diff --git a/llama_stack/providers/remote/vector_io/chroma/chroma.py b/llama_stack/providers/remote/vector_io/chroma/chroma.py
index bd968d96d..596f288fa 100644
--- a/llama_stack/providers/remote/vector_io/chroma/chroma.py
+++ b/llama_stack/providers/remote/vector_io/chroma/chroma.py
@@ -112,6 +112,9 @@ class ChromaIndex(EmbeddingIndex):
     ) -> QueryChunksResponse:
         raise NotImplementedError("Keyword search is not supported in Chroma")
 
+    async def delete_chunk(self, chunk_id: str) -> None:
+        raise NotImplementedError("delete_chunk is not supported in Chroma")
+
     async def query_hybrid(
         self,
         embedding: NDArray,
@@ -208,3 +211,6 @@ class ChromaVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
         index = VectorDBWithIndex(vector_db, ChromaIndex(self.client, collection), self.inference_api)
         self.cache[vector_db_id] = index
         return index
+
+    async def _delete_openai_chunk_from_vector_store(self, store_id: str, chunk_id: str) -> None:
+        raise NotImplementedError("OpenAI Vector Stores API is not supported in Chroma")
diff --git a/llama_stack/providers/remote/vector_io/qdrant/qdrant.py b/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
index 5bdea0ce8..cbaba0543 100644
--- a/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
+++ b/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
@@ -82,6 +82,9 @@ class QdrantIndex(EmbeddingIndex):
 
         await self.client.upsert(collection_name=self.collection_name, points=points)
 
+    async def delete_chunk(self, chunk_id: str) -> None:
+        raise NotImplementedError("delete_chunk is not supported in qdrant")
+
     async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
         results = (
             await self.client.query_points(
@@ -307,3 +310,6 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
         file_id: str,
     ) -> VectorStoreFileObject:
         raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
+
+    async def _delete_openai_chunk_from_vector_store(self, store_id: str, chunk_id: str) -> None:
+        raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
diff --git a/llama_stack/providers/remote/vector_io/weaviate/weaviate.py b/llama_stack/providers/remote/vector_io/weaviate/weaviate.py
index 35bb40454..6929aeb54 100644
--- a/llama_stack/providers/remote/vector_io/weaviate/weaviate.py
+++ b/llama_stack/providers/remote/vector_io/weaviate/weaviate.py
@@ -66,6 +66,9 @@ class WeaviateIndex(EmbeddingIndex):
         # TODO: make this async friendly
         collection.data.insert_many(data_objects)
 
+    async def delete_chunk(self, chunk_id: str) -> None:
+        raise NotImplementedError("delete_chunk is not supported in Chroma")
+
     async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
         collection = self.client.collections.get(self.collection_name)
 
@@ -264,3 +267,6 @@ class WeaviateVectorIOAdapter(
 
     async def _delete_openai_vector_store_file_from_storage(self, store_id: str, file_id: str) -> None:
         raise NotImplementedError("OpenAI Vector Stores API is not supported in Weaviate")
+
+    async def _delete_openai_chunk_from_vector_store(self, store_id: str, chunk_id: str) -> None:
+        raise NotImplementedError("OpenAI Vector Stores API is not supported in Weaviate")