diff --git a/examples/apps/documents_chat.py b/examples/apps/documents_chat.py
index 8f7f24a4..576d6e37 100644
--- a/examples/apps/documents_chat.py
+++ b/examples/apps/documents_chat.py
@@ -125,7 +125,9 @@ async def _handle_message(
         if not self._documents_ingested:
             yield self.NO_DOCUMENTS_INGESTED_MESSAGE
         results = await self.document_search.search(message[-1])
-        prompt = RAGPrompt(QueryWithContext(query=message, context=[i.text_representation for i in results]))
+        prompt = RAGPrompt(
+            QueryWithContext(query=message, context=[i.text_representation for i in results if i.text_representation])
+        )
         response = await self._llm.generate(prompt)
         yield response.answer
 
diff --git a/packages/ragbits-core/src/ragbits/core/embeddings/base.py b/packages/ragbits-core/src/ragbits/core/embeddings/base.py
index 2ef2b9b4..83cbbfe6 100644
--- a/packages/ragbits-core/src/ragbits/core/embeddings/base.py
+++ b/packages/ragbits-core/src/ragbits/core/embeddings/base.py
@@ -6,6 +6,7 @@ class EmbeddingTypes(Enum):
     """
     Enum for listing supported embedding types
     """
+
     TEXT: str = "text"
     IMAGE: str = "image"
 
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/_main.py b/packages/ragbits-document-search/src/ragbits/document_search/_main.py
index 4dec6e14..45510c0e 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/_main.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/_main.py
@@ -152,7 +152,7 @@ async def insert_elements(self, elements: list[Element]) -> None:
         """
         elements_with_text = [element for element in elements if element.key]
         images_with_text = [element for element in elements_with_text if isinstance(element, ImageElement)]
-        vectors = await self.embedder.embed_text([element.key for element in elements_with_text])
+        vectors = await self.embedder.embed_text([element.key for element in elements_with_text if element.key])
 
         image_elements = [element for element in elements if isinstance(element, ImageElement)]
 
@@ -160,7 +160,7 @@ async def insert_elements(self, elements: list[Element]) -> None:
         if num_images_with_no_textual_repr > 0:
             warnings.warn(
                 f"{len(image_elements) - len(images_with_text)} of {len(image_elements)}"
-                f"Have no textual representation"
+                "Have no textual representation and have not been text emedded"
             )
 
         entries = [
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py b/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
index a6856868..16070439 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
@@ -62,7 +62,7 @@ def key(self) -> str | None:
     @computed_field  # type: ignore[prop-decorator]
     @property
     @abstractmethod
-    def text_representation(self) -> str:
+    def text_representation(self) -> str | None:
         """
         Get the text representation of the element.
 
@@ -116,7 +116,7 @@ def to_vector_db_entry(self, vector: list[float], embedding_type: EmbeddingTypes
             metadata["embedding_type"] = str(embedding_type)
         return VectorStoreEntry(
             id=vector_store_entry_id,
-            key=self.key,
+            key=self.key or "null",
             vector=vector,
             metadata=metadata,
         )