cypher.py b/src/neo4j_graphrag/retrievers/text2cypher.py
index 84c3a7a3..2bb2aa69 100644
--- a/src/neo4j_graphrag/retrievers/text2cypher.py
+++ b/src/neo4j_graphrag/retrievers/text2cypher.py
@@ -51,7 +51,7 @@ class Text2CypherRetriever(Retriever):
     then retrieves records from a Neo4j database using the generated Cypher query
 
     Args:
-        driver (neo4j.driver): The Neo4j Python driver.
+        driver (neo4j.Driver): The Neo4j Python driver.
         llm (neo4j_graphrag.generation.llm.LLMInterface): LLM object to generate the Cypher query.
         neo4j_schema (Optional[str]): Neo4j schema used to generate the Cypher query.
         examples (Optional[list[str], optional): Optional user input/query pairs for the LLM to use as examples.
diff --git a/src/neo4j_graphrag/utils.py b/src/neo4j_graphrag/utils.py
index 5f1b322f..77109046 100644
--- a/src/neo4j_graphrag/utils.py
+++ b/src/neo4j_graphrag/utils.py
@@ -14,8 +14,7 @@
 #  limitations under the License.
 from __future__ import annotations
 
-import inspect
-from typing import Any, Optional, Union
+from typing import Any, Optional
 
 import neo4j
 
@@ -28,12 +27,10 @@ def validate_search_query_input(
 
 
 async def execute_query(
-    driver: Union[neo4j.Driver, neo4j.AsyncDriver], query: str, **kwargs: Any
-) -> list[neo4j.Record]:
-    if inspect.iscoroutinefunction(driver.execute_query):
-        records, _, _ = await driver.execute_query(query, **kwargs)
-        return records  # type: ignore[no-any-return]
-    # ignoring type because mypy complains about coroutine
-    # but we're sure at this stage we do not have a coroutine anymore
-    records, _, _ = driver.execute_query(query, **kwargs)  # type: ignore[misc]
-    return records  # type: ignore[no-any-return]
+    driver: neo4j.Driver | neo4j.AsyncDriver, query: str, **kwargs: Any
+) -> Any:
+    if isinstance(driver, neo4j.AsyncDriver):
+        result = await driver.execute_query(query, **kwargs)
+    else:
+        result = driver.execute_query(query, **kwargs)
+    return result