fix(components): fix import statement in UnstructuredWordDocumentLoader.py to use langflow instead of langchain

fix(vectorstores): change optional List[Document] parameters to required List[Document] in FAISS.py, Pinecone.py, Qdrant.py, and SupabaseVectorStore.py to improve consistency and avoid potential NoneType errors

src/backend/langflow/components/documentloaders/UnstructuredWordDocumentLoader.py

@@ -1,4 +1,4 @@
-from langchain import CustomComponent
+from langflow import CustomComponent
 from langflow.field_typing import Document
 from typing import Optional, Dict
 

src/backend/langflow/components/vectorstores/FAISS.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langchain_community.vectorstores.faiss import FAISS
-from typing import Optional, List, Union
+from typing import List, Union
 from langchain.schema import BaseRetriever
 from langchain.vectorstores.base import VectorStore
 from langflow.field_typing import (
@@ -23,6 +23,6 @@ class FAISSComponent(CustomComponent):
     def build(
         self,
         embedding: Embeddings,
-        documents: Optional[List[Document]] = None,
+        documents: List[Document] = None,
     ) -> Union[VectorStore, FAISS, BaseRetriever]:
         return FAISS.from_documents(documents=documents, embedding=embedding)

src/backend/langflow/components/vectorstores/Pinecone.py

@@ -28,7 +28,7 @@ class PineconeComponent(CustomComponent):
     def build(
         self,
         embedding: Embeddings,
-        documents: Optional[List[Document]] = None,
+        documents: List[Document] = None,
         index_name: Optional[str] = None,
         pinecone_api_key: Optional[str] = None,
         pinecone_env: Optional[str] = None,

src/backend/langflow/components/vectorstores/Qdrant.py

@@ -35,7 +35,7 @@ class QdrantComponent(CustomComponent):
     def build(
         self,
         embedding: Embeddings,
-        documents: Optional[List[Document]] = None,
+        documents: List[Document] = None,
         api_key: Optional[str] = None,
         collection_name: Optional[str] = None,
         content_payload_key: str = "page_content",

src/backend/langflow/components/vectorstores/SupabaseVectorStore.py

@@ -1,5 +1,5 @@
 from langflow import CustomComponent
-from typing import Optional, List, Union
+from typing import List, Union
 from langchain_community.vectorstores.supabase import SupabaseVectorStore
 from langflow.field_typing import (
     Document,
@@ -29,7 +29,7 @@ class SupabaseComponent(CustomComponent):
     def build(
         self,
         embedding: Embeddings,
-        documents: Optional[List[Document]] = None,
+        documents: List[Document],
         query_name: str = "",
         search_kwargs: NestedDict = {},
         supabase_service_key: str = "",