diff --git a/pyrit/embedding/_text_embedding.py b/pyrit/embedding/_text_embedding.py
deleted file mode 100644
index 71d06abc34..0000000000
--- a/pyrit/embedding/_text_embedding.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# Copyright (c) Microsoft Corporation.
-# Licensed under the MIT license.
-
-import abc
-from typing import Any, Union
-
-import tenacity
-from openai import AzureOpenAI, OpenAI
-
-from pyrit.models import (
-    EmbeddingData,
-    EmbeddingResponse,
-    EmbeddingSupport,
-    EmbeddingUsageInformation,
-)
-
-
-class _TextEmbedding(EmbeddingSupport, abc.ABC):
-    """Text embedding base class."""
-
-    _client: Union[OpenAI, AzureOpenAI]
-    _model: str
-
-    def __init__(self) -> None:
-        super().__init__()
-        if not (hasattr(self, "_client") and hasattr(self, "_model")):
-            raise NotImplementedError(
-                "Text embedding client and model need to be provided by the implementing child class."
-            )
-
-    @tenacity.retry(wait=tenacity.wait_fixed(0.1), stop=tenacity.stop_after_delay(3))
-    def generate_text_embedding(self, text: str, **kwargs: Any) -> EmbeddingResponse:
-        """
-        Generate text embedding.
-
-        Args:
-            text: The text to generate the embedding for
-            **kwargs: Additional arguments to pass to the LLM client API
-
-        Returns:
-            The embedding response
-        """
-        embedding_obj = self._client.embeddings.create(input=text, model=self._model, **kwargs)
-        return EmbeddingResponse(
-            model=embedding_obj.model,
-            object=embedding_obj.object,
-            data=[
-                EmbeddingData(
-                    embedding=embedding_obj.data[0].embedding,
-                    index=embedding_obj.data[0].index,
-                    object=embedding_obj.data[0].object,
-                )
-            ],
-            usage=EmbeddingUsageInformation(
-                prompt_tokens=embedding_obj.usage.prompt_tokens,
-                total_tokens=embedding_obj.usage.total_tokens,
-            ),
-        )