diff --git a/examples/similarity_search_for_text.py b/examples/similarity_search_for_text.py
index d3f75670..e282b7d5 100644
--- a/examples/similarity_search_for_text.py
+++ b/examples/similarity_search_for_text.py
@@ -3,7 +3,7 @@
 
 from random import random
 from neo4j_genai.embedder import Embedder
-from neo4j_genai.indexes import create_vector_index, drop_index
+from neo4j_genai.indexes import create_vector_index
 
 URI = "neo4j://localhost:7687"
 AUTH = ("neo4j", "password")
@@ -15,7 +15,7 @@
 driver = GraphDatabase.driver(URI, auth=AUTH)
 
 
-# Create Embedder object
+# Create CustomEmbedder object with the required Embedder type
 class CustomEmbedder(Embedder):
     def embed_query(self, text: str) -> list[float]:
         return [random() for _ in range(DIMENSION)]
@@ -52,4 +52,4 @@ def embed_query(self, text: str) -> list[float]:
 
 # Perform the similarity search for a text query
 query_text = "hello world"
-# print(retriever.search(query_text=query_text, top_k=5))
+print(retriever.search(query_text=query_text, top_k=5))
diff --git a/src/neo4j_genai/retrievers.py b/src/neo4j_genai/retrievers.py
index d3b008b4..9ce9d6dc 100644
--- a/src/neo4j_genai/retrievers.py
+++ b/src/neo4j_genai/retrievers.py
@@ -66,7 +66,8 @@ def search(self, *args, **kwargs) -> Any:
 
 class VectorRetriever(Retriever):
     """
-    Provides retrieval method using vector search over embeddings
+    Provides retrieval method using vector search over embeddings.
+    If an embedder is provided, it needs to have the required Embedder type.
     """
 
     def __init__(
@@ -80,11 +81,6 @@ def __init__(
         self._verify_version()
         self.index_name = index_name
         self.return_properties = return_properties
-
-        if embedder and not isinstance(embedder, Embedder):
-            raise TypeError(
-                "Provided 'embedder' must be an instance of Embedder with an 'embed_query' method."
-            )
         self.embedder = embedder
 
     def search(
@@ -160,7 +156,8 @@ def search(
 
 class VectorCypherRetriever(Retriever):
     """
-    Provides retrieval method using vector similarity and custom Cypher query
+    Provides retrieval method using vector similarity and custom Cypher query.
+    If an embedder is provided, it needs to have the required Embedder type.
     """
 
     def __init__(
@@ -174,11 +171,6 @@ def __init__(
         self._verify_version()
         self.index_name = index_name
         self.retrieval_query = retrieval_query
-
-        if embedder and not isinstance(embedder, Embedder):
-            raise TypeError(
-                "Provided 'embedder' must be an instance of Embedder with an 'embed_query' method."
-            )
         self.embedder = embedder
 
     def search(