diff --git a/src/backend/base/langflow/components/vectorstores/FAISS.py b/src/backend/base/langflow/components/vectorstores/FAISS.py
index 5a3c4f1c9..ee19c6bb6 100644
--- a/src/backend/base/langflow/components/vectorstores/FAISS.py
+++ b/src/backend/base/langflow/components/vectorstores/FAISS.py
@@ -21,26 +21,24 @@ class FaissVectorStoreComponent(LCVectorStoreComponent):
     icon = "FAISS"
 
     inputs = [
-        StrInput(
-            name="folder_path",
-            display_name="Folder Path",
-            info="Path to save the FAISS index. It will be relative to where Langflow is running.",
-        ),
         StrInput(
             name="index_name",
             display_name="Index Name",
             value="langflow_index",
         ),
-        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
-        DataInput(
-            name="vector_store_inputs",
-            display_name="Vector Store Inputs",
-            is_list=True,
+        StrInput(
+            name="persist_directory",
+            display_name="Persist Directory",
+            info="Path to save the FAISS index. It will be relative to where Langflow is running.",
         ),
-        BoolInput(
-            name="add_to_vector_store",
-            display_name="Add to Vector Store",
-            info="If true, the Vector Store Inputs will be added to the Vector Store.",
+        MultilineInput(
+            name="search_query",
+            display_name="Search Query",
+        ),
+        DataInput(
+            name="ingest_data",
+            display_name="Ingest Data",
+            is_list=True,
         ),
         BoolInput(
             name="allow_dangerous_deserialization",
@@ -49,10 +47,7 @@ class FaissVectorStoreComponent(LCVectorStoreComponent):
             advanced=True,
             value=True,
         ),
-        MultilineInput(
-            name="search_input",
-            display_name="Search Input",
-        ),
+        HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
         IntInput(
             name="number_of_results",
             display_name="Number of Results",
@@ -66,27 +61,20 @@ class FaissVectorStoreComponent(LCVectorStoreComponent):
         """
         Builds the FAISS object.
         """
-        if not self.folder_path:
+        if not self.persist_directory:
             raise ValueError("Folder path is required to save the FAISS index.")
-        path = self.resolve_path(self.folder_path)
+        path = self.resolve_path(self.persist_directory)
 
-        if self.add_to_vector_store:
-            documents = []
-            for _input in self.vector_store_inputs or []:
-                if isinstance(_input, Data):
-                    documents.append(_input.to_lc_document())
-                else:
-                    documents.append(_input)
+        documents = []
 
-            faiss = FAISS.from_documents(documents=documents, embedding=self.embedding)
-            faiss.save_local(Text(path), self.index_name)
-        else:
-            faiss = FAISS.load_local(
-                folder_path=Text(path),
-                embeddings=self.embedding,
-                index_name=self.index_name,
-                allow_dangerous_deserialization=self.allow_dangerous_deserialization,
-            )
+        for _input in self.ingest_data or []:
+            if isinstance(_input, Data):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        faiss = FAISS.from_documents(documents=documents, embedding=self.embedding)
+        faiss.save_local(Text(path), self.index_name)
 
         return faiss
 
@@ -94,12 +82,12 @@ class FaissVectorStoreComponent(LCVectorStoreComponent):
         """
         Search for documents in the FAISS vector store.
         """
-        if not self.folder_path:
+        if not self.persist_directory:
             raise ValueError("Folder path is required to load the FAISS index.")
-        path = self.resolve_path(self.folder_path)
+        path = self.resolve_path(self.persist_directory)
 
         vector_store = FAISS.load_local(
-            folder_path=Text(path),
+            persist_directory=Text(path),
             embeddings=self.embedding,
             index_name=self.index_name,
             allow_dangerous_deserialization=self.allow_dangerous_deserialization,
@@ -108,12 +96,12 @@ class FaissVectorStoreComponent(LCVectorStoreComponent):
         if not vector_store:
             raise ValueError("Failed to load the FAISS index.")
 
-        logger.debug(f"Search input: {self.search_input}")
+        logger.debug(f"Search input: {self.search_query}")
         logger.debug(f"Number of results: {self.number_of_results}")
 
-        if self.search_input and isinstance(self.search_input, str) and self.search_input.strip():
+        if self.search_query and isinstance(self.search_query, str) and self.search_query.strip():
             docs = vector_store.similarity_search(
-                query=self.search_input,
+                query=self.search_query,
                 k=self.number_of_results,
             )