chore: Remove unused vector search component and update vector store parameters format

src/backend/base/langflow/components/__init__.py

@@ -12,6 +12,5 @@ __all__ = [
     "textsplitters",
     "toolkits",
     "tools",
-    "vectorsearch",
     "vectorstores",
 ]

src/backend/base/langflow/custom/custom_component/component.py

@@ -221,5 +221,6 @@ class Component(CustomComponent):
             return [field.name for field in inputs]
         except KeyError:
             return []
-            return []
+
-            return []
+    def build(self, **kwargs):
+        self.set_attributes(kwargs)

tests/integration/astra/test_astra_component.py

@@ -4,7 +4,6 @@ import pytest
 from langchain_core.documents import Document
 from langflow.components.memories.AstraDBMessageReader import AstraDBMessageReaderComponent
 from langflow.components.memories.AstraDBMessageWriter import AstraDBMessageWriterComponent
-from langflow.components.vectorsearch.AstraDBSearch import AstraDBSearchComponent
 from langflow.components.vectorstores.AstraDB import AstraVectorStoreComponent
 from langflow.schema.data import Data
 
@@ -78,10 +77,11 @@ def test_astra_embeds_and_search(astra_fixture):
         collection_name=SEARCH_COLLECTION,
         embedding=embedding,
         inputs=records,
+        add_to_vector_store=True,
     )
+    component.build_vector_store()
 
-    component = AstraDBSearchComponent()
+    component.build(
-    records = component.build(
         token=application_token,
         api_endpoint=api_endpoint,
         collection_name=SEARCH_COLLECTION,
@@ -89,6 +89,7 @@ def test_astra_embeds_and_search(astra_fixture):
         input_value="test1",
         number_of_results=1,
     )
+    records = component.search_documents()
 
     assert len(records) == 1