diff --git a/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py b/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py
index 619befdefbd5..88a2d318aa95 100644
--- a/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py
+++ b/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py
@@ -100,8 +100,8 @@ def retrieve_docs(self, problem: str, n_results: int = 20, search_string: str =
         """
         Args:
             problem (str): the problem to be solved.
-            n_results (int): the number of results to be retrieved.
-            search_string (str): only docs containing this string will be retrieved.
+            n_results (int): the number of results to be retrieved. Default is 20.
+            search_string (str): only docs that contain an exact match of this string will be retrieved. Default is "".
         """
         if not self._collection:
             print("Trying to create collection.")
diff --git a/autogen/agentchat/contrib/retrieve_user_proxy_agent.py b/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
index 5edc13f2408a..777ac1f87cf4 100644
--- a/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
+++ b/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
@@ -367,8 +367,8 @@ def retrieve_docs(self, problem: str, n_results: int = 20, search_string: str =
 
         Args:
             problem (str): the problem to be solved.
-            n_results (int): the number of results to be retrieved.
-            search_string (str): only docs containing this string will be retrieved.
+            n_results (int): the number of results to be retrieved. Default is 20.
+            search_string (str): only docs that contain an exact match of this string will be retrieved. Default is "".
         """
         if not self._collection or not self._get_or_create:
             print("Trying to create collection.")
diff --git a/autogen/retrieve_utils.py b/autogen/retrieve_utils.py
index ba856e3b238e..6f423b30715f 100644
--- a/autogen/retrieve_utils.py
+++ b/autogen/retrieve_utils.py
@@ -335,12 +335,12 @@ def query_vector_db(
         and query function.
 
     Args:
-        query_texts (List[str]): the query texts.
+        query_texts (List[str]): the list of strings which will be used to query the vector db.
         n_results (Optional, int): the number of results to return. Default is 10.
         client (Optional, API): the chromadb compatible client. Default is None, a chromadb client will be used.
         db_path (Optional, str): the path to the vector db. Default is "/tmp/chromadb.db".
         collection_name (Optional, str): the name of the collection. Default is "all-my-documents".
-        search_string (Optional, str): the search string. Default is "".
+        search_string (Optional, str): the search string. Only docs that contain an exact match of this string will be retrieved. Default is "".
         embedding_model (Optional, str): the embedding model to use. Default is "all-MiniLM-L6-v2". Will be ignored if
             embedding_function is not None.
         embedding_function (Optional, Callable): the embedding function to use. Default is None, SentenceTransformer with